Introduction
As a chronic disease, Obesity characterized by excessive or abnormally distributed adipose tissue (AT) accumulation, is clinically defined by body mass index (BMI ≥ 30 kg/m 2 ) and recognized as a multifactorial disorder driven by systemic energy imbalance [ 1 – 3 ]. Beyond caloric surplus, emerging evidence implicates interconnected etiological drivers, including obesogenic environments (e.g., hyperpalatable diets, sedentary technologies), gut dysbiosis, genetic predispositions, and epigenetic modifications, which collectively disrupt metabolic homeostasis [ 4 ]. Critically, obesity propagates a self-reinforcing cycle of complications—T2DM, CVD, NAFLD, respiratory diseases, ORN, malignancies, musculoskeletal disorders, and psychological comorbidities-contributing to elevated morbidity, mortality, and healthcare expenditures globally [ 5 , 6 ].
Alarmingly, global obesity prevalence has surged over five decades, with projections indicating 1.9 billion affected adults by 2035 [ 7 , 8 ]. In China, a nationwide cross-sectional research (n = 15.8 million) revealed 34.8% overweight (BMI 24–27.9 kg/m 2 ) and 14.1% obese (BMI ≥ 28 kg/m 2 ) individuals, with obesity-associated comorbidities disproportionately burdening this cohort (P < 0.001) [ 9 ]. This escalating epidemic underscores an urgent need for innovative therapeutic strategies, as current interventions, lifestyle modification, pharmacotherapy and bariatric surgery, face limitations: suboptimal efficacy (5–15% weight loss), adverse effects (e.g., gastrointestinal intolerance, surgical risks), and poor long-term adherence.
Against this backdrop, natural compounds like BBR, an isoquinoline alkaloid from Coptis chinensis, emerge as promising candidates. With a 70-year safety record in treating infectious diarrhea in China and preclinical evidence of multi-target anti-obesity actions (e.g., AMPK activation, gut microbiota modulation), BBR represents a paradigm shift toward accessible, low-cost therapies [ 10 ]. However, translational barriers persist, notably poor oral bioavailability (< 5%) and insufficient obesity-specific clinical validation.
This review synthesizes obesity’s pathophysiological axes, expounds the pathogenesis of common obesity complications, focuses on summarizing new anti-obesity drugs and targets, evaluates therapeutic gaps, and highlights BBR’s mechanistic novelty—including adipose browning and epigenetic regulation—while proposing formulation innovations (e.g., nanoparticle delivery, structural analogs) to bridge preclinical promise to clinical impact. By contextualizing BBR within the obesity therapeutic landscape, this work advances a roadmap for next-generation anti-obesity agents combining efficacy, safety, and scalability.
Pathophysiology of obesity
Considering the substantial differences in how individuals respond to obesity treatment and the intricate etiology of obesity, a profound comprehension of the pathophysiological mechanisms underlying obesity is of utmost consequence for formulating reasonable, efficacious, and cost-efficient intervention strategies. Through a comprehensive review of the existing literature on the pathophysiology of obesity, the following is a summary of its pathophysiological mechanisms.
The imbalance of energy homeostasis and metabolic adaptation
The three primary components of energy homeostasis are energy intake, expenditure, and storage. Long-term energy storage occurs in adipocytes as intracellular droplets of triacylglycerol (TG). Adipocytes are mostly arranged in distinct AT depots where can be divided into five main categories: subcutaneous, visceral or intraperitoneal, pelvic and retroperitoneal, intra- or extra-pericardial and intramuscular [ 11 , 12 ]. An energy imbalance is a hallmark of obesity (Fig. 1 ), where energy intake surpasses energy expenditure and the extra energy is retained in adipocytes [ 7 ].

AT predominantly exists in two primary forms: brown AT (BAT) and white AT (WAT), each of which has distinct physiological roles (Fig. 1 ). While WAT is dispersed throughout the body, BAT is predominantly located in the cervical and subscapular regionsis [ 13 ]. WAT primarily functions to store energy by converting glucose and fatty acids (FA) into triglycerides, which are housed in large unilocular lipid droplets. Subsequently, these are released as free fatty acids (FFA) within adipocytes [ 14 ]. In contrast, BAT is mitochondrial and essential for promoting energy expenditure and non-shivering thermogenesis [ 15 , 16 ]. The thermogenic properties of BAT are largely due to its high mitochondrial density and the presence of uncoupling protein 1 (UCP1), which facilitates heat production by disrupting the normal process of oxidative phosphorylation [ 17 ].
Apart from WAT and BAT, another intermediate form between the WAT and BAT is beige adipose tissue (BeAT) (Fig. 1 ), which is frequently found inside WAT. Despite BeAT resembles BAT in morphology, it typically originate from a Myf5-negative cell lineage, akin to WAT. Beige adipocytes are adept at producing heat by separating lipid oxidation from ATP synthesis [ 13 ]. Research indicates that beige adipocytes can develop from specific preadipocyte populations [ 18 ] inside subcutaneous WAT or trans-differentiate pre-existing WAT [ 19 , 20 ]. The process of WAT browning (Fig. 1 ) describes the process by which BeAT is generated within WAT. This transformation enhances energy expenditure, reduces the detrimental impacts of excessive WAT storage, and ultimately improves metabolic wellbeing [ 15 , 21 , 22 ].
The coordinated operation of the three types of AT guarantees an optimal metabolic state. This process involves a precisely coordinated structural and metabolic reorganization in response to physiological cues, enabling metabolic adaptability to satisfy the body’s requirements [ 23 ]. These metabolic and thermogenic reactions are mainly propelled by the distinctive features of the mitochondrial population. Mitochondrial malfunction disrupts the metabolic flexibility of adipocytes, contributing to metabolic disorders such as insulin resistance (IR), obesity and T2DM [ 24 ]. These metabolic changes initiate a vicious cycle that exerts a negative influence on the functionality of AT and undermines overall metabolic homeostasis [ 25 ]. According to Huang et al., the HFD group mice’s and obese individuals’ WAT browning processes were inhibited, which in turn inhibited local energy expenditure and exacerbation of obesity-related conditions [ 26 ].
Hormonal regulation
Adipocytes secrete a range of cytokines, including leptin, vastatin, interleukin- 6 (IL—6), adiponectin, tumor necrosis factor-alpha (TNF-α), resistin, angiotensinogen, aromatase, and adipsin. These bioactive molecules are integral to the regulation of appetite, satiety, and body fat content. When their normal regulatory mechanisms are disrupted, it can lead to IR associated with obesity as well as obesity itself, as illustrated in Fig. 2 [ 27 , 28 ]. Gjermeni et al. claims that the primary factors regulating energy balance are insulin and leptin [ 29 ].

Leptin, encoded by the obese gene, mediates its biological functions through binding and activation of specific leptin receptor (LepR) following its production and release by adipocytes within WAT (Fig. 2 ) [ 30 ]. This adipocyte-derived hormone serves as a signaling molecule that communicates the body’s nutritional state, particularly during conditions of energy deficit. Consequently, physiological states characterized by caloric restriction or reduced adiposity demonstrate significant decreases in circulating leptin concentrations [ 31 ]. Leptin can influence appetite and calorie intake by binding to receptors that express pro-opiomelanocortin (POMC) in the brainstem, hypothalamus and arcuate nucleus (ARC) [ 32 ]. Mechanistically, leptin suppresses the activity of hypothalamic ARC neurons responsible for secreting neuropeptide Y (NPY), a potent orexigenic mediator that enhances hunger signals and reduces metabolic energy utilization, thereby promoting adipose accumulation [ 33 ]. HFD can trigger the activation of nuclear factor-κB (NF-κB) and its upstream regulatory factor, inhibitor of NF-κB kinase-β (IKKβ). This activation occurs by increasing endoplasmic reticulum (ER) stress within the hypothalamus. Such a series of events potentially results in the development of leptin resistance [ 34 ]. Leptin resistance manifests as diminished satiety signaling, hyperphagia, and progressive body mass accumulation, serving as key contributors to metabolic dysregulation in obesity [ 30 ]. The active free form of circulating leptin in individuals with obesity accounts for 85% of total leptin, inducing long-form leptin receptor (LepRb) desensitization through chronic overstimulation [ 35 ]. Although the actual quantity of leptin present in the cerebrospinal fluid (CSF) of overweight individuals might be greater compared to that of slender people, the efficacy of leptin’s transportation across the blood—brain barrier (BBB) (quantified by the ratio of CSF to plasma leptin) drops by up to 80% among the obese [ 36 , 37 ]. Similarly, HFD rapidly activates astrocytes, causing inflammation and hyperleptinemia. In addition, a prolonged HFD further rouses astrocytes and promotes inflammation, which decreases the amount of leptin that reaches the brain [ 38 , 39 ]. Based on these discoveries, it can be concluded that the transportation of leptin across the BBB is impaired in obese individuals.
The body can effectively handle the burden of dietary fat (such as triglycerides), protein, and carbohydrates thanks to the post-meal elevation in plasma insulin levels. Three signaling pathways, namely the mitogen-activated protein (MAP) kinase (extracellular signal-regulated kinase, ERK) pathway, the metabolic (phosphatidylinositol 3-kinase-protein kinase B, PI3K-AKT) pathway, and the oxidative transport chain pathway, are used by Williams et al. to summarize the underlying mechanisms [ 40 ]. As illustrated in Fig. 2 , insulin-mediated satiation occurs via receptor activation within ARC nucleus POMC and agouti-related peptide and NPY (AgRP/NPY) neural circuits that govern energy homeostasis, nutrient partitioning, and glucose regulation [ 41 ]. Additionally, numerous researches indicated that prolonged overeating, temporary inactivity, sedentary behavior, and sleep deprivation all raised whole-body IR [ 42 – 44 ]. Because of enhanced lipolysis, hyperinsulinemia results in decreased development of AT while promoting lipolytic release of FFAs from triglyceride depots. However, a major cause of IR, ectopic lipid deposition and lipotoxicity are brought on by the excessive accumulation of FFAs in insulin-sensitive non-AT in obese individuals [ 45 ]. The pathophysiological progression of insulin resistance demonstrates bidirectional interactions with obesity (Fig. 2 ), constituting a fundamental mechanism underlying obesity-associated metabolic comorbidities [ 46 ].
Initially characterized as a growth hormone (GH)-releasing peptide, ghrelin (Fig. 2 ) has emerged as a pleiotropic regulator of energy balance, exhibiting inverse correlations with BMI and direct involvement in appetite modulation [ 47 , 48 ]. In situations of positive energy balance, such as obesity, the expression of ghrelin is down-regulated. Conversely, in states of under-nutrition, like anorexia nervosa, its expression is up-regulated [ 49 , 50 ]. In the ventromedial nucleus of the hypothalamus (VMH), ghrelin activates the cellular energy sensor AMP-activated protein kinase (AMPK) [ 51 ] via binding to growth hormone secretagogue receptor (GHSR) and stimulating the calcium/calmodulin-dependent protein kinase kinase 2 (CaMKK2)-AMPK axis [ 52 ] and hypothalamic sirtuin 1 (SIRT1)-p53 axis [ 53 ]. In both mice and humans, ghrelin-dependent hyperphagia and obesity are promoted by chronic AMPK activation [ 54 ]. Additionally, obese mice have lower levels of GHSR expression and ghrelin transport across the BBB, which results in decreased ghrelin sensitivity and may encourage hypothalamic ghrelin resistance [ 55 , 56 ].
Through its autocrine activity, adiponectin (AdipoQ) (Fig. 2 ), an adipocyte-derived cytokine encoded by the chromosome's AdipoQ gene, aids in the development of adipocyte cells [ 57 ]. By significantly boosting PPAR-α expression and activity, which leads to the up-regulation of acetyl CoA oxidase (ACO) and uncoupling proteins (UCPs), AdipoQ stimulates FA oxidation and energy expenditure (Fig. 2 ) [ 58 ]. AdipoQ demonstrates proportional relationships with insulin sensitivity that become attenuated in obese states, as evidenced by clinical biomarker studies [ 59 , 60 ]. According to Singh’s research, AT in obese individuals exhibits decreased AdipoQ secretion due to compromised leptin signaling and elevated caveolin- 1 expression [ 61 ].
The gut, brainstem, and endocrine pancreas all express Glucagon-like peptide- 1 (GLP- 1), which binds to GLP- 1 receptor (GLP- 1R) to regulate energy balance (Fig. 2 ) [ 62 ]. Through G protein α subunit (Gαs), GLP- 1R stimulates adenylate cyclase and raises cyclic AMP (cAMP) levels in the pancreas. This, in turn, initiates protein kinase A (PKA)-dependent intracellular signaling pathways, which ultimately trigger the release of insulin and induce genetic modifications [ 63 – 66 ]. Through Gαs and PKA, GLP- 1R stimulates mitogen-activated protein kinase (MAPK) and AMPK and improves calcium influx through VGCCs in the brain [ 67 ]. When nutrients pass through the gut, they cause the release of GLP- 1and then interact with GLP- 1Rs on the vagus nerve to activate the vagal afferent neurons. These neurons release glutamate, which excites postsynaptic nucleus tractus solitarius (NTS) neurons with specific phenotypes. The axons of NTS neurons project monosynaptically to anatomically distributed targets in the central nervous system (CNS), influencing the excitability of neurons in identified nuclei. This process leads to the release of GLP- 1 in the brain and contributes to the inhibitory regulation of food intake [ 68 , 69 ]. Experimental models utilizing transgenic reporter mice revealed that liraglutide potentiates GABAergic neurotransmission, directly stimulating POMC neurons while indirectly suppressing AgRP/NPY activity through GABA receptor-mediated inhibition [ 70 ]. Furthermore, GLP- 1 lowers the rate of gastric emptying (GE) by activating myenteric neurons and vagal afferent nerves, it promotes satiety, reduces calorie intake, and has anorexigenic effects. GLP- 1 is linked to the mechanism that promotes meal termination for cholecystokinin (CCK) [ 71 ]. By cleaving an X-Pro or X-Ala dipeptide, dipeptidyl-peptidase IV (DPP-IV) renders GLP- 1 inactive [ 72 ]. Clinical investigations confirm these mechanisms, demonstrating that GLP- 1 infusion in non-obese fasting subjects significantly attenuates hunger perception while enhancing satiety signaling [ 73 ]. A multicenter RCT evaluating daily 3 mg liraglutide administration in overweight/obese participants (BMI > 27 kg/m 2 with comorbidities or > 30 kg/m 2 ) reported 8.4 kg mean weight reduction over 56 weeks, with 33.1% achieving > 10% body weight loss [ 74 ].
Ovarian hormones critically modulate the endocrine mechanisms underlying obesity (Fig. 2 ). Research by Leeners et al. demonstrates that cyclic variations in ovarian hormones alter feeding behavior by modifying two neural pathways: cognitive inhibitory control of appetite mediated by the lateral prefrontal cortex, and dopamine-dependent reward processing in the striatum governing food palatability. Their findings further reveal that elevated estrogen levels during the pre-ovulatory phase suppress caloric intake through dual mechanisms: enhancing the satiety-inducing effects of gastrointestinal peptide cholecystokinin (CCK) while simultaneously reducing hedonic responses to sweet-tasting foods in the follicular phase [ 75 ].
Neural control
A crucial regulatory center for feeding behavior and whole-body energy homeostasis, the ARC of the hypothalamus (Fig. 3 ) relays information between the periphery nervous system (PNS) and the CNS [ 76 ]. The ARC contains two functionally antagonistic neuronal groups, POMC and NPY/AgRP neurons, which collaboratively regulate systemic energy homeostasis, and integrate central and peripheral inputs [ 77 ].

POMC-derived melanocortin peptides exert catabolic effects via stimulation of melanocortin 4 receptor (MC4R)-positive neural circuits, resulting in appetite suppression and enhanced metabolic rate. Conversely, by counteracting these effects, NPY/AgRP neurons demonstrate anabolic functions through MC4R-dependent antagonism, promoting caloric conservation via reduced thermogenesis while stimulating feeding motivation [ 78 , 79 ]. Notably under energy surplus conditions, circulating satiety factors predominantly activate the POMC neuronal network to inhibit ingestive behavior and increase energy dissipation. Conversely, during negative energy balance, gastrointestinal-derived orexigenic signals preferentially engage NPY/AgRP neurons to amplify food-seeking drives while suppressing catabolic processes [ 80 – 82 ].
It is noteworthy that persistent food excess (HFD or leptin insufficiency) inhibits neurogenesis, which in turn impairs hypothalamic homeostatic regulation and dynamical plasticity [ 83 ]. Leptin receptor signaling pathway defects, ER stress, and decreased leptin transport across the BBB are some possible explanations [ 84 – 86 ]. Accumulating evidence indicates that diet-induced obesity correlates with chronic neuroinflammatory responses within the ARC of obese animal models [ 87 ]. Notably, hypothalamic inflammation disrupts POMC neuron functionality through dual mechanisms: cytokine-mediated alteration of neuropeptide secretion profiles, and impaired neuronal plasticity that compromises adaptive energy regulation. This pathological cascade establishes a self-perforcing cycle where disrupted neurotransmission exacerbates inflammatory signaling, ultimately leading to dysregulated appetite control and metabolic inflexibility [ 88 , 89 ].
Inflammation and immune responses
AT is essential to the pathophysiology of obesity and has a major impact on physiological and pathological processes, such as immunological responses and inflammation [ 90 ]. Both pro- and anti-inflammatory cytokines are secreted by AT’s immune cells. Pro-inflammatory cytokines promote IR and cause detrimental lipid metabolism in peripheral tissues, whereas anti-inflammatory cytokines attempt to preserve insulin sensitivity [ 91 , 92 ]. The progression of weight gain and subsequent obesity induces a phenotypic shift in WAT. This shift results in the formation of dysfunctional and inflammatory adipocytes, accompanied by the recruitment of immune cells into the stromal vascular compartment [ 93 ]. Inflammatory and defective adipocytes secrete pro-inflammatory cytokines both locally and systemically. This secretion results in systemic low-grade inflammation (Fig. 4 ).

Among the key pathways implicated in adipose tissue (AT) inflammation are the toll-like receptor 4 (TLR4)/phosphatidylinositol- 3’-kinase (PI3 K)/protein kinase B (Akt) pathway, the ER stress-induced unfolded protein response (UPR), and the IKKβ-NF-κB inhibitory pathway are three metabolic pathways that are significant in the development of AT inflammation [ 94 ]. Moreover, an important modulator of metabolic inflammation is the nucleotide-binding and oligomerization domain (NOD) leucine-rich repeat family pyrin domain-containing 3 (NLRP3) inflammasome pathway [ 94 ]. Supporting above-mentioned conclusions, De et al. discovered that the consumption of a HFD upregulates the expression of pro-inflammatory cytokines, including IL- 1, IL- 6 and TNF, in the hypothalamus, thereby triggering inflammatory cascades [ 95 ]. Furthermore, inflammation and leptin resistance related to obesity have been linked to ER stress [ 96 , 97 ]. Through a rise in reactive oxygen species (ROS) mediated by FFAs, an HFD in mice causes ER stress and persistent inflammation in WAT [ 98 ].
It is well recognized that obesity affects immunological function, just like other forms of malnutrition (Fig. 4 ). Weisberg et al. have indicated that activated adipose tissue macrophages (ATMs) are the primary sources of pro-inflammatory mediators. These include TNF-α, inducible nitric oxide synthase (iNOS), monocyte chemoattractant protein- 1 (MCP- 1), and IL- 6 [ 99 , 100 ]. There is additional evidence suggesting that obesity perpetuates low-grade chronic inflammation in WAT by triggering a self-perpetuating cycle of monocyte/macrophage infiltration [ 101 , 102 ].
Additionally, it seems that additional immune cells are involved in AT inflammation. According to recent reports, bidirectional interaction between adipocytes and neutrophils can trigger WAT inflammation by activating the endothelial cell adhesion protein ICAM- 1 or cytosolic phospholipase-A2α (cPLA2a), which then leads to the production of IL- 1β [ 103 , 104 ]. According to certain research, obese people have lower levels of regulatory T cells (Tregs), which may lead to long-term WAT inflammation and IR [ 105 – 107 ]. Additionally, obesity has been linked to increased B cell, mast cell, dendritic cell, and eosinophil activity, which activates T cells and AMTs to cause IR [ 108 – 111 ].
Genetics and epigenetics
In addition, it is well recognized that hereditary variables are widely acknowledged as crucial determinants of an individual’s susceptibility to obesity (Fig. 5 ) [ 112 ]. Twin and familial research indicates that hereditary influences account for 40 to 70 percent of the variability in human obesity [ 113 ]. Obesity genetic causes can be broadly categorized as either polygenic or monogenic mutations. The leptin-melanocortin pathway is the primary cause of monogenic obesity, and numerous genes, including AgRP, PYY (orexogenic) or MC4R, interfere with the appetite and weight regulation system [ 114 ]. Numerous genes work together to create polygenic obesity [ 115 ]. Neurodevelopmental abnormalities and other organ/system anomalies can lead to syndromic obesity, a severe form of obesity that may be brought by alterations in a wider chromosomal region that encompasses multiple genes [ 116 ].

Based on Martins’ research, those who have severe obesity with an onset prior to the age of two are advised to seek advice from experts in obesity medicine (Fig. 5 ). They should also contemplate undergoing screening for MC4R deficiency, POMC deficiency, and leptin deficiency [ 117 ]. Similarly, obesity additionally arises from chromosomal abnormalities, such as deletion of 17p11.2 (Smith Magenis syndrome), 11p13 (WAGR syndrome), 9q34 (Kleefstra syndrome), 6q16 (PWS-like syndrome), 2q37 (brachydactyly mental retardation syndrome), and 1p36 (monosomy 1p36 syndrome) [ 118 ].
Epigenetic alterations, such as modifications in DNA methylation, histone tails, and microRNAs (miRNAs), have emerged as crucial means for comprehensively analyzing the widespread prevalence of the obesity epidemic (Fig. 5 ). The most significant epigenetic mechanism for controlling gene expression seems to be DNA methylation. Houde’s study [ 119 ] uncovered a correlation between LDL-C levels and the DNA methylation status of the AdipoQ gene and leptin-encoding gene. Maternal metabolic health can also shape the DNA methylation profile of leptin at birth, thereby influencing the metabolic reprogramming associated with obesity [ 120 ]. In a similar vein, reduced methylation levels in the regions of insulin-like growth factor 2 (IGF2) have been associated with paternal obesity [ 121 ]. G protein-coupled receptor 75 (GPCR 75), functioning as a ciliary protein expressed in the brain, is predominantly found in the primary cilia of hypothalamic neurons and associated with a lower BMI. The ciliary positioning of GPCR 75 is essential for its functionality and role in controlling the formation of fat tissue [ 122 , 123 ].
Severe obesity is strongly tied to mutations in various GPCRs that govern neuro-endocrine processes, including those in the stimulatory Gαs and particular adenylate cyclases, such as ADCY3, which regulate feeding, satiety, adipogenesis, and fat accumulation [ 124 – 126 ]. Additionally, environmental factors such as obesogens, alterations in gut microbiota composition, and dietary imbalances can contribute to weight gain and metabolic dysregulation through epigenetic mechanisms [ 127 ].
Gut microbiome dysbiosis
There has been discussion over the role that early microbial dysbiosis plays in the development of metabolic diseases and obesity. Based on this, Ebert examined cause and effect in mice, and their research clearly shows that early microbial deprivation did not affect adiposity but instead caused IR and altered the expression of liver genes linked to glucose metabolism in mice [ 128 ]. Furthermore, a accumulating body of research indicates that metabolic disorders like obesity and T2DM have been associated to prolong intestinal dysbiosis (Fig. 6 ) [ 129 ]. To elucidate the causal relationship between human gut microbiota and obesity development, researchers conducted fecal microbiota transplantation (FMT) from adult humans to germ-free (GF) murine models. The experimental outcomes demonstrated that recipient mice colonized with microbiota from obese donors exhibited significant increases in adiposity, body mass, and metabolic dysfunction biomarkers [ 130 ].

Circadian rhythmicity represents a crucial modulator of gut microbial homeostasis, with its disruption leading to substantial alterations in intestinal microbial composition [ 131 , 132 ]. Numerous studies have demonstrated that disruptions in the gut microbiota, stemming either from antibiotic-induced depletion or long-term HFD intake, are capable of triggering local circadian rhythm disruptions that contribute to weight gain [ 132 – 135 ].
The Firmicutes/Bacteroidetes ratio (F/B ratio), a key indicator of microbial community structure, has been associated with multiple pathological conditions, including metabolic disorders [ 136 ]. Empirical evidence supports the observation of increased F/B ratios in individuals with obesity [ 137 , 138 ]. Furthermore, epidemiological investigations have identified reduced Bifidobacterium abundance and elevated Staphylococcus aureus colonization in specific populations, particularly among obese pregnant women and overweight pediatric cases [ 139 – 141 ]. In line with Gaber’s data, anti-lipopolysaccharide (anti-LPS), anti-lipoteichoic acid (anti-LTA), and anti-flagellin IgA antibodies are among the immunogenic markers of metabolic endotoxemia linked to visceral AT (VAT) in postmenopausal women. Additionally, there is an increase in pro-inflammatory components of the gut microbiome, such as Proteobacteria (including Escherichia coli , Shigella spp. , and Klebsiella spp. ) and Veillonella atypica [ 142 ]. When given to mice fed a HFD without germs, Enterobacter cloacae strain B29, which has been isolated from the Enterobacteriaceae, has been demonstrated to induce obesity [ 143 ]. Faecalibacterium prausnitzii, a butyrate-producing bacterium renowned for its anti-inflammatory qualities, has been observed to be reduced in individuals with diabetes who are morbidly obese [ 144 ]. In particular, compared to people of normal weight, obese individuals have been observed to have significantly lower levels of the bacterial species Akkermansia, Oscillibacter, and Alistipes [ 145 ].
Furthermore, introducing A. muciniphila into mice improves intestinal barrier function and decreases body weight growth, fat mass formation, and low-grade inflammation [ 146 ]. Likewise, through a molecular pathway, an elevation in the concentration of Short-Chain Fatty Acids (SCFAs) in the plasma of obese individuals can activate carbohydrate responsive element-binding protein (CHREBP) and sterol regulatory element-binding transcription factor- 1 (SREBP1), which in turn can drive lipogenesis, increase triglyceride storage and then obesity [ 147 , 148 ]. Nicholson’s research team has established correlations between intestinal barrier dysfunction, localized inflammatory responses, and microbial community imbalance [ 149 ].
Comorbidities associated with obesity
Furthermore, concentrating only on obesity is insufficient. A chronic and recurring condition, obesity either causes or exacerbates other diseases. Obesity-related comorbidities are associated with higher morbidity, disability, and mortality. Therefore, this review will deeply understand the pathogenesis of related common complications from the perspective of obesity (Fig. 7 ), in order to identify and intervene the complications of obesity early, so as to effectively prevent the occurrence of more serious complications and improve the clinical treatment effect of obesity.

Type 2 diabetes mellitus (T2DM)
According to a World Health Organization (WHO) prediction in 2009, 439 million people worldwide will have diabetes by 2030 [ 150 ]. Upstream diseases of T2DM include pre-obesity/obesity, metabolic dysfunction linked to steatotic liver disease, and dyslipidemia, which typically manifests prior to T2DM [ 151 ]. One of the main causes of IR is obesity [ 152 ]. The abnormal expansion of AT in non-adipose sites (ectopic expansion) and the over-accumulation of specific nutrients and metabolites,
once obesogenic factors amplify genetic susceptibilities, disrupt the metabolic equilibrium through IR, impaired autophagy and the microbiome-gut-brain axis. Consequently, systemic inflammation is triggered, which further exacerbates the dysregulation of immunometabolism. which frequently results in early β-cell malfunction, accelerates the deterioration of β-cell function and gradually raises blood glucose levels, ultimately leading to T2DM [ 153 ].
