Alzheimer's Disease Drug Research Articles

Experiences from Clinical Research and Routine Use of Florbetaben Amyloid PET—A Decade of Post-Authorization Insights

Florbetaben (FBB) is a radiopharmaceutical approved by the FDA and EMA in 2014 for the positron emission tomography (PET) imaging of brain amyloid deposition in patients with cognitive impairment who are being evaluated for Alzheimer’s disease (AD) or other causes of cognitive decline. Initially, the clinical adoption of FBB PET faced significant barriers, including reimbursement challenges and uncertainties regarding its integration into diagnostic clinical practice. This review examines the progress made in overcoming these obstacles and describes the concurrent evolution of the diagnostic landscape. Advances in quantification methods have further strengthened the traditional visual assessment approach. Over the past decade, compelling evidence has emerged, demonstrating that amyloid PET has a strong impact on AD diagnosis, management, and outcomes across diverse clinical scenarios, even in the absence of amyloid-targeted therapies. Amyloid PET imaging has become essential in clinical trials and the application of new AD therapeutics, particularly for confirming eligibility criteria (i.e., the presence of amyloid plaques) and monitoring biological responses to amyloid-lowering therapies. Since its approval, FBB PET has transitioned from a purely diagnostic tool aimed primarily at excluding amyloid pathology to a critical component in AD drug development, and today, it is essential in the diagnostic workup and therapy management of approved AD treatments.

Single-microglia transcriptomic transition network-based prediction and real-world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease.

High microglial heterogeneities hinder the development of microglia-targeted treatment for Alzheimer's disease (AD). We integrated 0.7 million single-nuclei RNA-sequencing transcriptomes from human brains using a variational autoencoder. We predicted AD-relevant microglial subtype-specific transition networks for disease-associated microglia (DAM), tau microglia, and neuroinflammation-like microglia (NIM). We prioritized drugs by specifically targeting microglia-specific transition networks and validated drugs using two independent real-world patient databases. We identified putative AD molecular drivers (e.g., SYK, CTSB, and INPP5D) in transition networks of DAM and NIM. Via specifically targeting NIM, we identified that usage of ketorolac was associated with reduced AD incidence in both MarketScan (hazard ratio [HR]=0.89) and INSIGHT (HR=0.83) Clinical Research Network databases, mechanistically supported by ketorolac-treated transcriptomic data from AD patient induced pluripotent stem cell-derived microglia. This study offers insights into the pathobiology of AD-relevant microglial subtypes and identifies ketorolac as a potential anti-inflammatory treatment for AD. An integrative analysis of≈ 0.7 million single-nuclei RNA-sequencing transcriptomes from human brains identified Alzheimer's disease (AD)-relevant microglia subtypes. Network-based analysis identified putative molecular drivers (e.g., SYK, CTSB, INPP5D) of transition networks between disease-associated microglia (DAM) and neuroinflammation-like microglia (NIM). Via network-based prediction and population-based validation, we identified that usage of ketorolac (a US Food and Drug Administration-approved anti-inflammatory medicine) was associated with reduced AD incidence in two independent patient databases. Mechanistic observation showed that ketorolac treatment downregulated the Type-I interferon signaling in patient induced pluripotent stem cell-derived microglia, mechanistically supporting its protective effects in real-world patient databases.

Constructing a Metal-Organic Frameworks-Based Long-Acting Sequential Release System for the Treatment of Alzheimer's Disease.

Due to the unclear pathogenesis of Alzheimer's disease (AD) and the lack of a completely cured medication, AD patients need to take medication in order and on time every day all one's life, which is difficult for severe memory impairment patients to strictly follow on time. Traditional AD drug carriers, such as sugar coating and capsules, rely on dissolution or fragmentation to achieve drug release, which lacks the interaction between drug molecules and carriers, thus they cannot achieve sufficient long-acting and sequential drug release. Herein, Mn-MOF-74, which ligand structure is similar to two antioxidants dihydroquercetin (DHQ) and resveratrol (Res) is chosen as the carrier. Due to the differences in adsorption energy between DHQ/MOF and Res/MOF, the release speed of DHQ is much faster than Res. Therefore, Mn-MOF-74 loaded with DHQ and Res (DR@MOF) showed sequential drug release and a long-term antioxidant effect for ≈72h, with an efficacy time six times longer than that of vitamin E. In 5×FAD transgenic mice, DR@MOF exhibited excellent capacity in maintaining oxidative balance in the brain, ameliorating spatial learning and memory deficits, and showed the potential of an AD agent for long-acting and sequential treatment.

