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Analysis of regional flavor quality differences in congou black tea using metabolomics.

Congou black tea, a traditional Chinese tea, shows regional variations in flavor and aroma. This study employed metabolomics techniques to compare Congou black tea from Zhejiang, Fujian, Sichuan, and Jiangxi. Using HS-SPME-GC-MS and SPME-GC-IMS, we identified 110 and 60 volatile organic compounds, respectively, with 5 common VOCs. Statistical analysis revealed 45 and 20 differential VOCs (VIP > 1, P < 0.05), essential for distinguishing the regions. The predominant compounds in FJ, SC, ZJ, and JX were esters, hydrocarbons, and ketones, respectively. UPLC-MS/MS analysis identified 180 non-volat…

Biomarker discovery in NAFLD: insights from metabolomics and vote counting meta-analysis.

BACKGROUND: Despite its prevalence and the significance of early diagnosis, non-alcoholic fatty liver disease (NAFLD), one of the most prevalent liver diseases globally and frequently linked to elements of metabolic syndrome, lacks robustly validated biomarkers for diagnosis, prognosis, and tracking of disease progression in response to a particular treatment. OBJECTIVE: The aim of this study was to catalogue the metabolites from metabolomics data reported by different studies till date, and to find few majorly dysregulated metabolites that can potentially be used as progressive biomarkers of…

Metabolomics-Guided Genomic Comparisons Reveal Convergent Evolution of Hibernation Genes in Mammals.

Hibernation exists in several unrelated mammalian lineages, allowing animals to survive extreme 0environmental conditions through profound physiological shifts, including reduced metabolic rate, heart rate, respiration, and body temperature. These physiological shifts allow hibernators to rely solely on fat reserves, simultaneously avoiding the adverse effects of prolonged immobility seen in nonhibernating species. Although research on individual species has highlighted key aspects of these adaptations, the genetic basis of hibernation across mammals remains poorly understood. Synthesizing bot

Targeting Metabolomics in Primary Hypertrophic Osteoarthropathy: Uncovering Novel Insights into Disease Pathogenesis.

CONTEXT: Primary hypertrophic osteoarthropathy (PHO) is a rare genetic disorder characterized by skeletal and skin abnormalities. Genetic defects in prostaglandin E2 (PGE2) metabolism are known to cause PHO. However, the global impact and clinical significance of eicosanoids and oxylipins beyond PGE2 remain to be elucidated. OBJECTIVE: This study aimed to investigate oxylipin networks in PHO, including the 2 subtypes, PHOAR1 and PHOAR2, and examine their associations with clinical characteristics. METHODS: We conducted a targeted metabolomic study involving 16 patients with PHO and 16 age- a

Hepatotoxicity Mechanisms of Sirolimus and Everolimus Unveiled Through Metabolomics and Transcriptomics Analysis.

Sirolimus and everolimus, two representative inhibitors of the mammalian target of rapamycin (mTOR), have distinct therapeutic effects on numerous paediatric diseases that do not have specific treatments, particularly vascular abnormalities, but their safety regarding the growth and development of children is still worth considering. The most frequent adverse reaction in clinical practice, elevated liver enzymes, has not yet been thoroughly investigated to determine whether it is hepatotoxic to growth and development. In this study, experiments with zebrafish models revealed that sirolimus and

Metabolomics in juvenile idiopathic arthritis: A distinct profile in patients under methotrexate.

The objective of the present study was to evaluate biochemical quantitative metabolites in peripheral blood serum samples of Juvenile Idiopathic Arthritis (JIA) patients and healthy controls. A cross-sectional study included 33 post-pubertal JIA (21 without and 12 with Methotrexate (MTX) women and 28 age-matched healthy controls. Metabolomic analyses based on targeted electrospray ionization tandem mass spectrometry were used to identify possible biochemical pathway modifications in serum from JIA patients. The mean current age (p = 0.065) was similar in JIA patients and healthy controls. Curr

Discovery of biological markers for schizophrenia based on metabolomics: a systematic review.

