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Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease

AIM: Alzheimer’s disease (AD) and ischemic stroke (IS), two major neurological diseases, are suggested to be associated in clinical and pathophysiological levels. Previous studies have provided some insights into the possible genetic mechanisms behind the correlation between AD and IS, but this issu...

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Autores principales: Liu, Wenhao, Wan, Mengyao, Shi, Yinchao, Yang, Xin-Zhuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715755/
https://www.ncbi.nlm.nih.gov/pubmed/36466169
http://dx.doi.org/10.3389/fnins.2022.1008752
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author Liu, Wenhao
Wan, Mengyao
Shi, Yinchao
Yang, Xin-Zhuang
author_facet Liu, Wenhao
Wan, Mengyao
Shi, Yinchao
Yang, Xin-Zhuang
author_sort Liu, Wenhao
collection PubMed
description AIM: Alzheimer’s disease (AD) and ischemic stroke (IS), two major neurological diseases, are suggested to be associated in clinical and pathophysiological levels. Previous studies have provided some insights into the possible genetic mechanisms behind the correlation between AD and IS, but this issue is still not clear. We implemented transcriptomic analysis to detect common hub genes and pathways to help promote the understanding of this issue. MATERIALS AND METHODS: Four gene expression profiling datasets (GSE16561, GSE58294, GSE63060, and GSE63061) of peripheral whole blood, which contain 108 IS samples, 284 AD samples, and 285 matched controls, were employed to detect differentially expressed genes (DEGs) for AD and IS, which were further analyzed for shared biological pathways, candidate drugs, and transcription factors. Protein-protein interaction (PPI) network and drug-target interaction analysis were applied to identify hub genes and drug targets, respectively. Result verification was done with other independent datasets (GSE37587, GSE46480, and GSE140829). The difference in proportions of various immune cells in the peripheral blood of AD and IS patients were evaluated using CIBERSORT. RESULTS: We identified 74 DEGs and 18 biological processes with statistical significance shared by AD and IS, 9 of which were immune-related pathways. Five hub genes scored high in the topological analysis of the PPI network, and we also found eight drug target genes and candidate drugs which were associated with AD and IS. As for immunological changes, an increase in the proportion of M0 macrophages was found in the peripheral circulation of both AD and IS patients, and SOD1 expression was significantly correlated with this change. CONCLUSION: Collectively, the common DEGs and shared pathways found in this study suggest a potential shared etiology between AD and IS, behind which immune system, particularly the M0 macrophage elevation, might have important roles. While, the shared hub genes, potential therapeutic gene targets and drugs reported in this study provide promising treatment strategies for AD and IS.
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spelling pubmed-97157552022-12-03 Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease Liu, Wenhao Wan, Mengyao Shi, Yinchao Yang, Xin-Zhuang Front Neurosci Neuroscience AIM: Alzheimer’s disease (AD) and ischemic stroke (IS), two major neurological diseases, are suggested to be associated in clinical and pathophysiological levels. Previous studies have provided some insights into the possible genetic mechanisms behind the correlation between AD and IS, but this issue is still not clear. We implemented transcriptomic analysis to detect common hub genes and pathways to help promote the understanding of this issue. MATERIALS AND METHODS: Four gene expression profiling datasets (GSE16561, GSE58294, GSE63060, and GSE63061) of peripheral whole blood, which contain 108 IS samples, 284 AD samples, and 285 matched controls, were employed to detect differentially expressed genes (DEGs) for AD and IS, which were further analyzed for shared biological pathways, candidate drugs, and transcription factors. Protein-protein interaction (PPI) network and drug-target interaction analysis were applied to identify hub genes and drug targets, respectively. Result verification was done with other independent datasets (GSE37587, GSE46480, and GSE140829). The difference in proportions of various immune cells in the peripheral blood of AD and IS patients were evaluated using CIBERSORT. RESULTS: We identified 74 DEGs and 18 biological processes with statistical significance shared by AD and IS, 9 of which were immune-related pathways. Five hub genes scored high in the topological analysis of the PPI network, and we also found eight drug target genes and candidate drugs which were associated with AD and IS. As for immunological changes, an increase in the proportion of M0 macrophages was found in the peripheral circulation of both AD and IS patients, and SOD1 expression was significantly correlated with this change. CONCLUSION: Collectively, the common DEGs and shared pathways found in this study suggest a potential shared etiology between AD and IS, behind which immune system, particularly the M0 macrophage elevation, might have important roles. While, the shared hub genes, potential therapeutic gene targets and drugs reported in this study provide promising treatment strategies for AD and IS. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715755/ /pubmed/36466169 http://dx.doi.org/10.3389/fnins.2022.1008752 Text en Copyright © 2022 Liu, Wan, Shi and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Liu, Wenhao
Wan, Mengyao
Shi, Yinchao
Yang, Xin-Zhuang
Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title_full Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title_fullStr Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title_full_unstemmed Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title_short Transcriptomic analysis identifies shared biological foundations between ischemic stroke and Alzheimer’s disease
title_sort transcriptomic analysis identifies shared biological foundations between ischemic stroke and alzheimer’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715755/
https://www.ncbi.nlm.nih.gov/pubmed/36466169
http://dx.doi.org/10.3389/fnins.2022.1008752
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