Current Alzheimer research最新文献

{"title":"Therapeutic Advances in Alzheimer's Disease: Integrating Natural, Semi-Synthetic, and Synthetic Drug Strategies.","authors":"Brijesh Singh Chauhan, Yash Pal Singh, Burkhard Poeggeler, Sandeep Kumar Singh","doi":"10.2174/0115672050366727250513061730","DOIUrl":"10.2174/0115672050366727250513061730","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is a neurodegenerative disorder associated with age, marked by progressive memory loss linked to the decline of cholinergic neurons, accumulation of amyloid plaques, and the presence of Neurofibrillary Tangles (NFTs). Neuropil threads in the brain contribute to amyloidosis and dementia. Despite extensive research, AD's etiology remains unclear, and currently, no promising therapy exists. This review examines the role of natural, semi-synthetic, and synthetic drugs in AD treatment. Natural drugs demonstrate safety and efficacy with minimal adverse effects, while most agents, whether natural or synthetic, target multiple steps or directly counteract amyloidogenesis, tau protein pathology, oxidative stress, NMDA receptor activity, inflammation, acetylcholine (AChE) function, or α, β, γ secretase activity. In pursuit of improved treatment outcomes, we explore the effectiveness and challenges of various therapeutic interventions. Our hypothesis underscores the importance of an integrated approach combining these drug types for tailored symptom relief, suggesting combined therapies may offer greater therapeutic benefits compared to single-drug approaches. The drugs discussed show potential in regulating AD, thereby presenting viable options for its management. However, to obtain more favorable results, additional studies are needed by combining these drugs.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144201261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anthocyanidins Intake is Associated with Alzheimer's Disease Risk in Americans over 60 Years of Age: Data from NHANES 2007-2008, 2009-2010, and 2017-2018.","authors":"Yan Chen, Jingyi Zhao, Chen Li, Yinhui Yao, Yazhen Shang","doi":"10.2174/0115672050372100250512054404","DOIUrl":"https://doi.org/10.2174/0115672050372100250512054404","url":null,"abstract":"<p><strong>Objective: </strong>At present, there is limited research on the association between dietary intake of anthocyanidins and Alzheimer's disease (AD). More epidemiological studies are needed to better understand this relationship.</p><p><strong>Methods: </strong>We explored the relationship between dietary Anthocyanidins intake and AD among 3806 American adults in the National Health and Nutrition Examination Survey (NHANES) and the United States Department of Agriculture's Food and Nutrient Database for Dietary Studies (FNDDS) from 2007 to 2010, and 2017 to 2018. We use weighted logistic regression model, restricted cubic spline (RCS) and weighted quantile sum (WQS) regression analysis to analyze the relationship between anthocyanidins monomer and AD.</p><p><strong>Results: </strong>The weighted logistic regression model showed that the total intake of anthocyanidins was the fourth (OR:0.979; 95% CI: 0.966-0.992) quantile (relative to the lowest quantile) is related to the reduction of AD risk. RCS analysis showed that the total intake of anthocyanidins was negatively linearly correlated with AD (nonlinear P value was 0.002). The WQS regression analysis shows that cyanidin and malvidin are the main contributors to the comprehensive effects of six anthocyanidins.</p><p><strong>Conclusion: </strong>Our results show that a higher dietary intake of anthocyanidins is associated with a lower risk of AD.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144201259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered Default Mode Network Connectivity in Mild Cognitive Impairment: Insights from Resting-State fMRI Studies.","authors":"Danqi Zhang, Jinhuan Yue, Hanbin Niu, Zeyi Wei, Dong-Hong Huang, Peng Wang, Xiaoling Li, Yuhui Zhao, Qinhong Zhang","doi":"10.2174/0115672050352061250328055829","DOIUrl":"10.2174/0115672050352061250328055829","url":null,"abstract":"<p><p>Mild Cognitive Impairment (MCI) is marked by a measurable decline in cognitive function that exceeds typical age-related changes but does not yet qualify as dementia. The brain's Default Mode Network (DMN) remains active during rest and plays a crucial role in introspective processes, such as memory retrieval and self-referential thinking. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive neuroimaging technique that measures spontaneous fluctuations in blood oxygenation, providing insights into functional connectivity within brain networks. Investigating the DMN using rs-fMRI in individuals with MCI allows researchers to identify early neural changes associated with cognitive decline, which may serve as biomarkers for the early detection of Alzheimer's disease or related dementias. The rs-fMRI technique has been widely used in MCI research to explore the underlying neurobiological mechanisms of cognitive impairment. This study aims to synthesize findings from rs-fMRI studies focusing on alterations in DMN connectivity in MCI populations. This analysis deepens our understanding of the early-stage neural disruptions in MCI and holds significant implications for developing early diagnostic tools and interventions aimed at delaying the progression to dementia.