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Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach
AIMS: The co‐morbidities contribute to the inferior prognosis of COVID‐19 patients. Recent reports suggested that the higher co‐morbidity rate between COVID‐19 and heart failure (HF) leads to increased mortality. However, the common pathogenic mechanism between them remained elusive. Here, we aimed...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349450/ https://www.ncbi.nlm.nih.gov/pubmed/35727093 http://dx.doi.org/10.1002/ehf2.14003 |
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author | Zhang, Ge Cui, Xiaolin Zhang, Li Liu, Gangqiong Zhu, Xiaodan Shangguan, Jiahong Zhang, Wenjing Zheng, Yingying Zhang, Hui Tang, Junnan Zhang, Jinying |
author_facet | Zhang, Ge Cui, Xiaolin Zhang, Li Liu, Gangqiong Zhu, Xiaodan Shangguan, Jiahong Zhang, Wenjing Zheng, Yingying Zhang, Hui Tang, Junnan Zhang, Jinying |
author_sort | Zhang, Ge |
collection | PubMed |
description | AIMS: The co‐morbidities contribute to the inferior prognosis of COVID‐19 patients. Recent reports suggested that the higher co‐morbidity rate between COVID‐19 and heart failure (HF) leads to increased mortality. However, the common pathogenic mechanism between them remained elusive. Here, we aimed to reveal underlying molecule mechanisms and genetic correlation between COVID‐19 and HF, providing a new perspective on current clinical management for patients with co‐morbidity. METHODS: The gene expression profiles of HF (GSE26887) and COVID‐19 (GSE147507) were retrieved from the GEO database. After identifying the common differentially expressed genes (|log2FC| > 1 and adjusted P < 0.05), integrated analyses were performed, namely, enrichment analyses, protein–protein interaction network, module construction, critical gene identification, and functional co‐expression analysis. The performance of critical genes was validation combining hierarchical clustering, correlation, and principal component analysis in external datasets (GSE164805 and GSE9128). Potential transcription factors and miRNAs were obtained from the JASPER and RegNetwork repository used to construct co‐regulatory networks. The candidate drug compounds in potential genetic link targets were further identified using the DSigDB database. RESULTS: The alteration of 12 genes was identified as a shared transcriptional signature, with the role of immune inflammatory pathway, especially Toll‐like receptor, NF‐kappa B, chemokine, and interleukin‐related pathways that primarily emphasized in response to SARS‐CoV‐2 complicated with HF. Top 10 critical genes (TLR4, TLR2, CXCL8, IL10, STAT3, IL1B, TLR1, TP53, CCL20, and CXCL10) were identified from protein–protein interaction with topological algorithms. The unhealthy microbiota status and gut–heart axis in co‐morbidity were identified as potential disease roads in bridging pathogenic mechanism, and lipopolysaccharide acts as a potential marker for monitoring HF during COVID‐19. For transcriptional and post‐transcriptional levels, regulation networks tightly coupling with both disorders were constructed, and significant regulator signatures with high interaction degree, especially FOXC1, STAT3, NF‐κB1, miR‐181, and miR‐520, were detected to regulate common differentially expressed genes. According to genetic links targets, glutathione‐based antioxidant strategy combined with muramyl dipeptide‐based microbe‐derived immunostimulatory therapies was identified as promising anti‐COVID‐19 and anti‐HF therapeutics. CONCLUSIONS: This study identified shared transcriptomic and corresponding regulatory signatures as emerging therapeutic targets and detected a set of pharmacologic agents targeting genetic links. Our findings provided new insights for underlying pathogenic mechanisms between COVID‐19 and HF. |
format | Online Article Text |
id | pubmed-9349450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93494502022-08-04 Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach Zhang, Ge Cui, Xiaolin Zhang, Li Liu, Gangqiong Zhu, Xiaodan Shangguan, Jiahong Zhang, Wenjing Zheng, Yingying Zhang, Hui Tang, Junnan Zhang, Jinying ESC Heart Fail Original Articles AIMS: The co‐morbidities contribute to the inferior prognosis of COVID‐19 patients. Recent reports suggested that the higher co‐morbidity rate between COVID‐19 and heart failure (HF) leads to increased mortality. However, the common pathogenic mechanism between them remained elusive. Here, we aimed to reveal underlying molecule mechanisms and genetic correlation between COVID‐19 and HF, providing a new perspective on current clinical management for patients with co‐morbidity. METHODS: The gene expression profiles of HF (GSE26887) and COVID‐19 (GSE147507) were retrieved from the GEO database. After identifying the common differentially expressed genes (|log2FC| > 1 and adjusted P < 0.05), integrated analyses were performed, namely, enrichment analyses, protein–protein interaction network, module construction, critical gene identification, and functional co‐expression analysis. The performance of critical genes was validation combining hierarchical clustering, correlation, and principal component analysis in external datasets (GSE164805 and GSE9128). Potential transcription factors and miRNAs were obtained from the JASPER and RegNetwork repository used to construct co‐regulatory networks. The candidate drug compounds in potential genetic link targets were further identified using the DSigDB database. RESULTS: The alteration of 12 genes was identified as a shared transcriptional signature, with the role of immune inflammatory pathway, especially Toll‐like receptor, NF‐kappa B, chemokine, and interleukin‐related pathways that primarily emphasized in response to SARS‐CoV‐2 complicated with HF. Top 10 critical genes (TLR4, TLR2, CXCL8, IL10, STAT3, IL1B, TLR1, TP53, CCL20, and CXCL10) were identified from protein–protein interaction with topological algorithms. The unhealthy microbiota status and gut–heart axis in co‐morbidity were identified as potential disease roads in bridging pathogenic mechanism, and lipopolysaccharide acts as a potential marker for monitoring HF during COVID‐19. For transcriptional and post‐transcriptional levels, regulation networks tightly coupling with both disorders were constructed, and significant regulator signatures with high interaction degree, especially FOXC1, STAT3, NF‐κB1, miR‐181, and miR‐520, were detected to regulate common differentially expressed genes. According to genetic links targets, glutathione‐based antioxidant strategy combined with muramyl dipeptide‐based microbe‐derived immunostimulatory therapies was identified as promising anti‐COVID‐19 and anti‐HF therapeutics. CONCLUSIONS: This study identified shared transcriptomic and corresponding regulatory signatures as emerging therapeutic targets and detected a set of pharmacologic agents targeting genetic links. Our findings provided new insights for underlying pathogenic mechanisms between COVID‐19 and HF. John Wiley and Sons Inc. 2022-06-21 /pmc/articles/PMC9349450/ /pubmed/35727093 http://dx.doi.org/10.1002/ehf2.14003 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Zhang, Ge Cui, Xiaolin Zhang, Li Liu, Gangqiong Zhu, Xiaodan Shangguan, Jiahong Zhang, Wenjing Zheng, Yingying Zhang, Hui Tang, Junnan Zhang, Jinying Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title | Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title_full | Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title_fullStr | Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title_full_unstemmed | Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title_short | Uncovering the genetic links of SARS‐CoV‐2 infections on heart failure co‐morbidity by a systems biology approach |
title_sort | uncovering the genetic links of sars‐cov‐2 infections on heart failure co‐morbidity by a systems biology approach |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349450/ https://www.ncbi.nlm.nih.gov/pubmed/35727093 http://dx.doi.org/10.1002/ehf2.14003 |
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