{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:38:43Z","timestamp":1791049123831,"version":"4.1.0"},"reference-count":29,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T00:00:00Z","timestamp":1713398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Intramural Research Program of the National Institute on Aging, NIH"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cells"],"abstract":"<jats:p>Analysis of blood-based indicators of brain health could provide an understanding of early disease mechanisms and pinpoint possible intervention strategies. By examining lipid profiles in extracellular vesicles (EVs), secreted particles from all cells, including astrocytes and neurons, and circulating in clinical samples, important insights regarding the brain\u2019s composition can be gained. Herein, a targeted lipidomic analysis was carried out in EVs derived from plasma samples after removal of lipoproteins from individuals with Alzheimer\u2019s disease (AD) and healthy controls. Differences were observed for selected lipid species of glycerolipids (GLs), glycerophospholipids (GPLs), lysophospholipids (LPLs) and sphingolipids (SLs) across three distinct EV subpopulations (all-cell origin, derived by immunocapture of CD9, CD81 and CD63; neuronal origin, derived by immunocapture of L1CAM; and astrocytic origin, derived by immunocapture of GLAST). The findings provide new insights into the lipid composition of EVs isolated from plasma samples regarding specific lipid families (MG, DG, Cer, PA, PC, PE, PI, LPI, LPE, LPC), as well as differences between AD and control individuals. This study emphasizes the crucial role of plasma EV lipidomics analysis as a comprehensive approach for identifying biomarkers and biological targets in AD and related disorders, facilitating early diagnosis and potentially informing novel interventions.<\/jats:p>","DOI":"10.3390\/cells13080702","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T10:30:52Z","timestamp":1713436252000},"page":"702","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Lipidomic Analysis of Plasma Extracellular Vesicles Derived from Alzheimer\u2019s Disease Patients"],"prefix":"10.3390","volume":"13","author":[{"given":"Marios G.","family":"Krokidis","sequence":"first","affiliation":[{"name":"Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna A.","family":"Pucha","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA\/NIH), Baltimore, MD 21224, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maja","family":"Mustapic","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA\/NIH), Baltimore, MD 21224, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Themis P.","family":"Exarchos","sequence":"additional","affiliation":[{"name":"Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0053-7847","authenticated-orcid":false,"given":"Panagiotis","family":"Vlamos","sequence":"additional","affiliation":[{"name":"Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2181-3118","authenticated-orcid":false,"given":"Dimitrios","family":"Kapogiannis","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA\/NIH), Baltimore, MD 21224, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.jprot.2014.01.014","article-title":"Combination of metabolomic and phospholipid-profiling approaches for the study of Alzheimer\u2019s disease","volume":"104","year":"2014","journal-title":"J. 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