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"83-91"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Relationships Between Neurodegenerative Diseases and Cancer Types: A Computational Approach.","authors":"Claudia Cava, Isabella Castiglioni","doi":"10.2174/0115672050389561250429112631","DOIUrl":"10.2174/0115672050389561250429112631","url":null,"abstract":"<p><strong>Introduction: </strong>Previous studies have shown a correlation between neurodegenerative diseases and cancers. However, the biological processes for these diseases are not completely known, and the genetic factors for their onset are not defined.</p><p><strong>Materials and methods: </strong>This study reports the genetic relationships of different neurodegenerative diseases, such as Multiple Sclerosis (MS), Alzheimer's Disease (AD), and Parkinson's disease (PD) and cancer types (squamous cell lung carcinoma, esophageal adenocarcinoma, and colorectal cancer), with other human traits, based on cross-trait Linkage Disequilibrium Score regression (LDSC). We then applied a clumping approach to select candidate genes for each disease, and via an miRNA analysis, we identified miRNAs that could regulate those genes.</p><p><strong>Results: </strong>LDSC revealed an inverse association of human traits with neurodegenerative diseases and cancer. Indeed, the cancer types studied were positively correlated with \"Body Mass Index (BMI),\" while AD, PD, and MS showed a negative correlation. miR-1-3p, miR-34a-5p, and miR-27a-3p were revealed as common biomarkers among the different pathological conditions.</p><p><strong>Conclusion: </strong>The present study suggests novel genetic associations between neurological diseases, cancer types and new targets to explain the genetic sharing between the diseases.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"232-246"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between Obesity and Cognitive Function in Chinese Older Adults: The Mediating Effects of Sleep Quality and Blood Pressure.","authors":"Shiyi Li, Chan Yong, Yingchao Xiong, Nanyan Li, Zhaowei Yue, Wennuo Liu, Qianqian Liu, Xianlan Li, Qin Ye, Yufei Wang, Junmin Zhou","doi":"10.2174/0115672050381084250528160239","DOIUrl":"10.2174/0115672050381084250528160239","url":null,"abstract":"<p><strong>Introduction: </strong>The mechanisms underlying the relationship between obesity and cognitive function remain unclear, particularly among older adults, where reliable evidence is limited. This study aimed to explore whether the relationship between obesity and cognitive function is mediated by sleep quality and blood pressure (BP) in older Chinese adults.</p><p><strong>Methods: </strong>We conducted an observational study using data from a cluster randomized controlled trial (RCT) with 5 follow-up periods involving older adults in rural China. The trial took place in Sichuan, China, from May 2021 to May 2023. Telephone Interview for Cognitive Status (TICS- 10) was used to assess the participants' cognitive function. Additionally, linear mixed-effects models and mediation analyses were performed.</p><p><strong>Results: </strong>The mean age of participants was 70.89, and 225 out of 506 participants were males. Weight, waist circumference (WC), and hip circumference (HC) were positively associated with cognitive function, while compared to normal/underweight participants, participants with overweight had a significant association with cognitive function. Sleep quality mediated the association between weight and cognitive function (β = 0.01, (95% CI: 0.00 to 0.01), P < 0.001), accounting for a mediating effect proportion of 4.04% (95% CI: 2.19% to 8.00%). Diastolic blood pressure (DBP) mediated the association between overweight (β = 0.02, (95% CI: 0.00 to 0.05), P < 0.001), HC (β = 0.01, (95% CI: 0.00 to 0.01), P = 0.02), and WC (β = 0.01, (95% CI: 0.00, 0.01), P <0.001) and cognitive function, explaining approximately 4.46% (95% CI: 0.41% to 12.00%), 7.16% (95% CI: 0.36%, 17.00%), and 9.60% (95% CI: 1.11%, 25.00%) mediating proportion of the total effect, respectively.</p><p><strong>Discussion: </strong>Our study highlights the potential mediating roles of sleep quality and DBP in the relationship between obesity and cognitive function. The findings contribute to understanding the obesity-cognition link in older adults, particularly in rural settings. However, limitations, such as self-reported sleep measures and unmeasured confounders, warrant caution. Further research is needed to clarify the underlying mechanisms and inform targeted interventions.</p><p><strong>Conclusion: </strong>Our study demonstrates a significant positive association between weight, body mass index (BMI), HC, and WC and cognitive function in older adults. These findings suggest that maintaining a moderately high level of overweight may be protective against cognitive decline in this population. Additionally, the study also provides insights into optimizing cognitive function through factors, such as sleep and BP management.