{"title":"Bridging pathologies: Mechanistic insights into the diabetes-Alzheimer's nexus.","authors":"Aniket Kakkar, Harpreet Singh, Yash Jasoria, Arvind Kumar, Shivani Chopra, Hitesh Chopra, Arun Kumar Mishra","doi":"10.17179/excli2025-9165","DOIUrl":null,"url":null,"abstract":"<p><p>Type 2 diabetes mellitus (T2DM) is increasingly recognized as a major risk factor for Alzheimer's disease (AD), with mounting evidence highlighting shared pathophysiological mechanisms. This review explores the intricate biological and molecular links between these two chronic disorders. Key overlapping pathways include impaired insulin signaling, chronic inflammation, oxidative stress, mitochondrial dysfunction, amyloid-beta (Aβ) accumulation, tau hyperphosphorylation, and the formation of advanced glycation end-products (AGEs). Disruption of insulin signaling in the brain contributes to synaptic loss and neurodegeneration, while systemic metabolic disturbances aggravate blood-brain barrier dysfunction and neurovascular damage. Emerging studies also underscore the role of antidiabetic treatments, especially newer agents targeting the gut-brain axis, in modulating AD progression. The review further examines preclinical models, clinical observations, and the development of biomarkers to improve early detection and intervention. Despite growing insights, challenges remain in translating mechanistic knowledge into effective therapies. A multidisciplinary approach integrating metabolic control and neuroprotective strategies is essential for addressing the comorbid burden of T2DM and AD. See also the graphical abstract(Fig. 1).</p>","PeriodicalId":12247,"journal":{"name":"EXCLI Journal","volume":"25 ","pages":"261-289"},"PeriodicalIF":6.2000,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12982873/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EXCLI Journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.17179/excli2025-9165","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Type 2 diabetes mellitus (T2DM) is increasingly recognized as a major risk factor for Alzheimer's disease (AD), with mounting evidence highlighting shared pathophysiological mechanisms. This review explores the intricate biological and molecular links between these two chronic disorders. Key overlapping pathways include impaired insulin signaling, chronic inflammation, oxidative stress, mitochondrial dysfunction, amyloid-beta (Aβ) accumulation, tau hyperphosphorylation, and the formation of advanced glycation end-products (AGEs). Disruption of insulin signaling in the brain contributes to synaptic loss and neurodegeneration, while systemic metabolic disturbances aggravate blood-brain barrier dysfunction and neurovascular damage. Emerging studies also underscore the role of antidiabetic treatments, especially newer agents targeting the gut-brain axis, in modulating AD progression. The review further examines preclinical models, clinical observations, and the development of biomarkers to improve early detection and intervention. Despite growing insights, challenges remain in translating mechanistic knowledge into effective therapies. A multidisciplinary approach integrating metabolic control and neuroprotective strategies is essential for addressing the comorbid burden of T2DM and AD. See also the graphical abstract(Fig. 1).
期刊介绍:
EXCLI Journal publishes original research reports, authoritative reviews and case reports of experimental and clinical sciences.
The journal is particularly keen to keep a broad view of science and technology, and therefore welcomes papers which bridge disciplines and may not suit the narrow specialism of other journals. Although the general emphasis is on biological sciences, studies from the following fields are explicitly encouraged (alphabetical order):
aging research, behavioral sciences, biochemistry, cell biology, chemistry including analytical chemistry, clinical and preclinical studies, drug development, environmental health, ergonomics, forensic medicine, genetics, hepatology and gastroenterology, immunology, neurosciences, occupational medicine, oncology and cancer research, pharmacology, proteomics, psychiatric research, psychology, systems biology, toxicology