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Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network

Small extracellular vesicle (sEV) is an emerging source of potential biomarkers of Alzheimer's disease (AD), but the role of microRNAs (miRNAs) in sEV is not well understood. In this study, we conducted a comprehensive analysis of sEV-derived miRNAs in AD using small RNA sequencing and coexpres...

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Autores principales: Sun, Yuzhe, Hefu, Zhen, Li, Benchao, Lifang, Wang, Zhijie, Song, Zhou, Li, Deng, Yan, Zhili, Liu, Ding, Jiahong, Li, Tao, Zhang, Wenwei, Chao, Nie, Rong, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202186/
https://www.ncbi.nlm.nih.gov/pubmed/37223486
http://dx.doi.org/10.34133/research.0114
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author Sun, Yuzhe
Hefu, Zhen
Li, Benchao
Lifang, Wang
Zhijie, Song
Zhou, Li
Deng, Yan
Zhili, Liu
Ding, Jiahong
Li, Tao
Zhang, Wenwei
Chao, Nie
Rong, Shuang
author_facet Sun, Yuzhe
Hefu, Zhen
Li, Benchao
Lifang, Wang
Zhijie, Song
Zhou, Li
Deng, Yan
Zhili, Liu
Ding, Jiahong
Li, Tao
Zhang, Wenwei
Chao, Nie
Rong, Shuang
author_sort Sun, Yuzhe
collection PubMed
description Small extracellular vesicle (sEV) is an emerging source of potential biomarkers of Alzheimer's disease (AD), but the role of microRNAs (miRNAs) in sEV is not well understood. In this study, we conducted a comprehensive analysis of sEV-derived miRNAs in AD using small RNA sequencing and coexpression network analysis. We examined a total of 158 samples, including 48 from AD patients, 48 from patients with mild cognitive impairment (MCI), and 62 from healthy controls. We identified an miRNA network module (M1) that was strongly linked to neural function and showed the strongest association with AD diagnosis and cognitive impairment. The expression of miRNAs in the module was decreased in both AD and MCI patients compared to controls. Conservation analysis revealed that M1 was highly preserved in the healthy control group but dysfunctional in the AD and MCI groups, suggesting that changes in the expression of miRNAs in this module may be an early response to cognitive decline prior to the appearance of AD pathology. We further validated the expression levels of the hub miRNAs in M1 in an independent population. The functional enrichment analysis showed that 4 hub miRNAs might interact with a GDF11-centered network and play a critical role in the neuropathology of AD. In summary, our study provides new insights into the role of sEV-derived miRNAs in AD and suggests that M1 miRNAs may serve as potential biomarkers for the early diagnosis and monitoring of AD.
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spelling pubmed-102021862023-05-23 Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network Sun, Yuzhe Hefu, Zhen Li, Benchao Lifang, Wang Zhijie, Song Zhou, Li Deng, Yan Zhili, Liu Ding, Jiahong Li, Tao Zhang, Wenwei Chao, Nie Rong, Shuang Research (Wash D C) Research Article Small extracellular vesicle (sEV) is an emerging source of potential biomarkers of Alzheimer's disease (AD), but the role of microRNAs (miRNAs) in sEV is not well understood. In this study, we conducted a comprehensive analysis of sEV-derived miRNAs in AD using small RNA sequencing and coexpression network analysis. We examined a total of 158 samples, including 48 from AD patients, 48 from patients with mild cognitive impairment (MCI), and 62 from healthy controls. We identified an miRNA network module (M1) that was strongly linked to neural function and showed the strongest association with AD diagnosis and cognitive impairment. The expression of miRNAs in the module was decreased in both AD and MCI patients compared to controls. Conservation analysis revealed that M1 was highly preserved in the healthy control group but dysfunctional in the AD and MCI groups, suggesting that changes in the expression of miRNAs in this module may be an early response to cognitive decline prior to the appearance of AD pathology. We further validated the expression levels of the hub miRNAs in M1 in an independent population. The functional enrichment analysis showed that 4 hub miRNAs might interact with a GDF11-centered network and play a critical role in the neuropathology of AD. In summary, our study provides new insights into the role of sEV-derived miRNAs in AD and suggests that M1 miRNAs may serve as potential biomarkers for the early diagnosis and monitoring of AD. AAAS 2023-04-13 /pmc/articles/PMC10202186/ /pubmed/37223486 http://dx.doi.org/10.34133/research.0114 Text en Copyright © 2023 Yuzhe Sun et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Science and Technology Review Publishing House. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Sun, Yuzhe
Hefu, Zhen
Li, Benchao
Lifang, Wang
Zhijie, Song
Zhou, Li
Deng, Yan
Zhili, Liu
Ding, Jiahong
Li, Tao
Zhang, Wenwei
Chao, Nie
Rong, Shuang
Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title_full Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title_fullStr Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title_full_unstemmed Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title_short Plasma Extracellular Vesicle MicroRNA Analysis of Alzheimer’s Disease Reveals Dysfunction of a Neural Correlation Network
title_sort plasma extracellular vesicle microrna analysis of alzheimer’s disease reveals dysfunction of a neural correlation network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202186/
https://www.ncbi.nlm.nih.gov/pubmed/37223486
http://dx.doi.org/10.34133/research.0114
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