Screening for Anti-Aβ Aggregation Activity of Marine Fungal Natural Products Based on a Gold Nanoparticle Method.

Screening Aβ aggregation inhibitors (AAIs) is important for Alzheimer's disease drug discovery. However, common cellular or biochemical methods are not suitable for high-throughput natural product screening. A gold nanoparticle (GNP) screening method was employed in this study to screen marine fungal crude extracts and pure compounds for quick AAIs discovering. The anti-Aβ aggregation activity was further inspected using transmission electron microscopic (TEM) observation and the interaction between active molecules and different Aβ species was revealed by molecular docking. The results indicated that the fungal extracts DLS2008001 (M), BM3T2 (M), DLEN2008005 (M), TBG1-16 (P), and TBG1-13 (P) showed activity comparable to the positive control human serum albumin at the concentration of 500 μg/mL; 10 pure compounds also displayed moderate anti-aggregation activity, particularly nidulin, aspergillusidone G, and butyrolactone I. The inspection of anti-Aβ aggregation effect through TEM further demonstrated that extracts TBG1-16 (P), DLS2008001 (M), and BM3T2 (M) dramatically inhibited the formation of Aβ aggregates. Molecular docking displayed low binding energies and key interactions of nidulin, aspergillusidone G, and butyrolactone I, with nine types of Aβ peptides. These findings indicate that the GNP method is efficient in screening AAIs and reveal marine fungal natural products as valuable sources of small molecular AAIs.

Age- and sex-associated alterations in hypothalamic mitochondrial bioenergetics and inflammatory-associated signaling in the 3xTg mouse model of Alzheimer’s disease

Mitochondrial dysfunction and associated inflammatory signaling are pivotal in both aging and in Alzheimer’s disease (AD). Studies have also shown that hypothalamic function is affected in AD. The hypothalamus may be a target for AD drugs given that mitochondrial alterations are observed in the hypothalamus. This study investigated how age and sex affect mitochondrial bioenergetics and inflammatory signaling in the hypothalamic mitochondria of 3xTg and control mice at 2, 6, and 13 months, aiming to enhance our understanding of these processes in aging and AD. Parameters included oxygen consumption rates, expression levels of subunits comprising mitochondrial complexes I-V, the enzymatic activity of cytochrome c oxidase (COX), transcription factors associated with inflammation such as NF-κB, pIκB-α, Nrf2, and other inflammatory biomarkers. Hypothalamic mitochondrial dysfunction was observed in 3xTg females as early as 2 months, but no changes were detected in 3xTg males until 6 months of age. In 3xTg mice, subunit expression levels for mitochondrial complexes I-II were significantly reduced in both sexes. Significant sex-based differences in COX activity were also observed at 13 months of age, with levels being lower in females compared to males. In addition, significant sex differences were indicated in NF-κB, pIκB-α, Nrf2, and other inflammatory biomarkers at different age groups during normal aging and AD progression. These findings highlight important sex differences in hypothalamic bioenergetics and inflammation, offering insights into potential new targets for preventing and/or treating AD.

A novel phosphodiesterase 5 inhibitor, RF26, improves memory impairment and ameliorates tau aggregation and neuroinflammation in the P301S tauopathy mouse model of Alzheimer's disease

Phosphodiesterase-5 (PDE5) inhibitors are primarily used in the treatment of erectile dysfunction and pulmonary hypertension, but have also been reported to have a potential therapeutic effect for the treatment of Alzheimer's disease (AD). This is likely to be through stimulation of nitric oxide (NO)/cyclic guanosine monophosphate (cGMP) signaling by elevating cGMP, a secondary messenger involved in processes of neuroplasticity. In the present study, we evaluated the efficacy of a novel PDE5 inhibitor, RF26, using P301S tauopathy mice model. A body of experimental evidence suggests that the development of tau inclusions leads to the neurodegeneration observed in tauopathies, including AD, Frontotemporal dementia (FTD), Supranuclear palsy and others. RF26 successfully targeted NO/cGMP signaling pathway and showed a significant improvement of spatial memory task performance of P301S mice using Morris Water Maze and T-maze. Furthermore, RF26 -treated mice showed a significant reduction of phosphorylated tau load, gliosis and downregulated pro-inflammatory cytokines. The presented data support the efficacy of RF26 as a potent PDE5 inhibitor and calls for further investigation as a potential therapeutic drug for Alzheimer's and other tauopathy related neurological disorders.