INTRODUCTION AND METHODS: To discover biomarkers for schizophrenia (SCZ) at the metabolomics level, we registered this systematic review (CRD42024572133 (https://www.crd.york.ac.uk/PROSPERO/home)) including 56 qualified articles, and we identified the characteristics of metabolites, metabolite combinations, and metabolic pathways associated with SCZ. RESULTS: Our findings showed that decreased arachidonic acid, arginine, and aspartate levels, and the increased levels of glucose 6-phosphate and glycylglycine were associated with the onset of SCZ. Metabolites such as carnitine and methionine su…

Integrative metabolomics and machine learning identify biomarkers of adolescent social anxiety disorder.

BACKGROUND: Social anxiety disorder (SAD) is one of the most prevalent anxiety disorders in adolescents but remains underdiagnosed due to the lack of objective diagnostic tools. This study aimed to identify serum metabolomic alterations in adolescent SAD patients and to develop an interpretable diagnostic model. METHODS: In this cross-sectional study, serum samples were collected from 78 adolescents, including 42 drug-naive, first-episode SAD patients and 36 matched healthy controls. Untargeted metabolomic profiling was performed, and feature selection was conducted via least absolute shrinka

Oleic acid association with primary angle-closure glaucoma: A finding using metabolomics.

Metabolomics has been used to study ophthalmic diseases for the past several years. However, there was rare metabolomics study was reported about primary angle-closure glaucoma (PACG). The purpose of this study was to explore a two-step metabolomics analysis method for identifying differential metabolites in the aqueous humor of patients with PACG. Aqueous humor samples were collected from 20 patients each with age-related cataracts, acute PACG, and chronic PACG. In the first step, the changed metabolites were identified using a non-targeted metabolic analysis. In the second step, metabolites …

Metabolomics analysis of children with spastic cerebral palsy: a case-control study.

BACKGROUND: Spasticity, pain, fatigue and other secondary consequences of spastic CP may lead to metabolic alterations. The aim of this stud … ic measurements and clinical profiles were collected. Plasma samples were obtained for non-targeted metabolomics. The GC-MS based metabolomics analysis was performed. Metaboanalyst software was used for multivariate analyses, principal component analysis and pathway analyses. RESULTS: Spastic quadriplegia, spastic diplegia and spastic hemiplegia were found in …

An untargeted metabolomics analysis in feces and brain of Orthoflaviviruses-infected mice.

Annually, millions of people are affected by mosquito-borne Orthoflavivirus infections. These include diseases caused by the Dengue virus (DENV), Japanese encephalitis virus (JEV), and Zika virus (ZIKV), posing a formidable challenge to global public health. This research aims to explore the potential role of the Gut-Brain Axis (GBA) in Orthoflavivirus infection, particularly focusing on key metabolites involved in the process of viral invasion into the central nervous system. Given the advantages of metabolomics technology in metabolite identification. Therefore, we employed an untargeted Liq…

Metabolomics analysis of eastern oysters (Crassostrea virginica) exposed to Vibrio cholerae toxin.

Vibrio cholerae (V. cholerae) is a type of bacterium that causes cholera, a severe diarrheal disease globally affecting hundreds of people annually. However, the effect of the V. cholerae toxin on oyster metabolite signatures has not been well studied. In this study, nuclear magnetic resonance (NMR) based metabolomics was applied to investigate the metabolic level response of eastern oysters (Crassostrea virginica) to cholera toxin (CT), under low concentrations. Our study demonstrated that the decrease of branched-chain amino acids (BCAAs) in oysters was a response to CT exposure at low conce…

Метаболомика в множестве склерозов: достижения, проблемы и клинические перспективы - систематический обзор.

Множественный склероз (MS) — хроническое нервно-дегенеративное расстройство с иммунной помощью, характеризующееся воспалением, обезвоживанием и нейронной потерей в центральной нервной системе. Несмотря на успехи в диагностике, нынешние инструменты остаются недостаточно чувствительными и конкретными. Метаболомика стала многообещающим подходом к изучению патофизиологии MS и открытию новых биомаркеров. Этот систематический обзор, проведенный под руководством PRISMA, включал 29 первоначальных исследований с использованием проверенных метаболомических методов у взрослых пациентов с синдромом MS. Пр

Совпадение в аннотации оригинала
Multiple sclerosis (MS) is a chronic, immune-mediated neurodegenerative disorder marked by inflammation, demyelination, and neuronal loss within the central nervous system. Despite advances in diagnostics, current tools remain insufficiently sensitive and specific. Metabolomics has emerged as a promising approach to explore MS pathophysiology and discover no…

Metabolic discrimination of Thymus, Zataria, and Ziziphora genera by NMR-based metabolomics.

