m+Medelevator.RU
← Поиск публикаций
Molecules (Basel, Switzerland) · 2024

Recent Advances in Therapeutics for the Treatment of Alzheimer's Disease.

Название и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Thawabteh AM, Ghanem AW, AbuMadi S, Thaher D, Jaghama W, Karaman D, Karaman R

Аннотация

The most prevalent chronic neurodegenerative illness in the world is Alzheimer's disease (AD). It results in mental symptoms including behavioral abnormalities and cognitive impairment, which have a substantial financial and psychological impact on the relatives of the patients. The review discusses various pathophysiological mechanisms contributing to AD, including amyloid beta, tau protein, inflammation, and other factors, while emphasizing the need for effective disease-modifying therapeutics that alter disease progression rather than merely alleviating symptoms. This review mainly covers medications that are now being studied in clinical trials or recently approved by the FDA that fall under the disease-modifying treatment (DMT) category, which alters the progression of the disease by targeting underlying biological mechanisms rather than merely alleviating symptoms. DMTs focus on improving patient outcomes by slowing cognitive decline, enhancing neuroprotection, and supporting neurogenesis. Additionally, the review covers amyloid-targeting therapies, tau-targeting therapies, neuroprotective therapies, and others. This evaluation specifically looked at studies on FDA-approved novel DMTs in Phase II or III development that were carried out between 2021 and 2024. A thorough review of the US government database identified clinical trials of biologics and small molecule drugs for 14 agents in Phase I, 34 in Phase II, and 11 in Phase III that might be completed by 2028.

Перевод полного текста: Перевод в очереди

Читать найденный полный текст

https://creativecommons.org/licenses/by/4.0/ Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/ ).

1. Introduction

The pharmaceutical industry has been closely monitoring the advancement of AD therapy in an attempt to progress neurological disease treatment [ 1 , 2 ]. An intricate set of symptoms characterizes AD, a neurodegenerative disease that advances slowly. For this reason, there are still problems associated with this illness that scientists and physicians encounter globally [ 3 , 4 ]. Given the advancing age of the global population, there is a growing demand for effective medicines such as DMTs that have emerged as a promising treatment option. These novel strategies aim to both drastically alter the illness’s trajectory and cure its symptoms, which might make a big difference in the battle against this debilitating condition [ 5 , 6 ].

1.1. Pathophysiological Mechanisms and Symptoms of AD

AD is a progressive neurodegenerative disorder and the leading cause of dementia among older adults, characterized by a gradual decline in cognitive function, memory loss, and behavioral changes, ultimately leading to complete dependence on caregivers [ 7 ].

The pathophysiological process of AD is multifaceted, involving several key hypotheses: the cholinergic, glutamatergic, amyloid, tau protein, inflammatory, microbiota–gut–brain axis, oxidative stress, metal ion, and abnormal autophagy hypotheses, as shown in the summary of AD pathophysiology in Figure 1 [ 8 ]. The cholinergic hypothesis posits that the degeneration of cholinergic neurons, particularly in the basal forebrain, is a central feature of AD and is closely linked to cognitive decline. This hypothesis suggests that a reduction in the synthesis and release of ACh impairs its physiological functions, which are critical for learning, memory, and other cognitive processes. The decline in choline acetyltransferase (ChAT) activity, combined with the detrimental effects of amyloid beta (Aβ) on cholinergic signaling, leads to decreased ACh levels. Consequently, this reduction contributes to the cognitive deficits observed in AD patients. AChE inhibitors, such as donepezil, rivastigmine, and galantamine, have been developed as treatments based on this hypothesis, although their efficacy is limited and they do not halt disease progression [ 7 , 9 ].

The glutamatergic hypothesis posits that dysregulation of glutamate, the main excitatory neurotransmitter in the central nervous system, plays a critical role in the pathogenesis of AD. In AD, there is an over-stimulation of NMDA receptors, which leads to an excessive influx of sodium and calcium ions into neurons. This dysregulation can cause neuronal swelling and initiate various calcium-dependent processes, including the production of reactive oxygen species (ROS), disruption of mitochondrial function, and activation of necrotic or apoptotic pathways, ultimately resulting in excitotoxic damage to neurons [ 10 ].

The amyloid hypothesis emphasizes that the accumulation of Aβ plaques in the brain is a central event in the pathogenesis of AD, leading to neurodegeneration and cognitive decline. Aβ originates from the processing of the amyloid precursor protein (APP) through sequential cleavage by β-secretase and γ-secretase, resulting in various lengths of Aβ fragments, with Aβ40 and Aβ42 being predominant. The hydrophobic C-terminus of Aβ42 facilitates its aggregation and the formation of senile plaques. Mutations in presenilin-1 (PS1) can promote Aβ accumulation through increased production and impaired autophagy functions. However, the relationship between FAD mutations and Aβ levels is complex, and the plaque formation in sporadic AD is influenced by a dynamic imbalance between Aβ production and clearance mechanisms [ 11 , 12 ].

The tau protein hypothesis focuses on the hyperphosphorylation of tau protein leading to its detachment from microtubules, resulting in the formation of neurofibrillary tangles (NFTs) which are a hallmark of AD. Under normal conditions, tau stabilizes microtubules, but pathological conditions disrupt the balance of kinases and phosphatases, causing tau to become hyperphosphorylated. This hyperphosphorylation promotes tau aggregation into paired helical filaments and NFTs, which correlate strongly with clinical symptoms of AD. Additionally, tau pathology is associated with neuroinflammation, as pro-inflammatory cytokines can increase tau transcription and activate inflammatory pathways that further exacerbate tau-related neurodegeneration [ 13 , 14 ].

The inflammatory hypothesis suggests that chronic neuroinflammation plays a significant role in the pathogenesis of AD. This hypothesis posits that various pathological factors, such as Aβ plaques, pro-inflammatory cytokines, and oxidative stress, activate microglia, the central nervous system’s innate immune cells. Upon activation, microglia undergo morphological changes and initiate a variety of inflammatory responses, which can lead to the release of pro-inflammatory mediators that exacerbate neurotoxicity. The persistent activation of microglia may result in a failure to resolve inflammation, contributing to neuronal damage and the cognitive decline associated with AD [ 15 , 16 ].

The microbiota–gut–brain axis hypothesis suggests a bidirectional communication system between the gut and the brain, involving metabolic, endocrine, neural, and immune pathways. Dysbiosis, or disruption of the microbiota’s composition and functionality, can occur due to factors such as dietary changes, antibiotic use, psychosocial stress, or immune irregularities, leading to a compromised intestinal epithelial barrier. This allows harmful substances and microorganisms to enter the bloodstream, triggering systemic inflammation. Such inflammation may enable inflammatory mediators to cross the blood–brain barrier (BBB) and affect microglia, exacerbating neuroinflammation, which ultimately contributes to neuronal degeneration and damage [ 17 , 18 ].

The oxidative stress hypothesis indicates that oxidative stress plays a crucial role in the pathogenesis of AD. It suggests that an imbalance between the production of reactive oxygen species (ROS) and the body’s ability to detoxify these harmful compounds leads to damage of neuronal membrane lipids, proteins, and nucleic acids, ultimately causing neuronal cell death. Key contributors to oxidative stress in AD include mitochondrial dysfunction, which reduces the activities of essential enzymes and disrupts mitochondrial dynamics. This oxidative stress is interconnected with other pathological processes in AD, such as the modulation of APP processing and tau phosphorylation, which leads to the formation of neurofibrillary tangles. Additionally, the presence of free metals and complexes of Aβ can catalyze ROS production, further exacerbating neuronal damage [ 19 , 20 ].

The metal ion hypothesis examines the dysregulation of metal ions, particularly copper, zinc, and iron, which plays a significant role in the pathogenesis of AD. This hypothesis suggests that metal dyshomeostasis can lead to oxidative stress, which is linked to various pathological events in AD, such as amyloidosis and tauopathy. For instance, iron-induced oxidative stress can result in the release of iron from iron-containing proteins, leading to neuronal death through mechanisms like ferroptosis and lipid peroxidation. Similarly, copper can induce toxicity by binding to specific proteins, resulting in cellular damage. Zinc deficiency is also highlighted as a factor that may contribute to glutamate excitotoxicity and synaptic dysfunction in AD. Overall, the accumulation and mismanagement of metal ions are closely associated with the neurodegenerative processes observed in AD [ 21 ].

The abnormal autophagy hypothesis suggests that disruptions in the autophagy process are closely linked to the pathogenesis of AD. Autophagy is essential for maintaining cellular homeostasis by degrading and recycling intracellular protein aggregates and damaged organelles. In AD, autophagy defects can lead to the accumulation of Aβ and the abnormal aggregation of tau protein, contributing to the disruption of protein homeostasis networks. These defects may arise from genetic factors, reduced expression of related proteins, and impaired vesicular transportation, ultimately resulting in the accumulation of damaged organelles, such as dysfunctional mitochondria [ 22 , 23 ].

The most common symptoms of AD are short-term memory loss, which is followed by a progressive impairment in both implicit and explicit memory. Those who have the condition also exhibit neuropsychiatric symptoms, and with time, they lose their ability to perform basic daily duties [ 24 , 25 , 26 , 27 , 28 ]. AD is categorized into three stages: mild, moderate, and severe [ 24 , 25 , 26 , 27 , 28 ]. The signs and symptoms of AD in each of its three stages are included in Table 1 .

Patients with AD and their families, as well as the healthcare system, bear a heavy burden. Families must deal with social, economic, and emotional difficulties as the illness worsens. The emotional toll is high, causing worry, despair, and exhaustion in those who provide care [ 35 , 36 ].

1.2. Causes and Factors of AD

Understanding the fundamental causes of AD is crucial to developing effective medicines and interventions. The various causes of AD will be looked at in this review, with a focus on inherited, environmental, and lifestyle factors [ 29 , 37 , 38 ].

One of the main variables that causes AD is genetics. Certain genes that are inherited have been connected to the condition as risk factors. The two main gene categories associated with AD are deterministic and risk-factor genes [ 29 , 37 ]. Deterministic genes are not always the direct cause of AD. The most well-known genes are those for presenilin-1 (PSEN1), presenilin-2 (PSEN2), and amyloid precursor protein (APP). Mutations in these genes can cause early-onset familial AD, which often manifests before the age of 65 [ 38 ].

According to studies, having these gene mutations practically guarantees that a person will develop the sickness [ 39 , 40 , 41 ]. The most well-known risk-factor gene is apolipoprotein E (APOE). The AD risk is greatly increased by the APOE ε4 allele. A person with one copy of this allele is more likely to be affected than a person with two copies [ 42 , 43 , 44 ].

AD has been linked to a number of environmental variables in addition to genetic predispositions [ 37 ]. Dementia risk has been shown to rise with toxic exposure to heavy metals as lead, mercury, and aluminum [ 45 , 46 , 47 , 48 ]. Moreover, exposure to air pollution may worsen neuroinflammation and cognitive decline [ 49 , 50 ]. Furthermore, several studies have connected lifestyle choices to a higher risk of AD [ 51 ]. AD risk factors include obesity, diabetes, high blood pressure, and high cholesterol [ 51 , 52 , 53 ].

Furthermore, sedentary lifestyles and bad dietary habits, such as consuming large amounts of carbs and saturated fats, have been connected to an increased risk [ 54 , 55 , 56 , 57 ]. Conversely, maintaining cardiovascular health, eating a balanced diet rich in antioxidants, and exercising frequently can all lower the incidence of AD [ 55 , 58 ]. Figure 2 summarizes the causes and factors of AD.

2. Disease-Modifying Therapeutics

The concept of disease-modifying treatments, or DMTs, has gained a lot of momentum in the medical community, particularly in the treatment of chronic illnesses like AD and Multiple Sclerosis (MS). DMTs are treatments that postpone, moderate, or even reverse the evolution of an illness by addressing its underlying cause. They are not the same as symptomatic therapies, which focus on the symptoms of a disease without addressing its root cause [ 6 , 59 , 60 ].

2.1. Definition of DMT

DMTs are a family of medications designed to change the course of a disease rather than only cure its symptoms. DMTs consist of three primary components: therapy, sickness, and modification [ 37 , 59 ]. DMTs are intended to delay the progression of long-term conditions such as AD and ultimately improve the patient’s quality of life [ 60 ].

Based on their mechanisms of action, these treatments can be divided into several categories, including immunomodulatory medications, neuroprotective medications, and others that target specific pathways connected to disease processes [ 61 , 62 , 63 ].

While symptomatic therapies may provide immediate relief from pain or fatigue, DMTs specifically work to change the immune response or repair brain damage [ 64 , 65 ]. This shift in focus is crucial for treating progressive illnesses because it addresses both the disease’s symptoms and the underlying issues that cause it to worsen [ 61 , 65 , 66 , 67 ].

2.2. Purpose of DMT

The primary goal of DMTs for AD patients is to slow the rate of cognitive decline [ 66 , 67 , 68 ]. These therapies aim to preserve neuronal connectivity and function by concentrating on specific pathological pathways [ 69 , 70 , 71 ]. Amyloid-beta buildup in the brain is believed to be crucial for the onset and progression of AD, and certain DMTs target this accumulation [ 70 , 71 , 72 ].