Demographics, comorbidities, and comedications in newly diagnosed patients with Alzheimer's disease and related dementias: Findings from United States Medicare claims data.

Medicare claims data enables broad characterization of United States (US) patients with Alzheimer's disease and related dementias (ADRD). Resulting insights can be used as a reference to describe this population and as a benchmark for generalizability of patients with ADRD enrolled in clinical trials. To characterize demographics, comorbidities, comedications, and healthcare resource utilization in US patients with newly diagnosed ADRD, focusing on differences across Medicare fee-for-service (FFS) and Medicare Advantage enrollees. This observational cohort study used complete (100%) Medicare claims data inclusive of both FFS and Medicare Advantage insurance types. Study patients were ≥65-years-old with ≥12 months of continuous pre-index enrollment and Medicare Part D coverage. Two cohorts of patients were selected in calendar year 2019; those newly diagnosed with ADRD and those with a new acetylcholinesterase inhibitor (AChEI) claim. The newly diagnosed ADRD and new AChEI users cohorts included 861,727 and 395,319 patients, respectively. Demographics and comedications were generally similar across the two cohorts, supporting internal validity of the study results. Circulatory system-related comorbidities and mood disorders were common in both cohorts. Differences in race, inpatient claims and long-term care claims were observed between insurance types. The study results provide a reference for describing the ADRD population in the US and emphasize the importance of evaluating new Alzheimer's disease drugs in broad patient populations with comorbidities and concomitant medication use.

New Insights into the Development of Donepezil-Based Hybrid and Natural Molecules as Multi-Target Drug Agents for Alzheimer's Disease Treatment.

Alzheimer's disease (AD) involves a complex pathophysiology with multiple interconnected subpathologies, including protein aggregation, impaired neurotransmission, oxidative stress, and microglia-mediated neuroinflammation. Current treatments, which generally target a single subpathology, have failed to modify the disease's progression, providing only temporary symptom relief. Multi-target drugs (MTDs) address several subpathologies, including impaired aggregation of pathological proteins. In this review, we cover hybrid molecules published between 2014 and 2024. We offer an overview of the strategies employed in drug design and approaches that have led to notable improvements and reduced hepatotoxicity. Our aim is to offer insights into the potential development of new Alzheimer's disease drugs. This overview highlights the potential of multi-target drugs featuring heterocycles with N-benzylpiperidine fragments and natural compounds in improving Alzheimer's disease treatment.

Inhibitory Potency of Chlorogenic Acid from Apple Cider Vinegar Against Alzheimer’s Disease: Molecular Docking and Dynamics Validation

Objective The primary cause of memory loss is Alzheimer’s disease (AD). Recent studies have shown that natural compounds like apple cider vinegar (ACV) have anti-Alzheimer’s capabilities. Essential components of ACV, such as gallic acid and chlorogenic acid, may be in charge of the drug’s pharmacological effects. Methods Using molecular docking and dynamics (MD), the current work looks at the aspect of ACV that protects against AD. To study the conformational relationships and interaction mechanisms between two biological molecules (such as interactions between proteins and drugs or between proteins), MD simulation is frequently used. MD can help understand molecular structural differences between proteins and small compounds. We used acetylcholinesterase (AChE, PDB ID: 1UT6) to MD chlorogenic and gallic acids, as well as the currently prescribed medication rivastigmine (Standard medication). Furthermore, we determine the binding affinity, which may be responsible for AChE inhibition. MD simulations were performed on docked complexes of chlorogenic acid, gallic acid, and rivastigmine with receptor 1UT6 for a 300 ns trajectory to ensure the stability of docked ligand-protein complexes. Results The results showed that chlorogenic acid has the highest binding affinity and stability for AChE inhibition. In the docking and dynamics analysis, both techniques have predicted chlorogenic acid to be a potential constituent of ACV which shows a similar activity when compared to rivastigmine by virtue of binding affinity. Conclusion These findings identify chlorogenic acid as the key component of ACV that protects against AD-related cognitive and behavioral impairments. This finding will be critical in the development of ACV-based drugs for Alzheimer’s disease treatment.

Tau, synapse loss and gliosis progress in an Alzheimer's mouse model after amyloid-β immunotherapy.