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"315-325"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144201260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Serum Lipid Traits and Cognitive Function in Middle-aged and Elderly Adults: A Longitudinal Study.","authors":"Chuning Luo, Qin Li, Ran Gao, Yijun Zhang, Yijie Wang, Fengyi Huang, Quanmei Li, Xite Zheng, Xiaorui Zhang, Wanqi Liu, Fen Liu","doi":"10.2174/0115672050370810250430112549","DOIUrl":"10.2174/0115672050370810250430112549","url":null,"abstract":"<p><strong>Background: </strong>It is debatable whether demographic factors alter the relationship between serum lipid traits and cognitive function. Few data have examined the effects of non-traditional lipid metrics on the lipid-cognition relationship. We aim to test the generality of relationships between lipid traits and cognitive function in Chinese adults.</p><p><strong>Methods: </strong>Data from 5,959 participants were obtained from the China Health and Retirement Longitudinal Study (2011-2020). The cognitive function was assessed via the Mini-Mental State Examination. Effects of traditional lipid metrics (Total Cholesterol, TC, Triglycerides, TG, Low-Density Lipoprotein, LDL, High-Density Lipoprotein, HDL) and non-traditional lipid metrics (TC/HDL, LDL/HDL) were analyzed. We employed mixed-effect models, Group-Based Trajectory Models (GBTM), and logistic regression to examine the associations between baseline serum lipid traits and cognitive function.</p><p><strong>Results: </strong>As continuous variables, higher TG levels were correlated with higher cognitive scores (P = 0.036), and similar patterns were found in TC/HDL (P < 0.01) and LDL/HDL (P < 0.01). In contrast, higher HDL levels were associated with lower cognitive scores. Similar trends were observed when lipid traits were analyzed as categorical quartiles, and grouped by gender and age. Non-traditional lipid metrics (LDL/HDL, TC/HDL) had higher contributions to the variation of cognitive scores than traditional lipid metrics (TC, TG, LDL, HDL).</p><p><strong>Discussion: </strong>Results of this study further supported the protective effect of TG and negative effect of HDL in elderly adults, though confounding factors like baseline cognitive heterogeneity warrant future investigation. Notably, non-traditional lipid ratios demonstrated stronger predictive value for cognitive variation than individual lipid metrics.</p><p><strong>Conclusion: </strong>Our study provided evidence for the generality of a significant association between traditional/ non-traditional lipid metrics and cognitive function in middle-aged and elderly adults. The factors that vary with genders and age groups do not appear to significantly alter the lipid-cognition relationship.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"266-287"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Framework for an Integrative Theory of Alzheimer's Disease.","authors":"Dmitry V Zaretsky, Maria V Zaretskaia","doi":"10.2174/0115672050381553250425062803","DOIUrl":"10.2174/0115672050381553250425062803","url":null,"abstract":"<p><p>The manuscript describes how the framework of the integrative hypothesis of Alzheimer's disease (AD) can be deciphered using existing experimental and clinical data. First, the analysis of amyloid biomarkers and stable-isotope label kinetics (SILK) studies indicate a correlation between AD diagnosis and heightened cellular uptake of beta-amyloid. Since beta-amyloid must be taken up by cells to become toxic, its uptake rate correlates with neurodegeneration. Also, aggregation seeds cannot form extracellularly due to low beta-amyloid levels in interstitial fluid but can develop inside lysosomes. Consequently, the density of extracellular aggregates correlates positively with cellular amyloid uptake rate. The model, which ties both beta-amyloid cytotoxicity and aggregation to cellular uptake, accurately predicts AD diagnosis patterns in the population. Second, beta-amyloid enters cells through endocytosis. Endocytosed beta-amyloid induces lysosomal permeabilization that occurs without plasma membrane damage and explains intracellular ion disturbances (including calcium overload) after exposure to extracellular beta-amyloid. The permeabilization is caused by channels formed in lysosomal membranes by some amyloid fragments produced by proteolysis of full-length beta-amyloid. Some membrane channels are large enough to leak cathepsins to the cytoplasm, causing necrosis or apoptosis. Also, local spikes of calcium cytosolic concentration due to calcium leakage from lysosomes can activate calpains, contributing to cell death. In surviving cells, accumulation of damaged lysosomes results in autophagy failure and slow mitochondrial recycling, promoting the production of reactive oxygen species and further cell damage. In this framework, AD's etiology is the membrane channel formation by amyloid fragments produced in lysosomes. The pathogenesis includes lysosomal permeabilization and the appearance of activated proteases in the cytoplasm. The correlation between AD diagnosis and the density of amyloid aggregates occurs because both amyloid cytotoxicity and extracellular aggregate formation stem from cellular amyloid uptake. To reflect key processes, we call this framework the Amyloid Degradation Toxicity Hypothesis of Alzheimer's Disease. It explains various phenomena and paradoxes associated with AD pathobiology across molecular, cellular, and biomarker levels. The hypothesis also highlights the limitations of current AD biomarkers and suggests new diagnostic and prognostic tools based on disease pathogenesis. Additionally, the framework identifies potential pharmacological targets for preventing disease progression.