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Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia
Vascular dementia (VaD) is the second most common cause of dementia. At present, precise molecular processes of VaD are unclear. We attempted to discover the VaD relevant candidate genes, enrichment biological processes and pathways, key targets, and the underlying mechanism by microarray bioinforma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296774/ https://www.ncbi.nlm.nih.gov/pubmed/35873459 http://dx.doi.org/10.3389/fgene.2022.860122 |
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author | Wang, Yuye Lv, Shuang Zhou, Xiao Niu, Xiaoqian Chen, Leian Yang, Ziyuan Peng, Dantao |
author_facet | Wang, Yuye Lv, Shuang Zhou, Xiao Niu, Xiaoqian Chen, Leian Yang, Ziyuan Peng, Dantao |
author_sort | Wang, Yuye |
collection | PubMed |
description | Vascular dementia (VaD) is the second most common cause of dementia. At present, precise molecular processes of VaD are unclear. We attempted to discover the VaD relevant candidate genes, enrichment biological processes and pathways, key targets, and the underlying mechanism by microarray bioinformatic analysis. We selected GSE122063 related to the autopsy samples of VaD for analysis. We first took use of Weighted Gene Co-expression Network Analysis (WGCNA) to achieve modules related to VaD and hub genes. Second, we filtered out significant differentially expressed genes (DEGs). Third, significant DEGs then went through Geno Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Fourth, Gene Set Enrichment Analysis (GSEA) was performed. At last, we constructed the protein–protein interaction (PPI) network. The results showed that the yellow module had the strongest correlation with VaD, and we finally identified 21 hub genes. Toll-like receptor 2 (TLR2) was the top hub gene and was strongly correlated with other possible candidate genes. In total, 456 significant DEGs were filtered out and these genes were found to be enriched in the Toll receptor signaling pathway and several other immune-related pathways. In addition, Gene Set Enrichment Analysis results showed that similar pathways were significantly over-represented in TLR2-high samples. In the PPI network, TLR2 was still an important node with high weight and combined scores. We concluded that the TLR2 acts as a key target in neuroinflammation which may participate in the pathophysiological process of VaD. |
format | Online Article Text |
id | pubmed-9296774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92967742022-07-21 Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia Wang, Yuye Lv, Shuang Zhou, Xiao Niu, Xiaoqian Chen, Leian Yang, Ziyuan Peng, Dantao Front Genet Genetics Vascular dementia (VaD) is the second most common cause of dementia. At present, precise molecular processes of VaD are unclear. We attempted to discover the VaD relevant candidate genes, enrichment biological processes and pathways, key targets, and the underlying mechanism by microarray bioinformatic analysis. We selected GSE122063 related to the autopsy samples of VaD for analysis. We first took use of Weighted Gene Co-expression Network Analysis (WGCNA) to achieve modules related to VaD and hub genes. Second, we filtered out significant differentially expressed genes (DEGs). Third, significant DEGs then went through Geno Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Fourth, Gene Set Enrichment Analysis (GSEA) was performed. At last, we constructed the protein–protein interaction (PPI) network. The results showed that the yellow module had the strongest correlation with VaD, and we finally identified 21 hub genes. Toll-like receptor 2 (TLR2) was the top hub gene and was strongly correlated with other possible candidate genes. In total, 456 significant DEGs were filtered out and these genes were found to be enriched in the Toll receptor signaling pathway and several other immune-related pathways. In addition, Gene Set Enrichment Analysis results showed that similar pathways were significantly over-represented in TLR2-high samples. In the PPI network, TLR2 was still an important node with high weight and combined scores. We concluded that the TLR2 acts as a key target in neuroinflammation which may participate in the pathophysiological process of VaD. Frontiers Media S.A. 2022-07-06 /pmc/articles/PMC9296774/ /pubmed/35873459 http://dx.doi.org/10.3389/fgene.2022.860122 Text en Copyright © 2022 Wang, Lv, Zhou, Niu, Chen, Yang and Peng. 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 | Genetics Wang, Yuye Lv, Shuang Zhou, Xiao Niu, Xiaoqian Chen, Leian Yang, Ziyuan Peng, Dantao Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title | Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title_full | Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title_fullStr | Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title_full_unstemmed | Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title_short | Identification of TLR2 as a Key Target in Neuroinflammation in Vascular Dementia |
title_sort | identification of tlr2 as a key target in neuroinflammation in vascular dementia |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296774/ https://www.ncbi.nlm.nih.gov/pubmed/35873459 http://dx.doi.org/10.3389/fgene.2022.860122 |
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