Lowering amyloid levels may help to lessen the disease’s related neurodegeneration and cognitive impairment, according to research [ 73 , 74 ]. Enhancing neuroprotection is one of DMTs’ main objectives [ 74 ]. This entails protecting neurons from oxidative stress and inflammation, among other potential causes of injury [ 73 , 74 , 75 ]. Neuroprotective drugs may be able to postpone the development of more severe symptoms by preserving the health and function of neurons [ 76 , 77 ]. Furthermore, some DMTs work to support neurogenesis, the process that results in the formation of new neurons, which will support cognitive function even as the disease advances [ 78 ]. Moreover, DMTs work to prolong patients’ independence as much as possible in order to enhance their general quality of life [ 79 , 80 , 81 ].

These treatments can help patients to maintain their everyday functioning and cognitive capacities by altering the course of the disease, enabling them to participate more fully in their lives and communities [ 60 ]. Since amyloid-beta (Aβ) plaques and tau tangles are characteristic of AD and are thought to be important in the onset and development of the disease, the main focus of these therapies has been on removing or reducing them. Research indicates that lowering amyloid levels may help to mitigate the neurodegeneration and cognitive impairment associated with the disease [ 82 , 83 , 84 ].

2.3. Mechanisms of Action

The development of amyloid-beta (Aβ) plaques, neuroinflammation, hyperphosphorylation of tau protein resulting in neurofibrillary tangles, and synaptic dysfunction are among the pathophysiological features of AD. DMT does more than merely treat symptoms; it aims to change the fundamental path of the disease. DMTs use a variety of processes to accomplish their objectives; these mechanisms are intricate and varied. Based on how they work, DMTs can be divided into a number of categories [ 37 , 76 , 83 ].

2.3.1. Amyloid Targeting Therapies

The focus of efforts to treat AD, a neurodegenerative condition marked by progressive cognitive deterioration, has shifted to amyloid-targeting medicines. The main goal of these treatments is to lessen or completely eradicate beta-amyloid (Aβ) plaques in the brain, which are thought to be a major factor in the development of AD [ 85 , 86 , 87 ].

A protein called amyloid beta collects in the brains of people who have AD to create plaques. It is believed that the buildup of these plaques sets off a series of neurological events that eventually result in cognitive loss. Studies have shown that Aβ buildup can start 15–20 years before clinical symptoms appear, indicating that therapy effectiveness may depend on early intervention [ 88 , 89 ]. According to the amyloid cascade hypothesis, tau protein tangles and neuroinflammation are brought on by Aβ aggregation, which in turn leads to neuronal death and cognitive decline [ 90 , 91 , 92 ].

Even with the theoretical underpinning that the amyloid hypothesis offered, there have been several obstacles in the way of turning this information into practical treatments. Several clinical investigations focusing on Aβ have produced contradictory findings, casting doubt on the veracity of the amyloid theory in general. While lowering Aβ levels can decrease cognitive deterioration, not all patients will definitely see improved clinical outcomes from this strategy, according to certain research [ 86 , 93 ]. This intricacy emphasizes the necessity of a comprehensive comprehension of Aβ’s function in AD and the processes through which amyloid-targeting treatments function. Based on the amyloid cascade theory. The amyloid-targeting therapy medications are discussed in Section 3 . The principal Aβ-targeted therapies’ method of action is illustrated in Figure 3 .

2.3.2. Tau-Targeting Therapies

In the effort to create potent AD therapeutics, tau-targeting medicines have taken center stage. In contrast to the amyloid-beta (Aβ) plaques that are the subject of more extensive research, tau protein abnormalities, like hyperphosphorylation and aggregation, are becoming more well acknowledged for their important role in the development of AD. Tau is a protein that is associated with microtubules and is essential for preserving the structure and functionality of neurons. Tau maintains microtubules in healthy neurons, which are necessary for intracellular transport. However, tau experiences pathogenic alterations in AD, such as hyperphosphorylation, which results in the development of neurofibrillary tangles. Given their strong correlation with cognitive decline and neurodegeneration, tau is an attractive target for therapeutic intervention [ 13 , 14 ].

Research has indicated that tau pathology has a stronger correlation with cognitive deficits than Aβ plaques, indicating that treatment benefits from targeting tau may outweigh those from concentrating only on amyloid clearance [ 94 , 95 ]. Over time, our knowledge of tau’s function in AD has changed dramatically. The focus of early studies was on the aggregation mechanism of tau and its post-translational alterations. Nevertheless, as the complexities of tau disease became more apparent, scientists started looking into other ways to prevent tau aggregation and support tau’s healthy operation. This change in emphasis has made room for novel treatment strategies meant to lessen the consequences of tau-related neurodegeneration [ 13 , 95 ].

In clinical trials, immunotherapies make up the majority of tau-targeting treatments. The aim of these treatments is to trigger an immunological reaction against tau proteins, which will help to remove them from the brain. Passive immunization with monoclonal antibodies and active immunization techniques that encourage the body’s immune system to generate its own antibodies against tau are two examples of different immunotherapeutic treatments [ 96 , 97 ].

Preclinical research has indicated the potential for multiple immunotherapies that target tau. In animal models, case in point, antibodies that bind selectively to phosphorylated tau have shown promise in lowering tau pathology. Numerous clinical trials aimed at assessing the safety and effectiveness of these medicines in humans have been prompted by these discoveries. These treatments aim to directly target tau, which should slow or even stop the progression of AD. Apart from immunotherapies, alternative therapeutic approaches have also been investigated. These include substances that stabilize microtubules to return tau function to normal and tiny molecules that prevent tau from aggregating. But a lot of these methods have had difficulties in the clinic, frequently because of problems with toxicity or ineffectiveness [ 95 , 98 ]. Based on the tau-targeting theory. The principal tau-targeting therapies’ route of action is shown in Figure 4 .

2.3.3. Neuroprotective Therapies

It is possible to overexpress heat shock proteins (HSPs), which are neuroprotective agents. A molecular chaperone is a protein, such as HSPs, that aids in the folding or unfolding of other non-native proteins. The majority of neurodegenerative illnesses, including AD, are primarily caused by cell death, which is brought on by misfolding and aggregating proteins. Molecular chaperones can be classified as either external (clustered proteins, such alpha-macroglobulin and clustering) or intracellular (heat shock proteins, such as Hsp40, Hsp60, Hsp70, Hsp90, Hsp100, and Hsp110) [ 37 , 99 , 100 ]. Protein folding depends on HSPs, which also protect cells from harmful stress-related events. The following are the two groups of HSPs: (a) classic HSPs, whose molecular weight of ATP-binding sites is at least 60 kDa. Hsp100, Hsp90, Hsp70, and Hsp60 are members of this family, in addition to (b) the tiny HSPs with a molecular weight of 40 kDa or less, which include αB-crystalline, Hsp27, Hsp20, HspB8, and HspB2/B3. These proteins are able to assist other HSPs in their function of refolding. Inadequate operation of these systems can lead to oxidative stress, mitochondrial dysfunction, and various other pathological conditions that damage the body, cause neuronal death, and exacerbate dementia. Amyloidogenic proteins (Aβ) and tau are two examples of heat-shock proteins (HSPs) that can both promote and inhibit the aggregation of misfolded proteins [ 37 , 101 ].

3. AD Current Treatment Drugs

According to the theory that AD results from a reduction in the production of acetylcholine (ACh), blocking the enzyme acetylcholinesterase, which breaks down acetylcholine in synapses, will raise cholinergic levels. Without affecting the disease’s course, this leads to a persistent build-up of acetylcholine and the activation of cholinergic receptors, which enhances cognitive and brain cell performance. Donepezil, galantamine, and rivastigmine are the cholinesterase inhibitors that are most frequently prescribed [ 102 , 103 , 104 , 105 , 106 ].

The second generation of AChEIs, donepezil (labeled as 1 , Figure 5 ), is an indanonebenzylpiperidine derivative that is authorized for the treatment of AD in all phases. By reversibly binding to acetylcholinesterase, it slows the hydrolysis of acetylcholine, increasing the concentration of ACh at synapses [ 106 , 107 ]. The gastrointestinal and neurological systems are the subjects of modest, temporary cholinergic side effects that are well-tolerated with donepezil [ 106 , 107 , 108 , 109 ]. With a dual mode of action, galantamine (labeled as 2 , Figure 5 ) is a selective tertiary isoquinoline alkaloid that may both bind allosterically to the α-subunit of nicotinic acetylcholine receptors and activate them, as well as competitively inhibit AChE [ 110 , 111 ]. It is a first-line medication for mild-to-severe AD that has a good efficacy and tolerability in improving behavioral symptoms, activities of daily living, and cognitive performance [ 110 , 112 , 113 ]. ACh metabolism is inhibited by rivastigmine ( 3 , Figure 5 ), a pseudo-irreversible inhibitor of AChE and butyrylcholinesterase (BuChE) [ 114 , 115 , 116 ]. It is referred to as pseudo-irreversible because it dissociates more slowly than AChE. AChE and BuChE metabolize it at the synapse [ 115 , 116 ]. It is authorized for use in mild-to-moderate Parkinson’s disease dementia and mild-to-moderate AD [ 116 , 117 , 118 ].

Even if the medicine becomes more tolerated with time, oral delivery is linked to unfavorable effects that affect adherence. Nausea, vomiting, dyspepsia, asthenia, anorexia, and weight loss are some of these side effects. Compared to oral pills, transdermal patches are more pleasant and provide a smaller dosage, which leads to fewer side effects. Since AD patients have memory and swallowing issues that make it difficult for them to take oral medications as prescribed, transdermal patches are the best way to administer rivastigmine to these patients [ 119 , 120 , 121 ].

The neurotoxicity seen in AD patients is caused by the glutaminergic system being overactivated, which is inhibited by memantine (labeled as 4 , Figure 5 ), an NMDAR low-affinity uncompetitive antagonist [ 37 , 122 , 123 , 124 ]. Memantine is safe and well-tolerated; it is used to treat moderate-to-severe AD alone or in combination with AChEI [ 124 , 125 , 126 ]. For moderate-to-severe AD dementia, a combination of a glutamate regulator (memantine) and a cholinesterase inhibitor (donepezil) is approved [ 127 , 128 , 129 ]. Constipation, headache, nausea, vomiting, lack of appetite, increased frequency of bowel movements, dizziness, disorientation, and headaches are among the side effects [ 127 , 128 , 129 ].

The first disease-modifying medication for AD is a recombinant monoclonal antibody called aducanumab, also known by the brand name Aduhelm. It targets amyloid beta specifically [ 37 ]. It functions by lowering the quantity of amyloid deposits or brain plaques [ 130 , 131 ]. Aducanumab should only be explored for people with moderate AD or mild cognitive impairment (MCI) resulting from AD itself. Every four weeks, an intravenous (IV) dose is administered [ 132 , 133 ]. Aducanumab has been given FDA approval under the expedited approval pathway to treat moderate AD [ 134 , 135 , 136 ]. The reduction in amyloid-beta brain plaques, a purported surrogate endpoint that indicates the “progression” of AD, and the encouraging clinical outcomes in one of the two pivotal Phase III trials were two of the factors cited for aducanumab’s expedited approval [ 130 , 134 , 135 , 136 ].

Lecanemab (LEQEMBI, brand name), a different monoclonal antibody known as humanized immunoglobulin G1 (IgG1), which specifically targets aggregated forms of amyloid beta, was also given fast approval by the FDA earlier in the year [ 134 , 135 , 136 ]. Patients who are at a suitable stage of the disease as when treatment was started in clinical trials—mild cognitive impairment/mild dementia—should begin LEQEMBI. There is insufficient safety or efficacy information on starting treatment sooner or later than in the conducted studies [ 137 , 138 , 139 ].

3.1. Oral Immunotherapies or Small Molecules Containing DMTs

Amyloid-beta (Aβ) and tau proteins, which are essential to the pathophysiology of the illness, are the usual targets of DMT for AD. A number of immune therapies, such as AN-1792, a synthetic Aβ peptide (human Aβ1-42 peptide with immune adjuvant QS-21), have been developed and tested for the treatment of AD. However, AN-1792 was withdrawn during Phase II of the trial due to side effects associated with meningoencephalitis, which were reported in 6% of patients [ 140 , 141 , 142 , 143 , 144 ]. Clinical trials have investigated many anti-Aβ antibodies, such as solanezumab [ 145 , 146 ], bapineuzumab [ 147 , 148 , 149 ], and aducanuamb. Additionally, gantenerumab [ 150 , 151 , 152 ] and crenezumab [ 92 , 147 , 149 ] were examined. These are intended to target brain amyloid-beta plaques, but their efficacy has been met with a number of obstacles. CAD106, a further active Aβ immunotherapy, is presently undergoing clinical development. It involves administering multiple doses of the whole Aβ1–6 peptide linked to the ADP-Q carrier, a virus-like particle that generates high-titer anti-Aβ antibodies [ 140 , 141 , 153 , 154 ].

Most of the small compounds used in AD therapy are directed towards important enzymes and pathways that are involved in the processing of tau or amyloid-beta proteins. This includes γ-secretase inhibitors, such as tarenflurbil ( 7 , Figure 5 ) [ 155 , 156 ], avagacestat (labeled as 6 , Figure 5 ) [ 157 , 158 ], and semagacestat ( 5 , Figure 5 ) [ 159 , 160 ].