Similarly, the build-up of senescent cells in the subcutaneous AT and the functional decline of adipocyte precursor cells (APCs) in obese people both contribute to the development of T2DM [ 154 – 156 ]. In accordance with Desiderio et al., the- 1317 CpG at the PANDAR promoter became hypo-methylated in obesity, progressively inducing senescence in APCs in subjects with obesity, which worsens along the progression toward T2DM [ 157 ]. However, in certain people with IR, T2DM can also develop inversely before obesity, leading to raised insulin levels and increased hepatic glucose production-the actual causes of obesity [ 158 ].
Cardiovascular disease (CVD)
Based on the data from the China Health and Retirement Longitudinal Study (CHARLS) that screened 7703 individuals, Jiang et al. suggest that sarcopenic obesity, and potentially other related conditions, are positively correlated with the development of CVD [ 159 ]. Previous evidences suggested that obesity is linked to numerous kinds of CVD, including stroke [ 160 ], venous thromboembolic disease [ 161 ], pulmonary hypertension [ 162 ], atherosclerotic CAD [ 163 ], heart failure (HF) [ 164 ], arrhythmias especially sudden cardiac death (SCD) [ 165 ] and atrial fibrillation (AF) [ 166 ]. The risk of ischemic and hemorrhagic strokes increases by 4% and 6% for every unit increase in BMI, respectively [ 167 ].
Early atherosclerotic alterations are accelerated by obesity via several mechanisms, such as inflammation and IR [ 168 ]. Obesity-induced inflammation raises the risk of LDL oxidation, which in turn promotes atherogenesis [ 169 ]. The development of atherosclerosis is also fundamentally influenced by endothelial dysfunction in obesity, which is principally brought on by diminished NO bioavailability in the context of inflammation and oxidative stress [ 170 ]. BMI in the overweight and obese ranges was linked to an elevated risk of CAD, according to a meta-analysis of nearly 300,000 people with 18,000 CAD occurrences [ 171 ]. For every 10-kg increment in body weight, there is a 12% elevation in the risk of CAD, along with a 3-mmHg increase in systolic blood pressure and a 2.3-mmHg increase in diastolic blood pressure [ 172 ].
In addition, as demonstrated by growing research, non-obstructive coronary artery disease (NOCAD) is also quite common in ischemia or chest pain (CP) and has a significant financial impact [ 173 – 175 ]. In 814 patients with angiographically confirmed NOCAD, the results showed that obesity was independently linked to the occurrence of NOCAD-related CP and that those who were obese had a higher prevalence of NOCAD-related CP (77.6% vs 67%, P < 0.001) and more frequent NOCAD-related CP (angina frequency composite score, 74.9 vs 78.3, P = 0.02) than those who were not obese [ 176 ]. However, when comparing obese patients undergoing bariatric surgery to those who did not get surgical intervention, Karason et al. found that the former had improved CP [ 177 ]. Adipocytes in obese persons specifically prevent endothelial-mediated vasodilatation of the coronary microvasculature, which results in coronary heart disease (CMD) and an oxygen-supply demand mismatch, according to the mechanism of the association between obesity and NOCAD-related CP [ 178 , 179 ].
Simultaneously, obesity heightens the risk of myocardial dysfunction and HF through multiple mechanisms. These include hemodynamic changes, neurohormonal activation, the endocrine and paracrine effects of AT, lipotoxicity, and ectopic fat deposition [ 164 ]. However, Zhou et al. indicated that the protective effects of obesity persists in people with chronic HF (CHF) irrespective of metabolic status [ 180 ], the phenomenon called obesity paradox. The risk of AF was directly related to BMI, increasing by 4.7% (95% CI: 3.4 to 6.1, P < 0.0001) for each kilogram per square meter [ 181 ]. Atrial fibrillation is caused by a combination of left atrial dilatation and dysfunction, elevated epicardial fat, adipocyte infiltration of the myocardium, and fibrosis [ 182 – 184 ].
Non-alcoholic fatty liver disease (NAFLD)
NAFLD is defined as steatosis is not caused by alcohol, drugs, or viral-induced steatosis and with ≥ 5% fat infiltration in imaging or histology [ 185 ]. In line with the growing prevalence of obesity, the prevalence of NAFLD is also rapidly rising [ 186 ]. Obesity can have an impact on whole-body glucose and lipid metabolism, which exacerbates the overproduction or excessive uptake in the liver and lipid droplet buildup in the hepatic parenchyma [ 187 , 188 ]. It is the excessive deposit of fat within the liver cells that result in inflammation, fibrosis and cirrhosis, Momo's studies established that obese subjects significantly tend to have higher liver enzymes like ALT and AST than non-obese adults(serum ALT: 37.14 ± 15.18U/L vs 21.92 ± 5.10 U/L, serum AST: 41.15 ± 15.24U/L vs 25.01 ± 6.65U/L) [ 189 ].
Histologically, metabolic dysfunction-associated steatohepatitis (MASH) is characterized by the co-existence of steatosis, inflammation, and hepatocyte injury (ballooning) [ 185 ]. According to Schmidt-Christensen et al., mice fed obesogenic diets develop MASH, steatosis, and hepatocyte ballooning more quickly [ 190 ]. While the majority of NAFLD patients simply show steatosis and no further development, some will experience negative effects from their liver disease, including cirrhosis, MASH, and hepatocellular carcinoma (HCC) [ 191 ].
Obesity-related respiratory disorders
It is well—established that obesity is associated with the secretion of adipokines and pro-inflammatory factors. These substances have the potential to intensify inflammatory states [ 192 ]. Obesity is closely linked to a variety of respiratory diseases and has an impact on the prognoses of acute respiratory distress syndrome (ARDS) and chronic obstructive pulmonary disease (COPD) [ 193 ]. Obesity has significant effects on respiratory function by reducing compliance of the lungs and chest wal and resting lung volumes, producing airway narrowing, closure and airway dysanapsis, increasing respiratory system resistance, which cause asthma and dyspnea, wheeze and airway hyper-responsiveness [ 194 ].
Sleep-disordered breathing, a highly prevalent condition in obese patients, is characterized by the collapse of the upper airway during sleep. The main pathophysiological mechanisms of obstructive sleep apnea (OSA) include chronic intermittent hypoxia, sleep fragmentation and inflammatory activation [ 195 ]. The results of Sands’s study, obesity is the largest risk factor for OSA at the population level (11–21 times higher than non-obesity) [ 196 ]. Obesity is linked to both increased collapsibility and increased loop gain presumably through increased tongue fat and decreased lung volume, which raises the chance of the OSA [ 197 , 198 ].
Everyone is aware that asthma is a long-term inflammatory condition. According to a cross-sectional study involved 11,137 participants from NHANES 2011–2018, higher VAT is linked to a higher risk of developing asthma, especially in older people and women [ 199 ]. Research findings demonstrated that the VAT mass in asthma patients was 529 g, which was notably higher than the 455 g in the non-asthma group. In three distinct models (the unadjusted model, the model adjusted for demographic factors, and the fully adjusted model), for every 200-g increase in VAT, the risk of asthma increased by 10.4%, 20.8%, and 20.3% respectively.
A life-course Mendelian randomization study was carried out with the aim of exploring the causal impacts of early life adiposity on the COVID- 19 susceptibility and severity. They found that childhood BMI and obesity were positively correlated with COVID- 19 risk and severity in adulthood, and revealed strong evidence of a genetically predicted effect of childhood obesity on COVID- 19 hospitalization [ 200 ].
Obesity-related nephropathy (ORN)
Epidemiological investigations by Wang and colleagues demonstrate that obesity-associated renal pathologies account for approximately one-quarter to one-third (24–33%) of chronic kidney disease cases documented in American clinical populations [ 201 ]. Substantiating this global health concern, a comprehensive retrospective cohort analysis conducted by Hu’s research team at Zhengzhou University examined 34,630 primary renal biopsy specimens, revealing a significant temporal progression in obesity-related glomerulopathy prevalence from 0.86% (2009) to 1.65% (2018) [ 202 ]. Aforementioned statistical trends indicate a progressive annual elevation in ORN diagnosis rates across diverse demographics. This correlation receives further validation from population-scale research involving 320,000 subjects, which established a positive association between incremental BMI elevations and corresponding escalations in end-stage renal disease (ESRD) risk profiles [ 203 ].
The pathophysiological mechanisms underlying ORN involve dual injury modalities affecting renal microarchitecture. Mechanical stressors manifest through altered glomerular hemodynamics, visceral adipose-induced renal compression, and podocyte deformation from sustained mechanical tension. Concurrently, metabolic disturbances include RAAS overactivation, bile acid homeostasis disruption, insulin resistance, lipid-induced cellular toxicity, and chronic inflammatory cascades [ 204 ]. To be specific, by means of the vascular endothelial growth factor-B (VEGF-B) signaling pathway, mitochondrial damage and the ensuing increase in IR, ROS production, and ER stress, a HFD has been shown to encourage lipid accumulation in mice, ultimately leading to renal impairment [ 205 , 206 ]. Additionally, a two-sample Mendelian randomization research conducted in European populations confirmed that renal function impairment, which is fueled by adverse obesity, is linked to genetically high BMI [ 207 ].
Proteinuria, glomerulomegaly, increasing glomerulosclerosis, and decreased kidney function are clinical characteristics of ORN [ 208 ]. However, due to the lack of specificity in clinical parameters and histopathological features, ORN is easily confused with other causes of chronic kidney disease. Emerging diagnostic approaches emphasize the detection of tubular injury biomarkers, with urinary kidney injury molecule- 1 (KIM- 1), cystatin C, N-acetyl-beta-D-glucosaminidase (NAG) enzyme activity, and neutrophil gelatinase-associated lipocalin (NGAL) protein concentrations showing particular promise for early ORN identification in clinical urinalysis [ 209 , 210 ]. Meanwhile, multiple studies have established that obesity and hyperuricemic nephropathy (HN) have connections [ 211 , 212 ].
Musculoskeletal impairments
The preservation of bone tissue and the homeostasis of the minerals calcium and phosphorus depend on vitamin D (VD). A cross-sectional study aimed to evaluate the VD levels among 1,210 obese individuals in Southern Morocco, their results (adequate: 5.3%, insufficiency: 18%, moderate-deficiency: 52.5%, severe-deficiency: 24.2%) support the hypothesis that obesity is associated with low VD levels [ 213 ]. Moreover, volumetric dilution effect of VD is the most probable mechanism for the reduction of serum VD concentration in obese patients [ 214 ]. In particular, 25-(OH)D is mostly found in the liver, muscle, fat, and serum, all of which are elevated in obesity [ 215 ]. Wortsman et al. suggest that VD insufficiency associated with obesity may result from reduced bioavailability of VD, as it tends to accumulate in AT, thereby limiting its availability from both cutaneous synthesis and dietary intake [ 216 ].
Consequently, obese individuals may need higher initial doses of VD supplementation to achieve serum 25-(OH)D levels comparable to those of individuals with normal body weight. Devlin’s findings further support this by demonstrating that obesity negatively impacts bone health, contributing to conditions such as osteopenia and osteoporosis [ 217 ]. Numerous variables, including hyperinflammation, genetics, microbial dysbiosis, hypermetabolism, and local alterations in the bone marrow environment, are involved in the mechanisms of obesity-related bone dysregulation [ 218 ]. Additionally, a longitudinal study conducted over four years in a middle-aged and elderly Chinese population revealed that the co-occurrence of dynapenia and abdominal obesity significantly elevated the risk of developing arthritis in women (RR: 1.39, 95% CI: 1.01–1.93) [ 219 ].
Malignancies
All obesity-related malignancies are estimated to have a general population-attributable percentage of 11.9% in men and 13.1% in women [ 220 ]. Obesity has been identified as a significant risk factor for malignancies in at least 13 anatomical regions, including the endometrium, esophagus, kidneys, pancreas, liver, gastric cardia, meninges, multiple myeloma, colorectum, breast, ovaries, gallbladder, and thyroid [ 221 ].
Both clinically severe estrogen-independent type II and estrogen-dependent type I endometrial carcinoma (EC) are independently associated with obesity [ 222 ]. Risks for EC are increased in obese women and high visceral abdominal fat volume (VAV)% independently predicts reduced EC survival [ 223 ]. Notably, Schlottmann et al. highlight a concurrent rise in the prevalence of overweight and obesity with the incidence rates of esophageal adenocarcinoma (EAC) [ 224 ]. Furthermore, a comprehensive meta-analysis encompassing 24 studies and over 8 million participants revealed that BMI is positively correlated with an elevated risk of renal cell carcinoma (RCC) in both males (RR 1.05 for every 1 kg/m 2 increase) and women (RR 1.06 for every 1 kg/m 2 increase) [ 225 ].
Obesity also significantly increases the risk of pancreatic cancer, obesity-induced pancreatic inflammation and desmoplasia, which contributed to pancreatic ductal adenocarcinoma (PDAC) progression and chemotherapy resistance [ 226 ]. HCC has been increasingly associated with metabolic diseases such as the metabolic syndrome, which often co-occur with NAFLD or NASH [ 227 ]. Epidemiological studies consistently indicate that elevated BMI and obesity are significant risk factors for the development of cardia cancer [ 228 ]. A US population-based study, combined with a multi-institutional cohort analysis, revealed that obese males are more prone to meningiomas at the skull base compared to other locations. Additionally, patients undergoing meningioma resection are more likely to be obese than those with other intracranial tumors [ 229 ].
Obesity has been positively linked to both the mortality and incidence of multiple myeloma (MM) in both prospective cohort and case–control studies [ 230 – 232 ]. According to the findings of a Mendelian randomization research, men are more likely to develop colorectal cancer (CRC) if their BMI is more extensive, whereas women are more likely to develop CRC if their waist-to-hip ratio (WHR) is higher [ 233 ]. In addition, patients who are overweight or obese have a 1.2–1.4 times higher risk of developing postmenopausal breast cancer [ 234 ]. Multiple research studies confirm that obesity is closely associated with the risk of developing papillary thyroid carcinoma (PTC) [ 235 , 236 ]. Li et al. propose that obesity may facilitate the progression of PTC by suppressing adiponectin expression [ 237 ]. Meanwhile, obesity also can increase the risk of invasion (OR = 1.395) and lymph node metastasis (OR = 1.387) [ 238 ]. Similarly, obesity increases the risk of benign tumors. A case–control study investigating the relationship between visceral fat and uterine fibroids found that higher levels of body fat, particularly abdominal visceral fat, significantly raise the risk of developing uterine fibroids [ 239 ].
Psychological comorbidities
Obesity and depression frequently co-occur and exacerbate each other [ 240 , 241 ]. A bidirectional relationship has been established between obesity and depression, wherein obesity or being overweight increases the likelihood of depressive symptoms, and conversely, depression elevates the risk of obesity or overweight [ 242 – 244 ]. The physical condition and weight issues associated with obesity ultimately increase the likelihood of developing depression by decreasing self-esteem, social isolation and dissatisfaction with body image. Meanwhile, the depression often include emotional instability, poor in appetite and reduced energy expenditure, which can lead to disrupted eating behaviors, decreased physical activity and ultimately result in weight gain and obesity. But the relationship between obesity and depression exist individual differences, not all individuals with obesity will experience symptoms of depression, and not all individuals with depression will develop obesity [ 245 ].
Individuals with obesity often experience disordered eating patterns, with binge-eating disorder being the most common among this population [ 246 ]. Compared with regular-weight patients and those without an Eating Disorders (EDs), obese patients seem to express peculiarities regarding the expression of some emotional processes, including impulsivity, aggression and anger [ 247 ]. Metabolic and vascular dysfunction of obesity, including inflammation, IR and leptin resistance, have been considered as the key risks to depression and anxiety development [ 248 ]. According to Kalarchian et al., social anxiety disorder is the most prevalent anxiety disorder among candidates for bariatric surgery, affecting 9% of patients [ 249 ].
Other comorbidities
A population-based cohort study aimed to quantify the contribution of overweight and obesity to various adverse pregnancy outcomes in Swedish females. As estimated by Population attributable fractions, a significant percentage of unfavorable pregnancy outcomes were caused by overweight and obesity: gestational diabetes (52.1%), large-for-gestational age (36.9%), pre-eclampsia (26.5%), low Apgar score (14.7%), infant mortality (12.7%), severe maternal near-miss event (8.5%) and preterm birth (5.0%) in the total study population [ 250 ]. Furthermore, numerous researches have consistently demonstrated that obesity is associated with higher rates of miscarriage, unfavorable perinatal outcomes in assisted reproductive technology (ART), and reduced rates of implantation, pregnancy, and live delivery [ 251 , 252 ].
In women of reproductive age, obesity also raises the risk of diseases including polycystic ovary syndrome (PCOS), irregular menstruation, decreased ovarian reserve, ovulatory dysfunction, subfecundity, and increased incidence of preeclampsia, stillbirth, and miscarriage [ 253 , 254 ]. A UK population-based cohort supports that women who gain/change weight between pregnancies may increase the incidence of overweight/obesity (≥ 85 th centile) and obesity (≥ 95 th centile) in second children [ 255 ].
Li et al. unveiled that obesity and the related metabolic changes were important influencing factors for Temporomandibular joint osteoarthritis (TMJ OA) [ 256 ]. Simultaneously, multiple studies have confirmed the association between obesity and acute pancreatitis (AP). There is a significant association between severe AP and VAT in a single-centre prospective study (VAT area: severe AP: 141.01 ± 33.75 cm 2 vs moderate AP: 115.11 ± 29.85 cm 2 ), incorporating VAT into one of the prognostic indices for AP needs to be further explored [ 257 ].
Interventions of obesity
Current evidence-based guidelines recommend lifestyle interventions, pharmacotherapy, and bariatric surgery (e.g., sleeve gastrectomy, gastric bypass) as primary obesity treatments. However, these approaches face significant limitations, including weight regain and safety concerns even with gold-standard therapies [ 6 ]. Persistent adverse effects—such as cardiovascular risks, gastrointestinal complications, and metabolic disturbances—associated with existing anti-obesity drugs have heightened the demand for safer, sustainable alternatives. Consequently, natural products and plant-derived bioactive compounds are increasingly investigated for their therapeutic potential. The mechanisms and efficacy of major obesity interventions are systematically categorized in Fig. 8 and Table 1 .

Table 1
Current and Emerging Interventions for Obesity Management
This table summarizes the clinical efficacy, advantages, and limitations of established therapeutic approaches (lifestyle modification, pharmacotherapy, bariatric surgery) and investigational therapies discussed in this review ADF alternate-day fasting, AE aerobic exercise, HIIT high-intensity interval training, FDA Food and Drug Administration, ER extended release, SR sustained release, NAFLD non-alcoholic fatty liver disease, SG Sleeve gastrectomy, RYGB Roux-en-Y gastric bypass, AGB adjustable gastric banding, BPD-DS biliopancreatic diversion with duodenal switch, OAGB One anastomosis gastric bypass, SADI-S single-anastomosis duodenal ileostomy with sleeve gastrectomy, VD vitamin D, DVT deep vein thrombosis, 11β-HSD1 11β-hydroxysteroid dehydrogenase type 1, FO fish oil, PCP Penthorum chinense Pursh, MD- 2 Myeloid differentiation factor 2, DSG Diosgenin, PRDM16 PR domain-containing 16, PL pancreatic lipases, PG polyglucosamine polymers, AAV adeno-associated virus, Lep leptin, LepR leptin receptor, MC4R melanocortin 4 receptor, POMC pro-opiomelanocortin, ADMSCs adipose-derived mesenchymal stem cells, FMTs fecal microbiota transplants
| Treatment Method | Specific Measures | Clinical Efficacy | Advantages | Disadvantages | Ref |
| a Lifestyle modifications | |||||
| Dietary Therapy | ADF; Ramadan diet; Anti-inflammatory diet | A 24-h ADF regimen prevented HFD-induced obesity and precocious puberty; Participants demonstrated an average weight reduction of 2.3 ± 0.99 kg during the 29-day Ramadan month; An 8-week anti-inflammatory diet intervention resulted in significant weight loss (5–8.6 kg) compared to initial weight | Non-invasive, improves metabolic health, low cost | High dropout rates, weight regain common,35–50% non-responders | [ 260 – 262 ] |
| Exercise Therapy | Redistributing screen time; AE, HIIT | Substitution of 1-h screen time with reading time was inversely associated with obesity risk; Overweight female participants exhibited BMI reductions of 5.81% and 5.06% following AE and HIIT, respectively | [ 264 , 266 ] | ||
| Cognitive Therapy | Nutritious balanced diet | Body weight reduction of 5.7 ± 5.3 kg at the one-year follow-up | [ 269 ] | ||
| b Pharmacological Treatments | |||||
| FDA-Approved | Phentermine | Weight loss relative to placebo ranging from approximately 6% | Rapid short-term appetite suppression, effective for initial weight loss | Dry mouth, constipation, insomnia, arrhythmias, increased blood pressure | [ 487 ] |
| Orlistat | Weight loss relative to placebo ranging from approximately 3% | Non-central acting, reduces dietary fat absorption | Oily stools/spotting, flatus, fecal urgency, tubulointerstitial nephritis | [ 488 ] | |
| Phentermine/topiramate ER | Weight loss relative to placebo ranging from approximately 8.6–9.3% | Dual-action: appetite suppression and satiety enhancement, greater weight loss | Oral clefts, paresthesia, dizziness, insomnia, dysguesia,constipation, kidney injury, dry mouth | [ 489 ] | |
| Lorcaserin | weight loss relative to placebo ranging from approximately 3-3.6% | a selective serotonin 2C (5-HT2C) receptor agonist | Headache, dizziness, fatigue, nausea, dry mouth, constipation, cough | [ 490 ] | |
| Naltrexone/bupropion SR | Weight loss relative to placebo ranging from approximately 3.3–4.8% | Dual-action, reduces appetite and improves mood | Nausea, headache, constipation, vomiting, dry mouth, kidney injury,dizziness | [ 491 ] | |
| Liraglutide | Weight loss relative to placebo ranging from approximately 4% to 6.2% with diabetes compared with 6.1% to 17.4% without diabetes | Improves insulin sensitivity, lipid profile, cardiometabolic and renal benefits, sustained weight loss, pediatric use | High costs, nausea, diarrhea, pancreatic safety, thyroid cancer, gallbladder events, injection-site, allergic reactions | [ 287 ] | |
| Natural Compounds | Curcumin | A greater BMI reduction compared to placebo (25.94 kg/m2 vs 29.34 kg/m2) in obese patients with T2DM after 12-month RCT | Anti-inflammatory and anti-oxidant effects, metabolic benefits, safety | Low oral bioavailability, limited long-term clinical validation, transient gastrointestinal side effects | [ 317 ] |
| Genistein | Genistein attenuated body weight gain in gonadectomized mice with diet-induced obesity | Mitigates obesity-related metabolic dysfunctions, particularly NAFLD and glucose metabolism | Insufficient clinical trial data, potential estrogenic effects, unclear optimal dosing for metabolic benefits | [ 321 ] | |
| Berberine | BBR significantly reduced multiple adiposity parameters including body weight, BMI, body fat percentage, visceral fat percentage, and diastolic blood pressure | Multi-mechanistic anti-obesity effects, cardiometabolic benefits, effective and minimal side effects | Nausea, diarrhea, constipation, low oral bioavailability | [ 327 , 333 , 335 , 337 , 339 , 339 , 349 ] | |
| c Bariatric Surgery | |||||
| SG, RYGB, AGB, BPD-DS, SADI-S, OAGB | Comparative analysis of bariatric procedures revealed distinct total weight loss (TWL) percentages: AGB (36.29%), RYGB (31.59%), and SG (21.07%) during the first postoperative year | Long-term weight reduction, resolution of comorbidities, prolonged survival | Perceived invasiveness, high cost, nutritional deficiencies(e.g., VD), surgical risks(e.g., weight regain, DVT, pulmonary embolism, ulcers, gastroesophageal reflux disease dumping syndrome, apnoea) | [ 406 – 408 , 410 ] | |
| d Emerging Therapies | |||||
| Medications and Targets | IL- 2; 11β-HSD1 inhibitors; Marine FO; PCP; MD- 2 inhibitors; DSG; PRDM16; Vanadium compounds; PL inhibitors | Low-dose IL- 2 administration exhibited metabolic regulatory potential; 11β-HSD1 inhibitor ameliorated HFD-induced metabolic dysregulation; Marine FO exerted anti-obesity effects through weight reduction, BMI improvement, and modulation of serum lipids, leptin and TNF-α; PCP supplementation alleviated hyperglycemia and promoted weight loss; MD- 2 inhibitors attenuated obesity-related cognitive impairment; DSG suppressed ectopic lipid accumulation; PRDM16 modulated obesity and diabetes pathogenesis; Vanadium compounds notably attenuating adipose tissue accumulation and inflammation; PL inhibitors reduced adiposity in HFD-fed mice via enzymatic competition | Novel mechanisms, non-surgical options | Limited clinical data, engraftment instability, regulatory hurdles, immature technology, high cost | [ 438 , 443 , 449 , 456 , 458 , 460 , 466 – 472 ] |
| Device-based Therapies | Mobile smart devices-based health interventions, medical device based on PG, localized delivery system | Device-based therapies significantly improved obesity-related parameters including body weight, IR, cholesterol levels, and inflammatory markers | [ 474 – 476 ] | ||
| Genetic Therapies | AAV, miRNAs, Lep, MC4R and POMC gene, based on ADMSCs, FMTs | Genetic therapies ameliorated obesity-associated comorbidities: metabolic dysfunction, cellular senescence, osteoarthritis progression, oxidative DNA damage, and epigenetic hypermethylation | [ 477 – 479 , 481 , 483 , 484 ] |
Lifestyle modifications
As the initial treatment for weight management and cardiovascular risk mitigation in obesity, comprehensive lifestyle modification (encompassing dietary regulation, physical activity optimization, and behavioral adaptation) forms the cornerstone of anti-obesity therapeutic intervention [ 258 ].
Contemporary research emphasizes the critical importance of nutritional modifications in modulating lipid parameters and pro-inflammatory mediators, given the pathophysiological relation between adiposity-related chronic low-grade inflammation and elevated cardiovascular risk [ 259 ]. According to Ullah’s research, sex hormone and growth hormone (GH) levels were lowered by alternate-day fasting (ADF), which resulted in slower growth and postponed puberty. Although precocious puberty and obesity brought on by an HFD were avoided by ADF, more clinical research is required to verify its safety [ 260 ]. AS one of the intermittent fasting practices, Ramadan fasting (fasted for an average of 14–15 h daily from dawn to sunset during the 29-day Ramadan month) induced weight loss (average weight loss of 2.3 ± 0.99 kg), modified gut microbiota (F/B ratio, Firmicutes phylum et al. significant decreases, Bacteroidetes and Proteobacteria phyla et al. significant increases), and improved blood lipid profile [ 261 ]. Recent investigations demonstrate that adopting anti-inflammatory dietary regimens, particularly those integrating Mediterranean nutritional principles with national dietary guidelines (TÜBER- 2016), effectively reduces both BMI and systemic inflammation through iso-caloric meal plans achieving negative dietary inflammatory indices (− 3.38 in females vs. − 3.53 in males) [ 262 ].