While preclinical studies assessing drugs for Alzheimer's disease (AD) are conducted in animal models that usually display only one neuropathological feature of AD, patients present with a complex combination of comorbidities and neuropathologies. Importantly, it is well-established that amyloid (Aβ) plaque and tau tangle accumulation interact in a phase-dependent manner, making it difficult to predict how targeting one might influence the other, as well as downstream degeneration. We developed a transgenic mouse model, APP/PS1xTau22, with progressive cortical Aβ deposition and hippocampal tau neurofibrillary inclusions to investigate how both neuropathologies act jointly to bring about neural degeneration, synapse loss, and glial phenotypes. We then assessed whether applying murine chimeric Aducanumab, an anti-amyloid immunotherapy, could impact the synergistic relationship between amyloid and tau. Drug treatment resulted in a ∼70% reduction in Aβ deposition in hippocampal and cortical areas and produced a robust peri-plaque microglial and astrocytic response. Removing amyloid from the brain did not reverse or slow tau pathology or alter synapse loss. Our findings suggest that, once the interaction between amyloid and tau is set in motion, reducing plaque burden by Aβ immunotherapy may stimulate glial responses, but is insufficient to curb degenerative phenotypes in this model.

Exploring bacterial metabolites in microbe-human host dialogue and their therapeutic potential in Alzheimer's diseases.

Neurological dysfunction in association with aging, dementia, and cognitive impairment is the major cause of Alzheimer's disease (AD). Current AD therapies often yield unsatisfactory results due to their poor mechanism in treating the underlying mechanism of the disease. Recent studies suggested that metabolites from the gut microbiota facilitate brain-gut communication. A systematic network pharmacology study and the structure- and analog-based approaches are employed to investigate the metabolites produced by gut microbiota to treat AD. The microbiota metabolites available in the gutMGene database were considered in this study. Two servers, namely Swiss Target Prediction (STP) and Similarity Ensemble Approach (SEA), were used to identify the possible AD targets for the selected metabolites. Detailed KEGG pathway and Gene Ontology (GO) analysis on identified hub genes highlighted the importance of IL6, AKT1, and GSK3B in AD pathophysiology. MMTSp (Microbiota Metabolites Target Signaling pathways) network analysis elucidated that there is a strong relationship with microbiota (Paraprevotella xylaniphila YIT 11841, Bifidobacterium dentium, Paraprevotella clara YIT 11840, Enterococcus sp. 45, Bacteroides sp. 45, Bacillus sp. 46, Escherichia sp. 33, Enterococcus casseliflavus, Bacteroides uniformis, Alistipes indistinctus YIT 12060, Bacteroides ovatus, Escherichia sp. 12, and Odoribacter laneus YIT 12061) and AD pathogenesis. In addition to this, we performed molecular docking to study the metabolite interactions in the AD drug targets. The ADME/T properties of these metabolites were also calculated and the results are discussed in detail.

Strategies to advance digital health equity: a qualitative study with underserved groups

BackgroundThe World Health Organization encourages the use of digital health technologies (DHTs) to promote efficiency and sustainability of global public health and wellbeing. However, there is a lack of demonstrable health benefits across underserved groups due to digital exclusion. We conducted a qualitative study exploring the perspectives of underserved groups on strategies to advance digital health equity. MethodsParticipants were recruited through community organisations in North-East England. Individuals represented at least two CLEARS (Culture, Limiting conditions, low Educational attainment, older Age, Residence, low Socioeconomic status) categories associated with digital exclusion. We conducted focus groups (n=4) and semi-structured interview (n=11) to explore individual's experiences of accessing and using DHTs and strategies to enhance inclusivity. A reflective thematic analysis approach was used, assisted by N-Vivo (QSR, v14.23.2). Findings29 individuals (20 female, 9 male) participated from a range of different ethnic minority and religious groups. Participants (n=19) lived in deprived areas, and many (n=22) had low income (<£20 000 annual income). 10 participants had visual and/or hearing impairments. Three key themes centred around access to DHTs, use of DHTs, and desired improvements to support inclusion. Participants experienced barriers accessing and using DHTs, particularly the NHS app, as they did not have photographic ID to be able to register. Individuals overcame such barriers by using non-digital routes (eg, visiting GP receptionist) and asking family or friends to assist. Others described fragmented communication with healthcare providers eg, receiving an inaccessible link to confirm appointments. Many participants viewed implementing educational support services and maintaining non-digital access routes to healthcare as key to enhancing inclusivity, but the financial impact of this on healthcare system. InterpretationThese findings can shape strategies to advance digital inclusivity. Further work is required to design tailored strategies to support different underserved groups and assess the feasibility of implementing these strategies. FundingThis work has been supported by the Early Detection of Neurodegenerative diseases (EDoN) research initiative, funded by Alzheimer's Research UK with support from Gates Ventures and the Alzheimer's Drug Discovery Foundation through its Diagnostic Accelerator Project. This project is also funded by the NIHR, (NIHR205190).

