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Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease
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dc.contributor.author Lee, Seulah -
dc.contributor.author Jang, Kuk-In -
dc.contributor.author Lee, Hagyeong -
dc.contributor.author Jo, Yeon Suk -
dc.contributor.author Kwon, Dayoung -
dc.contributor.author Park, Geuna -
dc.contributor.author Bae, Sungwon -
dc.contributor.author Kwon, Yang Woo -
dc.contributor.author Jang, Jin-Hyeok -
dc.contributor.author Oh, Yong-Seok -
dc.contributor.author Lee, Chany -
dc.contributor.author Yoon, Jong Hyuk -
dc.date.accessioned 2024-09-11T09:40:12Z -
dc.date.available 2024-09-11T09:40:12Z -
dc.date.created 2024-03-28 -
dc.date.issued 2024-06 -
dc.identifier.issn 1474-9718 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/56865 -
dc.description.abstract An early diagnosis of Alzheimer's disease is crucial as treatment efficacy is limited to the early stages. However, the current diagnostic methods are limited to mid or later stages of disease development owing to the limitations of clinical examinations and amyloid plaque imaging. Therefore, this study aimed to identify molecular signatures including blood plasma extracellular vesicle biomarker proteins associated with Alzheimer's disease to aid early-stage diagnosis. The hippocampus, cortex, and blood plasma extracellular vesicles of 3- and 6-month-old 5xFAD mice were analyzed using quantitative proteomics. Subsequent bioinformatics and biochemical analyses were performed to compare the molecular signatures between wild type and 5xFAD mice across different brain regions and age groups to elucidate disease pathology. There was a unique signature of significantly altered proteins in the hippocampal and cortical proteomes of 3- and 6-month-old mice. The plasma extracellular vesicle proteomes exhibited distinct informatic features compared with the other proteomes. Furthermore, the regulation of several canonical pathways (including phosphatidylinositol 3-kinase/protein kinase B signaling) differed between the hippocampus and cortex. Twelve potential biomarkers for the detection of early-stage Alzheimer's disease were identified and validated using plasma extracellular vesicles from stage-divided patients. Finally, integrin α-IIb, creatine kinase M-type, filamin C, glutamine γ-glutamyltransferase 2, and lysosomal α-mannosidase were selected as distinguishing biomarkers for healthy individuals and early-stage Alzheimer's disease patients using machine learning modeling with approximately 79% accuracy. Our study identified novel early-stage molecular signatures associated with the progression of Alzheimer's disease, thereby providing novel insights into its pathogenesis. © 2024 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. -
dc.language English -
dc.publisher Wiley -
dc.title Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease -
dc.type Article -
dc.identifier.doi 10.1111/acel.14137 -
dc.identifier.wosid 001178761600001 -
dc.identifier.scopusid 2-s2.0-85186910112 -
dc.identifier.bibliographicCitation Lee, Seulah. (2024-06). Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease. Aging Cell, 23(6). doi: 10.1111/acel.14137 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Alzheimer&apos -
dc.subject.keywordAuthor s disease -
dc.subject.keywordAuthor biomarker -
dc.subject.keywordAuthor early-stage Alzheimer&apos -
dc.subject.keywordAuthor extracellular vesicle -
dc.subject.keywordAuthor machine learning -
dc.subject.keywordAuthor proteomics -
dc.subject.keywordPlus ALZHEIMERS-DISEASE -
dc.subject.keywordPlus TRANSGENIC MICE -
dc.subject.keywordPlus MOUSE MODEL -
dc.subject.keywordPlus BRAIN -
dc.subject.keywordPlus BIOMARKER -
dc.subject.keywordPlus ALPHA-2-MACROGLOBULIN -
dc.subject.keywordPlus NEURODEGENERATION -
dc.subject.keywordPlus CLASSIFICATION -
dc.subject.keywordPlus HAPTOGLOBIN -
dc.subject.keywordPlus PATHWAY -
dc.citation.number 6 -
dc.citation.title Aging Cell -
dc.citation.volume 23 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Cell Biology; Geriatrics & Gerontology -
dc.relation.journalWebOfScienceCategory Cell Biology; Geriatrics & Gerontology -
dc.type.docType Article -
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