Thyme is a commercial spice widely used in food, cosmetics, and pharmaceutical industries. Three popular genera in food and traditional medi … m similar medicinal plants including Zataria and Ziziphora spp. In this study, we applied NMR-based metabolomics using multivariate analyses to develop quality control of thyme and their similar products. Our findings revealed that NMR-based metabolomics can be a useful approach in differentiating Zataria, Thymus, and Ziziphora.

Biomarker Discovery in Liver Disease Using Untargeted Metabolomics in Plasma and Saliva.

Chronic liver diseases, including non-alcoholic fatty liver disease (NAFLD), cirrhosis, and hepatocellular carcinoma (HCC), continue to be a global health burden with a rise in incidence and mortality, necessitating a need for the discovery of novel biomarkers for HCC detection. This study aimed to identify novel non-invasive biomarkers for these different liver disease states. We performed untargeted metabolomics in plasma (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 34) and saliva samples (Healthy = 9, NAFLD = 14, Cirrhosis = 10, HCC = 22) to test for significant metabolite associations w…

Molecular Insights into Transcranial Direct Current Stimulation Effects: Metabolomics and Transcriptomics Analyses.

INTRODUCTION: Transcranial direct current stimulation (tDCS) is an evolving non-invasive neurostimulation technique. Despite multiple studie … de of action. METHODS: To accomplish this, we utilized a broad analytical approach of co-analyzing metabolomics and transcriptomic data generated from anodal tDCS in rat models. Since no metabolomic dataset was available, we performed a tDCS experiment of bilateral anodal stimulation of 200 µA for 20 min and for 5 consecutive days, followed by harvesting the …

Functional metabolomics of the human scalp: a metabolic niche for Staphylococcus epidermidis.

Although metabolomics data acquisition and analysis technologies have become increasingly sophisticated over the past 5-10 years, deciphering a metabolite's function from a description of its structure and its abundance in a given experimental setting is still a major scientific and intellectual challenge. To point out ways to address this "data to knowledge" challenge, we developed a functional metabolomics strategy that combines state-of-the-art data analysis tools and applied it to a human scalp metabolomics data set: skin swabs from healthy volunteers with normal or oily scalp (Sebumeter s…

Follicular Fluid Metabolomics: Tool for Predicting IVF Outcomes of Different Infertility Causes.

Infertility affects approximately 15% of couples at child-bearing ages and assisted reproductive technologies (ART), especially in vitro fer … in composition reflects oocyte developmental competence and embryo viability. With the advances in metabolomics methodology, metabolomics, as an accurate and sensitive analyzing method, has been utilized to explore predictors in FF for ART success. Although FF metabolomics has provided a great possibility for screening markers with diagnostic and predictive v …

Integration of clinical phenoms and metabolomics facilitates precision medicine for lung cancer.

Lung cancer is a common malignancy that is frequently associated with systemic metabolic disorders. Early detection is pivotal to survival i … abolomic atlas of lung cancer. A comprehensive analysis of lung cancer was also conducted combining metabolomics with clinical phenotypes. Furthermore, the differences in plasma lipid metabolites were compared and analyzed among different lung cancer subtypes. Alcohols, amides, and peptide metabolites were significantly increased in lung cancer, while carboxyl …

Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection.

Concerns about the SARS-CoV-2 outbreak (COVID-19) continue to persist even years later, with the emergence of new variants and the risk of disease severity. Common clinical symptoms, like cough, fever, and respiratory symptoms, characterize the noncritical patients, classifying them from mild to moderate. In a more severe and complex scenario, the virus infection can affect vital organs, resulting, for instance, in pneumonia and impaired kidney and heart function. However, it is well-known that subclinical symptoms at a metabolic level can be observed previously but require a proper diagnosis