Effects of JAL-TA9 on cognitive deficits in Alzheimer's disease model mouse

Many studies have been conducted to find an effective drug for Alzheimer's disease (AD) treatment. However, no effective drug applicable for clinical use has been developed. Recently, the FDA approved Lecanemab, an antibody drug that acts as an aggregation inhibitor against Amyloid-beta (Aβ), for AD treatment. However, there are still no fundamental drugs for AD. In this study, we present a strategy for AD treatment that removes Aβ by cleavage reaction using one of the Catalytides, JAL-TA9 (YKGSGFRMI). A single dose of JAL-TA9 administered into the CA1 region of the hippocampus and the intraventricular space improved the deficits in short-term memory of APP-knock-in mice. It also improved the memory of Aβ25-35-induced model mice, as evaluated by the Y-maze and objective recognition tests. These data strongly suggest that JAL-TA9 could be effective in treating AD. However, these administration methods are difficult to apply clinically due to their high invasiveness. Thus, we tested the improvement effects of dementia by administering JAL-TA9 nasally. It is very interesting and exciting that the dementia of Aβ25-35 induced AD model mice was improved by four applications once every three days. These results strongly suggest that JAL-TA9 is the best candidate for AD treatment because it is effective even in the late stage of AD.

Endothelial Dysfunctions in Blood-Brain Barrier Breakdown in Alzheimer's Disease: From Mechanisms to Potential Therapies.

Recent research has shown the presence of blood-brain barrier (BBB) breakdown in Alzheimer's disease (AD). BBB is a dynamic interface consisting of a continuous monolayer of brain endothelial cells (BECs) enveloped by pericytes and astrocytes. The restricted permeability of BBB strictly controls the exchange of substances between blood and brain parenchyma, which is crucial for brain homeostasis by excluding blood-derived detrimental factors and pumping out brain-derived toxic molecules. BBB breakdown in AD is featured as a series of BEC pathologies such as increased paracellular permeability, abnormal levels and functions of transporters, and inflammatory or oxidative profile, which may disturb the substance transportation across BBB, thereafter induce CNS disorders such as hypometabolism, Aβ accumulation, and neuroinflammation, eventually aggravate cognitive decline. Therefore, it seems important to protect BEC properties for BBB maintenance and neuroprotection. In this review, we thoroughly summarized the pathological alterations of BEC properties reported in AD patients and numerous AD models, including paracellular permeability, influx and efflux transporters, and inflammatory and oxidative profiles, and probably associated underlying mechanisms. Then we reviewed current therapeutic agents that are effective in ameliorating a series of BEC pathologies, and ultimately protecting BBB integrity and cognitive functions. Regarding the current drug development for AD proceeds extremely hard, this review aims to discuss the therapeutic potentials of targeting BEC pathologies and BBB maintenance for AD treatment, therefore expecting to shed a light on the future AD drug development by targeting BEC pathologies and BBB protection.

Multimodal spatiotemporal drug assessment platform based on a microelectrode neural network chip in Alzheimer’s disease

The pathogenesis of Alzheimer’s disease (AD) remains elusive. The development of new drugs is protracted, costly, and fraught with failure, largely due to the lack of convenient methods for dynamically studying the pathogenesis of AD and evaluating drug efficacy in vitro. There is a dearth of in vitro multi-site assay platforms capable of observing the therapeutic effects of AD drugs at the level of cellular and network. Consequently, an in vitro multimodal spatiotemporal drug assessment platform has been developed based on a neuronal network chip. It has a symmetric distribution of electrode points with two different sizes (10 μm and 30 μm), which are more suitable for the detection of neuronal connections. The multifaceted neurophysiological properties, including single neuron firing pattern, intercellular connection, transmission speed, and neural network communication, were detected in real time. The results demonstrated that the differences between experimental groups in electrophysiological properties, could significantly distinguish the effects of AD representative drug treatment after different levels of neurological injury. The administration of the drug at the initial stage of β-amyloid oligomers (AβOs) toxicity was found to effectively retard the deterioration of neurons and network (early stage: firing rate increased by 8 %; middle stage: cross-correlation coefficient decreased by 27 %; late stage: similarity index remained positive and relative transmission speed decreased by 11 %). The neurophysiological mechanism of drug interaction was further elucidated, which may provide the guidance for the optimal timing of drug administration. Following the further extension of biosensor longevity and the expansion of synchronous multidimensional parameter detection, including impedance and electrochemistry, it is anticipated that this will become a novel platform for the preclinical evaluation and screening of AD drugs.

