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Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them

BACKGROUND: Vascular dementia (VaD) and carotid atherosclerotic plaques are common in the elderly population, conferring a heavy burden on families and society. Accumulating evidence indicates carotid atherosclerotic plaques to be a risk factor for VaD. However, the underlying mechanisms for this as...

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Autores principales: Shu, Jun, Ren, Yiqing, Tan, Wen, Wei, Wenshi, Zhang, Li, Chang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574221/
https://www.ncbi.nlm.nih.gov/pubmed/36262886
http://dx.doi.org/10.3389/fnagi.2022.967146
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author Shu, Jun
Ren, Yiqing
Tan, Wen
Wei, Wenshi
Zhang, Li
Chang, Jie
author_facet Shu, Jun
Ren, Yiqing
Tan, Wen
Wei, Wenshi
Zhang, Li
Chang, Jie
author_sort Shu, Jun
collection PubMed
description BACKGROUND: Vascular dementia (VaD) and carotid atherosclerotic plaques are common in the elderly population, conferring a heavy burden on families and society. Accumulating evidence indicates carotid atherosclerotic plaques to be a risk factor for VaD. However, the underlying mechanisms for this association are mainly unknown. MATERIALS AND METHODS: We analyzed temporal cortex gene expression data of the GSE122063 dataset and gene expression data of the GSE163154 dataset to identify commonly differentially expressed genes (DEGs). Then we performed functional enrichment analysis, immune cell infiltration and evaluation, correlation analysis between differentially expressed immune-related genes (DEIRGs) and immune cells, receiver operating characteristic (ROC) analysis, and drug-gene analysis. RESULTS: We identified 41 overlapped DEGs between the VaD and carotid atherosclerosis plaque datasets. Functional enrichment analyses revealed that these overlapped DEGs were mainly enriched in inflammatory and immune-related processes. Immunocyte infiltration and evaluation results showed that M0 macrophages, M2 macrophages, and T cells gamma delta had a dominant abundance in carotid atherosclerosis plaque samples, and M0 macrophages showed a significantly different infiltration percentage between the early and advanced stage plaques group. Resting CD4 memory T cells, M2 macrophages, and naive B cells were the top three highest infiltrating fractions in VaD. Furthermore, B cells and NK cells showed a different infiltration percentage between VaD and matched controls. We identified 12 DEIRGs, and the result of correlation analysis revealed that these DEIRGs were closely related to differentially expressed immune cells. We identified five key DEIRGs based on ROC analysis. The drug-gene interaction analysis showed that four drugs (avacopan, CCX354, BMS-817399, and ASK-8007) could be potential drugs for VaD and carotid atherosclerotic plaques treatment. CONCLUSION: Collectively, these findings indicated that inflammatory and immune-related processes be a crucial common pathophysiological mechanism shared by VaD and carotid plaques. This study might provide new insights into common molecular mechanisms between VaD and carotid plaques and potential targets for the treatment.
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spelling pubmed-95742212022-10-18 Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them Shu, Jun Ren, Yiqing Tan, Wen Wei, Wenshi Zhang, Li Chang, Jie Front Aging Neurosci Neuroscience BACKGROUND: Vascular dementia (VaD) and carotid atherosclerotic plaques are common in the elderly population, conferring a heavy burden on families and society. Accumulating evidence indicates carotid atherosclerotic plaques to be a risk factor for VaD. However, the underlying mechanisms for this association are mainly unknown. MATERIALS AND METHODS: We analyzed temporal cortex gene expression data of the GSE122063 dataset and gene expression data of the GSE163154 dataset to identify commonly differentially expressed genes (DEGs). Then we performed functional enrichment analysis, immune cell infiltration and evaluation, correlation analysis between differentially expressed immune-related genes (DEIRGs) and immune cells, receiver operating characteristic (ROC) analysis, and drug-gene analysis. RESULTS: We identified 41 overlapped DEGs between the VaD and carotid atherosclerosis plaque datasets. Functional enrichment analyses revealed that these overlapped DEGs were mainly enriched in inflammatory and immune-related processes. Immunocyte infiltration and evaluation results showed that M0 macrophages, M2 macrophages, and T cells gamma delta had a dominant abundance in carotid atherosclerosis plaque samples, and M0 macrophages showed a significantly different infiltration percentage between the early and advanced stage plaques group. Resting CD4 memory T cells, M2 macrophages, and naive B cells were the top three highest infiltrating fractions in VaD. Furthermore, B cells and NK cells showed a different infiltration percentage between VaD and matched controls. We identified 12 DEIRGs, and the result of correlation analysis revealed that these DEIRGs were closely related to differentially expressed immune cells. We identified five key DEIRGs based on ROC analysis. The drug-gene interaction analysis showed that four drugs (avacopan, CCX354, BMS-817399, and ASK-8007) could be potential drugs for VaD and carotid atherosclerotic plaques treatment. CONCLUSION: Collectively, these findings indicated that inflammatory and immune-related processes be a crucial common pathophysiological mechanism shared by VaD and carotid plaques. This study might provide new insights into common molecular mechanisms between VaD and carotid plaques and potential targets for the treatment. Frontiers Media S.A. 2022-10-03 /pmc/articles/PMC9574221/ /pubmed/36262886 http://dx.doi.org/10.3389/fnagi.2022.967146 Text en Copyright © 2022 Shu, Ren, Tan, Wei, Zhang and Chang. 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
Shu, Jun
Ren, Yiqing
Tan, Wen
Wei, Wenshi
Zhang, Li
Chang, Jie
Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title_full Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title_fullStr Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title_full_unstemmed Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title_short Identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
title_sort identification of potential drug targets for vascular dementia and carotid plaques by analyzing underlying molecular signatures shared by them
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574221/
https://www.ncbi.nlm.nih.gov/pubmed/36262886
http://dx.doi.org/10.3389/fnagi.2022.967146
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