Their purpose is to lower the synthesis of amyloid beta by preventing the gamma secretase enzyme from functioning. In order to decrease the synthesis of amyloid beta, β-secretase inhibitors (BACE inhibitors) such lanabecestat (labeled as 8 , Figure 5 ) [ 157 , 161 , 162 ], verubecestat (labeled as 9 , Figure 5 ) [ 157 , 163 , 164 ], and atabecestat (labeled as 10 , Figure 5 ) target the enzyme Bace-1 [ 157 , 165 ]. Similar to other BACE-1 inhibitors, CNP520 (umibecestat (labeled as 11 , Figure 5 )) has been shown to reduce the burden of amyloid-beta plaques in preclinical animals; it is presently undergoing testing phases [ 157 , 166 , 167 ].

The purpose of the second class of tiny compounds, known as tau aggregation inhibitors, is to stop or interfere with the development of harmful tau aggregates. Due to problems with binding efficiency, which show up as blue discolorations in urine, methylene blue (labeled as 12 , Figure 5 ), which was also tried in Phase II clinical trials for mild-to-moderate AD (for suppressing tau aggregation), has drawn a lot of criticism [ 168 , 169 , 170 ].

Tideglusib (NP-031112 (labeled as 13 , Figure 5 )), an inhibitor of GSK3β, targets tau hyperphosphorylation, which is required for the development of tau tangles [ 171 , 172 , 173 ]. The tyrosine kinase inhibitor saracatinib (AZD0530 (labeled as 14 , Figure 5 )) is undergoing Phase II trials [ 174 , 175 , 176 ] and has been demonstrated to improve memory in transgenic mice models of AD. When taken as a whole, these tiny compounds and immunotherapies offer a more comprehensive strategy for changing AD by focusing on many pathogenic processes that are involved in the illness [ 37 ].

PDE4 inhibitors, which are oral small compounds that selectively inhibit PDE4, an enzyme involved in controlling cAMP levels, include roflumilast ( 15 , Figure 5 ), which may lessen inflammation and increase neuronal survival [ 177 , 178 , 179 , 180 ]. Scientists are beginning to investigate whether they could be helpful for neurological illnesses, even though they have primarily been studied for conditions including asthma and chronic obstructive pulmonary disease (COPD) [ 181 ].

3.2. Recent DMT’s Clinical Trials

The most recent list of studies was provided by the 2024 AD drug development pipeline, which includes 164 trials (of which 127 are exploring possible treatments or medicines). There were slightly fewer trials overall than the year before. Of these trials, 41% look into disease-modifying small molecule medications, 34% look into biological agents that change disease, and the remaining trials focus on treatments that improve cognitive function or address neuropsychiatric symptoms linked to ADs [ 68 , 70 , 71 , 182 , 183 , 184 ]. Among the many pharmacological targets investigated in these studies are synaptic plasticity, neurotransmitter receptors, inflammation, and amyloid.

The process of creating medications to treat AD involves several possible clinical outcomes in various stages of the clinical process. In Phase I, there are 26 trials assessing 25 agents. Phase II trials (90 studies, 81 medicines): these trials continue to investigate the drugs’ safety and efficacy. Phase III trials, including 48 trials that tested 32 medications [ 37 , 183 , 184 ].

Aducanumab demonstrated inconsistent outcomes in its two main clinical trials, the Phase III EMERGE and ENGAGE research investigations. In the EMERGE experiment, when participants with AD were at risk for cognitive deterioration, there was a decrease in the amount of amyloid-beta plaques. But ENGAGE did not demonstrate the same effectiveness. In spite of this, the FDA granted expedited approval on the grounds of the EMERGE trial’s documented decrease in amyloid levels [ 132 , 185 , 186 , 187 ]. Lecanemab’s capacity to lower the amount of amyloid in the brain, as shown by PET scans, has led to its submission for expedited approval for the treatment of AD. After 79 weeks, lecanemab was found to have a lower total brain amyloid plaque burden than a placebo (Study 201). In particular, a mean difference of −73.5 centiloides and −0.31 standardized uptake value ratio (SUVR) units was found between the lecanemab and placebo treatment groups. Additionally, the treatment impact increased in a dose- and exposure-dependent manner; a 25% AUC therapy was probably superior to a placebo by >0.64. The study also suggested at week 79 that a risk reduction of 20% to 40% be applied to the advancement of clinical symptoms [ 187 , 188 ].

The effectiveness and safety of several monoclonal antibodies used to treat AD were assessed by meta-analyses of monoclonal antibodies. While both aducanumab and lecanemab slowed cognitive decline and reduced amyloid plaques, they were more likely to cause amyloid-related imaging abnormalities (ARIAs), which are thought to be the most significant side effect of both drugs. Aducanumab in particular was more likely to cause ARIA-E (edema) [ 37 , 92 ].

The US government database of clinical research studies and information, information from which is shown in Table 2 and Table 3 , summarizes the clinical trials of disease-modifying biological agents and the clinical trials of disease-modifying small molecule drugs, respectively. These tables represent agents in the three phases of disease-modifying agents’ development for AD [ 38 , 46 , 68 , 70 , 71 , 157 , 182 , 183 , 189 ].

Challenges in AD Therapeutic Development

Disease heterogeneity

The interplay between phenotypes and genotypes is part of the heterogeneity of AD. Cognitive, neurological, psychological, and functional deficits are complicated and different as a result of these interactions with environmental factors. More and more research is recognizing the etiological and clinical heterogeneity of AD as a hallmark of AD and related diseases (ADRDs), which makes it more difficult to diagnose, treat, and develop and test new medications for AD. More work has to be conducted to take this variability into account in order to improve the results of AD clinical trials [ 190 , 191 , 192 ].

Blood–brain barrier penetration

An important impediment to the development of AD medications is the blood–brain barrier (BBB), which prevents potential drug candidates from entering the brain parenchyma. The BBB is impermeable to 98% of small molecules and around 100% of large molecules in relevant quantities. For a medicine to penetrate the blood–brain barrier, its physicochemical properties—such as its polar surface area, molecular weight, and lipophilicity as assessed by hydrogen bonding ability—are essential. A molecular weight less than 450 Daltons, a polar surface area less than 90 Å2, and a hydrogen bond donor number less than 3 are characteristics of candidates for BBB penetration. The indicated BBB penetration values are inconsistent with the physicochemical characteristics of monoclonal antibodies (solanezumab, aducanumab, bapineuzumab) or gamma-secretase inhibitors (semagacestat, tarenflurbil) [ 193 , 194 , 195 ].

Biomarkers and patient selection

AD clinical trials must have larger trial numbers and may include trial subpopulations referred to as “slow/no progressors” since they show little or no progression of the disease over time. This phenomenon is most likely caused by uncertainties in AD pathophysiology, such as the lack of validated diagnostic biomarkers and the low specificity of clinical diagnosis. This has been made worse by the increased focus given to the predementia stages of the disease: (1) asymptomatic predementia, also referred to as the preclinical phase or Stage 1–2, and (2) symptomatic predementia, also known as amnestic MCI or Stage 3.

Regulatory challenges

One of the regulatory obstacles in creating DMTs for AD is the insufficient knowledge and ability of regional regulatory organizations, in addition to post-study medication administration and sustained treatment supply. Moreover, there are several review levels with conflicting results and different guidelines for participant reimbursement for trial-related injuries. Moreover, biobanking and repository research are being scrutinized and restricted more harshly [ 196 , 197 ].

4. Future Directions and Emerging Therapies in DMT

Novel targets for DMT

The accumulation of tau protein in neurofibrillary tangles, which is known as tau protein modulation, provides a novel venue for disease modification. The goal of tau treatments is to prevent tau from aggregating and spreading. Numerous approaches, such as tau aggregation inhibitors, are being studied in an effort to address the tau protein problem and prevent tau tangle formation. Techniques for tau immunotherapy, such as those being tried with AADvac1, function by teaching the immune system to eliminate aberrant tau proteins from the brain. First, there is evidence that tau vaccinations may slow the disease’s course by reducing tau protein accumulation [ 198 , 199 , 200 , 201 ].

Inflammation, or neuroinflammation, is a crucial factor in the mechanisms behind AD. In the healthy aging human brain, amyloid-β plaques have the ability to cause persistent inflammation in microglia, which are the brain’s resident immune cells. TREM2 receptor interaction plays a key role in identifying microglia for the build-up of debris and damage during the regulation of microglial activation. TREM2 agonists are being investigated as potential therapeutic agents since they reduce inflammation and encourage amyloid-beta microglial phagocytosis [ 202 , 203 , 204 , 205 ].

Research on cytokine inhibition has focused on anti-inflammatory medications that interact with pro-inflammatory cytokines such as TNF-a and IL-1 beta. Treatment options for neuroinflammation associated with AD have been investigated, including IL-1β antagonists such as canakinumab [ 206 , 207 , 208 ]. Regarding the plasticity of synapses and neurodefense, it has been found that the decline in cognitive abilities in ADs is positively correlated with the breakdown of synaptic connections. Consequently, neurotransmitter modulation is useful. Cholinesterase inhibitors and NMDA receptor antagonists are the only two categories of medications that are prescribed to address symptoms [ 208 ].

Even more targeted strategies are being developed to enhance neurotransmitter activity. Examples of medications that may improve synaptic function include those that allosterically increase the M1 muscarinic acetylcholine receptor [ 209 , 210 ]. In order to preserve microtubules and maintain neuronal function, neuroprotective agents—substances such as NAP, the activity-dependent neuroprotective protein generated from ADNP—have been shown to be useful in preventing the death of neurons [ 211 , 212 ].

Precision Medicine Approaches

For ADs, precision medicine focuses on genetic and biomarker analysis to improve therapy approaches, risk assessment, and diagnosis. PSEN1 and PSEN2 mutations, which are closely associated with early-onset AD and impact the γ-secretase cleavage products, such as Aβ, are important genetic factors. These mutations have been linked to a high frequency of seizures, accounting for about 32% of cases. They may also be the cause of neuroinflammation by activating microglia and producing inflammatory cytokines. Furthermore, several risk loci associated with apoptosis and Wnt/β-catenin signaling pathways, including USP6NL/ECHDC3, PFDN1/HBEGF, BZRAP1-AS1, and TPBG, have been identified by genome-wide association studies (GWAS) [ 37 , 213 , 214 ].

The field of biomarkers is dominated by blood-based markers, including heart-type fatty acid-binding protein (HFABP), neurofilament light chain (NFL), neuron-specific enolase (NSE), total tau (t-Tau), phosphorylated tau (p-Tau), and monocyte chemoattractant protein-1 (MCP-1). These markers provide information about the underlying pathophysiology of AD and are crucial for detecting the disease, especially in those who have memory problems. With the use of fluorodeoxyglucose (FDG)-PET, magnetic resonance imaging (MRI), and positron emission tomography (PET) imaging for the detection of tau and amyloid proteins, neuroimaging techniques have significantly advanced precision medicine in AD. This allows for disease stratification and may even facilitate an earlier diagnosis [ 214 , 215 ].

The field of AD precision medicine has been significantly improved by the application of artificial intelligence. Artificial intelligence (AI) has transformed the processing, integration, and analysis of large-scale data produced by wearable sensors and “OMICS” or “EXPOsOMICS”-based measurement methodologies. AI includes machine learning (ML), deep learning (DL), and artificial neural networks (ANN). These AI systems are very good at finding patterns, assessing large volumes of data, and forecasting the likelihood of developing diseases. AI systems have been approved by the US Food and Drug Administration (FDA) for enhancing medical imaging assessments, including the identification of suspicious lesions [ 37 , 213 , 216 ]. These systems have demonstrated notable advances in diagnostic performance, particularly in radiology.

Combination Therapies

Combination therapies of the pharmacodynamic and pharmacokinetic types are available. Pharmacodynamic agent combinations for AD may consist of DMTs, which change the course of the disease, or symptomatic medicines, which reduce the symptoms without changing the course of the disease. As an illustration, ongoing clinical trials combine novel DMT- or symptomatic-based treatments with standard-of-care medications (such as memantine or cholinesterase inhibitors) [ 217 , 218 , 219 ]. Combination therapy is another example; it targets different pharmacologic targets (such as tau and amyloid) or targets pathways sequentially by using successive combinations. Another type of combination therapy is represented by multifunctional compounds, which incorporate several activities or targets into a single medication. One example of this is rasagiline, which combines neuroprotective and amyloid-processing properties with monoamine oxidase B inhibition [ 217 ].

It becomes a comprehensive care paradigm when pharmacological therapies are combined with lifestyle changes, cognitive training, and psychosocial support. This approach is adaptable enough to be customized for every single patient, ensuring optimal treatment outcomes [ 220 , 221 ].

5. Prospects for the Future of Phytochemical Treatment of AD

Here, we thoroughly examined herbal therapy approaches, which have long been a popular therapeutic choice for the treatment of AD. Finding preventative drugs derived from conventional herbal remedies is one approach to treating AD.

New advances in synthetic biology and genomics open up new avenues for discovering and using the medicinal properties of plants. The search for new leads in AD treatment could be fruitful if herbal remedies are evaluated for lead chemicals based on their physicochemical properties and predicted BBB actions.

Science and well-studied customs will once again take the stage as the world’s natural cures prepare to enter an exciting new chapter. Future research may focus on natural substances that have the capacity to cross the blood–brain barrier, extended therapeutic windows, distinct pharmacological goals, and minimal side effects.

6. Conclusions

AD is a neurological condition that worsens with time and mostly affects cognitive abilities in the brain. It causes disorientation, memory loss, behavioral abnormalities, and personality changes.