Certainly, most obese patients are difficult to control their weight through dietary intervention alone and usually need to be supplemented with exercise therapy. Adolescents'unhealthy food behaviors and overweight/obesity were strongly correlated with snacking while watching TV, according to a longitudinal study [ 263 ]. A longitudinal investigation spanning three years revealed that extended screen exposure duration exhibited strong positive correlation with adiposity indices (p < 0.01). Notably, strategic reallocation of screen time to purposeful physical/social activities (including structured exercise, interpersonal interactions, cognitive tasks, and restorative sleep) significantly attenuates obesity progression [ 264 ]. Porri’s assessment indicates that poor sleep hygiene can considerably contribute to weight growth and the worsening of metabolic diseases connected to pediatric obesity, but more thorough research is required [ 265 ]. Mechanistic studies by exercise physiologists further elucidate that structured exercise regimens, whether aerobic exercise (AE) or high-intensity interval training (HIIT), enhance circulating pentraxin- 3 (PTX3) concentrations (a cardioprotective inflammatory modulator) while favorably modifying lipoprotein profiles. Clinical trials document 5.81% and 5.06% BMI reductions respectively in overweight females following supervised training protocols [ 266 ].
While many individuals consider dieting to be the effective norm for weight loss, the reality is far more complex. Frequent intermittent dieting appears to be effective initially, but it can cause weight regain in people whether they are overweight/obese or not [ 267 , 268 ]. Therefore, in addition to dietary intervention and exercise intervention, behavioral therapy for obese patients should also incorporate an essential component of cognitive therapy (Fig. 8 ). Significantly, it is necessary to alter the incorrect perception of diet control. Dietary intervention for obese patients does not merely mean dieting and abstaining from carbohydrate intake; instead, it involves adopting a healthy and nutritious balanced diet achieved through a reasonable nutritional ratio. Innovative digital health solutions hold particular promise in resource-limited settings. The EMPOWER initiative exemplifies this through its tripartite intervention model combining virtual nutritional education, personalized lifestyle coaching, and cloud-based progress tracking. Preliminary results show that, in the rural participant cohorts, there is a body weight reduction of 6.2% ± 6.0% (5.7 ± 5.3 kg) at the one-year follow-up [ 269 ].
In summary, lifestyle modifications may be a practical strategy to prevent obesity. However, lifestyle interventions are limited by poor compliance and efficacy. Nevertheless, clinical observations reveal notable interindividual variability, with 35–50% of patients failing to achieve clinically meaningful weight loss (≥ 5% baseline reduction) despite intensive behavioral protocols spanning 4–6 months [ 270 , 271 ]. The fact that most people who do lose weight eventually gain it back is even more concerning [ 272 ]. In a similar vein, clinical and epidemiological investigations have revealed that minority of obese individuals are unwilling or unable to maintain long-term lifestyle changes [ 273 ].
All in all, lifestyle intervention requires early and comprehensive strategies, for example, the ‘magic polypill’ covering ‘Environment-Sleep-Emotion-Exercise-Diet [E(e)SEEDi]’, and long-term persistence to achieve ideal efficacy [ 274 – 276 ].
Pharmacological treatments
Current anti-obesity medications
Current clinical guidelines specify pharmacological eligibility criteria for anti-obesity therapeutics, targeting individuals presenting with BMI values ≥ 27 kg/m 2 with concurrent metabolic comorbidities (including T2DM, cardiovascular disorders, dyslipidemia, or SA) or those with BMI ≥ 30 kg/m 2 irrespective of comorbidities. A growing number of medications have been authorized in recent years to treat obesity. The Food and Drug Administration (FDA)-endorsed pharmacopeia for chronic weight management currently comprises six principal agents: phentermine, orlistat, phentermine/topiramate extended release (ER) (combined GABAergic/glutamatergic agent), lorcaserin, naltrexone SR/bupropion sustained release (SR) (opioid-dopaminergic combination), and liraglutide [ 277 ].
Phentermine worked by either preventing norepinephrine from being reabsorbed or by promoting its release. The sole FDA-licensed anti-obesity drug that does not exert action in the brain is orlistat, a gastric lipase inhibitor that was approved in 1999 [ 278 ]. Topiramate is a gamma-aminobutyric acid agonist. Lorcaserin is a selective agonist of serotonin 2 C (5-HT2 C) receptor. Nltrexone is a non-selective antagonist of opioid receptor. Bupropion inhibits the transporters of norepinephrine and dopamine. Significant weight loss and cardiometabolic advantages are provided by new weight loss treatments, such as GLP- 1R agonists (GLP- 1 RAs), dual glucose-dependent insulinotropic polypeptide (GIP), and triple GIP, GLP- 1, and glucagon receptor agonists [ 279 ].
Mechanistically, GLP- 1 RAs exert pleiotropic effects through pancreatic β-cell preservation (enhancing proliferation while suppressing apoptosis), glucose-dependent insulinotropic/glucagonostatic regulation, and gastrointestinal motility modulation-collectively contributing to improved glycemic control and attenuated postprandial lipidemia [ 280 – 282 ]. Through GLP- 1Rs in the hypothalamus, GLP- 1 also decreases appetite, food intake, and promotes satiety [ 283 ]. Additionally, GLP- 1R signaling inhibits hepatocyte de novo lipogenesis and β-oxidation, reverses cholesterol transport, lowers the liver's hepatic TG content (HTGC) and VLDL-TG production rate, and modifies important liver enzymes involved in lipid metabolism [ 284 ]. GLP- 1 RAs may preserve free leptin levels by targeting areas in the hindbrain, simultaneously delay in gastric emptying and induce satiety [ 285 ].
GLP- 1 RAs include liraglutide (brand name,Victoza, Novo Nordisk, Copenhagen, Denmark), semaglutide (brand name, Wegovy, Novo Nordisk, Copenhagen, Denmark) and tirzepatide (brand name, Zepbound, Eli Lilly, Indianapolis, IN, USA), which are approved and marketed as weight-loss drugs. Semaglutide and liraglutide have now been approved in the US and Europe to treat obesity in children as young as 12 years of age [ 286 ]. The first GLP- 1 RAs to receive a license for long-term weight control was ligarglutide. In 2021, semaglutide—the next generation of GLP- 1 RAs—was authorized at weekly doses of up to 2.4 mg for the treatment of chronic obesity-related weight loss [ 278 ]. Systematic analysis by Jensterle et al. demonstrated mean differential weight reduction of 4.0–6.2% (vs placebo) when adjunctive to lifestyle interventions in diabetic patients, contrasting with 6.1–17.4% efficacy in non-diabetic populations through GLP- 1 RAs [ 287 ]. According to Ansari et al., GLP- 1 RAs have been further shown to help lower cardiovascular disease risk factors like blood pressure and lipid profile in addition to aiding in weight loss [ 288 ]. GLP- 1 RAs shown long-term beneficial effects on cardiovascular health, renal outcomes and adverse events in obese people in Huang’s extensive observational trial, which is consistent with the above conclusions [ 289 ].
GLP- 1 RAs can be used as a single treatment, in conjunction with other hormone-based drugs, or engineered as a dual or triple receptor agonist. Finding GLP- 1 RAs that additionally target either the glucagon receptor, the GIP receptor, or both has advanced the field [ 290 ]. In large quantities recent therapeutic advancements reveal superior efficacy profiles for novel agents: Tirzepatide (dual GIP/GLP- 1 receptor co-agonist) achieved 20.9% weight reduction at 15 mg dosing over 72 weeks [ 291 ], while retatrutide (triple GIP/GLP- 1/glucagon receptor agonist) demonstrated unprecedented 24.2% weight loss at 12 mg over 48 weeks in phase III trials [ 292 ].
Sodium-glucose cotransporter- 2 inhibitor (SGLT2i) and dipeptidyl peptidase- 4 inhibitors (DPP- 4is) have been demonstrated to improve blood pressure, lipid profiles, body weight, and endothelial function [ 293 , 294 ]. Emerging evidence elucidates adiposity regulation through DPP- 4is, modulating WAT mass and thermogenic pathways via PPAR-α upregulation/UCP3 induction in skeletal muscle, coupled with BAT activation through GLP- 1/MC- 4 signaling cross-talk [ 295 ]. DPP- 4i further enhances β3-adrenergic signaling via ERK pathway suppression, potentiating UCP1-mediated thermogenesis in BAT and inguinal WAT (iWAT) depots to avoid obesity [ 296 ].
Concurrently, SGLT2i exhibit pleiotropic anti-inflammatory properties, suppressing NLRP3 inflammasome activity and pro-inflammatory cytokines (TNF-α, IL- 1β, IL- 6, IL- 18) in preclinical models [ 297 , 298 ]. Clinically, SGLT2i demonstrates nephroprotective effects in obese T2DM patients, decelerating chronic kidney disease (CKD) progression irrespective of glycemic parameters [ 299 , 300 ]. The KDIGO 2022 guidelines prioritize SGLT2i as first-line therapy for T2DM with comorbid CKD/obesity-related nephropathy, emphasizing renoprotection over conventional glycemic metrics [ 301 ]. The combination use of empagliflozin (EMPA) and topiramate resulted in a significant reduction in body weight and was generally well-tolerated in overweight/obese non-diabetic adults on a calorie-restricted diet [ 302 ]. In light of the points put out, more research is necessary to assess the possible benefits of using this combination for long-term maintained weight management.
However, most currently approved anti-obesity drugs are associated with significant adverse effects. Phentermine and amphetamines, for instance, increase cardiovascular risks, including hypertension and arrhythmias [ 303 ]. Orlistat, a lipase inhibitor, commonly induces gastrointestinal complications such as steatorrhea and constipation due to impaired fat absorption, with rare cases linked to fatal outcomes [ 303 ]. Chronic use of topiramate or phentermine correlates with nephrotoxicity [ 304 , 305 ], while bupropion and naltrexone have been implicated in renal dysfunction and acute kidney injury, respectively [ 306 , 307 ]. Orlistat may also provoke tubulointerstitial nephritis [ 308 ].
Despite their efficacy, glucagon-like peptide- 1 receptor agonists (GLP- 1 RAs) face limitations due to transient therapeutic effects, high discontinuation rates (driven by nausea and diarrhea), and safety concerns, including pancreatitis, thyroid cancer, gallbladder disorders, and injection-site reactions [ 309 – 313 ]. Furthermore, subcutaneous administration of GLP- 1 RAs necessitates blood–brain barrier (BBB) penetration, which compromises their utility in addressing cognitive aspects of addiction and obesity. Although intranasal delivery has been proposed to enhance brain targeting [ 314 ], practical challenges-such as nasal physiological barriers and drug solubility-hinder its clinical translation.
These limitations, coupled with the prohibitive cost and short-term prescribing patterns of newer therapeutics, have intensified interest in alternative strategies, particularly plant-derived compounds and dietary supplements, as adjunctive or primary interventions for obesity management.
Nature compounds with potential anti-obesity activity
Curcumin Curcumin, a bioactive polyphenol isolated from the rhizome of Curcuma longa L., demonstrates multifaceted therapeutic properties encompassing anti-inflammatory, anti-proliferative, and redox-modulating activities [ 152 , 315 , 316 ]. Curcumin treatment (1500 mg/day) significantly improved overall β-cell function and reduced both IR and body weight when compared to a placebo (HOMA-β: 136.20 vs 105.19, HOMA-IR: 4.86 vs 6.04, adiponectin: 14.51 vs 10.36, leptin: 9.42 vs 20.66, BMI: 25.94 vs 29.34), with minimal adverse effects, according to a 12-month randomized controlled trial in obese patients with T2DM [ 317 ]. For obese patients with T2DM, curcumin therapy may be helpful.
Genistein Legumes like soybeans and soy-rich products contain significant levels of genistein, an isoflavonoid functioning as a selective estrogen receptor modulator (SERM) with pleiotropic metabolic effects [ 318 – 320 ]. Intriguingly, preclinical investigations utilizing gonadectomized murine models subjected to high-fat high-sucrose (HFHS) dietary challenge demonstrated that genistein supplementation effectively ameliorates obesity-associated metabolic perturbations, particularly hepatic steatosis progression and glucose homeostasis dysregulation [ 321 ]. While clinical validation in hormone-deficient obese populations remains pending, this phytoestrogen exhibits significant potential as a nutraceutical candidate for mitigating metabolic syndrome components and adiposity-related comorbidities.
Berberine (BBR) Coptidis Rhizoma , the rhizome of Coptis chinensis , is referred to as Huang Lian in traditional Chinese medicine. It is abundant in bioactive alkaloids, with BBR as its main component. BBR exhibits broad pharmacological effects, including anti-hypertensive, anti-diabetic, anti-adipogenic, anti-inflammatory, antioxidant, and lipid-lowering properties [ 322 , 323 ]. BBR also exists in other medicinal plants, such as Berberis aristata , and B. vulgaris [ 324 ], and it is metabolized into berberrubine (M1), thalifendine (M2), demethyleneberberine (M3), and jatrorrhizine (M4) [ 325 ].
Recent researches and preclinical investigations have increasingly emphasized the potential anti-obesity properties of BBR. The mainly potential mechanisms of BBR against obesity are summarized as follows (Fig. 9 ):

Suppression of Adipocyte Differentiation: a Inhibits adipogenesis: In 3 T3-L1 adipocytes, BBR down-regulates CCAAT/enhancer-binding protein-α (C/EBP-α) and peroxisome proliferator-activated receptor γ (PPAR-γ), while up-regulating PPAR-δ [ 320 , 325 – 327 ]. b Attenuates cAMP/PKA-mediated signaling: BBR reduces cAMP-response element-binding protein (CREB) and Galectin- 3 signaling, which is a key pathway for its anti-obesity effects [ 328 – 334 ].
Adipose Tissue Browning and Metabolic Regulation: a Activates BAT thermogenesis: BAT upregulates PGC- 1α, UCP1, PPAR-α, and mitochondrial biogenesis markers (ATPsyn, COXIV, Cyto C) [ 335 – 337 ]. b Enhances brown adipogenesis: BBR increases PRDM16-driven brown adipogenesis through AMPK-α-ketoglutarate-dependent epigenetic modulation [ 338 ].
Regulation of lipid metabolism: a Regulation of lipid metabolism: BBR regulates the expression of adipokines [ 339 , 340 ]. It up-regulates LDLR expression by activating AMPK-dependent Raf- 1 and ERK signaling pathway [ 341 – 343 ], up-regulates SREBP2 and CYP7 A1 expression [ 344 – 346 ], and promotes lacteal junction zippering by suppressing the Ras homolog gene family member A (RhoA)/Rho-associated kinase 1 (ROCK1) signaling pathway [ 347 – 349 ]. b Regulation of plaque metabolism: BBR impedes foam cell formation by activating the AMPK-SIRT1-PPAR-γ pathway which inhibiting the expression of lectin-like oxidized LDL receptor 1 (LOX- 1) [ 350 ]. It also stabilizes the plaque by acting as an ACSL4 inhibitor through activitng nuclear factor erythroid 2-related factor 2(NRF2)/recombinant solute carrier family 7 member 11 (SLC7 A11)/glutathione peroxidase 4 (GPX4) pathway [ 351 , 352 ].
Gut Microbiota (GM) Regulation: a Alteration of microbial composition: BBR restores the Bacteroidetes/Firmicutes balance, enriches SCFA-producing bacteria, and suppresses bacterial proliferation [ 351 , 353 – 360 ]. b Enhancement of intestinal barrier integrity: BBR modulates the abundance of Akkermansia muciniphila and the IL- 25/mucin- 2 dynamics [ 361 , 362 ].
Anti-Inflammatory Effects in AT: a Polarizes AT macrophages (ATMs): BBR polarizes ATMs from the M1 to the M2 phenotype, reducing NF-κB/NLRP3 inflammasome activity [ 363 – 370 ]. b Suppresses inflammatory pathways: BBR suppresses (NF-κB, PI3 K/AKT/mTOR) and cytokines (TLR4, TNF-α, IL- 6) [ 371 – 376 ]. Similarly, Poulios et al. comprehensively reviewed the mechanisms underlying the anti-obesity effects of key phytochemicals, with BBR being a prominent example [ 377 ].
BBR exhibits a favorable safety profile. Although it may cause transient gastrointestinal side effects such as nausea and diarrhea, these often subside with continued use [ 378 ]. When co-administered with quercetin, it can alleviate constipation [ 379 ]. However, due to its low oral bioavailability [ 380 – 382 ], some innovative strategies are explored:
Synergistic herbal formulations, such as combined alkaloid extracts, increase bioavailability [ 383 – 387 ].
Co-crystallization methods, for example, forming BBR-ibuprofen salts, offer a potential solution [ 360 , 388 – 391 ].
Targeted delivery systems such as nanoparticles and liposomes can enhance cellular uptake and bioavailability [ 153 , 278 , 392 – 397 ].
BBR represents a multifaceted anti-obesity agent with pleiotropic mechanisms, though clinical validation through rigorous RCTs is imperative. Optimizing its pharmacokinetic limitations via advanced formulation technologies could unlock its full therapeutic potential.
Bariatric surgery
Patients with severe obesity (BMI ≥ 37.5 kg/m 2 ) or those who have not responded to medication and lifestyle changes are usually the ones who undergo bariatric surgery [ 398 ]. Bariatric surgery, which modifies gut anatomy, significantly impacts food intake and nutrient absorption. This intervention not only facilitates sustained weight reduction but also improves metabolic disorders, obesity-related comorbidities (particularly T2DM), and metabolic syndrome. Additionally, it enhances quality of life and extends survival duration [ 399 – 402 ]. Sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), adjustable gastric banding (AGB), and biliopancreatic diversion with duodenal switch (BPD-DS) are the four most common bariatric surgeries carried out globally [ 400 , 403 ]. One anastomosis gastric bypass (OAGB) and single-anastomosis duodenal ileostomy with sleeve gastrectomy (SADI-S) also are two more commonly recommended miainstream techniques [ 404 ]. Song et al. demonstrates that SG may ameliorate renal injury and enhance uric acid excretion in HN mice by modulating the AMPK/nuclear factor erythroid 2-related factor 2 (Nrf2) pathway and up-regulating urate transporter ABCG2 transcription [ 405 ].
A retrospective analysis involving 498 severely obese patients who underwent SG, RYGB, or OAGB revealed that SG and OAGB were both safe and effective primary surgical options. However, OAGB and RYGB demonstrated superior weight loss outcomes compared to SG [ 406 ]. Another study comparing AGB, RYGB, and SG reported total weight loss (TWL) percentages of 36.29%, 31.59%, and 21.07%, respectively, within the first postoperative year [ 407 ]. Furthermore, a separate retrospective analysis of over 500 extremely obese patients indicated that BPD/DS yielded the highest TWL (38.4%), followed by RYGB (26.3%) and SG (23.6%). Notably, the 30-day complication rate was significantly higher in the BPD/DS group (12.9%) compared to RYGB (4.7%) and SG (8.7%) [ 408 ]. Lucoc’s study included a prospective follow-up of 319 patients who had both LSG and LRYGB (2008–2022) at a tertiary referral center, is consistent with the above conclusions that LRYGB is associated with greater rates of persistent excess weight loss over long-term follow-up [ 409 ]. Meanwhile, in a retrospective analysis of patients with a minimum two-year follow-up, Samuel et al. concluded that super-obese patients undergoing LRYGB, as opposed to LAGB and LSG, achieve the best mid-term outcomes in terms of weight loss and resolution of obesity-related comorbidities [ 410 ].
However, there are dangers and difficulties associated with bariatric surgery according to growing evidence.Individual-level hurdles to bariatric surgery were found to include fear of surgery, fear of changing own lifestyle, the belief that weight had not reached its ‘tipping point’, worries about dietary modifications, a lack of social support, and fear of influence referral [ 411 ]. Despite its potential benefits, the adoption of bariatric surgery has been constrained by several factors, including its invasive nature, substantial financial burden, and the risk of postoperative complications. These limitations have contributed to its relatively restricted application in clinical practice. LSG has a high rate of long-term failure because that one out of three patients will have another bariatric procedure within a decade's time, and half of the patients will gain weight, while up to 90% of patients will occur nutritional deficiencies and a decrease in bone mass over the course of a long-term follow-up [ 412 – 415 ]. Bariatric surgery combined with VD insufficiency is frequent and is anticipated to have a negative effect on the bones [ 416 ]. Bariatric surgery also may result in dumping syndrome [ 417 ]. Extremely obese people are more likely to experience comorbidities, mortality, surgical problems, and decreased weight loss after bariatric surgery.
For bariatric surgery patients to have successful and long-lasting results, postoperative care techniques are required. The first 24 h of inpatient postoperative treatment are devoted to pulmonary hygiene, early ambulation, intravenous fluid therapy, pain management, supplemental oxygen, and symptomatic management of nausea or vomiting [ 418 ]. In the postoperative phase, positive airway pressure treatment can lower the risk of apnea and prevent hypoxic episodes [ 419 – 421 ]. High-quality evidence suggests that the risk of pulmonary embolism and deep vein thrombosis (DVT) can be significantly lowered through a combination of pharmacological interventions and mechanical prophylaxis. Specifically, the administration of unfractionated heparin or low-molecular-weight heparin (LMWH) within 24 h post-surgery, when used alongside intermittent pneumatic compression devices or graduated compression stockings, has been shown to effectively reduce the incidence of these conditions [ 408 , 422 – 424 ].
Additionally, bariatric surgery patients should get postoperative nutritional therapy as soon as possible, including enough protein consumption, vitamin and mineral supplements [ 425 – 428 ]. More research is required to determine if moderate doses of VD supplementation (600–3500 IU/day) and high doses (> 3500 IU/day) enhance VD status while having little to no effect on parathyroid hormone levels, according to Chakhtoura et al. [ 429 ]. Several studies have shown that Proton pump inhibitors (PPI) significantly lower the incidence of ulcers and gastroesophageal reflux disease [ 430 – 432 ]. Moreover, T2DM patients may additionally require modifications to their anti-diabetic medications due to the possibility of hypoglycemia during surgery period [ 433 , 434 ]. Endoscopic care of fistulas, leaks, and ulcers has emerged as the first-line treatment when complications arise, and the arsenal of tools and methods is expanding [ 435 , 436 ]. In addition, White et al. reported that the combination of endoscopic therapy and pharmacologic therapy can address weight recidivism, insufficient weight reduction, or further ameliorate related medical comorbidities [ 437 ].
Emerging therapies
Novel medications and targets
Interleukin- 2 (IL- 2) Emerging evidence from murine models of diet-induced adiposity demonstrates the metabolic regulatory potential of low-dose IL- 2 administration. Moon et al. elucidated a dual mechanistic pathway: a. Direct immunomodulatory effects on CD4 + T lymphocytes, enhancing regulatory T cell (Treg: CD4 + , CD25 + , FoxP3 + ) differentiation while suppressing Th1-mediated gonadal WAT (gWAT) inflammation; b. Neuroimmune crosstalk activation through hypothalamic microglial engagement, stimulating sympathetic outflow that upregulates TGF-β expression concomitant with reductions in pro-inflammatory mediators (IFN-γ, IL- 1β, IL- 6, IL- 8) [ 438 ].
Glucocorticoid (GC) GCs are steroid hormones. Both endogenous and exogenous GC excess are detrimental to health as it can result in maladaptive diseases that mimic the metabolic abnormalities brought on by a HFD, such as Cushing’s syndrome [ 439 ], hypertension [ 440 ], central obesity [ 441 ], IR [ 442 ], and osteoporosis [ 32 ]. In accordance with Zhong’s research, osteoblastic 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) is directly linked to obesity, glucose management dysfunction, and bone loss brought on by a HFD. The enzymatic upregulation of 11β-HSD1 demonstrates dual regulatory effects-suppressing osteoblastic glucose utilization and differentiation while amplifying glucocorticoid-mediated repression of Early Growth Response 2 (Egr2) transcription. Pharmacological intervention using DSS, a bone-specific 11β-HSD1 inhibitor, presents novel therapeutic potential for counteracting HFD-associated metabolic dysregulation and osteopenia [ 443 ]. Nevertheless, the clinical development of 11β-HSD1 inhibitors is still complicated and unsatisfactory [ 444 , 445 ]. Finding the precise tissues or cells to target could be an innovative strategy to the development of 11β-HSD1 inhibitors.
Marine fish oil (FO) Marine food that is abundant in long-chain omega- 3 polyunsaturated fatty acids (LC n- 3 PUFA) and long-chain omega- 6 polyunsaturated fatty acids (LC n- 6 PUFA) has been suggested in a number of studies to be a fruitful alternative for lowering obesity and metabolic problems associated with obesity [ 446 , 447 ]. Furthermore, marine FO offers micronutrients like potassium, iodine, and selenium as well as vitamins A and D [ 448 ]. Pradhan et al. have isolated and studied the Tapra FO which was enriched with essential FA, treatment of Tapra FO in the mice displayed anti-obesity impact in terms of decreasing body weight, BMI, serum lipid profiles, leptin and TNF-α in mice model [ 449 ]. Marine-derived nutritional interventions, particularly those rich in long-chain omega- 3/omega- 6 LC-PUFAs, exhibit anti-adipogenic properties through leptin signaling interference. Preclinical studies document that Phasa FO supplementation (12.5 mg/kg/day) containing conjugated LC-PUFAs significantly downregulates leptin expression at transcriptional and translational levels, effectively inhibiting adipocyte hyperplasia and lipid accumulation [ 450 ]. These findings corroborate marine bioactive compounds as promising candidates for obesity mitigation strategies [ 451 ]. Notably, marine natural products (MNPs) demonstrate broad-spectrum biomedical applications, showing therapeutic efficacy against viral pathogens (HIV, SARS-CoV- 2 variants), chronic infections (tuberculosis, H. pylori), and metabolic comorbidities (diabetes, infection-related cardiovascular disorders) [ 452 ].
Penthorum chinense Pursh (PCP) PCP, a traditional Chinese medicine, has been used for centuries to relieve the symptoms of excessive alcohol consumption, and treated traumatic damage, edema, and liver disorders such as hepatic viral infections (ALD), NAFLD, and liver fibrosis additionally [ 453 – 455 ]. Hu et al. found that PCP supplementation resulted in reduced body weight and hyperglycemia by decreasing the abundance of Firmicutes and increasing the proportion of Bacteroidetes at the phylum level [ 456 ]. Additionally, Hu et al. investigate how PCP treatment improved dyslipidemia and decreased food consumption and obesity. This may be because PCP activates the liver's GLUT2/glucokinase (GCK) expression and lowers hepatic oxidative stress in db/db mice [ 457 ]. Besides, there are no specific human experiments to elucidate the anti-obesity mechanism of PCP.
Myeloid differentiation factor 2 (MD- 2) inhibitors Novel MD- 2 inhibitors (MAC28 and 2i- 10) exhibit neuroprotective effects by attenuating MD- 2-toll-like receptor 4 (TLR4)-mediated neuroinflammation. These compounds preserve hippocampal neurogenesis while mitigating obesity-associated cognitive deficits through modulation of microglial activation and oxidative stress markers [ 458 ]. Similarly, further clinical studies are supposed to MD- 2 inhibitors as an adjunct to the treatment of obesity.
Diosgenin (DSG) DSG, a naturally occurring steroidal saponin found in a variety of plants, including Solanum and Dioscorea, has a variety of actions in inflammatory illnesses. DSG is also recognized to be beneficial against metabolic problems linked to obesity and IR [ 459 ]. Experimental models reveal DSG-mediated suppression of lipogenic regulators (sterol regulatory element-binding protein 1c (SREBP- 1c) and fatty acid synthase (FAS)) with concurrent upregulation of lipolytic enzymes (phospho-AMPK (p-AMPK), phospho-acetyl-coA carboxylase (p-ACC), and carnitine acyl transferase 1 A (CPT- 1 A)), effectively reducing ectopic lipid deposition [ 460 ]. In vivo study, the administration of a DSG regimen improved various weight-related outcomes and obesity-related IR by enhancing IRS1/2-PI3 K-Akt signaling pathway activation [ 461 ].
