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Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling

To identify the molecular mechanisms and novel therapeutic agents of late-onset Alzheimer’s disease (AD), we performed integrative network analysis using multiple transcriptomic profiles of human brains. With the hypothesis that AD pathology involves the whole cerebrum, we first identified co-expres...

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Autores principales: Zhou, Jiaxin, Li, Qingyong, Wu, Wensi, Zhang, Xiaojun, Zuo, Zhiyi, Lu, Yanan, Zhao, Huiying, Wang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051440/
https://www.ncbi.nlm.nih.gov/pubmed/35493947
http://dx.doi.org/10.3389/fnagi.2022.850217
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author Zhou, Jiaxin
Li, Qingyong
Wu, Wensi
Zhang, Xiaojun
Zuo, Zhiyi
Lu, Yanan
Zhao, Huiying
Wang, Zhi
author_facet Zhou, Jiaxin
Li, Qingyong
Wu, Wensi
Zhang, Xiaojun
Zuo, Zhiyi
Lu, Yanan
Zhao, Huiying
Wang, Zhi
author_sort Zhou, Jiaxin
collection PubMed
description To identify the molecular mechanisms and novel therapeutic agents of late-onset Alzheimer’s disease (AD), we performed integrative network analysis using multiple transcriptomic profiles of human brains. With the hypothesis that AD pathology involves the whole cerebrum, we first identified co-expressed modules across multiple cerebral regions of the aging human brain. Among them, two modules (M3 and M8) consisting of 1,429 protein-coding genes were significantly enriched with AD-correlated genes. Differential expression analysis of microarray, bulk RNA-sequencing (RNA-seq) data revealed the dysregulation of M3 and M8 across different cerebral regions in both normal aging and AD. The cell-type enrichment analysis and differential expression analysis at the single-cell resolution indicated the extensive neuronal vulnerability in AD pathogenesis. Transcriptomic-based drug screening from Connectivity Map proposed Gly-His-Lys acetate salt (GHK) as a potential drug candidate that could probably restore the dysregulated genes of the M3 and M8 network. Pretreatment with GHK showed a neuroprotective effect against amyloid-beta-induced injury in differentiated human neuron-like SH-SY5Y cells. Taken together, our findings uncover a dysregulated network disrupted across multiple cerebral regions in AD and propose pretreatment with GHK as a novel neuroprotective strategy against AD.
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spelling pubmed-90514402022-04-30 Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling Zhou, Jiaxin Li, Qingyong Wu, Wensi Zhang, Xiaojun Zuo, Zhiyi Lu, Yanan Zhao, Huiying Wang, Zhi Front Aging Neurosci Neuroscience To identify the molecular mechanisms and novel therapeutic agents of late-onset Alzheimer’s disease (AD), we performed integrative network analysis using multiple transcriptomic profiles of human brains. With the hypothesis that AD pathology involves the whole cerebrum, we first identified co-expressed modules across multiple cerebral regions of the aging human brain. Among them, two modules (M3 and M8) consisting of 1,429 protein-coding genes were significantly enriched with AD-correlated genes. Differential expression analysis of microarray, bulk RNA-sequencing (RNA-seq) data revealed the dysregulation of M3 and M8 across different cerebral regions in both normal aging and AD. The cell-type enrichment analysis and differential expression analysis at the single-cell resolution indicated the extensive neuronal vulnerability in AD pathogenesis. Transcriptomic-based drug screening from Connectivity Map proposed Gly-His-Lys acetate salt (GHK) as a potential drug candidate that could probably restore the dysregulated genes of the M3 and M8 network. Pretreatment with GHK showed a neuroprotective effect against amyloid-beta-induced injury in differentiated human neuron-like SH-SY5Y cells. Taken together, our findings uncover a dysregulated network disrupted across multiple cerebral regions in AD and propose pretreatment with GHK as a novel neuroprotective strategy against AD. Frontiers Media S.A. 2022-04-15 /pmc/articles/PMC9051440/ /pubmed/35493947 http://dx.doi.org/10.3389/fnagi.2022.850217 Text en Copyright © 2022 Zhou, Li, Wu, Zhang, Zuo, Lu, Zhao and Wang. 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
Zhou, Jiaxin
Li, Qingyong
Wu, Wensi
Zhang, Xiaojun
Zuo, Zhiyi
Lu, Yanan
Zhao, Huiying
Wang, Zhi
Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title_full Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title_fullStr Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title_full_unstemmed Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title_short Discovery of Novel Drug Candidates for Alzheimer’s Disease by Molecular Network Modeling
title_sort discovery of novel drug candidates for alzheimer’s disease by molecular network modeling
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051440/
https://www.ncbi.nlm.nih.gov/pubmed/35493947
http://dx.doi.org/10.3389/fnagi.2022.850217
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