AD is a debilitating disorder that is expected to become more frequent as our society ages. Only a small percentage of AD patients benefit from the two DMTs that are currently approved for therapy. Discovering novel drugs and therapies that not only treat the disease’s symptoms but also stop or reverse its progression is crucial. Fortunately, there are other DMTs being developed that might be approved by the FDA. It is important for practicing practitioners to understand the various therapeutic aims of these new drugs.

A DMT with a particular therapeutic target may be more effective than other DMTs with different targets due to the complex and all-encompassing pathogenesis of AD, particularly if the therapeutic target of the DMT being administered aligns with the most salient pathological findings of the subpopulation.

Nevertheless, several natural compounds have demonstrated potential for treating AD in both in vitro and in vivo studies. However, because humans and animals in studies differ physiologically, clinical trials are still necessary to verify the safety and efficacy of these drugs.

However, additional research comparing DMTs with diverse therapeutic targets and their effectiveness in treating various patient groups with AD is required for validation. Certain dysregulated proteostasis, dysregulated circadian rhythms, inflammation, oxidative stress, tau proteinopathies, and dysregulated metabolism may all be treated therapeutically with some DMTs. Some DMTs that are awaiting FDA approval focus on neuroprotection or increasing neuroplasticity in an effort to slow the progression of AD. In addition, in order to effectively control AD over the long term, thorough study on each herb’s extraction method, dosage, group, mechanism of action, effectiveness, etc., must be conducted in carefully planned clinical trials.

Acknowledgments

Figure 1 , with the title of “Pathophysiology of the AD hypothesis” was reproduced with permission: Title: “Diagram for the pathogenesis of AD, including the cholinergic hypothesis, the glutamatergic hypothesis, the amyloid hypothesis, the tau protein hypothesis, the inflammatory hypothesis, the microbiota–gut–brain axis hypothesis, the oxidative stress hypothesis, the metal ion hypothesis, and the abnormal autophagy hypothesis.”. Authors: Jifa Zhang, Yinglu Zhang, Jiaxing Wang, Yilin Xia, Jiaxian Zhang, and Lei Chen. Source “Recent advances in Alzheimer’s disease: mechanisms: clinical trials and new drug development strategies.”. License: “CC BY 4.0.”.

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Author Contributions

A.M.T., A.W.G., S.A., D.T., W.J., D.K. and R.K. wrote and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Ethical review and approval were waived for this review, which does not report new experimental results obtained by authors but contains a summary of already published data.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

References

1. Qiu S. Miller M.I. Joshi P.S. Lee J.C. Xue C. Ni Y. Wang Y. De Anda-Duran I. Hwang P.H. Cramer J.A. Multimodal Deep Learning for Alzheimer’s Disease Dementia Assessment Nat. Commun. 2022 13 3404 10.1038/s41467-022-31037-5 35725739 PMC9209452

2. Hassan N.A. Alshamari A.K. Hassan A.A. Elharrif M.G. Alhajri A.M. Sattam M. Khattab R.R. Advances on Therapeutic Strategies for Alzheimer’s Disease: From Medicinal Plant to Nanotechnology Molecules 2022 27 4839 10.3390/molecules27154839 35956796 PMC9369981

3. Ekundayo T.C. Olasehinde T.A. Okaiyeto K. Okoh A.I. Microbial Pathogenesis and Pathophysiology of Alzheimer’s Disease: A Systematic Assessment of Microorganisms’ Implications in the Neurodegenerative Disease Front. Neurosci. 2021 15 648484 10.3389/fnins.2021.648484 33994926 PMC8113417

4. Toader C. Dobrin N. Brehar F.-M. Popa C. Covache-Busuioc R.-A. Glavan L.A. Costin H.P. Bratu B.-G. Corlatescu A.D. Popa A.A. From Recognition to Remedy: The Significance of Biomarkers in Neurodegenerative Disease Pathology Int. J. Mol. Sci. 2023 24 16119 10.3390/ijms242216119 38003309 PMC10671641

5. Iwatsubo T. Molecular Pathogenesis and Disease-modifying Therapies of Alzheimer’ s Disease and Related Disorders JMA J. 2022 5 307 313 35992282 10.31662/jmaj.2022-0079 PMC9358130

6. Assunção S.S. Sperling R.A. Ritchie C. Kerwin D.R. Aisen P.S. Lansdall C. Atri A. Cummings J. Meaningful benefits: A framework to assess disease-modifying therapies in preclinical and early Alzheimer’s disease Alzheimer’s Res. Ther. 2022 14 54 10.1186/s13195-022-00984-y 35440022 PMC9017027

7. Chen Z.-R. Huang J.-B. Yang S.-L. Hong F.-F. Role of Cholinergic Signaling in Alzheimer’s Disease Molecules 2022 27 1816 10.3390/molecules27061816 35335180 PMC8949236

8. Zhang J. Zhang Y. Wang J. Xia Y. Zhang J. Chen L. Recent advances in Alzheimer’s disease: Mechanisms, clinical trials and new drug development strategies Signal Transduct. Target. Ther. 2024 9 211 39174535 10.1038/s41392-024-01911-3 PMC11344989

9. Giacobini E. Cuello A.C. Fisher A. Reimagining cholinergic therapy for Alzheimer’s disease Brain 2022 145 2250 2275 10.1093/brain/awac096 35289363

10. Conway M.E. Alzheimer’s disease: Targeting the glutamatergic system Biogerontology 2020 21 257 274 10.1007/s10522-020-09860-4 32048098 PMC7196085

11. Ma C. Hong F. Yang S. Amyloidosis in Alzheimer’s Disease: Pathogeny, Etiology, and Related Therapeutic Directions Molecules 2022 27 1210 10.3390/molecules27041210 35209007 PMC8876037

12. Hampel H. Hardy J. Blennow K. Chen C. Perry G. Kim S.H. Villemagne V.L. Aisen P. Vendruscolo M. Iwatsubo T. The Amyloid-β Pathway in Alzheimer’s Disease Mol. Psychiatry 2021 26 5481 5503 10.1038/s41380-021-01249-0 34456336 PMC8758495

13. Muralidar S. Ambi S.V. Sekaran S. Thirumalai D. Palaniappan B. Role of tau protein in Alzheimer’s disease: The prime pathological player Int. J. Biol. Macromol. 2020 163 1599 1617 10.1016/j.ijbiomac.2020.07.327 32784025

14. Arnsten A.F.T. Datta D. Del Tredici K. Braak H. Hypothesis: Tau pathology is an initiating factor in sporadic Alzheimer’s disease Alzheimer’s Dement. 2020 17 115 124 10.1002/alz.12192 33075193 PMC7983919

15. Sinyor B. Mineo J. Ochner C. Alzheimer’s Disease, Inflammation, and the Role of Antioxidants J. Alzheimer’s Dis. Rep. 2020 4 175 183 10.3233/ADR-200171 32715278 PMC7369138

16. Qian X.-H. Song X.-X. Liu X.-L. Chen S.-D. Tang H.-D. Inflammatory pathways in Alzheimer’s disease mediated by gut microbiota Ageing Res. Rev. 2021 68 101317 10.1016/j.arr.2021.101317 33711509

17. Wiatrak B. Balon K. Jawień P. Bednarz D. Jęśkowiak I. Szeląg A. The Role of the Microbiota-Gut-Brain Axis in the Development of Alzheimer’s Disease Int. J. Mol. Sci. 2022 23 4862 10.3390/ijms23094862 35563253 PMC9104401

18. Doifode T. Giridharan V.V. Generoso J.S. Bhatti G. Collodel A. Schulz P.E. Forlenza O.V. Barichello T. The impact of the microbiota-gut-brain axis on Alzheimer’s disease pathophysiology Pharmacol. Res. 2020 164 105314 10.1016/j.phrs.2020.105314 33246175

19. Jurcau A. Simion A. Oxidative Stress in the Pathogenesis of Alzheimer’s Disease and Cerebrovascular Disease with Therapeutic Implications CNS Neurol. Disord.—Drug Targets 2020 19 94 108 32124703 10.2174/1871527319666200303121016

20. Bai R. Guo J. Ye X.-Y. Xie Y. Xie T. Oxidative stress: The core pathogenesis and mechanism of Alzheimer’s disease Ageing Res. Rev. 2022 77 101619 10.1016/j.arr.2022.101619 35395415

21. Chen L.-L. Fan Y.-G. Zhao L.-X. Zhang Q. Wang Z.-Y. The metal ion hypothesis of Alzheimer’s disease and the anti-neuroinflammatory effect of metal chelators Bioorganic Chem. 2022 131 106301 10.1016/j.bioorg.2022.106301 36455485

22. Di Meco A. Curtis M.E. Lauretti E. Praticò D. Autophagy Dysfunction in Alzheimer’s Disease: Mechanistic Insights and New Therapeutic Opportunities Biol. Psychiatry 2019 87 797 807 10.1016/j.biopsych.2019.05.008 31262433

23. Hamano T. Hayashi K. Shirafuji N. Nakamoto Y. The Implications of Autophagy in Alzheimer’s Disease Curr. Alzheimer Res. 2018 15 1283 1296 10.2174/1567205015666181004143432 30289076

24. Liew T.M. Neuropsychiatric symptoms in early stage of Alzheimer’s and non-Alzheimer’s dementia, and the risk of progression to severe dementia Age Ageing 2021 50 1709 1718 10.1093/ageing/afab044 33770167 PMC8437074

25. Cummings J. The Role of Neuropsychiatric Symptoms in Research Diagnostic Criteria for Neurodegenerative Diseases Am. J. Geriatr. Psychiatry 2021 29 375 383 10.1016/j.jagp.2020.07.011 32819825 PMC7855689

26. Wiels W.A. Wittens M.M.J. Zeeuws D. Baeken C. Engelborghs S. Neuropsychiatric Symptoms in Mild Cognitive Impairment and Dementia Due to AD: Relation with Disease Stage and Cognitive Deficits Front. Psychiatry 2021 12 707580 10.3389/fpsyt.2021.707580 34483998 PMC8415837

27. Devanand D.P. Lee S. Huey E.D. Goldberg T.E. Associations Between Neuropsychiatric Symptoms and Neuropathological Diagnoses of Alzheimer Disease and Related Dementias JAMA Psychiatry 2022 79 359 10.1001/jamapsychiatry.2021.4363 35171235 PMC8851371

28. Abbate C. Trimarchi P.D. Inglese S. Tomasini E. Bagarolo R. Giunco F. Cesari M. Signs and symptoms method in neuropsychology: A preliminary investigation of a standardized clinical interview for assessment of cognitive decline in dementia Appl. Neuropsychol. Adult 2019 28 282 296 10.1080/23279095.2019.1630626 31269816

29. Scheltens P. De Strooper B. Kivipelto M. Holstege H. Chételat G. Teunissen C.E. Cummings J. Van Der Flier W.M. Alzheimer’s disease Lancet 2021 397 1577 1590 10.1016/S0140-6736(20)32205-4 33667416 PMC8354300

30. Monfared A.A.T. Byrnes M.J. White L.A. Zhang Q. Alzheimer’s Disease: Epidemiology and Clinical Progression Neurol. Ther. 2022 11 553 569 10.1007/s40120-022-00338-8 35286590 PMC9095793

31. Savaş S. Detecting the Stages of Alzheimer’s Disease with Pre-trained Deep Learning Architectures Arab. J. Sci. Eng. 2021 47 2201 2218 10.1007/s13369-021-06131-3

32. Rafii M.S. Aisen P.S. Detection and treatment of Alzheimer’s disease in its preclinical stage Nat. Aging 2023 3 520 531 10.1038/s43587-023-00410-4 37202518 PMC11110912

33. Therriault J. Zimmer E.R. Benedet A.L. Pascoal T.A. Gauthier S. Rosa-Neto P. Staging of Alzheimer’s disease: Past, present, and future perspectives Trends Mol. Med. 2022 28 726 741 10.1016/j.molmed.2022.05.008 35717526

34. Dubois B. Villain N. Frisoni G.B. Rabinovici G.D. Sabbagh M. Cappa S. Bejanin A. Bombois S. Epelbaum S. Teichmann M. Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group Lancet Neurol. 2021 20 484 496 10.1016/S1474-4422(21)00066-1 33933186 PMC8339877

35. Vu M. Mangal R. Stead T. Lopez-Ortiz C. Ganti L. Impact of Alzheimer’s Disease on Caregivers in the United States Health Psychol. Res. 2022 10 37454 10.52965/001c.37454 35999976 PMC9392839

36. Kerwin D. Abdelnour C. Caramelli P. Ogunniyi A. Shi J. Zetterberg H. Traber M. Alzheimer’s disease diagnosis and management: Perspectives from around the world Alzheimer’s Dement. Diagn. Assess. Dis. Monit. 2022 14 12334 10.1002/dad2.12334 PMC9309007 35898519

37. Breijyeh Z. Karaman R. Comprehensive Review on Alzheimer’s Disease: Causes and Treatment Molecules 2020 25 5789 10.3390/molecules25245789 33302541 PMC7764106

38. Prajapati V. Shinde S. Shrivastav P. Prajapati B.G. New biologicals and biomaterials in the therapy of Alzheimer’s disease Alzheimer’s Disease and Advanced Drug Delivery Strategies Academic Press New York, NY, USA 2024 93 114 10.1016/b978-0-443-13205-6.00016-9

