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Extracellular Vesicle-Enriched miRNA-Biomarkers Show Improved Utility for Detecting Alzheimer’s Disease Dementia and Medial Temporal Atrophy

痴呆 萎缩 小RNA 疾病 医学 神经影像学 细胞外小泡 路易氏体型失智症 胞外囊泡 生物标志物 病理 生物信息学 肿瘤科 生物 微泡 精神科 遗传学 基因 细胞生物学
作者
Yuek Ling Chai,Lea Strohm,Yanan Zhu,Rachel S.L. Chia,Joyce R. Chong,Danesha Devini Suresh,Li Han Zhou,Heng Phon Too,Saima Hilal,Tomas Radivoyevitch,Edward H. Koo,Christopher Chen,Gunnar Poplawski
出处
期刊:Journal of Alzheimer's Disease [IOS Press]
卷期号:99 (4): 1317-1331 被引量:3
标识
DOI:10.3233/jad-230572
摘要

Background: Emerging diagnostic modalities suggest that miRNA profiles within extracellular vesicles (EVs) isolated from peripheral blood specimens may provide a non-invasive diagnostic alternative for dementia and neurodegenerative disorders. Given that EVs confer a protective environment against miRNA enzymatic degradation, the miRNAs enriched in the EV fraction of blood samples could serve as more stable and clinically relevant biomarkers compared to those obtained from serum. Objective: To compare miRNAs isolated from EVs versus serum in blood taken from Alzheimer’s disease (AD) dementia patients and control cohorts. Methods: We compared 25 AD patients to 34 individuals who exhibited no cognitive impairments (NCI). Subjects were Singapore residents with Chinese heritage. miRNAs purified from serum versus blood-derived EVs were analyzed for associations with AD dementia and medial temporal atrophy detected by magnetic resonance imaging. Results: Compared to serum-miRNAs, we identified almost twice as many EV-miRNAs associated with AD dementia, and they also correlated more significantly with medial temporal atrophy, a neuroimaging marker of AD-brain pathology. We further developed combination panels of serum-miRNAs and EV-miRNAs with improved performance in identifying AD dementia. Dominant in both panels was miRNA-1290. Conclusions: This data indicates that miRNA profiling from EVs offers diagnostic superiority. This underscores the role of EVs as vectors harboring prognostic biomarkers for neurodegenerative disorders and suggests their potential in yielding novel biomarkers for AD diagnosis.
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