Positive regulatory domain PRDM16 A β3 adrenergic receptor agonist called mirabegron might boost whole-body energy expenditure and activate human BAT [ 462 , 463 ]. Nonetheless, Higher dosages may not be clinically used due to possible cardiovascular side effects [ 464 ]. PRDM16 is not a direct pharmacological target like GLP- 1 receptor agonist and β3 adrenergic receptor agonist. The mechanism of PRDM16 in AT is as follows: PRDM16 directly activates the thermogenic function of BAT and induces the browning of WAT by binding to the promoter of UCP1 and PPAR-γ coactivator 1α (PGC1α), indirectly regulates AT function by promoting SLIT2 protein secretion and inducing β-hydroxybutyrate (BHB) secretion [ 465 ]. According to numerous studies, a number of medications, such as resveratrol [ 466 ], rutaecarpine [ 467 ], acadesine (AICAR), metformin [ 468 ], rosiglitazone [ 469 ], and liraglupeptide [ 470 ], can reduce obesity and diabetes by altering the expression and function of PRDM16. Nevertheless, PRDM16 is also expressed in cardiac and skeletal muscle. Therefore, there is still more work to be done to target the PRDM16 protein in thermogenic AT in order to battle obesity and the metabolic diseases that are associated with obesity.
Vanadium compounds As long-acting insulin sensitizers, organically derivatized polyoxovanadates (POVs) modified with long-chain aliphatic acids significantly reduce body weight in HFD-fed mice after 8-week administration, notably attenuating adipose tissue accumulation and inflammation. These findings suggest that vanadium-based compounds targeting obesity-associated proteins represent a promising pharmacological strategy for obesity management [ 471 ].
Pancreatic lipase (PL) inhibitors Frans et al. demonstrated that tetrahydrocannabinol (THC) and cannabinol (CBN), bioactive extracts from Cannabis sativa (C. sativa) , competitively inhibit PL activity. This highlights the potential of C. sativa-derived compounds as novel candidates for developing anti-obesity therapeutics and weight-regulatory agents [ 472 ].
Collectively, these advances underscore innovative therapeutic avenues for obesity. However, rigorous preclinical validation and clinical trials remain imperative to evaluate the efficacy, safety, and translational applicability of these approaches in diverse populations.
Device-based therapies
The significance of device-based therapies is further highlighted by the complexity and prevalence of obesity and the metabolic problems that accompany obesity [ 473 ]. Mobile smart device-based health interventions (mHealth) may offer an appealing and economical strategy for encouraging long-term adaptations of healthier lifestyles, according to a two-arm parallel cluster-RCT [ 474 ].
Meanwhile, a medical device based on polyglucosamine polymers (PG) shown a substantial effect on lowering body weight, IR, and cholesterol levels by binding lipids in the upper gastrointestinal tract and decreasing their availability, according to Rondanelli et al.’s innovative and safe treatments for obesity [ 475 ]. Additionally, Simvastatin (Sim) encapsulated within PLGA NPs (Sim-NP) was created by Mohaghegh et al. for localized delivery of Sim to ATs for immuno-modulation, which significantly reduced the progression of inflammation linked to obesity, controlled the synthesis of white fat, and improved AT modulation [ 476 ].
Genetic therapies
Tang et al. demonstrated that adeno-associated virus (AAV)-mediated fat- 1 gene therapy—targeting a fatty acid desaturase that converts omega- 6 to omega- 3 FFAs—ameliorates obesity-induced metabolic dysfunction, cellular senescence, and osteoarthritis by modulating FFA composition [ 477 ]. MiRNAs, critical epigenetic regulators, exhibit dynamic expression patterns during adipogenesis: persistently upregulated miRNAs in obesity are suppressed during adipocyte differentiation, whereas downregulated miRNAs in obese individuals are elevated in mature adipocytes, thus highlighting their potential as novel therapeutic targets for obesity [ 478 ].
Furthermore, Attia et al. showed that dulaglutide treatment mitigates oxidative DNA damage and hypermethylation in obese animals by restoring the expression of DNA repair genes (e.g., DNMT1, OGG1, and p53), thereby preserving genomic integrityc [ 479 ]. Genetic screening for rare obesity-related disorders, informed by clinical insights from pediatric weight management specialists, is essential for optimizing adolescent obesity care [ 480 ]. Implementing next-generation sequencing (NGS) to identify variants in Lep, LepR, MC4R, and POMC genes enables timely, genetically guided interventions for non-syndromic early-onset obesity in children and adolescents [ 481 ]. Clinical advancements include setmelanotide (IMCIVREETM, Rhythm Pharmaceuticals), an MC4R agonist approved for monogenic obesity disorders (POMC, LepR deficiencies). Ongoing trials explore its efficacy in syndromic obesities (Bardet-Biedl, Alström syndromes) and epigenetic dysregulations of the melanocortin pathway [ 482 ].
Likewise, preclinical research suggests that adipose-derived mesenchymal stem cell (ADMSC)-based cell and gene therapy may be a promising treatment option for obesity and its metabolic consequences [ 483 ]. The process of transferring a donor's feces to a recipient using a nasogastric tube, colonoscope, enema, capsule, or a combination of these is known as a fecal microbiota transplants (FMTs) [ 484 ]. FMTs demonstrates transient metabolic benefits in obesity management, with lean donor FMT inducing short-term (6-week) improvements in microbial butyrogenesis and insulin sensitivity. However, longitudinal analysis (18-week follow-up) reveals microbial community reversion to baseline configurations, underscoring the necessity for sustained intervention protocols [ 485 , 486 ]. Despite the strength of these findings, additional research with bigger sample sizes and longer duration is needed to ascertain the long-term stability of donor engraftment and related phenotypes.
Conclusion and prospects
According to the World Obesity Atlas 2024, obesity prevalence among Chinese adults and children continues to rise, positioning obesity as a critical global health challenge across all age groups. The multifactorial pathogenesis of obesity and its complications, coupled with incomplete elucidation of pathophysiological mechanisms by current medical approaches, contributes to suboptimal treatment efficacy and unfavorable prognoses. This review systematically examines obesity pathophysiology through six dimensions: energy balance/metabolic adaptation, hormonal regulation, neural control, inflammation/immune responses, genetic/epigenetic factors, and gut microbiota dynamics. We further analyze mechanisms underlying obesity-related comorbidities and evaluate therapeutic interventions, with particular emphasis on BBR—a natural alkaloid-detailing its pharmacological properties, anti-obesity mechanisms, clinical limitations (notably poor bioavailability and absorption), and recent formulation advancements (e.g., derivatives, eutectic compounds, adipose-targeted delivery systems). This research focuses on the multidimensional pathophysiology exploration (neuroendocrine-immune-metabolic crosstalk), optimization of pharmacological agents (GLP- 1 RAs, dual/triple agonists) and natural compounds (BBR formulation enhancement), and echanistic studies on adipose tissue browning, gut microbiota modulation, and epigenetic regulation.
While preclinical studies demonstrate BBR’s potential in modulating adipose activation and metabolic syndrome, current clinical trials lack obesity-specific endpoints and standardized protocols. In addition, BBR’s low bioavailability and poor oral absorption limit its clinical application. Emerging anti-obesity agents (e.g., GLP- 1 receptor agonists, triple incretin agonists) show superior efficacy, necessitating formulation optimization for BBR to achieve clinical competitiveness. Furthermore, most novel therapeutics remain in preclinical stages, requiring rigorous safety/efficacy validation.
Future obesity-related research should focus more on the following priorities: 1. Translational Development: Clinical validation of preclinical anti-obesity candidates (e.g., IL- 2 analogs, marine-derived compounds) and bioavailability enhancement strategies for phytochemicals (nanodelivery, structural analogs). 2. Precision Medicine: Biomarker discovery for personalized obesity subtyping and treatment, and long-term safety/efficacy studies of novel agents. 3. Preventive Paradigms: Early-life interventions targeting developmental origins of obesity and public health policies addressing obesogenic environments. 4. Therapeutic Innovation: Non-surgical alternatives for high-risk populations (device-based/gene therapies), and combinatorial approaches integrating pharmacotherapy, microbiota modulation, and behavioral interventions.
Acknowledgements
This work was supported by Priority Union Foundation of Yunnan Provincial Science and Technology Department and Kunming Medical University (No.202201AY070001-066), Funding of the “famous doctors” project of the support plan for the talents of Xingdian (No.RLMY20220005), The scientific and technological innovation team of Kunming Medical University (CXTD202209), Yunnan Provincial Endocrinology and Metabolism Clinical Medicine Center (YWLCYXZXXYS20221005), Clinical Collaboration Project of Traditional Chinese and Western Medicine for Major Difficult Diseases of Yunnan Province (300073).
Authors’ contributions
Y.K. and H.K.Y. were responsible for manuscript writing. R.N. and F.Z. were responsible for searching literature. X.X.Z. and H.T.Z. provided manuscript writing guidance for the review. X.N. carried out the final review and provided financial support. All authors have read and approved the final manuscript.
Funding
This work was supported by Priority Union Foundation of Yunnan Provincial Science and Technology Department and Kunming Medical University (No.202201 AY070001 - 066), Funding of the"famous doctors"project of the support plan for the talents of Xingdian (No.RLMY20220005), The scientific and technological innovation team of Kunming Medical University (CXTD202209), Yunnan Provincial Endocrinology and Metabolism Clinical Medicine Center (YWLCYXZXXYS20221005),Clinical Collaboration Project of Traditional Chinese and Western Medicine for Major Difficult Diseases of Yunnan Province (300073).
Data availability
Not applicable.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
The review in this paper have not been published previously in whole or part, all authors unanimously consent for publication.
Competing interests
Author Hongtao Zhang is an employee in Hangzhou CytoCan Biotech, but has no potential relevant financial or non-financial interests to disclose. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Yue Kong and Haokun Yang are co-first authors.
Contributor Information
Hongtao Zhang, Email: zhanghongtao@cytocan.com.
Xin Nian, Email: nianxinkm@hotmail.com.
References
1. Bray GA. Evaluation of obesity. Who are the obese? Postgrad Med. 2003;114(6):19–27, 38. 10.3810/pgm.2003.12.1544.
2. Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, et al. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond). 2008;32(6):959–66. 10.1038/ijo.2008.11.
3. Ilyas Z, Perna S, Al-Thawadi S, Alalwan TA, Riva A, Petrangolini G, et al. The effect of Berberine on weight loss in order to prevent obesity: a systematic review. Biomed Pharmacother. 2020;127: 110137. 10.1016/j.biopha.2020.110137.
4. Meldrum DR, Morris MA, Gambone JC. Obesity pandemic: causes, consequences, and solutions-but do we have the will? Fertil Steril. 2017;107(4):833–9. 10.1016/j.fertnstert.2017.02.104.
5. Müller TD, Blüher M, Tschöp MH, DiMarchi RD. Anti-obesity drug discovery: advances and challenges. Nat Rev Drug Discov. 2022;21(3):201–23. 10.1038/s41573-021-00337-8.
6. Bray GA, Kim KK, Wilding JPH. Obesity: a chronic relapsing progressive disease process. A position statement of the world obesity federation. Obes Rev. 2017;18(7):715–23. 10.1111/obr.12551.
7. Lin X, Li H. Obesity: epidemiology, pathophysiology, and therapeutics. Front Endocrinol (Lausanne). 2021;12: 706978. 10.3389/fendo.2021.706978.
8. Peng W, Zhang L, Wen F, Tang X, Zeng L, Chen J, et al. Trends and disparities in non-communicable diseases in the Western Pacific region. Lancet Reg Health West Pac. 2024;43: 100938. 10.1016/j.lanwpc.2023.100938.
9. Chen K, Shen Z, Gu W, Lyu Z, Qi X, Mu Y, et al. Prevalence of obesity and associated complications in China: A cross-sectional, real-world study in 15.8 million adults. Diabetes Obes Metab. 2023;25(11):3390–9. 10.1111/dom.15238.
10. Guo HH, Shen HR, Wang LL, Luo ZG, Zhang JL, Zhang HJ, et al. Berberine is a potential alternative for metformin with good regulatory effect on lipids in treating metabolic diseases. Biomed Pharmacother. 2023;163: 114754. 10.1016/j.biopha.2023.114754.
11. Shen W, Wang Z, Punyanita M, Lei J, Sinav A, Kral JG, et al. Adipose tissue quantification by imaging methods: a proposed classification. Obes Res. 2003;11(1):5–16. 10.1038/oby.2003.3.
12. Rosen ED, Spiegelman BM. What we talk about when we talk about fat. Cell. 2014;156(1–2):20–44. 10.1016/j.cell.2013.12.012.
13. Pilkington AC, Paz HA, Wankhade UD. Beige adipose tissue identification and marker specificity-overview. Front Endocrinol (Lausanne). 2021;12: 599134. 10.3389/fendo.2021.599134.
14. Qian S, Tang Y, Tang QQ. Adipose tissue plasticity and the pleiotropic roles of BMP signaling. J Biol Chem. 2021;296: 100678. 10.1016/j.jbc.2021.100678.
15. Bartelt A, Heeren J. Adipose tissue browning and metabolic health. Nat Rev Endocrinol. 2014;10(1):24–36. 10.1038/nrendo.2013.204.
16. Prapaharan B, Lea M, Beaudry JL. Weighing in on the role of brown adipose tissue for treatment of obesity. J Pharm Pharm Sci. 2024;27: 13157. 10.3389/jpps.2024.13157.
17. Nicholls DG, Locke RM. Thermogenic mechanisms in brown fat. Physiol Rev. 1984;64(1):1–64. 10.1152/physrev.1984.64.1.1.
18. Wu J, Boström P, Sparks LM, Ye L, Choi JH, Giang AH, et al. Beige adipocytes are a distinct type of thermogenic fat cell in mouse and human. Cell. 2012;150(2):366–76. 10.1016/j.cell.2012.05.016.
19. Himms-Hagen J, Melnyk A, Zingaretti MC, Ceresi E, Barbatelli G, Cinti S. Multilocular fat cells in WAT of CL-316243-treated rats derive directly from white adipocytes. Am J Physiol Cell Physiol. 2000;279(3):C670–81. 10.1152/ajpcell.2000.279.3.C670.
20. Barbatelli G, Murano I, Madsen L, Hao Q, Jimenez M, Kristiansen K, et al. The emergence of cold-induced brown adipocytes in mouse white fat depots is determined predominantly by white to brown adipocyte transdifferentiation. Am J Physiol Endocrinol Metab. 2010;298(6):E1244–53. 10.1152/ajpendo.00600.2009.
21. Zhang J, Wu H, Ma S, Gao L, Yu C, Jing F, et al. TSH promotes adiposity by inhibiting the browning of white fat. Adipocyte. 2020;9(1):264–78. 10.1080/21623945.2020.1783101.
22. Yoneshiro T, Aita S, Matsushita M, Kayahara T, Kameya T, Kawai Y, et al. Recruited brown adipose tissue as an antiobesity agent in humans. J Clin Invest. 2013;123(8):3404–8. 10.1172/jci67803.
23. Vishvanath L, Gupta RK. Contribution of adipogenesis to healthy adipose tissue expansion in obesity. J Clin Invest. 2019;129(10):4022–31. 10.1172/jci129191.
24. Pallio G. New insights into adipose tissue metabolic function and dysfunction. Int J Mol Sci. 2023;24(12): 9953. 10.3390/ijms24129953.
25. Carobbio S, Pellegrinelli V, Vidal-Puig A. Adipose tissue dysfunction determines lipotoxicity and triggers the metabolic syndrome: current challenges and clinical perspectives. Adv Exp Med Biol. 2024;1460:231–72. 10.1007/978-3-031-63657-8_8.
26. Huang L, Guo Z, Huang M, Zeng X, Huang H. Triiodothyronine (T3) promotes browning of white adipose through inhibition of the PI3K/AKT signalling pathway. Sci Rep. 2024;14(1):20370. 10.1038/s41598-024-71591-0.
27. Sethi JK, Vidal-Puig AJ. Thematic review series: adipocyte biology. Adipose tissue function and plasticity orchestrate nutritional adaptation. J Lipid Res. 2007;48(6):1253–62. 10.1194/jlr.R700005-JLR200.
28. Karri S, Sharma S, Hatware K, Patil K. Natural anti-obesity agents and their therapeutic role in management of obesity: a future trend perspective. Biomed Pharmacother. 2019;110:224–38. 10.1016/j.biopha.2018.11.076.
29. Gjermeni E, Kirstein AS, Kolbig F, Kirchhof M, Bundalian L, Katzmann JL, et al. Obesity-an update on the basic pathophysiology and review of recent therapeutic advances. Biomolecules. 2021;11(10): 1426. 10.3390/biom11101426.
30. Obradovic M, Sudar-Milovanovic E, Soskic S, Essack M, Arya S, Stewart AJ, et al. Leptin and obesity: role and clinical implication. Front Endocrinol (Lausanne). 2021;12: 585887. 10.3389/fendo.2021.585887.
31. Busebee B, Ghusn W, Cifuentes L, Acosta A. Obesity: a review of pathophysiology and classification. Mayo Clin Proc. 2023;98(12):1842–57. 10.1016/j.mayocp.2023.05.026.
32. Kar R, Panchali T, Das P, Dutta A, Phoujdar M, Pradhan S. Overview of the therapeutic efficacy of marine fish oil in managing obesity and associated metabolic disorders. Physiol Rep. 2024;12(19):e70019. 10.14814/phy2.70019.
33. Székely M, Soós S, Pétervári E, Balaskó M. Chapter 14 - nutritional impact on anabolic and catabolic signaling. In: Malavolta M, Mocchegiani E, editors. Molecular basis of nutrition and aging. San Diego: Academic Press; 2016. p. 189–204. 10.1016/B978-0-12-801816-3.00014-5.
34. Zhang X, Zhang G, Zhang H, Karin M, Bai H, Cai D. Hypothalamic IKKbeta/NF-kappaB and ER stress link overnutrition to energy imbalance and obesity. Cell. 2008;135(1):61–73. 10.1016/j.cell.2008.07.043.
35. Magni P, Liuzzi A, Ruscica M, Dozio E, Ferrario S, Bussi I, et al. Free and bound plasma leptin in normal weight and obese men and women: relationship with body composition, resting energy expenditure, insulin-sensitivity, lipid profile and macronutrient preference. Clin Endocrinol (Oxf). 2005;62(2):189–96. 10.1111/j.1365-2265.2005.02195.x.
36. Schwartz MW, Peskind E, Raskind M, Boyko EJ, Porte D Jr. Cerebrospinal fluid leptin levels: relationship to plasma levels and to adiposity in humans. Nat Med. 1996;2(5):589–93. 10.1038/nm0596-589.
37. Pan W, Hsuchou H, He Y, Sakharkar A, Cain C, Yu C, et al. Astrocyte leptin receptor (ObR) and leptin transport in adult-onset obese mice. Endocrinology. 2008;149(6):2798–806. 10.1210/en.2007-1673.
38. de Git KC, Adan RA. Leptin resistance in diet-induced obesity: the role of hypothalamic inflammation. Obes Rev. 2015;16(3):207–24. 10.1111/obr.12243.
39. Koga S, Kojima A, Ishikawa C, Kuwabara S, Arai K, Yoshiyama Y. Effects of diet-induced obesity and voluntary exercise in a tauopathy mouse model: implications of persistent hyperleptinemia and enhanced astrocytic leptin receptor expression. Neurobiol Dis. 2014;71:180–92. 10.1016/j.nbd.2014.08.015.
40. Williams KJ, Wu X. Imbalanced insulin action in chronic over nutrition: clinical harm, molecular mechanisms, and a way forward. Atherosclerosis. 2016;247:225–82. 10.1016/j.atherosclerosis.2016.02.004.
41. Belfort-DeAguiar R, Seo D. Food cues and obesity: overpowering hormones and energy balance regulation. Curr Obes Rep. 2018;7(2):122–9. 10.1007/s13679-018-0303-1.
42. Boden G, Homko C, Barrero CA, Stein TP, Chen X, Cheung P, et al. Excessive caloric intake acutely causes oxidative stress, GLUT4 carbonylation, and insulin resistance in healthy men. Sci Transl Med. 2015;7(304):304re7. 10.1126/scitranslmed.aac4765.
43. Bowden Davies KA, Sprung VS, Norman JA, Thompson A, Mitchell KL, Halford JCG, et al. Short-term decreased physical activity with increased sedentary behaviour causes metabolic derangements and altered body composition: effects in individuals with and without a first-degree relative with type 2 diabetes. Diabetologia. 2018;61(6):1282–94. 10.1007/s00125-018-4603-5.
44. Donga E, van Dijk M, van Dijk JG, Biermasz NR, Lammers GJ, van Kralingen KW, et al. A single night of partial sleep deprivation induces insulin resistance in multiple metabolic pathways in healthy subjects. J Clin Endocrinol Metab. 2010;95(6):2963–8. 10.1210/jc.2009-2430.
45. Steppan CM, Lazar MA. Resistin and obesity-associated insulin resistance. Trends Endocrinol Metab. 2002;13(1):18–23.
46. Tong Y, Xu S, Huang L, Chen C. Obesity and insulin resistance: pathophysiology and treatment. Drug Discov Today. 2022;27(3):822–30. 10.1016/j.drudis.2021.11.001.
47. Tschöp M, Smiley DL, Heiman ML. Ghrelin induces adiposity in rodents. Nature. 2000;407(6806):908–13. 10.1038/35038090.
48. López M, Lage R, Saha AK, Pérez-Tilve D, Vázquez MJ, Varela L, et al. Hypothalamic fatty acid metabolism mediates the orexigenic action of ghrelin. Cell Metab. 2008;7(5):389–99. 10.1016/j.cmet.2008.03.006.
49. Otto B, Cuntz U, Fruehauf E, Wawarta R, Folwaczny C, Riepl RL, et al. Weight gain decreases elevated plasma ghrelin concentrations of patients with anorexia nervosa. Eur J Endocrinol. 2001;145(5):669–73.
50. Otto B, Tschöp M, Frühauf E, Heldwein W, Fichter M, Otto C, et al. Postprandial ghrelin release in anorectic patients before and after weight gain. Psychoneuroendocrinology. 2005;30(6):577–81. 10.1016/j.psyneuen.2005.01.009.
51. López M, Nogueiras R, Tena-Sempere M, Diéguez C. Hypothalamic AMPK: a canonical regulator of whole-body energy balance. Nat Rev Endocrinol. 2016;12(7):421–32. 10.1038/nrendo.2016.67.
52. Anderson KA, Ribar TJ, Lin F, Noeldner PK, Green MF, Muehlbauer MJ, et al. Hypothalamic CaMKK2 contributes to the regulation of energy balance. Cell Metab. 2008;7(5):377–88. 10.1016/j.cmet.2008.02.011.
53. Velásquez DA, Martínez G, Romero A, Vázquez MJ, Boit KD, Dopeso-Reyes IG, et al. The central Sirtuin 1/p53 pathway is essential for the orexigenic action of ghrelin. Diabetes. 2011;60(4):1177–85. 10.2337/db10-0802.
54. Yavari A, Stocker CJ, Ghaffari S, Wargent ET, Steeples V, Czibik G, et al. Chronic activation of γ2 AMPK induces obesity and reduces β cell function. Cell Metab. 2016;23(5):821–36. 10.1016/j.cmet.2016.04.003.
55. Banks WA, Burney BO, Robinson SM. Effects of triglycerides, obesity, and starvation on ghrelin transport across the blood-brain barrier. Peptides. 2008;29(11):2061–5. 10.1016/j.peptides.2008.07.001.
56. Gardiner JV, Campbell D, Patterson M, Kent A, Ghatei MA, Bloom SR, et al. The hyperphagic effect of ghrelin is inhibited in mice by a diet high in fat. Gastroenterology. 2010;138(7):2468–76, 76.e1. 10.1053/j.gastro.2010.02.012.
57. Wang ZV, Scherer PE. Adiponectin, the past two decades. J Mol Cell Biol. 2016;8(2):93–100. 10.1093/jmcb/mjw011.
58. Yamauchi T, Kamon J, Ito Y, Tsuchida A, Yokomizo T, Kita S, et al. Cloning of adiponectin receptors that mediate antidiabetic metabolic effects. Nature. 2003;423(6941):762–9. 10.1038/nature01705.
59. Arita Y, Kihara S, Ouchi N, Takahashi M, Maeda K, Miyagawa J, et al. Paradoxical decrease of an adipose-specific protein, adiponectin, in obesity. Biochem Biophys Res Commun. 1999;257(1):79–83. 10.1006/bbrc.1999.0255.
60. Hotta K, Funahashi T, Arita Y, Takahashi M, Matsuda M, Okamoto Y, et al. Plasma concentrations of a novel, adipose-specific protein, adiponectin, in type 2 diabetic patients. Arterioscler Thromb Vasc Biol. 2000;20(6):1595–9. 10.1161/01.atv.20.6.1595.
61. Singh P, Sharma P, Sahakyan KR, Davison DE, Sert-Kuniyoshi FH, Romero-Corral A, et al. Differential effects of leptin on adiponectin expression with weight gain versus obesity. Int J Obes (Lond). 2016;40(2):266–74. 10.1038/ijo.2015.181.
62. Thorens B. Expression cloning of the pancreatic beta cell receptor for the gluco-incretin hormone glucagon-like peptide 1. Proc Natl Acad Sci U S A. 1992;89(18):8641–5. 10.1073/pnas.89.18.8641.
63. Drucker DJ, Philippe J, Mojsov S, Chick WL, Habener JF. Glucagon-like peptide I stimulates insulin gene expression and increases cyclic AMP levels in a rat islet cell line. Proc Natl Acad Sci U S A. 1987;84(10):3434–8. 10.1073/pnas.84.10.3434.
64. Baggio LL, Drucker DJ. Biology of incretins: GLP-1 and GIP. Gastroenterology. 2007;132(6):2131–57. 10.1053/j.gastro.2007.03.054.
65. Cho YM, Fujita Y, Kieffer TJ. Glucagon-like peptide-1: glucose homeostasis and beyond. Annu Rev Physiol. 2014;76:535–59. 10.1146/annurev-physiol-021113-170315.
66. Drucker DJ. Mechanisms of action and therapeutic application of glucagon-like peptide-1. Cell Metab. 2018;27(4):740–56. 10.1016/j.cmet.2018.03.001.
67. Hayes MR, Leichner TM, Zhao S, Lee GS, Chowansky A, Zimmer D, et al. Intracellular signals mediating the food intake-suppressive effects of hindbrain glucagon-like peptide-1 receptor activation. Cell Metab. 2016;23(4):745. 10.1016/j.cmet.2016.02.010.
68. Williams DL. Minireview: finding the sweet spot: peripheral versus central glucagon-like peptide 1 action in feeding and glucose homeostasis. Endocrinology. 2009;150(7):2997–3001. 10.1210/en.2009-0220.
69. Grill HJ. A role for GLP-1 in treating hyperphagia and obesity. Endocrinology. 2020;161(8): bqaa093. 10.1210/endocr/bqaa093.
70. He Z, Gao Y, Lieu L, Afrin S, Cao J, Michael NJ, et al. Direct and indirect effects of liraglutide on hypothalamic POMC and NPY/AgRP neurons - implications for energy balance and glucose control. Mol Metab. 2019;28:120–34. 10.1016/j.molmet.2019.07.008.
71. Makaronidis JM, Batterham RL. The role of gut hormones in the pathogenesis and management of obesity. Curr Opin Physiol. 2019;12:1–11. 10.1016/j.cophys.2019.04.007.
72. Kieffer TJ, McIntosh CH, Pederson RA. Degradation of glucose-dependent insulinotropic polypeptide and truncated glucagon-like peptide 1 in vitro and in vivo by dipeptidyl peptidase IV. Endocrinology. 1995;136(8):3585–96. 10.1210/endo.136.8.7628397.