39. Bellenguez C. Grenier-Boley B. Lambert J.-C. Genetics of Alzheimer’s disease: Where we are, and where we are going Curr. Opin. Neurobiol. 2020 61 40 48 10.1016/j.conb.2019.11.024 31863938

40. Neuner S.M. Tcw J. Goate A.M. Genetic architecture of Alzheimer’s disease Neurobiol. Dis. 2020 143 104976 10.1016/j.nbd.2020.104976 32565066 PMC7409822

41. Miyashita A. Kikuchi M. Hara N. Ikeuchi T. Genetics of Alzheimer’s disease: An East Asian perspective J. Hum. Genet. 2022 68 115 124 10.1038/s10038-022-01050-z 35641666 PMC9968656

42. Narayan P. Sienski G. Bonner J.M. Lin Y.-T. Seo J. Baru V. Haque A. Milo B. Akay L.A. Graziosi A. PICALM Rescues Endocytic Defects Caused by the Alzheimer’s Disease Risk Factor APOE4 Cell Rep. 2020 33 108224 10.1016/j.celrep.2020.108224 33027662 PMC8190562

43. Fu W.-Y. Ip N.Y. The role of genetic risk factors of Alzheimer’s disease in synaptic dysfunction Semin. Cell Dev. Biol. 2023 139 3 12 10.1016/j.semcdb.2022.07.011 35918217

44. Flores-Cordero J.A. Pérez-Pérez A. Jiménez-Cortegana C. Alba G. Flores-Barragán A. Sánchez-Margalet V. Obesity as a Risk Factor for Dementia and Alzheimer’s Disease: The Role of Leptin Int. J. Mol. Sci. 2022 23 5202 10.3390/ijms23095202 35563589 PMC9099768

45. Antoniadou F. Papamitsou T. Kavvadas D. Kapoukranidou D. Sioga A. Papaliagkas V. Toxic Environmental Factors and their Association with the Development of Dementia: A Mini Review on Heavy Metals and Ambient Particulate Matter Mater. Socio Medica 2020 32 299 10.5455/msm.2020.32.299-306 PMC7879435 33628134

46. Amirrad F. Bousoik E. Shamloo K. Al-Shiyab H. Nguyen V.-H.V. Aliabadi H.M. Alzheimer’s Disease: Dawn of a New Era? J. Pharm. Pharm. Sci. 2017 20 184 10.18433/J3VS8P 28719360

47. Islam F. Shohag S. Akhter S. Islam M.R. Sultana S. Mitra S. Chandran D. Khandaker M.U. Ashraf G.M. Idris A.M. Exposure of metal toxicity in Alzheimer’s disease: An extensive review Front. Pharmacol. 2022 13 903099 10.3389/fphar.2022.903099 36105221 PMC9465172

48. Rehman Q. Rehman K. Akash M.S.H. Heavy Metals and Neurological Disorders: From Exposure to Preventive Interventions Emerging Contaminants and Associated Treatment Technologies Springer International Publishing Cham, Switzerland 2021 69 87

49. Attademo L. Bernardini F. Air Pollution as Risk Factor for Mental Disorders: In Search for a Possible Link with Alzheimer’s Disease and Schizophrenia J. Alzheimer’s Dis. 2020 76 825 830 10.3233/JAD-200289 32568207

50. He F. Tang J. Zhang T. Lin J. Li F. Gu X. Chen A. Nevill A. Chen R. Impact of air pollution exposure on the risk of Alzheimer’s disease in China: A community-based cohort study Environ. Res. 2022 205 112318 10.1016/j.envres.2021.112318 34742710

51. Yang J.J. Keohane L.M. Pan X.-F. Qu R. Shu X.-O. Lipworth L. Braun K. Steinwandel M.D. Dai Q. Shrubsole M. Association of Healthy Lifestyles with Risk of Alzheimer Disease and Related Dementias in Low-Income Black and White Americans Neurology 2022 99 e944 e953 10.1212/WNL.0000000000200774 35697505 PMC9502739

52. Heneghan A. Deng F. Wells K. Ritchie K. Muniz-Terrera G. Ritchie C.W. Lawlor B. Naci L. Modifiable Lifestyle Activities Affect Cognition in Cognitively Healthy Middle-Aged Individuals at Risk for Late-Life Alzheimer’s Disease J. Alzheimer’s Dis. 2023 91 833 846 10.3233/JAD-220267 36502318

53. Shafighi K. Villeneuve S. Neto P.R. Badhwar A. Poirier J. Sharma V. Medina Y.I. Silveira P.P. Dube L. Glahn D. Social isolation is linked to classical risk factors of Alzheimer’s disease-related dementias PLoS ONE 2023 18 e0280471 10.1371/journal.pone.0280471 36724157 PMC9891507

54. Gentreau M. Chuy V. Féart C. Samieri C. Ritchie K. Raymond M. Berticat C. Artero S. Refined carbohydrate-rich diet is associated with long-term risk of dementia and Alzheimer’s disease in apolipoprotein E ε4 allele carriers Alzheimer’s Dement. 2020 16 1043 1053 10.1002/alz.12114 32506713

55. Frausto D.M. Forsyth C.B. Keshavarzian A. Voigt R.M. Dietary Regulation of Gut-Brain Axis in Alzheimer’s Disease: Importance of Microbiota Metabolites Front. Neurosci. 2021 15 736814 10.3389/fnins.2021.736814 34867153 PMC8639879

56. Ellouze I. Sheffler J. Nagpal R. Arjmandi B. Dietary Patterns and Alzheimer’s Disease: An Updated Review Linking Nutrition to Neuroscience Nutrients 2023 15 3204 10.3390/nu15143204 37513622 PMC10384681

57. Khemka S. Reddy A. Garcia R.I. Jacobs M. Reddy R.P. Roghani A.K. Pattoor V. Basu T. Sehar U. Reddy P.H. Role of diet and exercise in aging, Alzheimer’s disease, and other chronic diseases Ageing Res. Rev. 2023 91 102091 10.1016/j.arr.2023.102091 37832608 PMC10842571

58. Zhu R.-Z. Chen M.-Q. Zhang Z.-W. Wu T.-Y. Zhao W.-H. Dietary fatty acids and risk for Alzheimer’s disease, dementia, and mild cognitive impairment: A prospective cohort meta-analysis Nutrition 2021 90 111355 10.1016/j.nut.2021.111355 34218119

59. Forester B.P. Patrick R.E. Harper D.G. Setbacks and Opportunities in Disease-Modifying Therapies in Alzheimer Disease JAMA Psychiatry 2020 77 7 10.1001/jamapsychiatry.2019.2332 31532462

60. Morató X. Pytel V. Jofresa S. Ruiz A. Boada M. Symptomatic and Disease-Modifying Therapy Pipeline for Alzheimer’s Disease: Towards a Personalized Polypharmacology Patient-Centered Approach Int. J. Mol. Sci. 2022 23 9305 10.3390/ijms23169305 36012569 PMC9409252

61. Golde T.E. Disease-Modifying Therapies for Alzheimer’s Disease: More Questions than Answers Neurotherapeutics 2022 19 209 227 10.1007/s13311-022-01201-2 35229269 PMC8885119

62. Musiek E.S. Morris J.C. Possible Consequences of the Approval of a Disease-Modifying Therapy for Alzheimer Disease JAMA Neurol. 2021 78 141 10.1001/jamaneurol.2020.4478 33252672

63. Belder C.R.S. Schott J.M. Fox N.C. Preparing for disease-modifying therapies in Alzheimer’s disease Lancet Neurol. 2023 22 782 783 10.1016/S1474-4422(23)00274-0 37463598

64. Zetterberg H. Bendlin B.B. Biomarkers for Alzheimer’s disease—Preparing for a new era of disease-modifying therapies Mol. Psychiatry 2020 26 296 308 10.1038/s41380-020-0721-9 32251378 PMC8172244

65. Imbimbo B.P. Lozupone M. Watling M. Panza F. Discontinued disease-modifying therapies for Alzheimer’s disease: Status and future perspectives Expert Opin. Investig. Drugs 2020 29 919 933 10.1080/13543784.2020.1795127 32657175

66. Parums D.V. Editorial: Targets for Disease-Modifying Therapies in Alzheimer’s Disease, Including Amyloid β and Tau Protein Med. Sci. Monit. 2021 27 e934077-1 34305135 10.12659/MSM.934077 PMC8323472

67. Villain N. Therapeutic news in Alzheimer’s disease: Soon a disease-modifying therapy? Rev. Neurol. 2022 178 437 440 10.1016/j.neurol.2022.02.456 35489824

68. Cummings J. Lee G. Nahed P. Kambar M.E.Z.N. Zhong K. Fonseca J. Taghva K. Alzheimer’s disease drug development pipeline: 2022 Alzheimer’s Dement. Transl. Res. Clin. Interv. 2022 8 e12295 10.1002/trc2.12295 35516416 PMC9066743

69. Wessels A.M. Dennehy E.B. Dowsett S.A. Dickson S.P. Hendrix S.B. Meaningful Clinical Changes in Alzheimer Disease Measured with the iADRS and Illustrated Using the Donanemab TRAILBLAZER-ALZ Study Findings Neurol. Clin. Pract. 2023 13 e200127 10.1212/CPJ.0000000000200127 36891463 PMC9987204

70. Cummings J. Lee G. Ritter A. Sabbagh M. Zhong K. Alzheimer’s disease drug development pipeline: 2020 Alzheimer’s Dement. Transl. Res. Clin. Interv. 2020 6 e12050 10.1002/trc2.12050 PMC7364858 32695874

71. Cummings J. Zhou Y. Lee G. Zhong K. Fonseca J. Cheng F. Alzheimer’s disease drug development pipeline: 2023 Alzheimer’s Dement. Transl. Res. Clin. Interv. 2023 9 e12385 Erratum in Alzheimers Dement. 2023 , 9 , e12407 10.1002/trc2.12385 PMC10210334 37251912

72. Bauzon J. Lee G. Cummings J. Repurposed agents in the Alzheimer’s disease drug development pipeline Alzheimer’s Res. Ther. 2020 12 98 10.1186/s13195-020-00662-x 32807237 PMC7433208

73. Haass C. Selkoe D. If amyloid drives Alzheimer disease, why have anti-amyloid therapies not yet slowed cognitive decline? PLoS Biol. 2022 20 e3001694 10.1371/journal.pbio.3001694 35862308 PMC9302755

74. Karran E. De Strooper B. The amyloid hypothesis in Alzheimer disease: New insights from new therapeutics Nat. Rev. Drug Discov. 2022 21 306 318 10.1038/s41573-022-00391-w 35177833

75. Behl T. Kaur I. Fratila O. Brata R. Bungau S. Exploring the Potential of Therapeutic Agents Targeted towards Mitigating the Events Associated with Amyloid-β Cascade in Alzheimer’s Disease Int. J. Mol. Sci. 2020 21 7443 10.3390/ijms21207443 33050199 PMC7589257

76. Mallah K. Couch C. Borucki D.M. Toutonji A. Alshareef M. Tomlinson S. Anti-inflammatory and Neuroprotective Agents in Clinical Trials for CNS Disease and Injury: Where Do We Go from Here? Front. Immunol. 2020 11 2021 10.3389/fimmu.2020.02021 33013859 PMC7513624

77. Lee K.H. Cha M. Lee B.H. Neuroprotective Effect of Antioxidants in the Brain Int. J. Mol. Sci. 2020 21 7152 10.3390/ijms21197152 32998277 PMC7582347

78. Xi Y. Chen Y. Jin Y. Han G. Song M. Song T. Shi Y. Tao L. Huang Z. Zhou J. Versatile nanomaterials for Alzheimer’s disease: Pathogenesis inspired disease-modifying therapy J. Control. Release 2022 345 38 61 10.1016/j.jconrel.2022.02.034 35257810

79. Liu H. Zhang H. Ma Y. Molecular mechanisms of altered adult hippocampal neurogenesis in Alzheimer’s disease Mech. Ageing Dev. 2021 195 111452 10.1016/j.mad.2021.111452 33556365

80. Doroszkiewicz J. Mroczko B. New Possibilities in the Therapeutic Approach to Alzheimer’s Disease Int. J. Mol. Sci. 2022 23 8902 10.3390/ijms23168902 36012193 PMC9409036

81. Colavitta M.F. Barrantes F.J. Therapeutic Strategies Aimed at Improving Neuroplasticity in Alzheimer Disease Pharmaceutics 2023 15 2052 10.3390/pharmaceutics15082052 37631266 PMC10459958

82. Ashrafian H. Zadeh E.H. Khan R.H. Review on Alzheimer’s disease: Inhibition of amyloid beta and tau tangle formation Int. J. Biol. Macromol. 2021 167 382 394 10.1016/j.ijbiomac.2020.11.192 33278431

83. Yin X. Qiu Y. Zhao C. Zhou Z. Bao J. Qian W. The Role of Amyloid-Beta and Tau in the Early Pathogenesis of Alzheimer’s Disease Med. Sci. Monit. 2021 27 e933084-1 10.12659/MSM.933084 34471085 PMC8422899

84. Zhang H. Wei W. Zhao M. Ma L. Jiang X. Pei H. Cao Y. Li H. Interaction between Aβ and Tau in the Pathogenesis of Alzheimer’s Disease Int. J. Biol. Sci. 2021 17 2181 2192 10.7150/ijbs.57078 34239348 PMC8241728

