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Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease
Various studies showed that the effect of immune activation is pro-atherogenic and coronary heart disease (CHD) should therefore be considered an autoimmune disease. This study aimed to identify potential immune-related biomarkers, pathways, and the potential regulatory networks underlying CHD. Diff...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585797/ https://www.ncbi.nlm.nih.gov/pubmed/36266609 http://dx.doi.org/10.1186/s12920-022-01375-w |
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author | Zhang, Lianbo Li, Guibin Liang, Bo Su, Xiaoli Xie, Haolin Sun, Hongxia Wu, Ge |
author_facet | Zhang, Lianbo Li, Guibin Liang, Bo Su, Xiaoli Xie, Haolin Sun, Hongxia Wu, Ge |
author_sort | Zhang, Lianbo |
collection | PubMed |
description | Various studies showed that the effect of immune activation is pro-atherogenic and coronary heart disease (CHD) should therefore be considered an autoimmune disease. This study aimed to identify potential immune-related biomarkers, pathways, and the potential regulatory networks underlying CHD. Differentially expressed genes (DEGs) between CHD and control samples were determined by analyzing GSE71226 and GSE9128. The overlapping differential expression immune-related genes (DE-IRGs) for CHD were identified by analyzing the ImmPort database and two GEO databases. A total of 384 DE-IRGs were identified. Subsequently, comprehensive enrichment analyses suggested that DE-IRGs were enriched in immune-related pathways, including autoimmune thyroid disease, the intestinal immune network for IGA production, and downstream signaling events of B cell receptors. The signature of DE-IRGs was validated using an external independent dataset GSE20681 (AUC = 0.875). Furthermore, we conducted protein–protein interaction network analysis and identified eight hub genes, which were most enriched in regulation of defense response, NF-κB signaling pathway, regulation of JNK cascade, and regulation of cytokine production. Moreover, networks of miRNAs-mRNAs and transcription factors (TFs)-mRNA underlying the integrated data were established, involving eight miRNAs and 76 TF-targeting hub genes. Ultimately, 17 SNPs in miRNA-mediated gene networks were identified. We screened potential immune-related genes in CHD and constructed miRNA-mRNA-TF and SNP-miRNA networks, which not only provide inspired insights into the occurrence and the molecular mechanisms of CHD but also lay a foundation for targeting potential biomarkers using immunotherapy and for understanding the molecular mechanisms of CHD. |
format | Online Article Text |
id | pubmed-9585797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95857972022-10-22 Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease Zhang, Lianbo Li, Guibin Liang, Bo Su, Xiaoli Xie, Haolin Sun, Hongxia Wu, Ge BMC Med Genomics Research Various studies showed that the effect of immune activation is pro-atherogenic and coronary heart disease (CHD) should therefore be considered an autoimmune disease. This study aimed to identify potential immune-related biomarkers, pathways, and the potential regulatory networks underlying CHD. Differentially expressed genes (DEGs) between CHD and control samples were determined by analyzing GSE71226 and GSE9128. The overlapping differential expression immune-related genes (DE-IRGs) for CHD were identified by analyzing the ImmPort database and two GEO databases. A total of 384 DE-IRGs were identified. Subsequently, comprehensive enrichment analyses suggested that DE-IRGs were enriched in immune-related pathways, including autoimmune thyroid disease, the intestinal immune network for IGA production, and downstream signaling events of B cell receptors. The signature of DE-IRGs was validated using an external independent dataset GSE20681 (AUC = 0.875). Furthermore, we conducted protein–protein interaction network analysis and identified eight hub genes, which were most enriched in regulation of defense response, NF-κB signaling pathway, regulation of JNK cascade, and regulation of cytokine production. Moreover, networks of miRNAs-mRNAs and transcription factors (TFs)-mRNA underlying the integrated data were established, involving eight miRNAs and 76 TF-targeting hub genes. Ultimately, 17 SNPs in miRNA-mediated gene networks were identified. We screened potential immune-related genes in CHD and constructed miRNA-mRNA-TF and SNP-miRNA networks, which not only provide inspired insights into the occurrence and the molecular mechanisms of CHD but also lay a foundation for targeting potential biomarkers using immunotherapy and for understanding the molecular mechanisms of CHD. BioMed Central 2022-10-20 /pmc/articles/PMC9585797/ /pubmed/36266609 http://dx.doi.org/10.1186/s12920-022-01375-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Lianbo Li, Guibin Liang, Bo Su, Xiaoli Xie, Haolin Sun, Hongxia Wu, Ge Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title | Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title_full | Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title_fullStr | Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title_full_unstemmed | Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title_short | Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
title_sort | integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585797/ https://www.ncbi.nlm.nih.gov/pubmed/36266609 http://dx.doi.org/10.1186/s12920-022-01375-w |
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