73. De Silva A, Salem V, Long CJ, Makwana A, Newbould RD, Rabiner EA, et al. The gut hormones PYY 3–36 and GLP-1 7–36 amide reduce food intake and modulate brain activity in appetite centers in humans. Cell Metab. 2011;14(5):700–6. 10.1016/j.cmet.2011.09.010.
74. Pi-Sunyer X, Astrup A, Fujioka K, Greenway F, Halpern A, Krempf M, et al. A randomized, controlled trial of 3.0 mg of liraglutide in weight management. N Engl J Med. 2015;373(1):11–22. 10.1056/NEJMoa1411892.
75. Leeners B, Geary N, Tobler PN, Asarian L. Ovarian hormones and obesity. Hum Reprod Update. 2017;23(3):300–21. 10.1093/humupd/dmw045.
76. Morton GJ, Cummings DE, Baskin DG, Barsh GS, Schwartz MW. Central nervous system control of food intake and body weight. Nature. 2006;443(7109):289–95. 10.1038/nature05026.
77. Krashes MJ, Shah BP, Madara JC, Olson DP, Strochlic DE, Garfield AS, et al. An excitatory paraventricular nucleus to AgRP neuron circuit that drives hunger. Nature. 2014;507(7491):238–42. 10.1038/nature12956.
78. Diano S. New aspects of melanocortin signaling: a role for PRCP in α-MSH degradation. Front Neuroendocrinol. 2011;32(1):70–83. 10.1016/j.yfrne.2010.09.001.
79. McClellan KM, Calver AR, Tobet SA. GABAB receptors role in cell migration and positioning within the ventromedial nucleus of the hypothalamus. Neuroscience. 2008;151(4):1119–31. 10.1016/j.neuroscience.2007.11.048.
80. Tong Q, Ye CP, Jones JE, Elmquist JK, Lowell BB. Synaptic release of GABA by AgRP neurons is required for normal regulation of energy balance. Nat Neurosci. 2008;11(9):998–1000. 10.1038/nn.2167.
81. Quarta C, Fioramonti X, Cota D. POMC neurons dysfunction in diet-induced metabolic disease: hallmark or mechanism of disease? Neuroscience. 2020;447:3–14. 10.1016/j.neuroscience.2019.09.031.
82. Cowley MA, Smart JL, Rubinstein M, Cerdán MG, Diano S, Horvath TL, et al. Leptin activates anorexigenic POMC neurons through a neural network in the arcuate nucleus. Nature. 2001;411(6836):480–4. 10.1038/35078085.
83. McNay DE, Briançon N, Kokoeva MV, Maratos-Flier E, Flier JS. Remodeling of the arcuate nucleus energy-balance circuit is inhibited in obese mice. J Clin Invest. 2012;122(1):142–52. 10.1172/jci43134.
84. Banks WA, Farr SA, Salameh TS, Niehoff ML, Rhea EM, Morley JE, et al. Triglycerides cross the blood-brain barrier and induce central leptin and insulin receptor resistance. Int J Obes (Lond). 2018;42(3):391–7. 10.1038/ijo.2017.231.
85. Ozcan L, Ergin AS, Lu A, Chung J, Sarkar S, Nie D, et al. Endoplasmic reticulum stress plays a central role in development of leptin resistance. Cell Metab. 2009;9(1):35–51. 10.1016/j.cmet.2008.12.004.
86. Briancon N, McNay DE, Maratos-Flier E, Flier JS. Combined neural inactivation of suppressor of cytokine signaling-3 and protein-tyrosine phosphatase-1B reveals additive, synergistic, and factor-specific roles in the regulation of body energy balance. Diabetes. 2010;59(12):3074–84. 10.2337/db10-0481.
87. Souza GF, Solon C, Nascimento LF, De-Lima-Junior JC, Nogueira G, Moura R, et al. Defective regulation of POMC precedes hypothalamic inflammation in diet-induced obesity. Sci Rep. 2016;6: 29290. 10.1038/srep29290.
88. Yi CX, Walter M, Gao Y, Pitra S, Legutko B, Kälin S, et al. TNFα drives mitochondrial stress in POMC neurons in obesity. Nat Commun. 2017;8: 15143. 10.1038/ncomms15143.
89. Liu T, Xu Y, Yi CX, Tong Q, Cai D. The hypothalamus for whole-body physiology: from metabolism to aging. Protein Cell. 2022;13(6):394–421. 10.1007/s13238-021-00834-x.
90. Yu R. Immune-signaling molecules and obesity-induced inflammation. J Nutr Sci Vitaminol (Tokyo). 2015;61(Suppl):S131–2. 10.3177/jnsv.61.S131.
91. Choe SS, Huh JY, Hwang IJ, Kim JI, Kim JB. Adipose tissue remodeling: its role in energy metabolism and metabolic disorders. Front Endocrinol (Lausanne). 2016;7: 30. 10.3389/fendo.2016.00030.
92. Exley MA, Hand L, O’Shea D, Lynch L. Interplay between the immune system and adipose tissue in obesity. J Endocrinol. 2014;223(2):R41–8. 10.1530/joe-13-0516.
93. Hotamisligil GS. Inflammation, metaflammation and immunometabolic disorders. Nature. 2017;542(7640):177–85. 10.1038/nature21363.
94. Engin A. Reappraisal of adipose tissue inflammation in obesity. Adv Exp Med Biol. 2024;1460:297–327. 10.1007/978-3-031-63657-8_10.
95. De Souza CT, Araujo EP, Bordin S, Ashimine R, Zollner RL, Boschero AC, et al. Consumption of a fat-rich diet activates a proinflammatory response and induces insulin resistance in the hypothalamus. Endocrinology. 2005;146(10):4192–9. 10.1210/en.2004-1520.
96. Cui H, López M, Rahmouni K. The cellular and molecular bases of leptin and ghrelin resistance in obesity. Nat Rev Endocrinol. 2017;13(6):338–51. 10.1038/nrendo.2016.222.
97. Yilmaz E. Endoplasmic reticulum stress and obesity. Adv Exp Med Biol. 2024;1460:373–90. 10.1007/978-3-031-63657-8_13.
98. Kawasaki N, Asada R, Saito A, Kanemoto S, Imaizumi K. Obesity-induced endoplasmic reticulum stress causes chronic inflammation in adipose tissue. Sci Rep. 2012;2: 799. 10.1038/srep00799.
99. Weisberg SP, McCann D, Desai M, Rosenbaum M, Leibel RL, Ferrante AW Jr. Obesity is associated with macrophage accumulation in adipose tissue. J Clin Invest. 2003;112(12):1796–808. 10.1172/jci19246.
100. Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest. 2003;112(12):1821–30. 10.1172/jci19451.
101. Nagareddy PR, Kraakman M, Masters SL, Stirzaker RA, Gorman DJ, Grant RW, et al. Adipose tissue macrophages promote myelopoiesis and monocytosis in obesity. Cell Metab. 2014;19(5):821–35. 10.1016/j.cmet.2014.03.029.
102. Bijnen M, Josefs T, Cuijpers I, Maalsen CJ, van de Gaar J, Vroomen M, et al. Adipose tissue macrophages induce hepatic neutrophil recruitment and macrophage accumulation in mice. Gut. 2018;67(7):1317–27. 10.1136/gutjnl-2016-313654.
103. Watanabe Y, Nagai Y, Honda H, Okamoto N, Yanagibashi T, Ogasawara M, et al. Bidirectional crosstalk between neutrophils and adipocytes promotes adipose tissue inflammation. FASEB J. 2019;33(11):11821–35. 10.1096/fj.201900477RR.
104. Hadad N, Burgazliev O, Elgazar-Carmon V, Solomonov Y, Wueest S, Item F, et al. Induction of cytosolic phospholipase a2α is required for adipose neutrophil infiltration and hepatic insulin resistance early in the course of high-fat feeding. Diabetes. 2013;62(9):3053–63. 10.2337/db12-1300.
105. Deiuliis J, Shah Z, Shah N, Needleman B, Mikami D, Narula V, et al. Visceral adipose inflammation in obesity is associated with critical alterations in tregulatory cell numbers. PLoS One. 2011;6(1): e16376. 10.1371/journal.pone.0016376.
106. Pandolfi JB, Ferraro AA, Sananez I, Gancedo MC, Baz P, Billordo LA, et al. ATP-induced inflammation drives tissue-resident Th17 cells in metabolically unhealthy obesity. J Immunol. 2016;196(8):3287–96. 10.4049/jimmunol.1502506.
107. Winer S, Chan Y, Paltser G, Truong D, Tsui H, Bahrami J, et al. Normalization of obesity-associated insulin resistance through immunotherapy. Nat Med. 2009;15(8):921–9. 10.1038/nm.2001.
108. Winer DA, Winer S, Shen L, Wadia PP, Yantha J, Paltser G, et al. B cells promote insulin resistance through modulation of T cells and production of pathogenic IgG antibodies. Nat Med. 2011;17(5):610–7. 10.1038/nm.2353.
109. Liu J, Divoux A, Sun J, Zhang J, Clément K, Glickman JN, et al. Genetic deficiency and pharmacological stabilization of mast cells reduce diet-induced obesity and diabetes in mice. Nat Med. 2009;15(8):940–5. 10.1038/nm.1994.
110. Bertola A, Ciucci T, Rousseau D, Bourlier V, Duffaut C, Bonnafous S, et al. Identification of adipose tissue dendritic cells correlated with obesity-associated insulin-resistance and inducing Th17 responses in mice and patients. Diabetes. 2012;61(9):2238–47. 10.2337/db11-1274.
111. Wu D, Molofsky AB, Liang HE, Ricardo-Gonzalez RR, Jouihan HA, Bando JK, et al. Eosinophils sustain adipose alternatively activated macrophages associated with glucose homeostasis. Science. 2011;332(6026):243–7. 10.1126/science.1201475.
112. Singh RK, Kumar P, Mahalingam K. Molecular genetics of human obesity: a comprehensive review. C R Biol. 2017;340(2):87–108. 10.1016/j.crvi.2016.11.007.
113. Wu Y, Duan H, Tian X, Xu C, Wang W, Jiang W, et al. Genetics of obesity traits: a bivariate genome-wide association analysis. Front Genet. 2018;9: 179. 10.3389/fgene.2018.00179.
114. Thaker VV. Genetic and epigenetic causes of obesity. Adolesc Med State Art Rev. 2017;28(2):379–405.
115. Czajkowski P, Adamska-Patruno E, Bauer W, Fiedorczuk J, Krasowska U, Moroz M, et al. The impact of FTO genetic variants on obesity and its metabolic consequences is dependent on daily macronutrient intake. Nutrients. 2020;12(11): 3255. 10.3390/nu12113255.
116. Huvenne H, Dubern B, Clément K, Poitou C. Rare genetic forms of obesity: clinical approach and current treatments in 2016. Obes Facts. 2016;9(3):158–73. 10.1159/000445061.
117. Martins MC, Trujillo J, Freitas-Vilela AA, Farias DR, Rosado EL, Struchiner CJ, et al. Associations between obesity candidate gene polymorphisms (fat mass and obesity-associated (FTO), melanocortin-4 receptor (MC4R), leptin (LEP) and leptin receptor (LEPR)) and dietary intake in pregnant women. Br J Nutr. 2018;120(4):454–63. 10.1017/s0007114518001423.
118. D’Angelo CS, Koiffmann CP. Copy number variants in obesity-related syndromes: review and perspectives on novel molecular approaches. J Obes. 2012;2012: 845480. 10.1155/2012/845480.
119. Houde AA, Légaré C, Biron S, Lescelleur O, Biertho L, Marceau S, et al. Leptin and adiponectin DNA methylation levels in adipose tissues and blood cells are associated with BMI, waist girth and LDL-cholesterol levels in severely obese men and women. BMC Med Genet. 2015;16:29. 10.1186/s12881-015-0174-1.
120. Sherwood WB, Bion V, Lockett GA, Ziyab AH, Soto-Ramírez N, Mukherjee N, et al. Duration of breastfeeding is associated with leptin (LEP) DNA methylation profiles and BMI in 10-year-old children. Clin Epigenetics. 2019;11(1):128. 10.1186/s13148-019-0727-9.
121. Soubry A, Schildkraut JM, Murtha A, Wang F, Huang Z, Bernal A, et al. Paternal obesity is associated with IGF2 hypomethylation in newborns: results from a newborn epigenetics study (NEST) cohort. BMC Med. 2013;11: 29. 10.1186/1741-7015-11-29.
122. Jiang Y, Xun Y, Zhang Z. Central regulation of feeding and body weight by ciliary GPR75. J Clin Invest. 2024;134(19): e182121. 10.1172/jci182121.
123. Chávez M, Asthana A, Jackson PK. Ciliary localization of GPR75 promotes fat accumulation in mice. J Clin Invest. 2024;134(19): e185059. 10.1172/jci185059.
124. Liu T, Ji RL, Tao YX. Naturally occurring mutations in G protein-coupled receptors associated with obesity and type 2 diabetes mellitus. Pharmacol Ther. 2022;234: 108044. 10.1016/j.pharmthera.2021.108044.
125. Mendes de Oliveira E, Keogh JM, Talbot F, Henning E, Ahmed R, Perdikari A, et al. Obesity-associated GNAS mutations and the melanocortin pathway. N Engl J Med. 2021;385(17):1581–92. 10.1056/NEJMoa2103329.
126. Saeed S, Bonnefond A, Tamanini F, Mirza MU, Manzoor J, Janjua QM, et al. Loss-of-function mutations in ADCY3 cause monogenic severe obesity. Nat Genet. 2018;50(2):175–9. 10.1038/s41588-017-0023-6.
127. Lopomo A, Burgio E, Migliore L. Epigenetics of obesity. Prog Mol Biol Transl Sci. 2016;140:151–84. 10.1016/bs.pmbts.2016.02.002.
128. Ebert MBB, Mentzel CMJ, Brunse A, Krych L, Hansen CHF. Delayed gut colonization changes future insulin resistance and hepatic gene expression but not adiposity in obese mice. J Obes. 2024;2024: 5846674. 10.1155/2024/5846674.
129. Fan Y, Pedersen O. Gut microbiota in human metabolic health and disease. Nat Rev Microbiol. 2021;19(1):55–71. 10.1038/s41579-020-0433-9.
130. Ridaura VK, Faith JJ, Rey FE, Cheng J, Duncan AE, Kau AL, et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science. 2013;341(6150): 1241214. 10.1126/science.1241214.
131. Matenchuk BA, Mandhane PJ, Kozyrskyj AL. Sleep, circadian rhythm, and gut microbiota. Sleep Med Rev. 2020;53: 101340. 10.1016/j.smrv.2020.101340.
132. Thaiss CA, Zeevi D, Levy M, Zilberman-Schapira G, Suez J, Tengeler AC, et al. Transkingdom control of microbiota diurnal oscillations promotes metabolic homeostasis. Cell. 2014;159(3):514–29. 10.1016/j.cell.2014.09.048.
133. Wang Y, Kuang Z, Yu X, Ruhn KA, Kubo M, Hooper LV. The intestinal microbiota regulates body composition through NFIL3 and the circadian clock. Science. 2017;357(6354):912–6. 10.1126/science.aan0677.
134. Zarrinpar A, Chaix A, Yooseph S, Panda S. Diet and feeding pattern affect the diurnal dynamics of the gut microbiome. Cell Metab. 2014;20(6):1006–17. 10.1016/j.cmet.2014.11.008.
135. Leone V, Gibbons SM, Martinez K, Hutchison AL, Huang EY, Cham CM, et al. Effects of diurnal variation of gut microbes and high-fat feeding on host circadian clock function and metabolism. Cell Host Microbe. 2015;17(5):681–9. 10.1016/j.chom.2015.03.006.
136. Gao Z, Li Q, Wu X, Zhao X, Zhao L, Tong X. New insights into the mechanisms of Chinese herbal products on diabetes: a focus on the “bacteria-mucosal immunity-inflammation-diabetes” axis. J Immunol Res. 2017;2017:1813086. 10.1155/2017/1813086.
137. Armougom F, Henry M, Vialettes B, Raccah D, Raoult D. Monitoring bacterial community of human gut microbiota reveals an increase in Lactobacillus in obese patients and Methanogens in anorexic patients. PLoS ONE. 2009;4(9): e7125. 10.1371/journal.pone.0007125.
138. Santacruz A, Collado MC, García-Valdés L, Segura MT, Martín-Lagos JA, Anjos T, et al. Gut microbiota composition is associated with body weight, weight gain and biochemical parameters in pregnant women. Br J Nutr. 2010;104(1):83–92. 10.1017/s0007114510000176.
139. Collado MC, Isolauri E, Laitinen K, Salminen S. Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women. Am J Clin Nutr. 2008;88(4):894–9. 10.1093/ajcn/88.4.894.
140. Kalliomäki M, Collado MC, Salminen S, Isolauri E. Early differences in fecal microbiota composition in children may predict overweight. Am J Clin Nutr. 2008;87(3):534–8. 10.1093/ajcn/87.3.534.
141. Kozyrskyj AL, Kalu R, Koleva PT, Bridgman SL. Fetal programming of overweight through the microbiome: boys are disproportionately affected. J Dev Orig Health Dis. 2016;7(1):25–34. 10.1017/s2040174415001269.
142. Gaber M, Wilson AS, Millen AE, Hovey KM, LaMonte MJ, Wactawski-Wende J, et al. Visceral adiposity in postmenopausal women is associated with a pro-inflammatory gut microbiome and immunogenic metabolic endotoxemia. Microbiome. 2024;12(1):192. 10.1186/s40168-024-01901-1.
143. Fei N, Zhao L. An opportunistic pathogen isolated from the gut of an obese human causes obesity in germfree mice. Isme j. 2013;7(4):880–4. 10.1038/ismej.2012.153.
144. Sokol H, Pigneur B, Watterlot L, Lakhdari O, Bermúdez-Humarán LG, Gratadoux JJ, et al. Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients. Proc Natl Acad Sci U S A. 2008;105(43):16731–6. 10.1073/pnas.0804812105.
145. Thingholm LB, Rühlemann MC, Koch M, Fuqua B, Laucke G, Boehm R, et al. Obese Individuals with and without type 2 diabetes show different gut microbial functional capacity and composition. Cell Host Microbe. 2019;26(2):252-64.e10. 10.1016/j.chom.2019.07.004.
146. Everard A, Belzer C, Geurts L, Ouwerkerk JP, Druart C, Bindels LB, et al. Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proc Natl Acad Sci U S A. 2013;110(22):9066–71. 10.1073/pnas.1219451110.
147. Rahat-Rozenbloom S, Fernandes J, Gloor GB, Wolever TM. Evidence for greater production of colonic short-chain fatty acids in overweight than lean humans. Int J Obes (Lond). 2014;38(12):1525–31. 10.1038/ijo.2014.46.
148. Khan MJ, Gerasimidis K, Edwards CA, Shaikh MG. Role of gut microbiota in the aetiology of obesity: proposed mechanisms and review of the literature. J Obes. 2016;2016: 7353642. 10.1155/2016/7353642.
149. Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W, et al. Host-gut microbiota metabolic interactions. Science. 2012;336(6086):1262–7. 10.1126/science.1223813.
150. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1):4–14. 10.1016/j.diabres.2009.10.007.
151. Lu X, Xie Q, Pan X, Zhang R, Zhang X, Peng G, et al. Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy. Signal Transduct Target Ther. 2024;9(1):262. 10.1038/s41392-024-01951-9.
152. Yaikwawong M, Jansarikit L, Jirawatnotai S, Chuengsamarn S. Curcumin extract improves beta cell functions in obese patients with type 2 diabetes: a randomized controlled trial. Nutr J. 2024;23(1):119. 10.1186/s12937-024-01022-3.
153. Ruze R, Liu T, Zou X, Song J, Chen Y, Xu R, et al. Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Front Endocrinol (Lausanne). 2023;14: 1161521. 10.3389/fendo.2023.1161521.
154. Longo M, Zatterale F, Naderi J, Parrillo L, Formisano P, Raciti GA, et al. Adipose tissue dysfunction as determinant of obesity-associated metabolic complications. Int J Mol Sci. 2019;20(9): 2358. 10.3390/ijms20092358.
155. Palmer AK, Xu M, Zhu Y, Pirtskhalava T, Weivoda MM, Hachfeld CM, et al. Targeting senescent cells alleviates obesity-induced metabolic dysfunction. Aging Cell. 2019;18(3): e12950. 10.1111/acel.12950.
156. Gustafson B, Nerstedt A, Spinelli R, Beguinot F, Smith U. Type 2 diabetes, independent of obesity and age, is characterized by senescent and dysfunctional mature human adipose cells. Diabetes. 2022;71(11):2372–83. 10.2337/db22-0003.
157. Desiderio A, Pastorino M, Campitelli M, Prevenzano I, De Palma FDE, Spinelli R, et al. Hypomethylation at PANDAR promoter progressively induces senescence in adipocyte precursor cells in subjects with obesity and type 2 diabetes. FASEB J. 2024;38(19): e70093. 10.1096/fj.202401470R.
158. Malone JI, Hansen BC. Does obesity cause type 2 diabetes mellitus (T2DM)? Or is it the opposite? Pediatr Diabetes. 2019;20(1):5–9. 10.1111/pedi.12787.
159. Jiang M, Ren X, Han L, Zheng X. Associations between sarcopenic obesity and risk of cardiovascular disease: a population-based cohort study among middle-aged and older adults using the CHARLS. Clin Nutr. 2024;43(3):796–802. 10.1016/j.clnu.2024.02.002.
160. Ye J, Hu Y, Chen X, Yin Z, Yuan X, Huang L, et al. Association between the weight-adjusted waist index and stroke: a cross-sectional study. BMC Public Health. 2023;23(1):1689. 10.1186/s12889-023-16621-8.
161. Rahmani J, Haghighian Roudsari A, Bawadi H, Thompson J, Khalooei Fard R, Clark C, et al. Relationship between body mass index, risk of venous thromboembolism and pulmonary embolism: a systematic review and dose-response meta-analysis of cohort studies among four million participants. Thromb Res. 2020;192:64–72. 10.1016/j.thromres.2020.05.014.
162. Ayinapudi K, Singh T, Motwani A, Le Jemtel TH, Oparil S. Obesity and pulmonary hypertension. Curr Hypertens Rep. 2018;20(12):99. 10.1007/s11906-018-0899-2.
163. Lind L, Markstad H, Ahlström H, Angerås O, Brandberg J, Brunström M, et al. Obesity is associated with coronary artery stenosis independently of metabolic risk factors: the population-based SCAPIS study. Atherosclerosis. 2022;362:1–10. 10.1016/j.atherosclerosis.2022.10.007.
164. Aryee EK, Ozkan B, Ndumele CE. Heart failure and obesity: the latest pandemic. Prog Cardiovasc Dis. 2023;78:43–8. 10.1016/j.pcad.2023.05.003.
165. Remme CA. Sudden cardiac death in diabetes and obesity: mechanisms and therapeutic strategies. Can J Cardiol. 2022;38(4):418–26. 10.1016/j.cjca.2022.01.001.
166. Parish D. Obesity and the risk of new-onset atrial fibrillation. JAMA. 2005;293(16):1974; author reply 5. 10.1001/jama.293.16.1974-b.
167. Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol. 2009;53(21):1925–32. 10.1016/j.jacc.2008.12.068.
168. McGill HC Jr, McMahan CA, Herderick EE, Zieske AW, Malcom GT, Tracy RE, et al. Obesity accelerates the progression of coronary atherosclerosis in young men. Circulation. 2002;105(23):2712–8. 10.1161/01.cir.0000018121.67607.ce.
169. Couillard C, Ruel G, Archer WR, Pomerleau S, Bergeron J, Couture P, et al. Circulating levels of oxidative stress markers and endothelial adhesion molecules in men with abdominal obesity. J Clin Endocrinol Metab. 2005;90(12):6454–9. 10.1210/jc.2004-2438.
170. Engin A. Endothelial dysfunction in obesity. Adv Exp Med Biol. 2017;960:345–79. 10.1007/978-3-319-48382-5_15.
171. Bogers RP, Bemelmans WJ, Hoogenveen RT, Boshuizen HC, Woodward M, Knekt P, et al. Association of overweight with increased risk of coronary heart disease partly independent of blood pressure and cholesterol levels: a meta-analysis of 21 cohort studies including more than 300 000 persons. Arch Intern Med. 2007;167(16):1720–8. 10.1001/archinte.167.16.1720.
172. Din-Dzietham R, Liu Y, Bielo MV, Shamsa F. High blood pressure trends in children and adolescents in national surveys, 1963 to 2002. Circulation. 2007;116(13):1488–96. 10.1161/circulationaha.106.683243.
173. Farrehi PM, Bernstein SJ, Rasak M, Dabbous SA, Stomel RJ, Eagle KA, et al. Frequency of negative coronary arteriographic findings in patients with chest pain is related to community practice patterns. Am J Manag Care. 2002;8(7):643–8.
174. Jespersen L, Abildstrom SZ, Hvelplund A, Madsen JK, Galatius S, Pedersen F, et al. Burden of hospital admission and repeat angiography in angina pectoris patients with and without coronary artery disease: a registry-based cohort study. PLoS One. 2014;9(4): e93170. 10.1371/journal.pone.0093170.
175. Jespersen L, Hvelplund A, Abildstrøm SZ, Pedersen F, Galatius S, Madsen JK, et al. Stable angina pectoris with no obstructive coronary artery disease is associated with increased risks of major adverse cardiovascular events. Eur Heart J. 2012;33(6):734–44. 10.1093/eurheartj/ehr331.
176. Vatsa N, Dave E, Higgins M, Huang J, Desai SR, Gold DA, et al. Patients with nonobstructive coronary artery disease and chest pain: impact of obesity and depressive symptoms. J Am Heart Assoc. 2024;13(19): e031429. 10.1161/jaha.123.031429.
177. Karason K, Lindroos AK, Stenlöf K, Sjöström L. Relief of cardiorespiratory symptoms and increased physical activity after surgically induced weight loss: results from the Swedish obese subjects study. Arch Intern Med. 2000;160(12):1797–802. 10.1001/archinte.160.12.1797.
178. Bagi Z, Broskova Z, Feher A. Obesity and coronary microvascular disease - implications for adipose tissue-mediated remote inflammatory response. Curr Vasc Pharmacol. 2014;12(3):453–61. 10.2174/1570161112666140423221843.
179. Lim PO. Angina with coronary microvascular dysfunction and its physiological assessment: a review with cases. Br J Cardiol. 2022;29(2): 13. 10.5837/bjc.2022.013.
180. Zhou Y, Xie Y, Dong J, He K. Associations between metabolic overweight/obesity phenotypes and mortality risk among patients with chronic heart failure. Front Endocrinol (Lausanne). 2024;15: 1445395. 10.3389/fendo.2024.1445395.
181. Tedrow UB, Conen D, Ridker PM, Cook NR, Koplan BA, Manson JE, et al. The long- and short-term impact of elevated body mass index on the risk of new atrial fibrillation the WHS (women’s health study). J Am Coll Cardiol. 2010;55(21):2319–27. 10.1016/j.jacc.2010.02.029.
182. Di Salvo G, Pacileo G, Del Giudice EM, Natale F, Limongelli G, Verrengia M, et al. Atrial myocardial deformation properties in obese nonhypertensive children. J Am Soc Echocardiogr. 2008;21(2):151–6. 10.1016/j.echo.2007.05.028.
183. Zlochiver S, Muñoz V, Vikstrom KL, Taffet SM, Berenfeld O, Jalife J. Electrotonic myofibroblast-to-myocyte coupling increases propensity to reentrant arrhythmias in two-dimensional cardiac monolayers. Biophys J. 2008;95(9):4469–80. 10.1529/biophysj.108.136473.
