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Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a contemporary hazard to people. It has been known that COVID-19 can both induce heart failure (HF) and raise the risk of patient mortality. However, the mechanism underlying...

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Autores principales: Yang, Kezhen, Liu, Jipeng, Gong, Yu, Li, Yinyin, Liu, Qingguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678344/
https://www.ncbi.nlm.nih.gov/pubmed/36420258
http://dx.doi.org/10.3389/fimmu.2022.1052850
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author Yang, Kezhen
Liu, Jipeng
Gong, Yu
Li, Yinyin
Liu, Qingguo
author_facet Yang, Kezhen
Liu, Jipeng
Gong, Yu
Li, Yinyin
Liu, Qingguo
author_sort Yang, Kezhen
collection PubMed
description Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a contemporary hazard to people. It has been known that COVID-19 can both induce heart failure (HF) and raise the risk of patient mortality. However, the mechanism underlying the association between COVID-19 and HF remains unclear. The common molecular pathways between COVID-19 and HF were identified using bioinformatic and systems biology techniques. Transcriptome analysis was performed to identify differentially expressed genes (DEGs). To identify gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways, common DEGs were used for enrichment analysis. The results showed that COVID-19 and HF have several common immune mechanisms, including differentiation of T helper (Th) 1, Th 2, Th 17 cells; activation of lymphocytes; and binding of major histocompatibility complex class I and II protein complexes. Furthermore, a protein-protein interaction network was constructed to identify hub genes, and immune cell infiltration analysis was performed. Six hub genes (FCGR3A, CD69, IFNG, CCR7, CCL5, and CCL4) were closely associated with COVID-19 and HF. These targets were associated with immune cells (central memory CD8 T cells, T follicular helper cells, regulatory T cells, myeloid-derived suppressor cells, plasmacytoid dendritic cells, macrophages, eosinophils, and neutrophils). Additionally, transcription factors, microRNAs, drugs, and chemicals that are closely associated with COVID-19 and HF were identified through the interaction network.
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spelling pubmed-96783442022-11-22 Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure Yang, Kezhen Liu, Jipeng Gong, Yu Li, Yinyin Liu, Qingguo Front Immunol Immunology Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a contemporary hazard to people. It has been known that COVID-19 can both induce heart failure (HF) and raise the risk of patient mortality. However, the mechanism underlying the association between COVID-19 and HF remains unclear. The common molecular pathways between COVID-19 and HF were identified using bioinformatic and systems biology techniques. Transcriptome analysis was performed to identify differentially expressed genes (DEGs). To identify gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways, common DEGs were used for enrichment analysis. The results showed that COVID-19 and HF have several common immune mechanisms, including differentiation of T helper (Th) 1, Th 2, Th 17 cells; activation of lymphocytes; and binding of major histocompatibility complex class I and II protein complexes. Furthermore, a protein-protein interaction network was constructed to identify hub genes, and immune cell infiltration analysis was performed. Six hub genes (FCGR3A, CD69, IFNG, CCR7, CCL5, and CCL4) were closely associated with COVID-19 and HF. These targets were associated with immune cells (central memory CD8 T cells, T follicular helper cells, regulatory T cells, myeloid-derived suppressor cells, plasmacytoid dendritic cells, macrophages, eosinophils, and neutrophils). Additionally, transcription factors, microRNAs, drugs, and chemicals that are closely associated with COVID-19 and HF were identified through the interaction network. Frontiers Media S.A. 2022-11-07 /pmc/articles/PMC9678344/ /pubmed/36420258 http://dx.doi.org/10.3389/fimmu.2022.1052850 Text en Copyright © 2022 Yang, Liu, Gong, Li and Liu 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 Immunology
Yang, Kezhen
Liu, Jipeng
Gong, Yu
Li, Yinyin
Liu, Qingguo
Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title_full Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title_fullStr Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title_full_unstemmed Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title_short Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure
title_sort bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by covid-19 on heart failure
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678344/
https://www.ncbi.nlm.nih.gov/pubmed/36420258
http://dx.doi.org/10.3389/fimmu.2022.1052850
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