85. Filippi M. Cecchetti G. Spinelli E.G. Vezzulli P. Falini A. Agosta F. Amyloid-Related Imaging Abnormalities and β-Amyloid–Targeting Antibodies JAMA Neurol. 2022 79 291 35099507 10.1001/jamaneurol.2021.5205

86. Zhang Y. Chen H. Li R. Sterling K. Song W. Amyloid β-based therapy for Alzheimer’s disease: Challenges, successes and future Signal Transduct. Target. Ther. 2023 8 248 37386015 10.1038/s41392-023-01484-7 PMC10310781

87. Jeremic D. Jiménez-Díaz L. Navarro-López J.D. Past, present and future of therapeutic strategies against amyloid-β peptides in Alzheimer’s disease: A systematic review Ageing Res. Rev. 2021 72 101496 10.1016/j.arr.2021.101496 34687956

88. Panza F. Lozupone M. Logroscino G. Imbimbo B.P. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease Nat. Rev. Neurol. 2019 15 73 88 30610216 10.1038/s41582-018-0116-6

89. Shi M. Chu F. Zhu F. Zhu J. Impact of Anti-amyloid-β Monoclonal Antibodies on the Pathology and Clinical Profile of Alzheimer’s Disease: A Focus on Aducanumab and Lecanemab Front. Aging Neurosci. 2022 14 870517 35493943 10.3389/fnagi.2022.870517 PMC9039457

90. Rabinovici G.D. La Joie R. Amyloid-Targeting Monoclonal Antibodies for Alzheimer Disease JAMA 2023 330 507 10.1001/jama.2023.11703 37459124

91. Fedele E. Anti-Amyloid Therapies for Alzheimer’s Disease and the Amyloid Cascade Hypothesis Int. J. Mol. Sci. 2023 24 14499 10.3390/ijms241914499 37833948 PMC10578107

92. Qiao Y. Gu J. Yu M. Chi Y. Ma Y. Comparative Efficacy and Safety of Monoclonal Antibodies for Cognitive Decline in Patients with Alzheimer’s Disease: A Systematic Review and Network Meta-Analysis CNS Drugs 2024 38 169 192 10.1007/s40263-024-01067-2 38429615

93. Wu R. Sun F. Zhang W. Ren J. Liu G.-H. Targeting aging and age-related diseases with vaccines Nat. Aging 2024 4 464 482 10.1038/s43587-024-00597-0 38622408

94. Congdon E.E. Ji C. Tetlow A.M. Jiang Y. Sigurdsson E.M. Tau-targeting therapies for Alzheimer disease: Current status and future directions Nat. Rev. Neurol. 2023 19 715 736 10.1038/s41582-023-00883-2 37875627 PMC10965012

95. Congdon E.E. Sigurdsson E.M. Tau-targeting therapies for Alzheimer disease Nat. Rev. Neurol. 2018 14 399 415 10.1038/s41582-018-0013-z 29895964 PMC6463489

96. Guo Y. Li S. Zeng L.-H. Tan J. Tau-targeting therapy in Alzheimer’s disease: Critical advances and future opportunities Ageing Neurodegener. Dis. 2022 2 11 10.20517/and.2022.16

97. Sandusky-Beltran L.A. Sigurdsson E.M. Tau immunotherapies: Lessons learned, current status and future considerations Neuropharmacology 2020 175 108104 10.1016/j.neuropharm.2020.108104 32360477 PMC7492435

98. Chen Y. Yu Y. Tau and neuroinflammation in Alzheimer’s disease: Interplay mechanisms and clinical translation J. Neuroinflamm. 2023 20 165 10.1186/s12974-023-02853-3 PMC10349496 37452321

99. Zhu Z. Reiser G. The small heat shock proteins, especially HspB4 and HspB5 are promising protectants in neurodegenerative diseases Neurochem. Int. 2018 115 69 79 10.1016/j.neuint.2018.02.006 29425965

100. Campanella C. Pace A. Bavisotto C.C. Marzullo P. Gammazza A.M. Buscemi S. Piccionello A.P. Heat Shock Proteins in Alzheimer’s Disease: Role and Targeting Int. J. Mol. Sci. 2018 19 2603 10.3390/ijms19092603 30200516 PMC6163571

101. Yang H. Li X. Zhu L. Wu X. Zhang S. Huang F. Feng X. Shi L. Heat Shock Protein Inspired Nanochaperones Restore Amyloid-β Homeostasis for Preventative Therapy of Alzheimer’s Disease Adv. Sci. 2019 6 1901844 10.1002/advs.201901844 PMC6864524 31763156

102. Yiannopoulou K.G. Papageorgiou S.G. Current and Future Treatments in Alzheimer Disease: An Update J. Cent. Nerv. Syst. Dis. 2020 12 117957352090739 10.1177/1179573520907397 PMC7050025 32165850

103. Pardo-Moreno T. González-Acedo A. Rivas-Domínguez A. García-Morales V. García-Cozar F.J. Ramos-Rodríguez J.J. Melguizo-Rodríguez L. Therapeutic Approach to Alzheimer’s Disease: Current Treatments and New Perspectives Pharmaceutics 2022 14 1117 10.3390/pharmaceutics14061117 35745693 PMC9228613

104. Selkoe D.J. Treatments for Alzheimer’s disease emerge Science 2021 373 624 626 34353940 10.1126/science.abi6401

105. Vaz M. Silvestre S. Alzheimer’s disease: Recent treatment strategies Eur. J. Pharmacol. 2020 887 173554 10.1016/j.ejphar.2020.173554 32941929

106. Cummings J. New approaches to symptomatic treatments for Alzheimer’s disease Mol. Neurodegener. 2021 16 1 13 33441154 10.1186/s13024-021-00424-9 PMC7805095

107. Eissa K.I. Kamel M.M. Mohamed L.W. Kassab A.E. Development of new Alzheimer’s disease drug candidates using donepezil as a key model Arch. Der Pharm. 2022 356 2200398 10.1002/ardp.202200398 36149034

108. Buck A. Rezaei K. Quazi A. Goldmeier G. Silverglate B. Grossberg G.T. The donepezil transdermal system for the treatment of patients with mild, moderate, or severe Alzheimer’s disease: A critical review Expert Rev. Neurother. 2024 24 607 614 38785454 10.1080/14737175.2024.2355981

109. Ekundayo B.E. Obafemi T.O. Adewale O.B. Oyinloye B.E. Donepezil-based combination therapy for Alzheimer’s disease and related neuropathies Comp. Clin. Pathol. 2023 32 699 708

110. Manickam R. Murugesan S. Kottaisamy S. Ramasundaram T. Kannan S. Galantamine tethered hydrogel as a novel therapeutic target for streptozotocin-induced Alzheimer’s disease in Wistar rats Curr. Res. Pharmacol. Drug Discov. 2022 3 100100 35510084 10.1016/j.crphar.2022.100100 PMC9058960

111. Babashpour-Asl M. Kaboudi P. Barez S. Therapeutic and medicinal effects of snowdrop ( Galanthus spp.) in Alzheimer’s disease: A review J. Educ. Health Promot. 2023 12 128 37397105 10.4103/jehp.jehp_451_22 PMC10312406

112. Kaur J. Melkani I. Singh A.P. Singh A.P. Bala K. Galantamine: A Review Update J. Drug Deliv. Ther. 2022 12 167 173

113. Santos G.S. Sinoti S.B.P. De Almeida F.T.C. Silveira D. Simeoni L.A. Gomes-Copeland K.K.P. Use of galantamine in the treatment of Alzheimer’s disease and strategies to optimize its biosynthesis using the in vitro culture technique Plant Cell Tissue Organ Cult. (PCTOC) 2020 143 13 29 10.1007/s11240-020-01911-5

114. Nguyen K. Hoffman H. Chakkamparambil B. Grossberg G.T. Evaluation of rivastigmine in Alzheimer’s disease Neurodegener. Dis. Manag. 2021 11 35 48 10.2217/nmt-2020-0052 33198569

115. Saeedi M. Mehranfar F. Challenges and Approaches of Drugs Such as Memantine, Donepezil, Rivastigmine, and Aducanumab in the Treatment, Control and Management of Alzheimer’s Disease Recent Pat. Biotechnol. 2022 16 102 121 10.2174/1872208316666220302115901 35236274

116. Ray B. Maloney B. Sambamurti K. Karnati H.K. Nelson P.T. Greig N.H. Lahiri D.K. Rivastigmine modifies the α-secretase pathway and potentially early Alzheimer’s disease Transl. Psychiatry 2020 10 47 10.1038/s41398-020-0709-x 32066688 PMC7026402

117. Vicente-Zurdo D. Rosales-Conrado N. León-González M.E. Brunetti L. Piemontese L. Pereira-Santos A.R. Cardoso S.M. Madrid Y. Chaves S. Santos M.A. Novel Rivastigmine Derivatives as Promising Multi-Target Compounds for Potential Treatment of Alzheimer’s Disease Biomedicines 2022 10 1510 10.3390/biomedicines10071510 35884815 PMC9313321

118. Shamsi A. Mohammad T. Anwar S. Alajmi M.F. Hussain A. Hassan M.I. Ahmad F. Islam A. Probing the interaction of Rivastigmine Tartrate, an important Alzheimer’s drug, with serum albumin: Attempting treatment of Alzheimer’s disease Int. J. Biol. Macromol. 2020 148 533 542 10.1016/j.ijbiomac.2020.01.134 31954794

119. Rompicherla S.K.L. Arumugam K. Bojja S.L. Kumar N. Rao C.M. Pharmacokinetic and pharmacodynamic evaluation of nasal liposome and nanoparticle based rivastigmine formulations in acute and chronic models of Alzheimer’s disease Naunyn-Schmiedeberg S Arch. Pharmacol. 2021 394 1737 1755 10.1007/s00210-021-02096-0 PMC8298375 34086100

120. Guo H. Wang G. Zhai Z. Huang J. Huang Z. Zhou Y. Xia X. Yao Z. Huang Y. Zhao Z. Rivastigmine nasal spray for the treatment of Alzheimer’s Disease: Olfactory deposition and brain delivery Int. J. Pharm. 2024 652 123809 10.1016/j.ijpharm.2024.123809 38224760

121. Ezzat S.M. Salem M.A. Mahdy N.M.E. Ragab M.F. Rivastigmine Naturally Occurring Chemicals Against Alzheimer’s Disease Elsevier Amsterdam, The Netherlands 2021 93 108

122. Tang B. Wang Y. Ren J. Basic information about memantine and its treatment of Alzheimer’s disease and other clinical applications Ibrain 2023 9 340 348 10.1002/ibra.12098 37786758 PMC10527776

123. Koola M.M. Galantamine-Memantine combination in the treatment of Alzheimer’s disease and beyond Psychiatry Res. 2020 293 113409 10.1016/j.psychres.2020.113409 32829072

124. Marotta G. Basagni F. Rosini M. Minarini A. Memantine Derivatives as Multitarget Agents in Alzheimer’s Disease Molecules 2020 25 4005 10.3390/molecules25174005 32887400 PMC7504780

125. Turcu A.L. Companys-Alemany J. Phillips M.B. Patel D.S. Griñán-Ferré C. Loza M.I. Brea J.M. Pérez B. Soto D. Sureda F.X. Design, synthesis, and in vitro and in vivo characterization of new memantine analogs for Alzheimer’s disease Eur. J. Med. Chem. 2022 236 114354 10.1016/j.ejmech.2022.114354 35453065 PMC9106868

126. Wu L. Zhou X. Cao Y. Mak S.H. Zha L. Li N. Su Z. Han Y. Wang Y. Hoi M.P.M. Therapeutic efficacy of novel memantine nitrate MN-08 in animal models of Alzheimer’s disease Aging Cell 2021 20 e13371 10.1111/acel.13371 33955647 PMC8208785

127. Yaghmaei E. Lu H. Ehwerhemuepha L. Zheng J. Danioko S. Rezaie A. Sajjadi S.A. Rakovski C. Combined use of Donepezil and Memantine increases the probability of five-year survival of Alzheimer’s disease patients Commun. Med. 2024 4 99 10.1038/s43856-024-00527-6 38783011 PMC11116549

128. Padovani A. Falato S. Pegoraro V. Extemporaneous combination of donepezil and memantine to treat dementia in Alzheimer disease: Evidence from Italian real-world data Curr. Med. Res. Opin. 2023 39 567 577 10.1080/03007995.2023.2182530 36803101

129. Dezfouli R.A. Akbariforoud S. Esmaeilidezfouli E. Are there links between Alzheimer’s disease and ADHD? The efficacy of acetylcholinesterase inhibitors and NMDA receptor antagonists in controlling ADHD symptoms: A systematic review Middle East Curr. Psychiatry 2024 31 13 10.1186/s43045-024-00405-w

130. Rahman A. Hossen M.A. Chowdhury M.F.I. Bari S. Tamanna N. Sultana S.S. Haque S.N. Masud A.A. Saif-Ur-Rahman K.M. Aducanumab for the treatment of Alzheimer’s disease: A systematic review Psychogeriatrics 2023 23 512 522 10.1111/psyg.12944 36775284 PMC11578022