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"179-204"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoMT Requirements, Integrated Diagnosis, and Future Trends for Multimodal Early Detection of Alzheimer's Disease.","authors":"Mohamadreza Mohammad Khosravi, Hossein Parsaei","doi":"10.2174/0115672050393916250520101258","DOIUrl":"10.2174/0115672050393916250520101258","url":null,"abstract":"","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"247-250"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Footprint of <i>CHASERR</i> as a Potential Culprit in Alzheimer's Disease Patients: An <i>In-Silico</i>-Experimental Study.","authors":"Zahra Khosroabadi, Anoosha Niazmand, Seyed Reza Mousavi, Neda Hosseini, Nastaran Bagheri, Ahmad Chitsaz, Mansoor Salehi","doi":"10.2174/0115672050381537250422075255","DOIUrl":"10.2174/0115672050381537250422075255","url":null,"abstract":"<p><strong>Objectives: </strong>Dementia has become a major global cause of death, posing significant health and economic challenges. Alzheimer's disease (AD) is the most common type of dementia. Recent studies have shown that long noncoding RNAs (lncRNAs) play a role in AD development. In this context, the current study conducted a comprehensive meta-analysis of high-throughput Gene Expression Omnibus (GEO) datasets to identify significant lncRNAs that could play a crucial role in the pathogenesis of AD.</p><p><strong>Methods: </strong>Three microarray expression profiles of human subjects diagnosed with AD and corresponding healthy controls were obtained from the GEO database. Afterward, the expression profiles from the chosen microarray datasets were combined. A network of differentially expressed genes (DEGs) was visualized, identifying key hub genes. Subsequently, the two significant lncRNAs, identified as <i>LINC01003</i> and <i>CHASERR</i>, were chosen based on the number of interactions between hubs and lncRNAs. Blood samples were collected from AD patients as well as from healthy control individuals. Ultimately, the expression levels of <i>CHASERR</i> and <i>LINC01003</i> were quantitatively assessed in the blood samples of 50 AD patients and 50 healthy controls using the quantitative Real-Time PCR (q-PCR) technique.</p><p><strong>Results: </strong>Experimental validation showed that <i>CHASERR</i> was differentially expressed in Alzheimer's disease (AD) patients compared to the control group. In contrast, LINC01003 revealed no significant difference between the AD patients and the control group.</p><p><strong>Conclusion: </strong>This study thoroughly examined the molecular landscape of AD, identifying key differentially expressed genes and highlighting candidate <i>CHASERR</i> as a potential molecular biomarker for AD patients.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"205-218"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143996512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Novel Mitochondrial Dysfunction-Related Alzheimer's Disease Diagnostic Model Using Bioinformatics and Machine Learning.","authors":"Kuo Zhang, Kai Yang, Gongchang Yu, Bin Shi","doi":"10.2174/0115672050353736241218054012","DOIUrl":"10.2174/0115672050353736241218054012","url":null,"abstract":"<p><strong>Introduction: </strong>Alzheimer's disease (AD) represents the most common neurodegenerative disorder, characterized by progressive cognitive decline and memory loss. Despite the recognition of mitochondrial dysfunction as a critical factor in the pathogenesis of AD, the specific molecular mechanisms remain largely undefined.</p><p><strong>Methods: </strong>This study aimed to identify novel biomarkers and therapeutic strategies associated with mitochondrial dysfunction in AD by employing bioinformatics combined with machine learning methodologies. We performed Weighted Gene Co-expression Network Analysis (WGCNA) utilizing gene expression data from the NCBI Gene Expression Omnibus (GEO) database and isolated mitochondria-related genes through the MitoCarta3.0 database. By intersecting WGCNA-derived module genes with identified mitochondrial genes, we compiled a list of 60 mitochondrial dysfunction- related genes (MRGs) significantly enriched in pathways pertinent to mitochondrial function, such as the citrate cycle and oxidative phosphorylation.</p><p><strong>Results: </strong>Employing machine learning techniques, including random forest and LASSO, along with the CytoHubba algorithm, we identified key genes with strong diagnostic potential, such as ACO2, CS, MRPS27, SDHA, SLC25A20, and SYNJ2BP, verified through ROC analysis. Furthermore, an interaction network involving miRNA-MRGs-transcription factors and a protein-drug interaction network revealed potential therapeutic compounds such as Congo red and kynurenic acid that target MRGs.</p><p><strong>Conclusion: </strong>These findings delineate the intricate role of mitochondrial dysfunction in AD and highlight promising avenues for further exploration of biomarkers and therapeutic interventions in this devastating disease.</p>","PeriodicalId":94309,"journal":{"name":"Current Alzheimer research","volume":" ","pages":"19-37"},"PeriodicalIF":1.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12376136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142934318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}