184. Eckstein J, Zeemering S, Linz D, Maesen B, Verheule S, van Hunnik A, et al. Transmural conduction is the predominant mechanism of breakthrough during atrial fibrillation: evidence from simultaneous endo-epicardial high-density activation mapping. Circ Arrhythm Electrophysiol. 2013;6(2):334–41. 10.1161/circep.113.000342.
185. Chalasani N, Younossi Z, Lavine JE, Diehl AM, Brunt EM, Cusi K, et al. The diagnosis and management of non-alcoholic fatty liver disease: practice guideline by the American Gastroenterological Association, American Association for the Study of Liver Diseases, and American College of Gastroenterology. Gastroenterology. 2012;142(7):1592–609. 10.1053/j.gastro.2012.04.001.
186. Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018;15(1):11–20. 10.1038/nrgastro.2017.109.
187. Eslam M, Newsome PN, Sarin SK, Anstee QM, Targher G, Romero-Gomez M, et al. A new definition for metabolic dysfunction-associated fatty liver disease: an international expert consensus statement. J Hepatol. 2020;73(1):202–9. 10.1016/j.jhep.2020.03.039.
188. Gutiérrez-Cuevas J, Santos A, Armendariz-Borunda J. Pathophysiological molecular mechanisms of obesity: a link between MAFLD and NASH with cardiovascular diseases. Int J Mol Sci. 2021;22(21): 11629. 10.3390/ijms222111629.
189. Momo FR, Hoque MR, Sarkar S, Faysal MR, Mitu SA, Suchi SS. Comparison of serum alanine aminotransferase and aspartate aminotransferase among obese and non-obese adults. Mymensingh Med J. 2024;33(4):955–61.
190. Schmidt-Christensen A, Eriksson G, Laprade WM, Pirzamanbein B, Hörnberg M, Linde K, et al. Structure-function analysis of time-resolved immunological phases in metabolic dysfunction-associated fatty liver disease (MASH) comparing the NIF mouse model to human MASH. Sci Rep. 2024;14(1):23014. 10.1038/s41598-024-73150-z.
191. Yip TC, Lyu F, Lin H, Li G, Yuen PC, Wong VW, et al. Non-invasive biomarkers for liver inflammation in non-alcoholic fatty liver disease: present and future. Clin Mol Hepatol. 2023;29(Suppl):S171–83. 10.3350/cmh.2022.0426.
192. Saltiel AR, Olefsky JM. Inflammatory mechanisms linking obesity and metabolic disease. J Clin Invest. 2017;127(1):1–4. 10.1172/jci92035.
193. Türk Y, Witte JA, van Huisstede A, Melgert BN, van Schadewijk A, Taube C, et al. Visceral adipose tissue: A relevant inflammatory compartment in obesity-related asthma? Clin Exp Allergy. 2023;53(12):1295–7. 10.1111/cea.14395.
194. Dixon AE, Peters U. The effect of obesity on lung function. Expert Rev Respir Med. 2018;12(9):755–67. 10.1080/17476348.2018.1506331.
195. Bonsignore MR. Obesity and obstructive sleep apnea. Handb Exp Pharmacol. 2022;274:181–201. 10.1007/164_2021_558.
196. Sands SA, Alex RM, Mann D, Vena D, Terrill PI, Gell LK, et al. Pathophysiology underlying demographic and obesity determinants of sleep apnea severity. Ann Am Thorac Soc. 2023;20(3):440–9. 10.1513/AnnalsATS.202203-271OC.
197. Wang SH, Keenan BT, Wiemken A, Zang Y, Staley B, Sarwer DB, et al. Effect of weight loss on upper airway anatomy and the apnea-hypopnea index. The importance of tongue fat. Am J Respir Crit Care Med. 2020;201(6):718–27. 10.1164/rccm.201903-0692OC.
198. Abdeyrim A, Zhang Y, Li N, Zhao M, Wang Y, Yao X, et al. Impact of obstructive sleep apnea on lung volumes and mechanical properties of the respiratory system in overweight and obese individuals. BMC Pulm Med. 2015;15:76. 10.1186/s12890-015-0063-6.
199. Lin T, Mao H, Huang S, Xie Z, Xu Z. Association between asthma and visceral adipose tissue in adults, a cross-sectional study from NHANES 2011–2018. Sci Rep. 2024;14(1):23217. 10.1038/s41598-024-74297-5.
200. Xiao P, Li C, Wu J, Dai J. Unravel the distinct effects of adiposity at different life stages on COVID-19 susceptibility and severity: a life-course Mendelian randomization study. J Med Virol. 2024;96(10): e29943. 10.1002/jmv.29943.
201. Wang Y, Chen X, Song Y, Caballero B, Cheskin LJ. Association between obesity and kidney disease: a systematic review and meta-analysis. Kidney Int. 2008;73(1):19–33. 10.1038/sj.ki.5002586.
202. Hu R, Quan S, Wang Y, Zhou Y, Zhang Y, Liu L, et al. Spectrum of biopsy proven renal diseases in Central China: a 10-year retrospective study based on 34,630 cases. Sci Rep. 2020;10(1):10994. 10.1038/s41598-020-67910-w.
203. Kalantar-Zadeh K, Kopple JD. Body mass index and risk for end-stage renal disease. Ann Intern Med. 2006;144(9):701; author reply-2. 10.7326/0003-4819-144-9-200605020-00021.
204. Ren L, Ju F, Liu S, Cai Y, Gang X, Wang G. New perspectives on obesity-associated nephropathy from pathophysiology to therapeutics: revealing the promise of GLP-1 RA therapy. Drug Des Devel Ther. 2024;18:4257–72. 10.2147/dddt.S476815.
205. Izquierdo-Lahuerta A, Martínez-García C, Medina-Gómez G. Lipotoxicity as a trigger factor of renal disease. J Nephrol. 2016;29(5):603–10. 10.1007/s40620-016-0278-5.
206. Lieben L. Diabetic nephropathy: lipid toxicity drives renal disease. Nat Rev Nephrol. 2017;13(4):194. 10.1038/nrneph.2017.22.
207. Kjaergaard AD, Teumer A, Witte DR, Stanzick KJ, Winkler TW, Burgess S, et al. Obesity and kidney function: a two-sample Mendelian randomization study. Clin Chem. 2022;68(3):461–72. 10.1093/clinchem/hvab249.
208. D’Agati VD, Chagnac A, de Vries AP, Levi M, Porrini E, Herman-Edelstein M, et al. Obesity-related glomerulopathy: clinical and pathologic characteristics and pathogenesis. Nat Rev Nephrol. 2016;12(8):453–71. 10.1038/nrneph.2016.75.
209. Kim SS, Song SH, Kim IJ, Jeon YK, Kim BH, Kwak IS, et al. Urinary cystatin C and tubular proteinuria predict progression of diabetic nephropathy. Diabetes Care. 2013;36(3):656–61. 10.2337/dc12-0849.
210. Rysz J, Gluba-Brzózka A, Franczyk B, Jabłonowski Z, Ciałkowska-Rysz A. Novel biomarkers in the diagnosis of chronic kidney disease and the prediction of its outcome. Int J Mol Sci. 2017;18(8): 1702. 10.3390/ijms18081702.
211. Ran Z, Xue X, Han L, Terkeltaub R, Merriman TR, Zhao T, et al. Decrease in serum urate level is associated with loss of visceral fat in male gout patients. Front Endocrinol (Lausanne). 2021;12: 724822. 10.3389/fendo.2021.724822.
212. Dalbeth N, Gosling AL, Gaffo A, Abhishek A. Gout. Lancet. 2021;397(10287):1843–55. 10.1016/s0140-6736(21)00569-9.
213. Chachi EM, Moukal A, Aghrouch M, Farouqi AE, Kaaya A. The status of vitamin D in obese adults in Southern Morocco: a cross-sectional study. Clin Lab. 2024;70(10). 10.7754/Clin.Lab.2024.240216.
214. Walsh JS, Bowles S, Evans AL. Vitamin D in obesity. Curr Opin Endocrinol Diabetes Obes. 2017;24(6):389–94. 10.1097/med.0000000000000371.
215. Vranić L, Mikolašević I, Milić S. Vitamin D deficiency: consequence or cause of obesity? Medicina (Kaunas). 2019;55(9). 10.3390/medicina55090541.
216. Wortsman J, Matsuoka LY, Chen TC, Lu Z, Holick MF. Decreased bioavailability of vitamin D in obesity. Am J Clin Nutr. 2000;72(3):690–3. 10.1093/ajcn/72.3.690.
217. Devlin MJ, Rosen CJ. The bone-fat interface: basic and clinical implications of marrow adiposity. Lancet Diabetes Endocrinol. 2015;3(2):141–7. 10.1016/s2213-8587(14)70007-5.
218. Zhao P, Xu A, Leung WK. Obesity, bone loss, and periodontitis: the interlink. Biomolecules. 2022;12(7): 865. 10.3390/biom12070865.
219. Zhou S, Luo N, Si H, Da W, Liu Y, Wu L, et al. Association between dynapenic abdominal obesity and arthritis among the middle-aged and older Chinese: a longitudinal study. Aging Clin Exp Res. 2024;36(1):198. 10.1007/s40520-024-02847-y.
220. Arnold M, Pandeya N, Byrnes G, Renehan PAG, Stevens GA, Ezzati PM, et al. Global burden of cancer attributable to high body-mass index in 2012: a population-based study. Lancet Oncol. 2015;16(1):36–46. 10.1016/s1470-2045(14)71123-4.
221. Avgerinos KI, Spyrou N, Mantzoros CS, Dalamaga M. Obesity and cancer risk: emerging biological mechanisms and perspectives. Metabolism. 2019;92:121–35. 10.1016/j.metabol.2018.11.001.
222. Setiawan VW, Yang HP, Pike MC, McCann SE, Yu H, Xiang YB, et al. Type I and II endometrial cancers: have they different risk factors? J Clin Oncol. 2013;31(20):2607–18. 10.1200/jco.2012.48.2596.
223. Mauland KK, Eng Ø, Ytre-Hauge S, Tangen IL, Berg A, Salvesen HB, et al. High visceral fat percentage is associated with poor outcome in endometrial cancer. Oncotarget. 2017;8(62):105184–95. 10.18632/oncotarget.21917.
224. Schlottmann F, Dreifuss NH, Patti MG. Obesity and esophageal cancer: GERD, Barrett’s esophagus, and molecular carcinogenic pathways. Expert Rev Gastroenterol Hepatol. 2020;14(6):425–33. 10.1080/17474124.2020.1764348.
225. Liu X, Sun Q, Hou H, Zhu K, Wang Q, Liu H, et al. The association between BMI and kidney cancer risk: an updated dose-response meta-analysis in accordance with PRISMA guideline. Medicine (Baltimore). 2018;97(44): e12860. 10.1097/md.0000000000012860.
226. Incio J, Liu H, Suboj P, Chin SM, Chen IX, Pinter M, et al. Obesity-induced inflammation and desmoplasia promote pancreatic cancer progression and resistance to chemotherapy. Cancer Discov. 2016;6(8):852–69. 10.1158/2159-8290.Cd-15-1177.
227. Pellegata NS, Berriel Diaz M, Rohm M, Herzig S. Obesity and cancer-extracellular matrix, angiogenesis, and adrenergic signaling as unusual suspects linking the two diseases. Cancer Metastasis Rev. 2022;41(3):517–47. 10.1007/s10555-022-10058-y.
228. Olefson S, Moss SF. Obesity and related risk factors in gastric cardia adenocarcinoma. Gastric Cancer. 2015;18(1):23–32. 10.1007/s10120-014-0425-4.
229. Khazanchi R, Nandoliya KR, Shahin MN, Rae AI, Chaliparambil RK, Bowden SG, et al. Obesity and meningioma: a US population-based study paired with analysis of a multi-institutional cohort. J Neurosurg. 2024;140(6):1558–67. 10.3171/2023.11.Jns23732.
230. Tentolouris A, Ntanasis-Stathopoulos I, Terpos E. Obesity and multiple myeloma: emerging mechanisms and perspectives. Semin Cancer Biol. 2023;92:45–60. 10.1016/j.semcancer.2023.04.003.
231. Söderberg KC, Kaprio J, Verkasalo PK, Pukkala E, Koskenvuo M, Lundqvist E, et al. Overweight, obesity and risk of haematological malignancies: a cohort study of Swedish and Finnish twins. Eur J Cancer. 2009;45(7):1232–8. 10.1016/j.ejca.2008.11.004.
232. Thordardottir M, Lindqvist EK, Lund SH, Costello R, Burton D, Korde N, et al. Obesity and risk of monoclonal gammopathy of undetermined significance and progression to multiple myeloma: a population-based study. Blood Adv. 2017;1(24):2186–92. 10.1182/bloodadvances.2017007609.
233. Bull CJ, Bell JA, Murphy N, Sanderson E, Davey Smith G, Timpson NJ, et al. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study. BMC Med. 2020;18(1):396. 10.1186/s12916-020-01855-9.
234. Munsell MF, Sprague BL, Berry DA, Chisholm G, Trentham-Dietz A. Body mass index and breast cancer risk according to postmenopausal estrogen-progestin use and hormone receptor status. Epidemiol Rev. 2014;36(1):114–36. 10.1093/epirev/mxt010.
235. Sung H, Siegel RL, Torre LA, Pearson-Stuttard J, Islami F, Fedewa SA, et al. Global patterns in excess body weight and the associated cancer burden. CA Cancer J Clin. 2019;69(2):88–112. 10.3322/caac.21499.
236. Shin A, Cho S, Jang D, Abe SK, Saito E, Rahman MS, et al. Body mass index and thyroid cancer risk: a pooled analysis of half a million men and women in the Asia Cohort Consortium. Thyroid. 2022;32(3):306–14. 10.1089/thy.2021.0445.
237. Li C, Zhang J, Dionigi G, Liang N, Guan H, Sun H. Uncovering the connection between obesity and thyroid cancer: the therapeutic potential of adiponectin receptor agonist in the AdipoR2-ULK axis. Cell Death Dis. 2024;15(9):708. 10.1038/s41419-024-07084-9.
238. Li C, Dionigi G, Liang N, Guan H, Sun H. The relationship between body mass index and different regional patterns of lymph node involvement in papillary thyroid cancers. Front Oncol. 2021;11: 767245. 10.3389/fonc.2021.767245.
239. Sun K, Xie Y, Zhao N, Li Z. A case-control study of the relationship between visceral fat and development of uterine fibroids. Exp Ther Med. 2019;18(1):404–10. 10.3892/etm.2019.7575.
240. Vancampfort D, Correll CU, Galling B, Probst M, De Hert M, Ward PB, et al. Diabetes mellitus in people with schizophrenia, bipolar disorder and major depressive disorder: a systematic review and large scale meta-analysis. World Psychiatry. 2016;15(2):166–74. 10.1002/wps.20309.
241. Dębski J, Przybyłowski J, Skibiak K, Czerwińska M, Walędziak M, Różańska-Walędziak A. Depression and obesity-do we know everything about It? A narrative review. Nutrients. 2024;16(19): 3383. 10.3390/nu16193383.
242. Lopresti AL, Drummond PD. Obesity and psychiatric disorders: commonalities in dysregulated biological pathways and their implications for treatment. Prog Neuropsychopharmacol Biol Psychiatry. 2013;45:92–9. 10.1016/j.pnpbp.2013.05.005.
243. Wang S, Sun Q, Zhai L, Bai Y, Wei W, Jia L. The prevalence of depression and anxiety symptoms among overweight/obese and non-overweight/non-obese children/adolescents in China: a systematic review and meta-analysis. Int J Environ Res Public Health. 2019;16(3): 340. 10.3390/ijerph16030340.
244. Griffiths A, Shannon OM, Brown T, Davison M, Swann C, Jones A, et al. Associations between anxiety, depression, and weight status during and after pregnancy: a systematic review and meta-analysis. Obes Rev. 2024;25(3): e13668. 10.1111/obr.13668.
245. Peng S, Fang Y, Othman AT, Liang J. Meta-analysis and systematic review of physical activity on neurodevelopment disorders, depression, and obesity among children and adolescents. Front Psychol. 2022;13: 940977. 10.3389/fpsyg.2022.940977.
246. Giel KE, Bulik CM, Fernandez-Aranda F, Hay P, Keski-Rahkonen A, Schag K, et al. Binge eating disorder. Nat Rev Dis Primers. 2022;8(1):16. 10.1038/s41572-022-00344-y.
247. Zebi L, Barbi M, Toshi D, Pastorino L, Menculini G, Raspa V, et al. Impulsivity and anger in obese patients undergoing bariatric surgery. Psychiatr Danub. 2024;36(Suppl 2):281–7.
248. Fulton S, Décarie-Spain L, Fioramonti X, Guiard B, Nakajima S. The menace of obesity to depression and anxiety prevalence. Trends Endocrinol Metab. 2022;33(1):18–35. 10.1016/j.tem.2021.10.005.
249. Kalarchian MA, Marcus MD, Levine MD, Courcoulas AP, Pilkonis PA, Ringham RM, et al. Psychiatric disorders among bariatric surgery candidates: relationship to obesity and functional health status. Am J Psychiatry. 2007;164(2):328–34; quiz 74. 10.1176/ajp.2007.164.2.328.
250. Shirvanifar M, Ahlqvist VH, Lundberg M, Kosidou K, Herraiz-Adillo Á, Berglind D, et al. Adverse pregnancy outcomes attributable to overweight and obesity across maternal birth regions: a Swedish population-based cohort study. Lancet Public Health. 2024;9(10):e776–86. 10.1016/s2468-2667(24)00188-9.
251. Kluge L, Källén K, Thurin-Kjellberg A, Wennerholm UB, Bergh C. The association between body mass index and live birth and maternal and perinatal outcomes after in-vitro fertilization: a national cohort study. Front Endocrinol (Lausanne). 2023;14: 1239702. 10.3389/fendo.2023.1239702.
252. Rafael F, Rodrigues MD, Bellver J, Canelas-Pais M, Garrido N, Garcia-Velasco JA, et al. The combined effect of BMI and age on ART outcomes. Hum Reprod. 2023;38(5):886–94. 10.1093/humrep/dead042.
253. Broughton DE, Moley KH. Obesity and female infertility: potential mediators of obesity’s impact. Fertil Steril. 2017;107(4):840–7. 10.1016/j.fertnstert.2017.01.017.
254. Li YL, Yan EQ, Zhao GN, Jin L, Ma BX. Effect of body mass index on ovarian reserve and ART outcomes in infertile women: a large retrospective study. J Ovarian Res. 2024;17(1):195. 10.1186/s13048-024-01521-1.
255. Taylor EJ, Ziauddeen N, Berrington A, Godfrey KM, Alwan NA. Quantifying the effect of interpregnancy maternal weight and smoking status changes on childhood overweight and obesity in a UK population-based cohort. PLoS ONE. 2024;19(10): e0311677. 10.1371/journal.pone.0311677.
256. Li B, Jin Y, Zhang B, Lu T, Li J, Zhang J, et al. Adipose tissue-derived extracellular vesicles aggravate temporomandibular joint osteoarthritis associated with obesity. Clin Transl Med. 2024;14(10): e70029. 10.1002/ctm2.70029.
257. Angadi S, Bhrugumalla S, Siddegowda RN, Giri S, Chopade BR, Chaudhari V, et al. Visceral adipose tissue for predicting severe acute pancreatitis. Indian J Med Res. 2024;159(5):494–501. 10.25259/ijmr_769_22.
258. Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2014;129(25 Suppl 2):S102–38. 10.1161/01.cir.0000437739.71477.ee.
259. Mayr HL, Itsiopoulos C, Tierney AC, Ruiz-Canela M, Hebert JR, Shivappa N, et al. Improvement in dietary inflammatory index score after 6-month dietary intervention is associated with reduction in interleukin-6 in patients with coronary heart disease: the AUSMED heart trial. Nutr Res. 2018;55:108–21. 10.1016/j.nutres.2018.04.007.
260. Ullah R, Xue C, Wang S, Qin Z, Rauf N, Zhan S, et al. Alternate-day fasting delays pubertal development in normal-weight mice but prevents high-fat diet-induced obesity and precocious puberty. Nutr Diabetes. 2024;14(1):82. 10.1038/s41387-024-00335-w.
261. Selen H, Küșümler AS, Karakan T, Moral K. Effect of Ramadan fasting on intestinal microbiota and fatty acid binding protein 4 in overweight and obese individuals. J Gastrointestin Liver Dis. 2024;33(3):330–8. 10.15403/jgld-5559.
262. Toğuç H, Yılmaz H, Yaprak B. The effect of diets with different inflammatory scores on inflammation and sleep in obese subjects: a randomized controlled trial. Rev Assoc Med Bras (1992). 2024;70(10):e20240588. 10.1590/1806-9282.20240588.
263. Xian J, Ren T, Kuang M. Influence of eating while watching TV on food preference and overweight/obesity among adolescents in China: a longitudinal study. Front Public Health. 2024;12: 1423383. 10.3389/fpubh.2024.1423383.
264. Jang H, Cho Y, Oh H. Recreational screen time and obesity risk in Korean children: a 3-year prospective cohort study. Int J Behav Nutr Phys Act. 2024;21(1):112. 10.1186/s12966-024-01660-0.
265. Porri D, Luppino G, Aversa T, Corica D, Valenzise M, Messina MF, et al. Preventing and treating childhood obesity by sleeping better: a systematic review. Front Endocrinol (Lausanne). 2024;15: 1426021. 10.3389/fendo.2024.1426021.
266. Cicek G, Ozcan O, Akyol P, Isik O, Novak D, Küçük H. The effect of aerobic and high-intensity interval training on plasma pentraxin 3 and lipid parameters in overweight and obese women. PeerJ. 2024;12: e18123. 10.7717/peerj.18123.
267. Strohacker K, Carpenter KC, McFarlin BK. Consequences of weight cycling: an increase in disease risk? Int J Exerc Sci. 2009;2(3):191–201.
268. Simonds SE, Pryor JT, Cowley MA. Repeated weight cycling in obese mice causes increased appetite and glucose intolerance. Physiol Behav. 2018;194:184–90. 10.1016/j.physbeh.2018.05.026.
269. Oliveira A, Alfouzan N, Yu J, Yahya A, Lammy K, Wright ML, et al. Feasibility and acceptability pilot study of an online weight loss program in rural, underserved communities. PeerJ. 2024;12: e18268. 10.7717/peerj.18268.
270. Unick JL, Hogan PE, Neiberg RH, Cheskin LJ, Dutton GR, Evans-Hudnall G, et al. Evaluation of early weight loss thresholds for identifying nonresponders to an intensive lifestyle intervention. Obesity (Silver Spring). 2014;22(7):1608–16. 10.1002/oby.20777.
271. Christian JG, Tsai AG, Bessesen DH. Interpreting weight losses from lifestyle modification trials: using categorical data. Int J Obes (Lond). 2010;34(1):207–9. 10.1038/ijo.2009.213.
272. Venditti EM, Bray GA, Carrion-Petersen ML, Delahanty LM, Edelstein SL, Hamman RF, et al. First versus repeat treatment with a lifestyle intervention program: attendance and weight loss outcomes. Int J Obes (Lond). 2008;32(10):1537–44. 10.1038/ijo.2008.134.
273. Wadden TA, Webb VL, Moran CH, Bailer BA. Lifestyle modification for obesity: new developments in diet, physical activity, and behavior therapy. Circulation. 2012;125(9):1157–70. 10.1161/circulationaha.111.039453.
274. Wadden TA, Tronieri JS, Butryn ML. Lifestyle modification approaches for the treatment of obesity in adults. Am Psychol. 2020;75(2):235–51. 10.1037/amp0000517.
275. Burgess E, Hassmén P, Pumpa KL. Determinants of adherence to lifestyle intervention in adults with obesity: a systematic review. Clin Obes. 2017;7(3):123–35. 10.1111/cob.12183.
276. Hu C. Grants supporting research in China. Eur Heart J. 2018;39(25):2342–4. 10.1093/eurheartj/ehy293.
277. Srivastava G, Apovian CM. Current pharmacotherapy for obesity. Nat Rev Endocrinol. 2018;14(1):12–24. 10.1038/nrendo.2017.122.
278. Jastreboff AM, Kushner RF. New frontiers in obesity treatment: GLP-1 and nascent nutrient-stimulated hormone-based therapeutics. Annu Rev Med. 2023;74:125–39. 10.1146/annurev-med-043021-014919.
279. Alhomoud IS, Talasaz AH, Chandrasekaran P, Brown R, Mehta A, Dixon DL. Incretin hormone agonists: Current and emerging pharmacotherapy for obesity management. Pharmacotherapy. 2024;44(9):738–52. 10.1002/phar.4607.
280. Rameshrad M, Razavi BM, Lalau JD, De Broe ME, Hosseinzadeh H. An overview of glucagon-like peptide-1 receptor agonists for the treatment of metabolic syndrome: a drug repositioning. Iran J Basic Med Sci. 2020;23(5):556–68. 10.22038/ijbms.2020.41638.9832.
281. Stonehouse A, Okerson T, Kendall D, Maggs D. Emerging incretin based therapies for type 2 diabetes: incretin mimetics and DPP-4 inhibitors. Curr Diabetes Rev. 2008;4(2):101–9. 10.2174/157339908784220705.
282. Gupta NA, Kolachala VL, Jiang R, Abramowsky C, Romero R, Fifadara N, et al. The glucagon-like peptide-1 receptor agonist Exendin 4 has a protective role in ischemic injury of lean and steatotic liver by inhibiting cell death and stimulating lipolysis. Am J Pathol. 2012;181(5):1693–701. 10.1016/j.ajpath.2012.07.015.
283. Kadouh H, Chedid V, Halawi H, Burton DD, Clark MM, Khemani D, et al. GLP-1 analog modulates appetite, taste preference, gut hormones, and regional body fat stores in adults with obesity. J Clin Endocrinol Metab. 2020;105(5):1552–63. 10.1210/clinem/dgz140.
284. Patel VJ, Joharapurkar AA, Shah GB, Jain MR. Effect of GLP-1 based therapies on diabetic dyslipidemia. Curr Diabetes Rev. 2014;10(4):238–50. 10.2174/1573399810666140707092506.
285. Iepsen EW, Torekov SS, Holst JJ. Liraglutide for type 2 diabetes and obesity: a 2015 update. Expert Rev Cardiovasc Ther. 2015;13(7):753–67. 10.1586/14779072.2015.1054810.
286. Jebeile H, Kelly AS, O’Malley G, Baur LA. Obesity in children and adolescents: epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol. 2022;10(5):351–65. 10.1016/s2213-8587(22)00047-x.
287. Jensterle M, Rizzo M, Haluzík M, Janež A. Efficacy of GLP-1 RA approved for weight management in patients with or without diabetes: a narrative review. Adv Ther. 2022;39(6):2452–67. 10.1007/s12325-022-02153-x.
288. Ansari HUH, Qazi SU, Sajid F, Altaf Z, Ghazanfar S, Naveed N, et al. Efficacy and safety of glucagon-like peptide-1 receptor agonists on body weight and cardiometabolic parameters in individuals with obesity and without diabetes: a systematic review and meta-analysis. Endocr Pract. 2024;30(2):160–71. 10.1016/j.eprac.2023.11.007.
289. Huang YN, Liao WL, Huang JY, Lin YJ, Yang SF, Huang CC, et al. Long-term safety and efficacy of glucagon-like peptide-1 receptor agonists in individuals with obesity and without type 2 diabetes: a global retrospective cohort study. Diabetes Obes Metab. 2024;26(11):5222–32. 10.1111/dom.15869.
290. Brandt SJ, Götz A, Tschöp MH, Müller TD. Gut hormone polyagonists for the treatment of type 2 diabetes. Peptides. 2018;100:190–201. 10.1016/j.peptides.2017.12.021.