131. Wojtunik-Kulesza K. Rudkowska M. Orzeł-Sajdłowska A. Aducanumab—Hope or Disappointment for Alzheimer’s Disease Int. J. Mol. Sci. 2023 24 4367 10.3390/ijms24054367 36901797 PMC10002282

132. Vaz M. Silva V. Monteiro C. Silvestre S. Role of Aducanumab in the Treatment of Alzheimer’s Disease: Challenges and Opportunities Clin. Interv. Aging 2022 17 797 810 10.2147/CIA.S325026 35611326 PMC9124475

133. Schneider L. A resurrection of aducanumab for Alzheimer’s disease Lancet Neurol. 2020 19 111 112 10.1016/S1474-4422(19)30480-6 31978357

134. Dunn B. Stein P. Cavazzoni P. Approval of Aducanumab for Alzheimer Disease—The FDA’s Perspective JAMA Intern. Med. 2021 181 1276 10.1001/jamainternmed.2021.4607 34254984

135. Mullard A. FDA approves second anti-amyloid antibody for Alzheimer disease Nat. Rev. Drug Discov. 2023 22 89 10.1038/d41573-023-00004-0 36624128

136. Reardon S. FDA approves Alzheimer’s drug lecanemab amid safety concerns Nature 2023 613 227 228 10.1038/d41586-023-00030-3 36627422

137. Chowdhury S. Chowdhury N.S. Novel anti-amyloid-beta (Aβ) monoclonal antibody lecanemab for Alzheimer’s disease: A systematic review Int. J. Immunopathol. Pharmacol. 2023 37 03946320231209839 10.1177/03946320231209839 37902139 PMC10617290

138. Niidome T. Ishikawa Y. Ogawa T. Nakagawa M. Nakamura Y. Mechanism of action and clinical trial results of Lecanemab (Leqembi® 200 mg, 500 mg for Intravenous Infusion), a novel treatment for Alzheimer’s disease Folia Pharmacol. Jpn. 2024 159 173 10.1254/fpj.24005 38692883

139. Van Dyck C.H. Swanson C.J. Aisen P. Bateman R.J. Chen C. Gee M. Kanekiyo M. Li D. Reyderman L. Cohen S. Lecanemab in Early Alzheimer’s Disease N. Engl. J. Med. 2023 388 9 21 10.1056/NEJMoa2212948 36449413

140. Bhadane P. Roul K. Belemkar S. Kumar D. Immunotherapeutic approaches for Alzheimer’s disease: Exploring active and passive vaccine progress Brain Res. 2024 1840 149018 10.1016/j.brainres.2024.149018 38782231

141. Parrocha C.M.T. Nowick J.S. Current peptide vaccine and immunotherapy approaches against Alzheimer’s disease Pept. Sci. 2022 115 e24289 10.1002/pep2.24289 PMC9916509 36778914

142. Honig L.S. Alzheimer Disease: A New Beginning in Therapeutics Alzheimer Dis. Assoc. Disord. 2023 37 267 269 10.1097/WAD.0000000000000592 38015422

143. Xiao D. Zhang C. Current therapeutics for Alzheimer’s disease and clinical trials Explor. Neurosci. 2024 3 255 271 10.37349/en.2024.00048

144. Holdridge K.C. Yaari R. Hoban D.B. Andersen S. Sims J.R. Targeting amyloid β in Alzheimer’s disease: Meta-analysis of low-dose solanezumab in Alzheimer’s disease with mild dementia studies Alzheimer’s Dement. 2023 19 4619 4628 36946603 10.1002/alz.13031

145. Sperling R.A. Donohue M.C. Raman R. Rafii M.S. Johnson K. Masters C.L. Van Dyck C.H. Iwatsubo T. Marshall G.A. Yaari R. Trial of Solanezumab in Preclinical Alzheimer’s Disease N. Engl. J. Med. 2023 389 1096 1107 37458272 10.1056/NEJMoa2305032 PMC10559996

146. Gao Y. Guo J. Zhang F. Li Y. Safety Analysis of Bapineuzumab in the Treatment of Mild to Moderate Alzheimer’s Disease: A Systematic Review and Meta-Analysis Comb. Chem. High Throughput Screen. 2024 27 40 47 37076966 10.2174/1386207326666230419095813

147. Jeremic D. Navarro-López J.D. Jiménez-Díaz L. Efficacy and safety of anti-amyloid-β monoclonal antibodies in current Alzheimer’s disease phase III clinical trials: A systematic review and interactive web app-based meta-analysis Ageing Res. Rev. 2023 90 102012 37423541 10.1016/j.arr.2023.102012

148. Hao Y. Dong M. Sun Y. Duan X. Niu W. Effectiveness and safety of monoclonal antibodies against amyloid-beta vis-à-vis placebo in mild or moderate Alzheimer’s disease Front. Neurol. 2023 14 1147757 37006475 10.3389/fneur.2023.1147757 PMC10050585

149. Neațu M. Covaliu A. Ioniță I. Jugurt A. Davidescu E.I. Popescu B.O. Monoclonal Antibody Therapy in Alzheimer’s Disease Pharmaceutics 2023 16 60 10.3390/pharmaceutics16010060 38258071 PMC11154277

150. Bateman R.J. Smith J. Donohue M.C. Delmar P. Abbas R. Salloway S. Wojtowicz J. Blennow K. Bittner T. Black S.E. Two Phase 3 Trials of Gantenerumab in Early Alzheimer’s Disease N. Engl. J. Med. 2023 389 1862 1876 37966285 10.1056/NEJMoa2304430 PMC10794000

151. Söderberg L. Johannesson M. Nygren P. Laudon H. Eriksson F. Osswald G. Möller C. Lannfelt L. Lecanemab, Aducanumab, and Gantenerumab—Binding Profiles to Different Forms of Amyloid-Beta Might Explain Efficacy and Side Effects in Clinical Trials for Alzheimer’s Disease Neurotherapeutics 2023 20 195 206 36253511 10.1007/s13311-022-01308-6 PMC10119362

152. De Almeida A.M. Leite M. Lopes L.M. Lima P.G. Barros M.L.S. Pinheiro S.R. Andrade Í. Viana P. Morbach V. Marinheiro G. Gantenerumab for early Alzheimer’s disease: A systematic review and meta-analysis Expert Rev. Neurother. 2024 24 929 936 38879828 10.1080/14737175.2024.2367016

153. Riviere M. Langbaum J.B. Turner R.S. Rinne J.O. Sui Y. Cazorla P. Ricart J. Meneses K. Caputo A. Tariot P.N. Effects of the active amyloid beta immunotherapy CAD106 on PET measurements of amyloid plaque deposition in cognitively unimpaired APOE ε4 homozygotes Alzheimer’s Dement. 2023 20 1839 1850 38145469 10.1002/alz.13532 PMC10984441

154. Thakur A. Bogati S. Pandey S. Attempts to Develop Vaccines Against Alzheimer’s Disease: A Systematic Review of Ongoing and Completed Vaccination Trials in Humans Cureus 2023 15 e40138 10.7759/cureus.40138 37425610 PMC10329479

155. Egunlusi A.O. Joubert J. Ever-expanding landscape: Alzheimer’s—New targets and new patents Pharm. Pat. Anal. 2022 11 135 138 10.4155/ppa-2022-0031 36052611

156. Miranda A. Montiel E. Ulrich H. Paz C. Selective Secretase Targeting for Alzheimer’s Disease Therapy J. Alzheimer’s Dis. 2021 81 1 17 10.3233/JAD-201027 33749645

157. Piton M. Hirtz C. Desmetz C. Milhau J. Lajoix A.D. Bennys K. Lehmann S. Gabelle A. Alzheimer’s Disease: Advances in Drug Development J. Alzheimer’s Dis. 2018 65 3 13 10.3233/JAD-180145 30040716

158. Trasviña-Arenas C.H. Medina L.A.A. Vique-Sanchez J.L. γ-Secretase Inhibitors Selected by Molecular Docking, to Develop a New Drug Against Alzheimer’s Disease Rep. Biochem. Mol. Biol. 2023 12 340 349 10.61186/rbmb.12.2.340 38317814 PMC10838598

159. Alan E. Kerry Z. Sevin G. Molecular mechanisms of Alzheimer’s disease: From therapeutic targets to promising drugs Fundam. Clin. Pharmacol. 2023 37 397 427 10.1111/fcp.12861 36576325

160. Ettcheto M. Busquets O. Espinosa-Jiménez T. Verdaguer E. Auladell C. Camins A. A Chronological Review of Potential Disease-Modifying Therapeutic Strategies for Alzheimer’s Disease Curr. Pharm. Des. 2020 26 1286 1299 10.2174/1381612826666200211121416 32066356

161. Zimmer J.A. Shcherbinin S. Devous M.D. Bragg S.M. Selzler K.J. Wessels A.M. Shering C. Mullen J. Landry J. Andersen S.W. Lanabecestat: Neuroimaging results in early symptomatic Alzheimer’s disease Alzheimer’s Dement. Transl. Res. Clin. Interv. 2021 7 e12123 10.1002/trc2.12123 PMC7882543 33614894

162. Burki T. Alzheimer’s disease research: The future of BACE inhibitors Lancet 2018 391 2486 10.1016/S0140-6736(18)31425-9 29976459

163. Egan M.F. Kost J. Tariot P.N. Aisen P.S. Cummings J.L. Vellas B. Sur C. Mukai Y. Voss T. Furtek C. Randomized Trial of Verubecestat for Mild-to-Moderate Alzheimer’s Disease N. Engl. J. Med. 2018 378 1691 1703 10.1056/NEJMoa1706441 29719179 PMC6776074

164. Egan M. Kost J. Voss T. Mukai Y. Aisen P. Cummings J. Tariot P. Vellas B. Van Dyck C. Boada M. Randomized Trial of Verubecestat for Prodromal Alzheimer’s Disease N. Engl. J. Med. 2019 380 1408 1420 10.1056/NEJMoa1812840 30970186 PMC6776078

165. Timmers M. Streffer J.R. Russu A. Tominaga Y. Shimizu H. Shiraishi A. Tatikola K. Smekens P. Börjesson-Hanson A. Andreasen N. Pharmacodynamics of atabecestat (JNJ-54861911), an oral BACE1 inhibitor in patients with early Alzheimer’s disease: Randomized, double-blind, placebo-controlled study Alzheimer’s Res. Ther. 2018 10 85 10.1186/s13195-018-0415-6 30134967 PMC6106931

166. Machauer R. Lueoend R. Hurth K. Veenstra S.J. Rueeger H. Voegtle M. Tintelnot-Blomley M. Rondeau J.-M. Jacobson L.H. Laue G. Discovery of Umibecestat (CNP520): A Potent, Selective, and Efficacious β-Secretase (BACE1) Inhibitor for the Prevention of Alzheimer’s Disease J. Med. Chem. 2021 64 15262 15279 10.1021/acs.jmedchem.1c01300 34648711

167. Neumann U. Ufer M. Jacobson L.H. Rouzade-Dominguez M. Huledal G. Kolly C. Lüönd R.M. Machauer R. Veenstra S.J. Hurth K. The BACE -1 inhibitor CNP 520 for prevention trials in Alzheimer’s disease EMBO Mol. Med. 2018 10 e9316 10.15252/emmm.201809316 30224383 PMC6220303

168. Soeda Y. Saito M. Maeda S. Ishida K. Nakamura A. Kojima S. Takashima A. Methylene Blue Inhibits Formation of Tau Fibrils but not of Granular Tau Oligomers: A Plausible Key to Understanding Failure of a Clinical Trial for Alzheimer’s Disease J. Alzheimer’s Dis. 2019 68 1677 1686 10.3233/JAD-181001 30909223

169. Berrocal M. Caballero-Bermejo M. Gutierrez-Merino C. Mata A.M. Methylene Blue Blocks and Reverses the Inhibitory Effect of Tau on PMCA Function Int. J. Mol. Sci. 2019 20 3521 10.3390/ijms20143521 31323781 PMC6678728

170. How S.-C. Cheng Y.-H. Lo C.-H. Lai J.-T. Lin T.-H. Bednarikova Z. Antosova A. Gazova Z. Wu J.W. Wang S.S.-s. Exploring the effects of methylene blue on amyloid fibrillogenesis of lysozyme Int. J. Biol. Macromol. 2018 119 1059 1067 10.1016/j.ijbiomac.2018.08.038 30099040

171. Lao K. Ji N. Zhang X. Qiao W. Tang Z. Gou X. Drug development for Alzheimer’s disease: Review J. Drug Target. 2018 27 164 173 10.1080/1061186X.2018.1474361 29732929

172. Shri S.R. Manandhar S. Nayak Y. Pai K.S.R. Role of GSK-3β Inhibitors: New Promises and Opportunities for Alzheimer’s Disease Adv. Pharm. Bull. 2023 13 688 700 10.34172/apb.2023.071 38022801 PMC10676556

173. Dong Y. Lu J. Zhang S. Chen L. Wen J. Wang F. Mao Y. Li L. Zhang J. Liao S. Design, synthesis and bioevaluation of 1,2,4-thiadiazolidine-3,5-dione derivatives as potential GSK-3β inhibitors for the treatment of Alzheimer’s disease Bioorganic Chem. 2023 134 106446 10.1016/j.bioorg.2023.106446 36868127

174. Fagiani F. Lanni C. Racchi M. Govoni S. Targeting dementias through cancer kinases inhibition Alzheimer’s Dement. Transl. Res. Clin. Interv. 2020 6 e12044 10.1002/trc2.12044 PMC7341824 32671184