Possibility of short synthetic peptides with activities of suppressing amyloid β aggregation and resolving its aggregated form as therapeutic drugs for Alzheimer's disease

Lecanemab is a new anti-amyloid antibody being developed as a treatment for Alzheimer's disease. It is expected to delay the progression of the disease by reducing the accumulation of amyloid beta (Aβ) in the brain. However, no drug has been developed that can completely eliminate Aβ and improve symptoms. A representative Catalytide, JAL-TA9 (YKGSGFRMI), cleaves Aβ42 and improves symptoms in an Alzheimer's disease mouse model, suggesting that JAL-TA9 is a promising candidate for treating Alzheimer's disease by effectively eliminating Aβ. The catalytic center of JAL-TA9 is GSGFR. To identify better Catalytides for Alzheimer's treatment, we analyzed the structure-activity relationship of 21 point-mutated GSGFR derivatives. In this process, we discovered two peptides, GSGFK and GSGNR, that not only inhibit Aβ25-35 aggregation but also dissolve aggregated Aβ25-35. Intracerebroventricular administration of GSGFK protected mice against Aβ25-35-induced short-term memory deficits and promoted microglial phagocytic activity. Like Lecanemab, GSGFK targets Aβ, but it has advantages such as safety, administration method, and cost. In this talk, we will discuss the potential of GSGFK as a therapeutic candidate for Alzheimer's disease.

BrainSim: AI-Driven Brain MRI Simulation for Alzheimer’s Disease Diagnosis

Alzheimer's Disease, a progressive neurodegenerative disorder with no cure, presents a formidable challenge to global healthcare. The simulation of brain states, encompassing both rejuvenation and aging, aids clinicians in understanding disease progression and early detection. Recent advances in deep adversarial neural networks, effective in generating age-varied facial images, are now applied to brain MRI simulations across different time states. However, existing methods for brain MRI synthesis predominantly focus on aging simulation, lacking rejuvenation capabilities, and relying heavily on longitudinal data. Access to rejuvenated brain scans is essential as it can help researchers track the structural changes and biomarkers in the early stage of AD, facilitating AD research and personalized treatments. Additionally, previous methods are often 2D-based, failing to capture complex 3D spatial information obtained by 3D scans. To overcome these limitations, I propose BrainSim, a novel longitudinal brain MRI synthesis framework. Specifically, BrainSim leverages a bidirectional cycle-consistent generative neural network to generate rejuvenated and aged MRI scans simultaneously using cross-sectional scans only. BrainSim incorporates a 3D conditional U-Net as its fundamental model, facilitating the direct generation of 3D MRI scans conditioned on the subject's health state and sex. BrainSim was evaluated against benchmark models using longitudinal data and a pre-trained age predictor to assess the quality of generated images. Experiments using the ADNI dataset show BrainSim's state-of-the-art performance in brain aging and rejuvenation tasks, marking significant advancements in MRI synthesis for Alzheimer's research and drug development.