291. Venniyoor A. Tirzepatide once weekly for the treatment of obesity. N Engl J Med. 2022;387(15):1433–4. 10.1056/NEJMc2211120.
292. Jastreboff AM, Kaplan LM, Frías JP, Wu Q, Du Y, Gurbuz S, et al. Triple-hormone-receptor agonist retatrutide for obesity - a phase 2 trial. N Engl J Med. 2023;389(6):514–26. 10.1056/NEJMoa2301972.
293. Di Vincenzo A, Crescenzi M, Granzotto M, Vecchiato M, Fioretto P, Vettor R, et al. Treatment with dapagliflozin increases FGF-21 gene expression and reduces triglycerides content in myocardial tissue of genetically obese mice. J Endocrinol Invest. 2024;47(7):1777–86. 10.1007/s40618-023-02273-3.
294. Guo X, Feng H, Cai L, Zheng J, Li Y. DPP-IV as a potential candidate in anti-obesity and obesity-related diseases treatment. Biomed Pharmacother. 2024;180: 117464. 10.1016/j.biopha.2024.117464.
295. Shimasaki T, Masaki T, Mitsutomi K, Ueno D, Gotoh K, Chiba S, et al. The dipeptidyl peptidase-4 inhibitor des-fluoro-sitagliptin regulates brown adipose tissue uncoupling protein levels in mice with diet-induced obesity. PLoS ONE. 2013;8(5): e63626. 10.1371/journal.pone.0063626.
296. Takeda K, Sawazaki H, Takahashi H, Yeh YS, Jheng HF, Nomura W, et al. The dipeptidyl peptidase-4 (DPP-4) inhibitor teneligliptin enhances brown adipose tissue function, thereby preventing obesity in mice. FEBS Open Bio. 2018;8(11):1782–93. 10.1002/2211-5463.12498.
297. Bonnet F, Scheen AJ. Effects of SGLT2 inhibitors on systemic and tissue low-grade inflammation: the potential contribution to diabetes complications and cardiovascular disease. Diabetes Metab. 2018;44(6):457–64. 10.1016/j.diabet.2018.09.005.
298. Kim SR, Lee SG, Kim SH, Kim JH, Choi E, Cho W, et al. SGLT2 inhibition modulates NLRP3 inflammasome activity via ketones and insulin in diabetes with cardiovascular disease. Nat Commun. 2020;11(1):2127. 10.1038/s41467-020-15983-6.
299. Jongs N, Greene T, Chertow GM, McMurray JJV, Langkilde AM, Correa-Rotter R, et al. Effect of dapagliflozin on urinary albumin excretion in patients with chronic kidney disease with and without type 2 diabetes: a prespecified analysis from the DAPA-CKD trial. Lancet Diabetes Endocrinol. 2021;9(11):755–66. 10.1016/s2213-8587(21)00243-6.
300. McGuire DK, Shih WJ, Cosentino F, Charbonnel B, Cherney DZI, Dagogo-Jack S, et al. Association of SGLT2 inhibitors with cardiovascular and kidney outcomes in patients with type 2 diabetes: a meta-analysis. JAMA Cardiol. 2021;6(2):148–58. 10.1001/jamacardio.2020.4511.
301. Navaneethan SD, Zoungas S, Caramori ML, Chan JCN, Heerspink HJL, Hurst C, et al. Diabetes management in chronic kidney disease: synopsis of the KDIGO 2022 clinical practice guideline update. Ann Intern Med. 2023;176(3):381–7. 10.7326/m22-2904.
302. Abiri B, Ramezani Ahmadi A, Hosseinpanah F, Valizadeh A, Zarghi A, Valizadeh M. Randomized study of the effects of empagliflozin and topiramate dual therapy on anthropometric and metabolic indices in non-diabetic individuals with overweight/obesity on a calorie-restricted diet. Eat Weight Disord. 2024;29(1):64. 10.1007/s40519-024-01692-2.
303. Ioannides-Demos LL, Proietto J, Tonkin AM, McNeil JJ. Safety of drug therapies used for weight loss and treatment of obesity. Drug Saf. 2006;29(4):277–302. 10.2165/00002018-200629040-00001.
304. Jefferson HJ, Jayne DR. Peripheral vasculopathy and nephropathy in association with phentermine. Nephrol Dial Transplant. 1999;14(7):1761–3. 10.1093/ndt/14.7.1761.
305. Parthvi R, Mehra S. Topiramate-associated renal tubular acidosis. Am J Ther. 2018;25(6):e772–3. 10.1097/mjt.0000000000000781.
306. Kinalp C, Kurultak I, Ceri M, Keskinel I. Serum creatinine elevation caused by bupropion. Wien Klin Wochenschr. 2014;126(3–4):138–9. 10.1007/s00508-013-0466-4.
307. Mutoh J, Ohsawa M, Hisa H. Effect of naloxone on ischemic acute kidney injury in the mouse. Neuropharmacology. 2013;71:10–8. 10.1016/j.neuropharm.2013.03.001.
308. Erken E, Altunoren O, Gungor O. Orlistat and acute kidney injury: a case report. Clin Nephrol. 2017;87(2017)(3):157–8. 10.5414/cn109029.
309. Wilding JPH, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I, et al. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med. 2021;384(11):989–1002. 10.1056/NEJMoa2032183.
310. Lee PC, Dixon J. Pharmacotherapy for obesity. Aust Fam Physician. 2017;46(7):472–7.
311. Colbourne JRM, Fisher OM, Mo S, Rigas GS, Talbot ML. The role of adjuvant pharmacotherapy with liraglutide for patients with inadequate weight loss following bariatric surgery. Langenbecks Arch Surg. 2023;408(1):115. 10.1007/s00423-023-02805-8.
312. Ghusn W, De la Rosa A, Sacoto D, Cifuentes L, Campos A, Feris F, et al. Weight loss outcomes associated with semaglutide treatment for patients with overweight or obesity. JAMA Netw Open. 2022;5(9): e2231982. 10.1001/jamanetworkopen.2022.31982.
313. Smits MM, Van Raalte DH. Safety of semaglutide. Front Endocrinol (Lausanne). 2021;12:645563. 10.3389/fendo.2021.645563.
314. Khan TTS, Sheikh Z, Maleknia S, Oveissi F, Fathi A, Abrams T, et al. Intranasal delivery of glucagon-like peptide-1 to the brain for obesity treatment: opportunities and challenges. Expert Opin Drug Deliv. 2024;21(7):1081–101. 10.1080/17425247.2024.2387110.
315. Trujillo J, Chirino YI, Molina-Jijón E, Andérica-Romero AC, Tapia E, Pedraza-Chaverrí J. Renoprotective effect of the antioxidant curcumin: recent findings. Redox Biol. 2013;1(1):448–56. 10.1016/j.redox.2013.09.003.
316. Chuengsamarn S, Rattanamongkolgul S, Phonrat B, Tungtrongchitr R, Jirawatnotai S. Reduction of atherogenic risk in patients with type 2 diabetes by curcuminoid extract: a randomized controlled trial. J Nutr Biochem. 2014;25(2):144–50. 10.1016/j.jnutbio.2013.09.013.
317. Griffiths K, Aggarwal BB, Singh RB, Buttar HS, Wilson D, De Meester F. Food antioxidants and their anti-inflammatory properties: a potential role in cardiovascular diseases and cancer prevention. Diseases. 2016;4(3). 10.3390/diseases4030028.
318. Dixon RA, Ferreira D. Genistein. Phytochemistry. 2002;60(3):205–11. 10.1016/s0031-9422(02)00116-4.
319. Zhang J, Zhao L, Cheng Q, Ji B, Yang M, Sanidad KZ, et al. Structurally different flavonoid subclasses attenuate high-fat and high-fructose diet induced metabolic syndrome in rats. J Agric Food Chem. 2018;66(46):12412–20. 10.1021/acs.jafc.8b03574.
320. Rockwood S, Mason D, Lord R, Lamar P, Prozialeck W, Al-Nakkash L. Genistein diet improves body weight, serum glucose and triglyceride levels in both male and female ob/ob mice. Diabetes Metab Syndr Obes. 2019;12:2011–21. 10.2147/dmso.S216312.
321. Kositanurit W, Siritaweechai N, Varachotisate P, Burana C, Sukswai N, Surintrspanont J, et al. Genistein mitigates diet-induced obesity and metabolic dysfunctions in gonadectomized mice with some sex-differential effects. Front Endocrinol (Lausanne). 2024;15: 1392866. 10.3389/fendo.2024.1392866.
322. Choi JS, Kim JH, Ali MY, Min BS, Kim GD, Jung HA. Coptis chinensis alkaloids exert anti-adipogenic activity on 3T3-L1 adipocytes by downregulating C/EBP-α and PPAR-γ. Fitoterapia. 2014;98:199–208. 10.1016/j.fitote.2014.08.006.
323. An N, Zhang G, Li Y, Yuan C, Yang F, Zhang L, et al. Promising antioxidative effect of berberine in cardiovascular diseases. Front Pharmacol. 2022;13: 865353. 10.3389/fphar.2022.865353.
324. Cicero AF, Baggioni A. Berberine and its role in chronic disease. Adv Exp Med Biol. 2016;928:27–45. 10.1007/978-3-319-41334-1_2.
325. Qiu F, Zhu Z, Kang N, Piao S, Qin G, Yao X. Isolation and identification of urinary metabolites of berberine in rats and humans. Drug Metab Dispos. 2008;36(11):2159–65. 10.1124/dmd.108.021659.
326. Rosen ED. The transcriptional basis of adipocyte development. Prostaglandins Leukot Essent Fatty Acids. 2005;73(1):31–4. 10.1016/j.plefa.2005.04.004.
327. Shou JW, Shaw PC. Berberine reduces lipid accumulation in obesity via mediating transcriptional function of PPARδ. Int J Mol Sci. 2023;24(14): 11600. 10.3390/ijms241411600.
328. Zhang JW, Klemm DJ, Vinson C, Lane MD. Role of CREB in transcriptional regulation of CCAAT/enhancer-binding protein beta gene during adipogenesis. J Biol Chem. 2004;279(6):4471–8. 10.1074/jbc.M311327200.
329. Pugliese G, Iacobini C, Pesce CM, Menini S. Galectin-3: an emerging all-out player in metabolic disorders and their complications. Glycobiology. 2015;25(2):136–50. 10.1093/glycob/cwu111.
330. Padgett CA, Bátori RK, Speese AC, Rosewater CL, Bush WB, Derella CC, et al. Galectin-3 mediates vascular dysfunction in obesity by regulating NADPH Oxidase 1. Arterioscler Thromb Vasc Biol. 2023;43(10):e381–95. 10.1161/atvbaha.123.319476.
331. Kiwaki K, Novak CM, Hsu DK, Liu FT, Levine JA. Galectin-3 stimulates preadipocyte proliferation and is up-regulated in growing adipose tissue. Obesity (Silver Spring). 2007;15(1):32–9. 10.1038/oby.2007.526.
332. Baek JH, Kim SJ, Kang HG, Lee HW, Kim JH, Hwang KA, et al. Galectin-3 activates PPARγ and supports white adipose tissue formation and high-fat diet-induced obesity. Endocrinology. 2015;156(1):147–56. 10.1210/en.2014-1374.
333. Wang C, Wang Y, Ma SR, Zuo ZY, Wu YB, Kong WJ, et al. Berberine inhibits adipocyte differentiation, proliferation and adiposity through down-regulating galectin-3. Sci Rep. 2019;9(1):13415. 10.1038/s41598-019-50103-5.
334. Zhang J, Tang H, Deng R, Wang N, Zhang Y, Wang Y, et al. Berberine suppresses adipocyte differentiation via decreasing CREB transcriptional activity. PLoS ONE. 2015;10(4): e0125667. 10.1371/journal.pone.0125667.
335. Zhang Z, Zhang H, Li B, Meng X, Wang J, Zhang Y, et al. Berberine activates thermogenesis in white and brown adipose tissue. Nat Commun. 2014;5:5493. 10.1038/ncomms6493.
336. Sun Y, Xia M, Yan H, Han Y, Zhang F, Hu Z, et al. Berberine attenuates hepatic steatosis and enhances energy expenditure in mice by inducing autophagy and fibroblast growth factor 21. Br J Pharmacol. 2018;175(2):374–87. 10.1111/bph.14079.
337. Li C, Leng Q, Li L, Hu F, Xu Y, Gong S, et al. Berberine ameliorates obesity by inducing GDF15 secretion by brown adipocytes. Endocrinology. 2023;164(4): bqad035. 10.1210/endocr/bqad035.
338. Wu L, Xia M, Duan Y, Zhang L, Jiang H, Hu X, et al. Berberine promotes the recruitment and activation of brown adipose tissue in mice and humans. Cell Death Dis. 2019;10(6):468. 10.1038/s41419-019-1706-y.
339. Bandala C, Carro-Rodríguez J, Cárdenas-Rodríguez N, Peña-Montero I, Gómez-López M, Hernández-Roldán AP, et al. Comparative effects of gymnema sylvestre and berberine on adipokines, body composition, and metabolic parameters in obese patients: a randomized study. Nutrients. 2024;16(14): 2284. 10.3390/nu16142284.
340. Du J, Zhu Y, Yang X, Geng X, Xu Y, Zhang M, et al. Berberine attenuates obesity-induced insulin resistance by inhibiting miR-27a secretion. Diabet Med. 2024;41(7): e15319. 10.1111/dme.15319.
341. Li Z, Jiang JD, Kong WJ. Berberine up-regulates hepatic low-density lipoprotein receptor through Ras-independent but AMP-activated protein kinase-dependent Raf-1 activation. Biol Pharm Bull. 2014;37(11):1766–75. 10.1248/bpb.b14-00412.
342. Abidi P, Zhou Y, Jiang JD, Liu J. Extracellular signal-regulated kinase-dependent stabilization of hepatic low-density lipoprotein receptor mRNA by herbal medicine berberine. Arterioscler Thromb Vasc Biol. 2005;25(10):2170–6. 10.1161/01.ATV.0000181761.16341.2b.
343. Singh AB, Li H, Kan CF, Dong B, Nicolls MR, Liu J. The critical role of mRNA destabilizing protein heterogeneous nuclear ribonucleoprotein d in 3’ untranslated region-mediated decay of low-density lipoprotein receptor mRNA in liver tissue. Arterioscler Thromb Vasc Biol. 2014;34(1):8–16. 10.1161/atvbaha.112.301131.
344. Sun R, Yang N, Kong B, Cao B, Feng D, Yu X, et al. Orally administered berberine modulates hepatic lipid metabolism by altering microbial bile acid metabolism and the intestinal FXR signaling pathway. Mol Pharmacol. 2017;91(2):110–22. 10.1124/mol.116.106617.
345. DeBose-Boyd RA, Ye J. SREBPs in lipid metabolism, insulin signaling, and beyond. Trends Biochem Sci. 2018;43(5):358–68. 10.1016/j.tibs.2018.01.005.
346. Feng R, Zhao ZX, Ma SR, Guo F, Wang Y, Jiang JD. Gut microbiota-regulated pharmacokinetics of berberine and active metabolites in beagle dogs after oral administration. Front Pharmacol. 2018;9:214. 10.3389/fphar.2018.00214.
347. Ho YC, Srinivasan RS. Lymphatic vasculature in energy homeostasis and obesity. Front Physiol. 2020;11: 3. 10.3389/fphys.2020.00003.
348. Zhang F, Zarkada G, Han J, Li J, Dubrac A, Ola R, et al. Lacteal junction zippering protects against diet-induced obesity. Science. 2018;361(6402):599–603. 10.1126/science.aap9331.
349. Wang H, Chen S, Tang Y, Nie K, Gao Y, Wang Z, et al. Berberine promotes lacteal junction zippering and ameliorates diet-induced obesity through the RhoA/ROCK signaling pathway. Phytomedicine. 2024;124: 155268. 10.1016/j.phymed.2023.155268.
350. Guan S, Wang B, Li W, Guan J, Fang X. Effects of berberine on expression of LOX-1 and SR-BI in human macrophage-derived foam cells induced by ox-LDL. Am J Chin Med. 2010;38(6):1161–9. 10.1142/s0192415x10008548.
351. Wang TT, Yu LL, Zheng JM, Han XY, Jin BY, Hua CJ, et al. Berberine inhibits ferroptosis and stabilizes atherosclerotic plaque through NRF2/SLC7A11/GPX4 pathway. Chin J Integr Med. 2024;30(10):906–16. 10.1007/s11655-024-3666-z.
352. Hong Y, Feng J, Dou Z, Sun X, Hu Y, Chen Z, et al. Berberine as a novel ACSL4 inhibitor to suppress endothelial ferroptosis and atherosclerosis. Biomed Pharmacother. 2024;177: 117081. 10.1016/j.biopha.2024.117081.
353. Sun H, Wang N, Cang Z, Zhu C, Zhao L, Nie X, et al. Modulation of Microbiota-Gut-Brain Axis by Berberine Resulting in Improved Metabolic Status in High-Fat Diet-Fed Rats. Obes Facts. 2016;9(6):365–78. 10.1159/000449507.
354. Yang WL, Zhang CY, Ji WY, Zhao LL, Yang FY, Zhang L, et al. Berberine metabolites stimulate GLP-1 secretion by alleviating oxidative stress and mitochondrial dysfunction. Am J Chin Med. 2024;52(1):253–74. 10.1142/s0192415x24500113.
355. Sun S, Yang Y, Xiong R, Ni Y, Ma X, Hou M, et al. Oral berberine ameliorates high-fat diet-induced obesity by activating TAS2Rs in tuft and endocrine cells in the gut. Life Sci. 2022;311(Pt A): 121141. 10.1016/j.lfs.2022.121141.
356. Ye F, Zhou Q, Tian L, Lei F, Feng D. The protective effect of berberine hydrochloride on LPS-induced osteoclastogenesis through inhibiting TRAF6-Ca2 + -calcineurin-NFATcl signaling pathway. Mol Med Rep. 2017;16(5):6228–33. 10.3892/mmr.2017.7338.
357. Wang Y, Shou JW, Li XY, Zhao ZX, Fu J, He CY, et al. Berberine-induced bioactive metabolites of the gut microbiota improve energy metabolism. Metabolism. 2017;70:72–84. 10.1016/j.metabol.2017.02.003.
358. Kang S, Li Z, Yin Z, Jia R, Song X, Li L, et al. The antibacterial mechanism of berberine against Actinobacillus pleuropneumoniae. Nat Prod Res. 2015;29(23):2203–6. 10.1080/14786419.2014.1001388.
359. Jia Y, Hao C, Yang Q, Zhang W, Li G, Liu S, et al. Inhibition of Haemophilus parasuis by berberine and proteomic studies of its mechanism of action. Res Vet Sci. 2021;138:62–8. 10.1016/j.rvsc.2021.06.004.
360. Peng L, Kang S, Yin Z, Jia R, Song X, Li L, et al. Antibacterial activity and mechanism of berberine against Streptococcus agalactiae. Int J Clin Exp Pathol. 2015;8(5):5217–23.
361. Han J, Lin H, Huang W. Modulating gut microbiota as an anti-diabetic mechanism of berberine. Med Sci Monit. 2011;17(7):Ra164-7. 10.12659/msm.881842.
362. Wang H, Zhang H, Gao Z, Zhang Q, Gu C. The mechanism of berberine alleviating metabolic disorder based on gut microbiome. Front Cell Infect Microbiol. 2022;12: 854885. 10.3389/fcimb.2022.854885.
363. Sunwoo JY, Eliasberg CD, Carballo CB, Rodeo SA. The role of the macrophage in tendinopathy and tendon healing. J Orthop Res. 2020;38(8):1666–75. 10.1002/jor.24667.
364. Russo L, Lumeng CN. Properties and functions of adipose tissue macrophages in obesity. Immunology. 2018;155(4):407–17. 10.1111/imm.13002.
365. Wu H, Zhang L, Dong X, Yang J, Zheng L, Li L, et al. Targeted delivery of berberine using bionic nanomaterials for Atherosclerosis therapy. Biomed Pharmacother. 2024;178: 117135. 10.1016/j.biopha.2024.117135.
366. Zhang S, Xu P, Zhu Z, Zhou L, Li J, Zhou R, et al. Acetylation of p65(Lys310) by p300 in macrophages mediates anti-inflammatory property of berberine. Redox Biol. 2023;62: 102704. 10.1016/j.redox.2023.102704.
367. Sun J, Zeng Q, Wu Z, Huang L, Sun T, Ling C, et al. Berberine inhibits NLRP3 inflammasome activation and proinflammatory macrophage M1 polarization to accelerate peripheral nerve regeneration. Neurotherapeutics. 2024;21(4): e00347. 10.1016/j.neurot.2024.e00347.
368. Zhou H, Feng L, Xu F, Sun Y, Ma Y, Zhang X, et al. Berberine inhibits palmitate-induced NLRP3 inflammasome activation by triggering autophagy in macrophages: a new mechanism linking berberine to insulin resistance improvement. Biomed Pharmacother. 2017;89:864–74. 10.1016/j.biopha.2017.03.003.
369. Lin J, Cai Q, Liang B, Wu L, Zhuang Y, He Y, et al. Berberine, a traditional Chinese medicine, reduces inflammation in adipose tissue, polarizes M2 macrophages, and increases energy expenditure in mice fed a high-fat diet. Med Sci Monit. 2019;25:87–97. 10.12659/msm.911849.
370. Noh JW, Jun MS, Yang HK, Lee BC. Cellular and molecular mechanisms and effects of berberine on obesity-induced inflammation. Biomedicines. 2022;10(7): 1739. 10.3390/biomedicines10071739.
371. Li D, Yang C, Zhu JZ, Lopez E, Zhang T, Tong Q, et al. Berberine remodels adipose tissue to attenuate metabolic disorders by activating sirtuin 3. Acta Pharmacol Sin. 2022;43(5):1285–98. 10.1038/s41401-021-00736-y.
372. Kwon S, Seok S, Yau P, Li X, Kemper B, Kemper JK. Obesity and aging diminish sirtuin 1 (SIRT1)-mediated deacetylation of SIRT3, leading to hyperacetylation and decreased activity and stability of SIRT3. J Biol Chem. 2017;292(42):17312–23. 10.1074/jbc.M117.778720.
373. Meng G, Li P, Du X, Feng X, Qiu F. Berberine alleviates ulcerative colitis by inhibiting inflammation through targeting IRGM1. Phytomedicine. 2024;133: 155909. 10.1016/j.phymed.2024.155909.
374. Mansour A, Noori M, Hakemi MS, Haghgooyan Z, Mohajeri-Tehrani MR, Mirahmad M, et al. Hyperandrogenism and anthropometric parameters in women with polycystic ovary syndrome. BMC Endocr Disord. 2024;24(1):201. 10.1186/s12902-024-01733-y.
375. Shorakae S, Teede H, de Courten B, Lambert G, Boyle J, Moran LJ. The emerging role of chronic low-grade inflammation in the pathophysiology of polycystic ovary syndrome. Semin Reprod Med. 2015;33(4):257–69. 10.1055/s-0035-1556568.
376. Shen HR, Xu X, Li XL. Berberine exerts a protective effect on rats with polycystic ovary syndrome by inhibiting the inflammatory response and cell apoptosis. Reprod Biol Endocrinol. 2021;19(1):3. 10.1186/s12958-020-00684-y.
377. Poulios E, Koukounari S, Psara E, Vasios GK, Sakarikou C, Giaginis C. Anti-obesity properties of phytochemicals: highlighting their molecular mechanisms against obesity. Curr Med Chem. 2024;31(1):25–61. 10.2174/0929867330666230517124033.
378. Li Z, Wang Y, Xu Q, Ma J, Li X, Yan J, et al. Berberine and health outcomes: An umbrella review. Phytother Res. 2023;37(5):2051–66. 10.1002/ptr.7806.
379. Cui M, Li Y, Zheng T, Chen H, Wang J, Feng Y, et al. Efficacy and molecular mechanism of quercetin on constipation induced by berberine via regulating gut microbiota. Int J Mol Sci. 2024;25(11). 10.3390/ijms25116228.
380. Han Y, Xiang Y, Shi Y, Tang X, Pan L, Gao J, et al. Pharmacokinetics and pharmacological activities of berberine in diabetes mellitus treatment. Evid Based Complement Alternat Med. 2021;2021: 9987097. 10.1155/2021/9987097.
381. Chen W, Miao YQ, Fan DJ, Yang SS, Lin X, Meng LK, et al. Bioavailability study of berberine and the enhancing effects of TPGS on intestinal absorption in rats. AAPS PharmSciTech. 2011;12(2):705–11. 10.1208/s12249-011-9632-z.
382. Gupta M, Rumman M, Singh B, Mahdi AA, Pandey S. Berberine ameliorates glucocorticoid-induced hyperglycemia: an in vitro and in vivo study. Naunyn Schmiedebergs Arch Pharmacol. 2024;397(3):1647–58. 10.1007/s00210-023-02703-2.
383. Urasaki Y, Le TT. Cinnamaldehyde and curcumin prime Akt2 for insulin-stimulated activation. Nutrients. 2022;14(16). 10.3390/nu14163301.
384. Urasaki Y, Le TT. A composition of phytonutrients for glycemic and weight management. Nutrients. 2022;14(18): 3784. 10.3390/nu14183784.
385. Yue SJ, Wang WX, Zhang L, Liu J, Feng WW, Gao H, et al. Anti-obesity and gut microbiota modulation effect of astragalus polysaccharides combined with berberine on high-fat diet-fed obese mice. Chin J Integr Med. 2023;29(7):617–25. 10.1007/s11655-021-3303-z.
386. Payab M, Hasani-Ranjbar S, Baeeri M, Rahimifard M, Arjmand B, Haghi-Aminjan H, et al. Development of a novel anti-obesity compound with inhibiting properties on the lipid accumulation in 3T3-L1 adipocytes. Iran Biomed J. 2020;24(3):155–63. 10.29252/ibj.24.3.155.
387. Lin Q, Xing J, Liu Y-Y, Wu G, Liu S-J, Wang H, et al. taBOX: a water-soluble tetraanionic rectangular molecular container for conjugated molecules and taste masking for berberine and palmatine. Chinese Chemical Letters. 2024;35(5): 109119. 10.1016/j.cclet.2023.109119.
388. Zhou L, Dodd S, Capacci-Daniel C, Garad S, Panicucci R, Sethuraman V. Co-crystal formation based on structural matching. Eur J Pharm Sci. 2016;88:191–201. 10.1016/j.ejps.2016.02.017.
389. Fulas OA, Laferrière A, Ayoub G, Gandrath D, Mottillo C, Titi HM, et al. Drug-nutraceutical co-crystal and salts for making new and improved bi-functional analgesics. Pharmaceutics. 2020;12(12): 1144. 10.3390/pharmaceutics12121144.
390. Wang M, Xu R, Liu X, Zhang L, Qiu S, Lu Y, et al. A co-crystal berberine-ibuprofen improves obesity by inhibiting the protein kinases TBK1 and IKKɛ. Commun Biol. 2022;5(1):807. 10.1038/s42003-022-03776-0.
391. Zhao P, Wong KI, Sun X, Reilly SM, Uhm M, Liao Z, et al. TBK1 at the crossroads of inflammation and energy homeostasis in adipose tissue. Cell. 2018;172(4):731-43.e12. 10.1016/j.cell.2018.01.007.
392. Chiang SH, Bazuine M, Lumeng CN, Geletka LM, Mowers J, White NM, et al. The protein kinase IKKepsilon regulates energy balance in obese mice. Cell. 2009;138(5):961–75. 10.1016/j.cell.2009.06.046.
393. Xu H, Li S, Liu YS. Nanoparticles in the diagnosis and treatment of vascular aging and related diseases. Signal Transduct Target Ther. 2022;7(1):231. 10.1038/s41392-022-01082-z.