175. Ramos R. Vale N. Dual Drug Repurposing: The Example of Saracatinib Int. J. Mol. Sci. 2024 25 4565 10.3390/ijms25084565 38674150 PMC11050334

176. Tridente G. Jana A. Nath A. Ashraf G.M. Protein kinase inhibitors as therapeutics in neurodegenerative and psychiatric disorders Receptor Tyrosine Kinases in Neurodegenerative and Psychiatric Disorders Academic Press New York, NY, USA 2023 403 573

177. Wang H. Zhang F.-F. Xu Y. Fu H.-R. Wang X.-D. Wang L. Chen W. Xu X.-Y. Gao Y.-F. Zhang J.-G. The Phosphodiesterase-4 Inhibitor Roflumilast, a Potential Treatment for the Comorbidity of Memory Loss and Depression in Alzheimer’s Disease: A Preclinical Study in APP/PS1 Transgenic Mice Int. J. Neuropsychopharmacol. 2020 23 700 711 10.1093/ijnp/pyaa048 32645141 PMC7727475

178. Sugin L.J.S. Murugesan A. Bindu M. Sunil K.N. Roflumilast: A potential drug for the treatment of cognitive impairment? Neurosci. Lett. 2020 736 135281 32735939 10.1016/j.neulet.2020.135281

179. Hu J. Pan T. An B. Li Z. Li X. Huang L. Synthesis and evaluation of clioquinol-rolipram/roflumilast hybrids as multitarget-directed ligands for the treatment of Alzheimer’s disease Eur. J. Med. Chem. 2019 163 512 526 30553143 10.1016/j.ejmech.2018.12.013

180. Hasan N. Zameer S. Najmi A.K. Parvez S. Akhtar M. Roflumilast Reduces Pathological Symptoms of Sporadic Alzheimer’s Disease in Rats Produced by Intracerebroventricular Streptozotocin by Inhibiting NF-κB/BACE-1 Mediated Aβ Production in the Hippocampus and Activating the cAMP/BDNF Signalling Pathway Neurotox. Res. 2022 40 432 448 35192144 10.1007/s12640-022-00482-x

181. Adesuyan M. Jani Y.H. Alsugeir D. Howard R. Ju C. Wei L. Brauer R. Phosphodiesterase Type 5 Inhibitors in Men With Erectile Dysfunction and the Risk of Alzheimer Disease Neurology 2024 102 e209131 38324745 10.1212/WNL.0000000000209131 PMC10890837

182. Cummings J. Lee G. Zhong K. Fonseca J. Taghva K. Alzheimer’s disease drug development pipeline: 2021 Alzheimer’s Dement. Transl. Res. Clin. Interv. 2021 7 e12179 10.1002/trc2.12179 PMC8145448 34095440

183. Cummings J. Zhou Y. Lee G. Zhong K. Fonseca J. Cheng F. Alzheimer’s disease drug development pipeline: 2024 Alzheimer’s Dement. Transl. Res. Clin. Interv. 2024 10 e12465 10.1002/trc2.12465 PMC11040692 38659717

184. Huang L.-K. Kuan Y.-C. Lin H.-W. Hu C.-J. Clinical trials of new drugs for Alzheimer disease: A 2020–2023 update J. Biomed. Sci. 2023 30 83 37784171 10.1186/s12929-023-00976-6 PMC10544555

185. Knopman D.S. Jones D.T. Greicius M.D. Failure to demonstrate efficacy of aducanumab: An analysis of the EMERGE and ENGAGE trials as reported by Biogen, December 2019 Alzheimer’s Dement. 2020 17 696 701 33135381 10.1002/alz.12213

186. Dhillon S. Aducanumab: First Approval Drugs 2021 81 1437 1443 34324167 10.1007/s40265-021-01569-z

187. Mukhopadhyay S. Banerjee D. A Primer on the Evolution of Aducanumab: The First Antibody Approved for Treatment of Alzheimer’s Disease J. Alzheimer’s Dis. 2021 83 1537 1552 34366359 10.3233/JAD-215065

188. Swanson C.J. Zhang Y. Dhadda S. Wang J. Kaplow J. Lai R.Y.K. Lannfelt L. Bradley H. Rabe M. Koyama A. A randomized, double-blind, phase 2b proof-of-concept clinical trial in early Alzheimer’s disease with lecanemab, an anti-Aβ protofibril antibody Alzheimer’s Res. Ther. 2021 13 80 33865446 10.1186/s13195-021-00813-8 PMC8053280

189. ClinicalTrials.gov Available online: https://clinicaltrials.gov/search?cond=Alzheimer%27s%20Disease (accessed on 17 August 2024)

190. Duara R. Barker W. Heterogeneity in Alzheimer’s Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials Neurotherapeutics 2022 19 8 25 35084721 10.1007/s13311-022-01185-z PMC9130395

191. Liu L. Sun S. Kang W. Wu S. Lin L. A review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis Rev. Neurosci. 2024 35 121 129 37419866 10.1515/revneuro-2023-0033

192. Wei H. Wu C. Yuan Y. Lai L. Uncovering the Achilles heel of genetic heterogeneity: Machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease Front. Aging Neurosci. 2023 15 1249682 37799623 10.3389/fnagi.2023.1249682 PMC10548137

193. Conrado D.J. Duvvuri S. Geerts H. Burton J. Biesdorf C. Ahamadi M. Macha S. Hather G. Morales J.F. Podichetty J. Challenges in Alzheimer’s Disease Drug Discovery and Development: The Role of Modeling, Simulation, and Open Data Clin. Pharmacol. Ther. 2020 107 796 805 31955409 10.1002/cpt.1782

194. Abduljawad A.A. Elawad M.A. Elkhalifa M.E.M. Ahmed A. Hamdoon A.A.E. Salim L.H.M. Ashraf M. Ayaz M. Hassan S.S.U. Bungau S. Alzheimer’s Disease as a Major Public Health Concern: Role of Dietary Saponins in Mitigating Neurodegenerative Disorders and Their Underlying Mechanisms Molecules 2022 27 6804 10.3390/molecules27206804 36296397 PMC9608803

195. Ribba B. Reinforcement learning as an innovative model-based approach: Examples from precision dosing, digital health and computational psychiatry Front. Pharmacol. 2023 13 094281 10.3389/fphar.2022.1094281 PMC9981647 36873047

196. Ndebele P. Blanchard-Horan C. Shahkolahi A. Sanne I. Regulatory Challenges Associated with Conducting Multicountry Clinical Trials in Resource-Limited Settings JAIDS J. Acquir. Immune Defic. Syndr. 2014 65 (Suppl. 1) S29 S31 24321981 10.1097/QAI.0000000000000037 PMC3900239

197. Alemayehu C. Mitchell G. Nikles J. Barriers for conducting clinical trials in developing countries—A systematic review Int. J. Equity Health 2018 17 37 29566721 10.1186/s12939-018-0748-6 PMC5863824

198. Sinsky J. Pichlerova K. Hanes J. Tau Protein Interaction Partners and Their Roles in Alzheimer’s Disease and Other Tauopathies Int. J. Mol. Sci. 2021 22 9207 10.3390/ijms22179207 34502116 PMC8431036

199. Alquezar C. Arya S. Kao A.W. Tau Post-translational Modifications: Dynamic Transformers of Tau Function, Degradation, and Aggregation Front. Neurol. 2021 11 595532 33488497 10.3389/fneur.2020.595532 PMC7817643

200. Yang J. Zhi W. Wang L. Role of Tau Protein in Neurodegenerative Diseases and Development of Its Targeted Drugs: A Literature Review Molecules 2024 29 2812 10.3390/molecules29122812 38930877 PMC11206543

201. Sigurdsson E.M. Tau Immunotherapies for Alzheimer’s Disease and Related Tauopathies: Progress and Potential Pitfalls1 J. Alzheimer’s Dis. 2018 64 (Suppl. S1) S555 S565 29865056 10.3233/JAD-179937 PMC6171771

202. Yang J. Fu Z. Zhang X. Xiong M. Meng L. Zhang Z. TREM2 ectodomain and its soluble form in Alzheimer’s disease J. Neuroinflamm. 2020 17 204 10.1186/s12974-020-01878-2 PMC7341574 32635934

203. Huang W. Huang J. Huang N. Luo Y. The role of TREM2 in Alzheimer’s disease: From the perspective of Tau Front. Cell Dev. Biol. 2023 11 1280257 38020891 10.3389/fcell.2023.1280257 PMC10663217

204. Shi Q. Gutierrez R.A. Bhat M.A. Microglia, Trem2, and Neurodegeneration Neuroscientist 2024 10738584241254118 10.1177/10738584241254118 38769824 PMC11576490

205. Pocock J. Vasilopoulou F. Svensson E. Cosker K. Microglia and TREM2 Neuropharmacology 2024 257 110020 38821351 10.1016/j.neuropharm.2024.110020

206. Rani V. Verma R. Kumar K. Chawla R. Role of pro-inflammatory cytokines in Alzheimer’s disease and neuroprotective effects of pegylated self-assembled nanoscaffolds Curr. Res. Pharmacol. Drug Discov. 2023 4 100149 10.1016/j.crphar.2022.100149 36593925 PMC9804106

207. Simpson D.S.A. Oliver P.L. ROS Generation in Microglia: Understanding Oxidative Stress and Inflammation in Neurodegenerative Disease Antioxidants 2020 9 743 10.3390/antiox9080743 32823544 PMC7463655

208. Su F. Bai F. Zhang Z. Inflammatory Cytokines and Alzheimer’s Disease: A Review from the Perspective of Genetic Polymorphisms Neurosci. Bull. 2016 32 469 480 10.1007/s12264-016-0055-4 27568024 PMC5563762

209. Pham A.Q. Dore K. Novel approaches to increase synaptic resilience as potential treatments for Alzheimer’s disease Semin. Cell Dev. Biol. 2023 139 84 92 10.1016/j.semcdb.2022.03.032 35370089 PMC10191447

210. Skaper S.D. Facci L. Zusso M. Giusti P. Synaptic Plasticity, Dementia and Alzheimer Disease CNS Neurol. Disord.—Drug Targets 2017 16 220 233 10.2174/1871527316666170113120853 28088900

211. Guo Q. Li Y. Xu S. Wang P. Qian K. Yang P. Sheng D. Wang L. Cheng Y. Meng R. Brain-neuron targeted nanoparticles for peptide synergy therapy at dual-target of Alzheimer’s disease J. Control. Release 2023 355 604 621 10.1016/j.jconrel.2023.01.074 36738970

212. Ferreira A.C.F. Szeto A.C.H. Clark P.A. Crisp A. Kozik P. Jolin H.E. McKenzie A.N.J. Neuroprotective protein ADNP-dependent histone remodeling complex promotes T helper 2 immune cell differentiation Immunity 2023 56 1468 1484.e7 10.1016/j.immuni.2023.05.010 37285842 PMC10501989

213. AlMansoori M.E. Jemimah S. Abuhantash F. AlShehhi A. Predicting early Alzheimer’s with blood biomarkers and clinical features Sci. Rep. 2024 14 6039 10.1038/s41598-024-56489-1 38472245 PMC10933308

214. Kesu S.M.R. Sinha N. Ramasangu H. Cellular Automata Framework for Dementia Classification Using Explainable AI Eng. Proc. 2024 68 36 10.3390/engproc2024068036

215. Arafah A. Khatoon S. Rasool I. Khan A. Rather M.A. Abujabal K.A. Faqih Y.A.H. Rashid H. Rashid S.M. Ahmad S.B. The Future of Precision Medicine in the Cure of Alzheimer’s Disease Biomedicines 2023 11 335 10.3390/biomedicines11020335 36830872 PMC9953731

216. Forloni G. Alzheimer’s disease: From basic science to precision medicine approach BMJ Neurol. Open 2020 2 e000079 10.1136/bmjno-2020-000079 33681801 PMC7903168

217. Cummings J.L. Tong G. Ballard C. Treatment Combinations for Alzheimer’s Disease: Current and Future Pharmacotherapy Options J. Alzheimer’s Dis. 2019 67 779 794 10.3233/JAD-180766 30689575 PMC6398562

218. Horani W. Thawabteh A. Scrano L. Bufo S.A. Anticancer Prodrugs—Three Decades of Design World J. Pharm. Pharm. Sci. 2015 4 1751 1753

219. Dudchenko N.G. Mkhitaryan E.A. Combination Drug Therapy for the Management of Alzheimer’s Disease Russ. J. Geriatr. Med. 2024 21 140 144 10.37586/2686-8636-2-2024-140-144

220. Strac D.S. Konjevod M. Sagud M. Perkovic M.N. Erjavec G.N. Vuic B. Simic G. Vukic V. Mimica N. Pivac N. Personalizing the Care and Treatment of Alzheimer’s Disease: An Overview Pharmacogenom. Pers. Med. 2021 14 631 653 10.2147/PGPM.S284615 PMC8169052 34093032

221. Passeri E. Elkhoury K. Morsink M. Broersen K. Linder M. Tamayol A. Malaplate-Armand C. Yen F.T. Arab-Tehrany E. Alzheimer’s Disease: Treatment Strategies and Their Limitations Int. J. Mol. Sci. 2022 23 13954 10.3390/ijms232213954 36430432 PMC9697769

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты