{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T15:52:45Z","timestamp":1783785165130,"version":"3.55.0"},"reference-count":65,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T00:00:00Z","timestamp":1754870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genes"],"abstract":"<jats:p>Alzheimer\u2019s disease (AD) affects approximately 50 million people worldwide, with women comprising two-thirds of those affected. Despite this disproportionate impact, the sex-specific pathological mechanisms underlying AD in women remain poorly understood, and female-specific biomarkers have been significantly understudied. This critical knowledge gap requires focused research to improve diagnostic and therapeutic approaches for women with AD. In this review, we systematically examine the pathological mechanisms underlying AD in women, including sex-related differences in inflammation, autophagy, and metabolic dysfunction. We further explore microRNA (miRNA) expression patterns and evaluate miRNA candidates as potential biomarkers for AD in women based on current literature. Through this analysis, we identified approximately 20 miRNA candidates derived from diverse human samples, including brain tissue, blood, and cerebrospinal fluid, in multiple independent studies. These candidates demonstrate the potential for developing accessible, non-invasive biomarkers, particularly those identified in blood and cerebrospinal fluid. However, the limited overlap between studies highlights that female-specific miRNA biomarker research for AD remains in its early discovery phase, emphasizing the urgent need for large-scale validation studies and standardized methodological approaches to advance this promising field for clinical application.<\/jats:p>","DOI":"10.3390\/genes16080943","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T17:22:07Z","timestamp":1754932927000},"page":"943","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["MicroRNAs as Potential Biomarkers for Alzheimer\u2019s Disease in Women"],"prefix":"10.3390","volume":"16","author":[{"given":"Shiwei","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lily","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Neurology, Department of Veterans Affairs Health Care System, San Francisco and University of California, San Francisco, CA 94121, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lilly","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Neurology, Department of Veterans Affairs Health Care System, San Francisco and University of California, San Francisco, CA 94121, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7961-8545","authenticated-orcid":false,"given":"Jian","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Neurology, Department of Veterans Affairs Health Care System, San Francisco and University of California, San Francisco, CA 94121, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alzheimer\u2019s Association (2016). 2016 Alzheimer\u2019s disease facts and figures. 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