Review on Alzheimers Disease

Abstract: Loss of Abstract Thinking Someone with Alzheimer’s disease may lose the ability to draw conclusions and solve problems. It may become difficult to balance a checkbook, for example, because the patient has forgotten what to do with the numbers. About 29.8 million people worldwide had been diagnosed with Alzheimer’s disease (AD) in 2015, And the number is projected to triple by 2050. In 2018, AD was the fifth leading cause of death in Americans with 65 years of age or older, but the progress of AD drug research is very limited. It is Helpful to identify the key factors and research trends of AD for guiding further more effective Studies. Alzheimer’s disease is a degenerative disease of the brain, the most common cause of dementia in the geriatric population, and a major cause of death. Alzheimer’s disease is one of the fastest growing risk factors in middle age, which Increases the risk of Alzheimer’s disease in coronary weddings and higher levels of Homocysteine, which can lead to withdrawal due to lifestyle changes. Cigarettes prevent Alzheimer’s disease by recalling memories. Also, despite the fact that there is no Definitive cure for Alzheimer’s, the ability to increase acetylcholine levels and reduce Ameloid beta deposition and your medications such as Donepezil has proven to be very Effective when treating Alzheimer’s disease (AD) is a progressive neurodegenerative disease. It Is characterized by progressive cognitive deterioration together with Declining activities of daily living and behavioral changes. It is the Most common type of pre-senile and senile dementia. Alzheimer disease (AD) is a heterogeneous disease with a complex pathobiology. The presence Extracellular b-amyloid deposition as neuritic plaques and intracellular accumulation of hyperphos . Phorylated tau as neurofibrillary tangles remains the primary neuropathologic criteria for AD diagnosis. However, a number of recent fundamental discoveries highlight important pathological roles For other critical cellular and molecular processes. Despite this, no disease-modifying treatment Currently exists, and numerous phase 3 clinical trials have failed to demonstrate benefits. Here ,We review recent advances in our understanding of AD pathobiology and discuss current treatment Strategies, highlighting recent clinical trials and opportunities for developing future disease modifying therapies.

Future Therapeutic Strategies for Alzheimer's Disease: Focus on Behavioral and Psychological Symptoms.

Alzheimer's disease (AD) is a progressive, degenerative brain disorder that impairs memory and thinking skills, leading to significant economic and humanistic burdens. It is associated with various neuropsychiatric symptoms (NPS) such as anxiety, agitation, depression, aggression, apathy, and psychosis. NPSs are common in patients with AD, affecting up to 97% of individuals diagnosed with AD. The severity of NPS is linked to disease progression and cognitive decline. NPS in Alzheimer's disease leads to increased morbidity, mortality, caregiver burden, earlier nursing home placement, and higher healthcare costs. Despite their significant impact, clinical research on NPS in AD is limited. In clinical settings, accurately distinguishing and diagnosing NPS related to AD remains a challenge. Additionally, conventional treatments for NPS in AD are often ineffective, highlighting the need for new therapies that target these specific symptoms. Understanding these comorbidities can aid in early diagnosis and better management of AD. In this review, we provide a summary of the various neurological and psychiatric symptoms (NPS) associated with AD and new candidates under development for the treatment of NPS based on their therapeutic targets and mechanisms. On top of the conventional NPS studied so far, this review adds recent advancements in the understanding of social functional impairment in AD. This review also provides information that can contribute to the advancement of studies and translational research in this field by emphasizing therapeutic targets and mechanisms of action focused on AD-related NPS rather than conventional mechanisms targeted in AD drug development. Above all, considering the relative lack of research in this new field despite the importance of clinical, medical, and translational research, it may increase interest in NPS in AD, its pathophysiological mechanisms, and potential therapeutic candidates such as molecules with antioxidant potential.

Functional Magnetic Resonance Imaging in Alzheimer's Disease Drug Trials: A Mini-Review.

Alzheimer's disease (AD) is a progressive neurodegenerative pathology that leads to cognitive decline and dementia, particularly in older adults. It disrupts brain structure and function, with neurotoxic amyloid-β (Aβ) plaques being a primary pathological hallmark. Pharmacotherapeutic trials targeting Aβ and other AD pathological features aim to slow disease progression. Functional magnetic resonance imaging (fMRI) is a non-invasive tool that visualizes brain functional activity, aiding in evaluating the efficacy of AD drugs in clinical trials. This mini-review explores the role of fMRI in evaluating the impact of AD pharmacotherapeutic clinical trials conducted in the past seven years. Literature was systematically searched using two databases. The risk of bias was assessed with the Revised Cochrane risk-of-bias tool (RoB-2) for randomized clinical trials (RCTs). Four studies using fMRI to investigate AD drug efficacy were included. Cholinesterase, glutamatergic, and serotonergic drugs showed significant positive effects on brain functional activity, especially within the default mode network. Functional connectivity (FC) changes due to drug intake were linked to cerebellar and cholinergic decline in AD, correlating with improved global cognition and fMRI task performance. Recent RCTs demonstrate fMRI's ability to reveal longitudinal FC pattern changes in response to AD drug treatments across disease stages. Positive FC changes in distinct brain regions suggest potential compensatory mechanisms from drug intake. However, these drugs have limited efficacy, necessitating further research to enhance specific pharmacological interventions for clinical application.