394. Liu Y, Luo J, Chen X, Liu W, Chen T. Cell membrane coating technology: a promising strategy for biomedical applications. Nanomicro Lett. 2019;11(1):100. 10.1007/s40820-019-0330-9.
395. Xu HY, Liu CS, Huang CL, Chen L, Zheng YR, Huang SH, et al. Nanoemulsion improves hypoglycemic efficacy of berberine by overcoming its gastrointestinal challenge. Colloids Surf B Biointerfaces. 2019;181:927–34. 10.1016/j.colsurfb.2019.06.006.
396. Mirhadi E, Rezaee M, Malaekeh-Nikouei B. Nano strategies for berberine delivery, a natural alkaloid of Berberis. Biomed Pharmacother. 2018;104:465–73. 10.1016/j.biopha.2018.05.067.
397. Glassman PM, Villa CH, Ukidve A, Zhao Z, Smith P, Mitragotri S, et al. Vascular drug delivery using carrier red blood cells: focus on RBC surface loading and pharmacokinetics. Pharmaceutics. 2020;12(5): 440. 10.3390/pharmaceutics12050440.
398. Aghili ZS, Mirzaei SA, Banitalebi-Dehkordi M. A potential hypothesis for 2019-nCoV infection therapy through delivery of recombinant ACE2 by red blood cell-hitchhiking. J Biol Res (Thessalon). 2020;27:17. 10.1186/s40709-020-00129-y.
399. Aghili ZS, Magnani M, Ghatrehsamani M, Nourian Dehkordi A, Mirzaei SA, Banitalebi DM. Intelligent berberine-loaded erythrocytes attenuated inflammatory cytokine productions in macrophages. Sci Rep. 2024;14(1):9381. 10.1038/s41598-024-60103-9.
400. Valenzano A, Tartaglia N, Ambrosi A, Tafuri D, Monda M, Messina A, et al. The metabolic rearrangements of bariatric surgery: focus on orexin-A and the adiponectin system. J Clin Med. 2020;9(10): 3327. 10.3390/jcm9103327.
401. Nguyen NT, Varela JE. Bariatric surgery for obesity and metabolic disorders: state of the art. Nat Rev Gastroenterol Hepatol. 2017;14(3):160–9. 10.1038/nrgastro.2016.170.
402. Wadden TA, Chao AM, Bahnson JL, Bantle JP, Clark JM, Gaussoin SA, et al. End-of-trial health outcomes in look AHEAD participants who elected to have bariatric surgery. Obesity (Silver Spring). 2019;27(4):581–90. 10.1002/oby.22411.
403. Arterburn DE, Courcoulas AP. Bariatric surgery for obesity and metabolic conditions in adults. BMJ. 2014;349: g3961. 10.1136/bmj.g3961.
404. Pareek M, Schauer PR, Kaplan LM, Leiter LA, Rubino F, Bhatt DL. Metabolic surgery: weight loss, diabetes, and beyond. J Am Coll Cardiol. 2018;71(6):670–87. 10.1016/j.jacc.2017.12.014.
405. Song K, Kong X, Zhang Z, Xian Y, He M, Zhang Y, et al. Sleeve gastrectomy ameliorates renal injury in obesity-combined hyperuricemic nephropathy mice by modulating the AMPK/Nrf2/ABCG2 pathway. Sci Rep. 2024;14(1):22834. 10.1038/s41598-024-73807-9.
406. Soong TC, Lee MH, Lee WJ, Almalki OM, Chen JC, Wu CC, et al. Long-term efficacy of bariatric surgery for the treatment of super-obesity: comparison of SG, RYGB, and OAGB. Obes Surg. 2021;31(8):3391–9. 10.1007/s11695-021-05464-0.
407. Bettencourt-Silva R, Neves JS, Pedro J, Guerreiro V, Ferreira MJ, Salazar D, et al. Comparative effectiveness of different bariatric procedures in super morbid obesity. Obes Surg. 2019;29(1):281–91. 10.1007/s11695-018-3519-y.
408. Maroun J, Li M, Oyefule O, Badaoui JE, McKenzie T, Kendrick M, et al. Ten year comparative analysis of sleeve gastrectomy, Roux-en-Y gastric bypass, and biliopancreatic diversion with duodenal switch in patients with BMI ≥ 50 kg/m(2). Surg Endosc. 2022;36(7):4946–55. 10.1007/s00464-021-08850-y.
409. Lucocq J, Homyer K, Geropoulos G, Thakur V, Stansfield D, Joyce B, et al. Long-term weight loss and comorbidity resolution of laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass and the impact of preoperative weight loss on overall outcome. Surg Laparosc Endosc Percutan Tech. 2024;34(5):466–71. 10.1097/sle.0000000000001313.
410. Samuel N, Jalal Q, Gupta A, Mazari F, Vasas P, Balachandra S. Mid-term bariatric surgery outcomes for obese patients: does weight matter? Ann R Coll Surg Engl. 2020;102(1):54–61. 10.1308/rcsann.2019.0100.
411. Murtha JA, Alagoz E, Breuer CR, Finn A, Raffa SD, Voils CI, et al. Individual-level barriers to bariatric surgery from patient and provider perspectives: a qualitative study. Am J Surg. 2022;224(1 Pt B):429–36. 10.1016/j.amjsurg.2021.12.022.
412. Arman GA, Himpens J, Dhaenens J, Ballet T, Vilallonga R, Leman G. Long-term (11+years) outcomes in weight, patient satisfaction, comorbidities, and gastroesophageal reflux treatment after laparoscopic sleeve gastrectomy. Surg Obes Relat Dis. 2016;12(10):1778–86. 10.1016/j.soard.2016.01.013.
413. Alvarez V, Carrasco F, Cuevas A, Valenzuela B, Muñoz G, Ghiardo D, et al. Mechanisms of long-term weight regain in patients undergoing sleeve gastrectomy. Nutrition. 2016;32(3):303–8. 10.1016/j.nut.2015.08.023.
414. Avidan R, Abu-Abeid A, Keidar A, Lahat G, Eldar SM. Ten-year results of laparoscopic sleeve gastrectomy: a retrospectively designed study of a single tertiary center. Obes Surg. 2023;33(1):173–8. 10.1007/s11695-022-06349-6.
415. Engin A. Bariatric surgery in obesity: metabolic quality analysis and comparison of surgical options. Adv Exp Med Biol. 2024;1460:697–726. 10.1007/978-3-031-63657-8_24.
416. Chakhtoura MT, Nakhoul NF, Akl EA, Safadi BY, Mantzoros CS, Metzendorf MI, et al. Oral vitamin D supplementation for adults with obesity undergoing bariatric surgery. Cochrane Database Syst Rev. 2024;10(10):Cd011800. 10.1002/14651858.CD011800.pub2.
417. van Beek AP, Emous M, Laville M, Tack J. Dumping syndrome after esophageal, gastric or bariatric surgery: pathophysiology, diagnosis, and management. Obes Rev. 2017;18(1):68–85. 10.1111/obr.12467.
418. Yadlapati S, Sánchez-Luna SA, Gromski MA, Mulki R. Managing the bariatric surgery patient: presurgery and postsurgery considerations. Gastrointest Endosc Clin N Am. 2024;34(4):627–38. 10.1016/j.giec.2024.04.002.
419. Young LR, Taxin ZH, Norman RG, Walsleben JA, Rapoport DM, Ayappa I. Response to CPAP withdrawal in patients with mild versus severe obstructive sleep apnea/hypopnea syndrome. Sleep. 2013;36(3):405–12. 10.5665/sleep.2460.
420. Nagappa M, Mokhlesi B, Wong J, Wong DT, Kaw R, Chung F. The effects of continuous positive airway pressure on postoperative outcomes in obstructive sleep apnea patients undergoing surgery: a systematic review and meta-analysis. Anesth Analg. 2015;120(5):1013–23. 10.1213/ane.0000000000000634.
421. Practice guidelines for the perioperative management of patients with obstructive sleep apnea: an updated report by the American Society of Anesthesiologists Task Force on perioperative management of patients with obstructive sleep apnea. Anesthesiology. 2014;120(2):268–86. 10.1097/aln.0000000000000053.
422. Tubog TD. Combined Intermittent Pneumatic Leg Compression and Pharmacological Prophylaxis for Prevention of Venous Thromboembolism. Orthop Nurs. 2019;38(4):270–2. 10.1097/nor.0000000000000574.
423. Sachdeva A, Dalton M, Lees T. Graduated compression stockings for prevention of deep vein thrombosis. Cochrane Database Syst Rev. 2018;11(11):Cd001484. 10.1002/14651858.CD001484.pub4.
424. Hirasawa N, Shimizu Y, Haginoya A, Soma Y, Watanabe G, Takehara K, et al. Comparative analysis of muscle activity and circulatory dynamics: a crossover study using leg exercise apparatus and ergometer. Medicina (Kaunas). 2024;60(8). 10.3390/medicina60081260.
425. Mechanick JI, Apovian C, Brethauer S, Garvey WT, Joffe AM, Kim J, et al. Clinical practice guidelines for the perioperative nutrition, metabolic, and nonsurgical support of patients undergoing bariatric procedures - 2019 update: cosponsored by American Association of Clinical Endocrinologists/American College of Endocrinology, the Obesity Society, American Society for Metabolic & Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists - executive summary. Endocr Pract. 2019;25(12):1346–59. 10.4158/gl-2019-0406.
426. O’Kane M. Nutritional consequences of bariatric surgery - prevention, detection and management. Curr Opin Gastroenterol. 2021;37(2):135–44. 10.1097/mog.0000000000000707.
427. O’Kane M, Parretti HM, Pinkney J, Welbourn R, Hughes CA, Mok J, et al. British obesity and metabolic surgery society guidelines on perioperative and postoperative biochemical monitoring and micronutrient replacement for patients undergoing bariatric surgery-2020 update. Obes Rev. 2020;21(11): e13087. 10.1111/obr.13087.
428. Sherf-Dagan S, Sinai T, Goldenshluger A, Globus I, Kessler Y, Schweiger C, et al. Nutritional assessment and preparation for adult bariatric surgery candidates: clinical practice. Adv Nutr. 2021;12(3):1020–31. 10.1093/advances/nmaa121.
429. Homan J, Betzel B, Aarts EO, Dogan K, van Laarhoven KJ, Janssen IM, et al. Vitamin and mineral deficiencies after biliopancreatic diversion and biliopancreatic diversion with duodenal switch–the rule rather than the exception. Obes Surg. 2015;25(9):1626–32. 10.1007/s11695-015-1570-5.
430. Ying VW, Kim SH, Khan KJ, Farrokhyar F, D’Souza J, Gmora S, et al. Prophylactic PPI help reduce marginal ulcers after gastric bypass surgery: a systematic review and meta-analysis of cohort studies. Surg Endosc. 2015;29(5):1018–23. 10.1007/s00464-014-3794-1.
431. Kang X, Zurita-Macias L, Hong D, Cadeddu M, Anvari M, Gmora S. A comparison of 30-day versus 90-day proton pump inhibitor therapy in prevention of marginal ulcers after laparoscopic Roux-en-Y gastric bypass. Surg Obes Relat Dis. 2016;12(5):1003–7. 10.1016/j.soard.2015.11.010.
432. Wennerlund J, Gunnarsson U, Strigård K, Sundbom M. Acid-related complications after laparoscopic Roux-en-Y gastric bypass: risk factors and impact of proton pump inhibitors. Surg Obes Relat Dis. 2020;16(5):620–5. 10.1016/j.soard.2020.01.005.
433. Thorell A, Hagström-Toft E. Treatment of diabetes prior to and after bariatric surgery. J Diabetes Sci Technol. 2012;6(5):1226–32. 10.1177/193229681200600528.
434. Stewart J, Allen S, Weidman-Evans E. Bariatric surgery and type 2 diabetes. Jaapa. 2020;33(1):28–32. 10.1097/01.JAA.0000615484.77430.1b.
435. Shenoy A, Schulman AR. Endoscopic management of bariatric surgery complications: fistulas, leaks, and ulcers. Gastrointest Endosc Clin N Am. 2024;34(4):655–69. 10.1016/j.giec.2024.06.001.
436. Szvarca D, Jirapinyo P. Endoscopic management of weight regain after bariatric surgery. Gastrointest Endosc Clin N Am. 2024;34(4):639–54. 10.1016/j.giec.2024.04.007.
437. White ME, Kushnir V. Combination therapies: anti-obesity medications and endoscopic bariatric procedures. Gastrointest Endosc Clin N Am. 2024;34(4):743–56. 10.1016/j.giec.2024.06.003.
438. Moon S, Park Y, Jang S, Kim S, Song DG, Shin DC, et al. Interleukin-2 improves insulin sensitivity through hypothalamic sympathetic activation in obese mice. J Neuroinflammation. 2024;21(1):250. 10.1186/s12974-024-03244-y.
439. Berthon A, Bertherat J. Update of genetic and molecular causes of adrenocortical hyperplasias causing cushing syndrome. Horm Metab Res. 2020;52(8):598–606. 10.1055/a-1061-7349.
440. Melander O, Orho-Melander M, Bengtsson K, Lindblad U, Råstam L, Groop L, et al. Association between a variant in the 11 beta-hydroxysteroid dehydrogenase type 2 gene and primary hypertension. J Hum Hypertens. 2000;14(12):819–23. 10.1038/sj.jhh.1001116.
441. Peckett AJ, Wright DC, Riddell MC. The effects of glucocorticoids on adipose tissue lipid metabolism. Metabolism. 2011;60(11):1500–10. 10.1016/j.metabol.2011.06.012.
442. Caratti G, Stifel U, Caratti B, Jamil AJM, Chung KJ, Kiehntopf M, et al. Glucocorticoid activation of anti-inflammatory macrophages protects against insulin resistance. Nat Commun. 2023;14(1):2271. 10.1038/s41467-023-37831-z.
443. Buttgereit F. Views on glucocorticoid therapy in rheumatology: the age of convergence. Nat Rev Rheumatol. 2020;16(4):239–46. 10.1038/s41584-020-0370-z.
444. Zhong C, Li N, Wang S, Li D, Yang Z, Du L, et al. Targeting osteoblastic 11β-HSD1 to combat high-fat diet-induced bone loss and obesity. Nat Commun. 2024;15(1):8588. 10.1038/s41467-024-52965-4.
445. Chuanxin Z, Shengzheng W, Lei D, Duoli X, Jin L, Fuzeng R, et al. Progress in 11β-HSD1 inhibitors for the treatment of metabolic diseases: a comprehensive guide to their chemical structure diversity in drug development. Eur J Med Chem. 2020;191: 112134. 10.1016/j.ejmech.2020.112134.
446. Gregory S, Hill D, Grey B, Ketelbey W, Miller T, Muniz-Terrera G, et al. 11β-hydroxysteroid dehydrogenase type 1 inhibitor use in human disease-a systematic review and narrative synthesis. Metabolism. 2020;108: 154246. 10.1016/j.metabol.2020.154246.
447. de Sá RD, Crisma AR, Cruz MM, Martins AR, Masi LN, do Amaral CL, et al. Fish oil prevents changes induced by a high-fat diet on metabolism and adipokine secretion in mice subcutaneous and visceral adipocytes. J Physiol. 2016;594(21):6301–17. 10.1113/jp272541.
448. Lorente-Cebrián S, Costa AG, Navas-Carretero S, Zabala M, Martínez JA, Moreno-Aliaga MJ. Role of omega-3 fatty acids in obesity, metabolic syndrome, and cardiovascular diseases: a review of the evidence. J Physiol Biochem. 2013;69(3):633–51. 10.1007/s13105-013-0265-4.
449. Kaur N, Chugh V, Gupta AK. Essential fatty acids as functional components of foods- a review. J Food Sci Technol. 2014;51(10):2289–303. 10.1007/s13197-012-0677-0.
450. Pradhan S, Panchali T, Paul B, Khatun A, Rao Jarapala S, Mondal KC, et al. Anti-obesity potentiality of Tapra fish (Opisthopterus tardoore) oil. J Food Biochem. 2020;44(11): e13448. 10.1111/jfbc.13448.
451. Panchali T, Dutta A, Das P, Khatun A, Kar R, Mondal S, et al. Amelioration of obesity induction by a high-fat diet and related inflammation by Phasa fish (Setipinna phasa) oil in BALB/c mice. J Appl Biomed. 2024;22(1):49–58. 10.32725/jab.2024.003.
452. Hu C. Marine natural products and human immunity: novel biomedical resources for anti-infection of SARS-CoV-2 and related cardiovascular disease. Nat Prod Bioprospect. 2024;14(1):12. 10.1007/s13659-024-00432-4.
453. Wang A, Li M, Huang H, Xiao Z, Shen J, Zhao Y, et al. A review of Penthorum chinense Pursh for hepatoprotection: traditional use, phytochemistry, pharmacology, toxicology and clinical trials. J Ethnopharmacol. 2020;251: 112569. 10.1016/j.jep.2020.112569.
454. Wang A, Lin L, Wang Y. Traditional Chinese herbal medicine Penthorum chinense Pursh: a phytochemical and pharmacological review. Am J Chin Med. 2015;43(4):601–20. 10.1142/s0192415x15500378.
455. Nabi F, Ahmed J, Tao W, Lu Q, Bhutto ZA, Qadir A, et al. An updated review on efficiency of Penthorum chinense Pursh in traditional uses, toxicology, and clinical trials. Biomed Res Int. 2023;2023: 4254051. 10.1155/2023/4254051.
456. Hu J, Xie H, Lin N, Yang Y. Penthorum chinense Pursh improves type 2 diabetes mellitus via modulating gut microbiota in db/db mice. BMC Complement Med Ther. 2023;23(1):314. 10.1186/s12906-023-04136-z.
457. Hu J, Zheng L, Fan X, Lang H, Xie H, Lin N. Ameliorative effects of Penthorum chinense Pursh on insulin resistance and oxidative stress in diabetic obesity db/db mice. PLoS ONE. 2024;19(10): e0311502. 10.1371/journal.pone.0311502.
458. Oo TT, Sumneang N, Chunchai T, Apaijai N, Pratchayasakul W, Liang G, et al. Blocking brain myeloid differentiation factor 2-toll-like receptor 4 signaling improves cognition by diminishing brain pathologies and preserving adult hippocampal neurogenesis in obese rats. J Neuroimmune Pharmacol. 2024;19(1):51. 10.1007/s11481-024-10151-9.
459. Khateeb S, Albalawi A, Alkhedaide A. Regulatory effect of diosgenin on lipogenic genes expression in high-fat diet-induced obesity in mice. Saudi J Biol Sci. 2021;28(1):1026–32. 10.1016/j.sjbs.2020.11.045.
460. Fang K, Wu F, Chen G, Dong H, Li J, Zhao Y, et al. Diosgenin ameliorates palmitic acid-induced lipid accumulation via AMPK/ACC/CPT-1A and SREBP-1c/FAS signaling pathways in LO2 cells. BMC Complement Altern Med. 2019;19(1):255. 10.1186/s12906-019-2671-9.
461. Oh SH, Lee MS, Lee BC. Diosgenin alleviates obesity-induced insulin resistance by modulating PI3K/Akt signaling pathway in mice fed a high-fat diet. Chem Pharm Bull (Tokyo). 2024;72(10):845–55. 10.1248/cpb.c24-00313.
462. Baskin AS, Linderman JD, Brychta RJ, McGehee S, Anflick-Chames E, Cero C, et al. Regulation of human adipose tissue activation, gallbladder size, and bile acid metabolism by a β3-adrenergic receptor agonist. Diabetes. 2018;67(10):2113–25. 10.2337/db18-0462.
463. O’Mara AE, Johnson JW, Linderman JD, Brychta RJ, McGehee S, Fletcher LA, et al. Chronic mirabegron treatment increases human brown fat, HDL cholesterol, and insulin sensitivity. J Clin Invest. 2020;130(5):2209–19. 10.1172/jci131126.
464. Dąbrowska AM, Dudka J. Mirabegron, a selective β3-adrenergic receptor agonist, as a potential anti-obesity drug. J Clin Med. 2023;12(21): 6897. 10.3390/jcm12216897.
465. Mao L, Lu J, Hou Y, Nie T. Directly targeting PRDM16 in thermogenic adipose tissue to treat obesity and its related metabolic diseases. Front Endocrinol (Lausanne). 2024;15: 1458848. 10.3389/fendo.2024.1458848.
466. Pan MH, Koh YC, Lee TL, Wang B, Chen WK, Nagabhushanam K, et al. Resveratrol and oxyresveratrol activate thermogenesis via different transcriptional coactivators in high-fat diet-induced obese mice. J Agric Food Chem. 2019;67(49):13605–16. 10.1021/acs.jafc.9b05963.
467. Liu X, Zhang Y, Chu Y, Zhao X, Mao L, Zhao S, et al. The natural compound rutaecarpine promotes white adipocyte browning through activation of the AMPK-PRDM16 axis. Biochem Biophys Res Commun. 2021;545:189–94. 10.1016/j.bbrc.2021.01.080.
468. Yang Q, Liang X, Sun X, Zhang L, Fu X, Rogers CJ, et al. AMPK/α-Ketoglutarate axis dynamically mediates DNA demethylation in the Prdm16 promoter and brown adipogenesis. Cell Metab. 2016;24(4):542–54. 10.1016/j.cmet.2016.08.010.
469. Ohno H, Shinoda K, Spiegelman BM, Kajimura S. PPARγ agonists induce a white-to-brown fat conversion through stabilization of PRDM16 protein. Cell Metab. 2012;15(3):395–404. 10.1016/j.cmet.2012.01.019.
470. Zhou JY, Poudel A, Welchko R, Mekala N, Chandramani-Shivalingappa P, Rosca MG, et al. Liraglutide improves insulin sensitivity in high fat diet induced diabetic mice through multiple pathways. Eur J Pharmacol. 2019;861: 172594. 10.1016/j.ejphar.2019.172594.
471. Chen K, Dai G, Liu S, Wei Y. Reducing obesity and inflammation in mice with organically-derivatized polyoxovanadate clusters. Chinese Chemical Letters. 2023;34(5): 107638. 10.1016/j.cclet.2022.06.061.
472. Frans P, Mkabayi L, Pletschke BI, Frost CL. The effects of Cannabis sativa and cannabinoids on the inhibition of pancreatic lipase - an enzyme involved in obesity. Biomed Pharmacother. 2024;179: 117357. 10.1016/j.biopha.2024.117357.
473. Ahuja NK, Nimgaonkar A. Precision bariatrics: toward a new paradigm of personalized devices in obesity therapeutics. Obes Surg. 2016;26(7):1642–5. 10.1007/s11695-016-2180-6.
474. Yang S, Yu B, Liao K, Qiao X, Fan Y, Li M, et al. Effectiveness of a socioecological model-guided, smart device-based, self-management-oriented lifestyle intervention in community residents: protocol for a cluster-randomized controlled trial. BMC Public Health. 2024;24(1):32. 10.1186/s12889-023-17073-w.
475. Rondanelli M, Perna S, Della Porta M, Lombardoni F, Patelli Z, Nichetti M, et al. A randomized double-blind placebo-controlled clinical study to evaluate the effect on the weight of a medical device with polyglucosamine L112 in a Group of Overweight and Obese Subjects. Nutrients. 2023;15(16): 3516. 10.3390/nu15163516.
476. Mohaghegh N, Ahari A, Buttles C, Davani S, Hoang H, Huang Q, et al. Simvastatin-loaded polymeric nanoparticles: targeting inflammatory macrophages for local adipose tissue browning in obesity treatment. ACS Nano. 2024;18(40):27764–81. 10.1021/acsnano.4c10742.
477. Tang R, Harasymowicz NS, Wu CL, Choi YR, Lenz K, Oswald SJ, et al. Gene therapy for fat-1 prevents obesity-induced metabolic dysfunction, cellular senescence, and osteoarthritis. Proc Natl Acad Sci U S A. 2024;121(43): e2402954121. 10.1073/pnas.2402954121.
478. Engin AB, Engin A. MicroRNAs as epigenetic regulators of obesity. Adv Exp Med Biol. 2024;1460:595–627. 10.1007/978-3-031-63657-8_20.
479. Attia SM, Alshamrani AA, Ahmad SF, Albekairi NA, Nadeem A, Attia MSM, et al. Dulaglutide reduces oxidative DNA damage and hypermethylation in the somatic cells of mice fed a high-energy diet by restoring redox balance, inflammatory responses, and DNA repair gene expressions. J Biochem Mol Toxicol. 2024;38(7): e23764. 10.1002/jbt.23764.
480. Roberts KJ, Chaves E, Ariza AJ, Thaker VV, Cho CC, Binns HJ. Exploring genetic testing for rare disorders of obesity: experience and perspectives of pediatric weight management providers. Child Obes. 2024;20(7):451–8. 10.1089/chi.2023.0125.
481. Nalbantoğlu Ö, Hazan F, Acar S, Gürsoy S, Özkan B. Screening of non-syndromic early-onset child and adolescent obese patients in terms of LEP, LEPR, MC4R and POMC gene variants by next-generation sequencing. J Pediatr Endocrinol Metab. 2022;35(8):1041–50. 10.1515/jpem-2022-0027.
482. Markham A. Setmelanotide: first approval. Drugs. 2021;81(3):397–403. 10.1007/s40265-021-01470-9.
483. Lopez-Yus M, García-Sobreviela MP, Del Moral-Bergos R, Arbones-Mainar JM. Gene therapy based on mesenchymal stem cells derived from adipose tissue for the treatment of obesity and its metabolic complications. Int J Mol Sci. 2023;24(8): 7468. 10.3390/ijms24087468.
484. Rebizak E, Sierant K, Łabuzek K, Okopień B. Fecal transplantation the future therapy? Pol Merkur Lekarski. 2015;39(230):73–6.
485. Vrieze A, Van Nood E, Holleman F, Salojärvi J, Kootte RS, Bartelsman JF, et al. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. 2012;143(4):913-6.e7. 10.1053/j.gastro.2012.06.031.
486. Kootte RS, Levin E, Salojärvi J, Smits LP, Hartstra AV, Udayappan SD, et al. Improvement of insulin sensitivity after lean donor feces in metabolic syndrome is driven by baseline intestinal microbiota composition. Cell Metab. 2017;26(4):611-9.e6. 10.1016/j.cmet.2017.09.008.
487. Kang JG, Park CY, Kang JH, Park YW, Park SW. Randomized controlled trial to investigate the effects of a newly developed formulation of phentermine diffuse-controlled release for obesity. Diabetes Obes Metab. 2010;12(10):876–82. 10.1111/j.1463-1326.2010.01242.x.
488. Yanovski SZ, Yanovski JA. Long-term drug treatment for obesity: a systematic and clinical review. JAMA. 2014;311(1):74–86. 10.1001/jama.2013.281361.
489. Allison DB, Gadde KM, Garvey WT, Peterson CA, Schwiers ML, Najarian T, et al. Controlled-release phentermine/topiramate in severely obese adults: a randomized controlled trial (EQUIP). Obesity (Silver Spring). 2012;20(2):330–42. 10.1038/oby.2011.330.
490. O’Neil PM, Smith SR, Weissman NJ, Fidler MC, Sanchez M, Zhang J, et al. Randomized placebo-controlled clinical trial of lorcaserin for weight loss in type 2 diabetes mellitus: the BLOOM-DM study. Obesity (Silver Spring). 2012;20(7):1426–36. 10.1038/oby.2012.66.
491. Greenway FL, Fujioka K, Plodkowski RA, Mudaliar S, Guttadauria M, Erickson J, et al. Effect of naltrexone plus bupropion on weight loss in overweight and obese adults (COR-I): a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. Lancet. 2010;376(9741):595–605. 10.1016/s0140-6736(10)60888-4.
Associated Data
Data Availability Statement
Not applicable.