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Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis

ABSTRACT: Septic cardiomyopathy (SCM) is a serious complication caused by sepsis that will further exacerbate the patient's prognosis. However, immune-related genes (IRGs) and their molecular mechanism during septic cardiomyopathy are largely unknown. Therefore, our study aims to explore the im...

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Autores principales: Li, Jingru, Sun, Guihu, Ma, Haocheng, Wu, Xinyu, Li, Chaozhong, Ding, Peng, Lu, Si, Li, Yanyan, Yang, Ping, Li, Chaguo, Yang, Jun, Peng, Yunzhu, Meng, Zhaohui, Wang, Luqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530044/
https://www.ncbi.nlm.nih.gov/pubmed/36204577
http://dx.doi.org/10.3389/fcvm.2022.971543
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author Li, Jingru
Sun, Guihu
Ma, Haocheng
Wu, Xinyu
Li, Chaozhong
Ding, Peng
Lu, Si
Li, Yanyan
Yang, Ping
Li, Chaguo
Yang, Jun
Peng, Yunzhu
Meng, Zhaohui
Wang, Luqiao
author_facet Li, Jingru
Sun, Guihu
Ma, Haocheng
Wu, Xinyu
Li, Chaozhong
Ding, Peng
Lu, Si
Li, Yanyan
Yang, Ping
Li, Chaguo
Yang, Jun
Peng, Yunzhu
Meng, Zhaohui
Wang, Luqiao
author_sort Li, Jingru
collection PubMed
description ABSTRACT: Septic cardiomyopathy (SCM) is a serious complication caused by sepsis that will further exacerbate the patient's prognosis. However, immune-related genes (IRGs) and their molecular mechanism during septic cardiomyopathy are largely unknown. Therefore, our study aims to explore the immune-related hub genes (IRHGs) and immune-related miRNA-mRNA pairs with potential biological regulation in SCM by means of bioinformatics analysis and experimental validation. METHOD: Firstly, screen differentially expressed mRNAs (DE-mRNAs) from the dataset GSE79962, and construct a PPI network of DE-mRNAs. Secondly, the hub genes of SCM were identified from the PPI network and the hub genes were overlapped with immune cell marker genes (ICMGs) to further obtain IRHGs in SCM. In addition, receiver operating characteristic (ROC) curve analysis was also performed in this process to determine the disease diagnostic capability of IRHGs. Finally, the crucial miRNA-IRHG regulatory network of IRHGs was predicted and constructed by bioinformatic methods. Real-time quantitative reverse transcription-PCR (qRT-PCR) and dataset GSE72380 were used to validate the expression of the key miRNA-IRHG axis. RESULT: The results of immune infiltration showed that neutrophils, Th17 cells, Tfh cells, and central memory cells in SCM had more infiltration than the control group; A total of 2 IRHGs were obtained by crossing the hub gene with the ICMGs, and the IRHGs were validated by dataset and qRT-PCR. Ultimately, we obtained the IRHG in SCM: THBS1. The ROC curve results of THBS1 showed that the area under the curve (AUC) was 0.909. Finally, the miR-222-3p/THBS1 axis regulatory network was constructed. CONCLUSION: In summary, we propose that THBS1 may be a key IRHG, and can serve as a biomarker for the diagnosis of SCM; in addition, the immune-related regulatory network miR-222-3p/THBS1 may be involved in the regulation of the pathogenesis of SCM and may serve as a promising candidate for SCM therapy.
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spelling pubmed-95300442022-10-05 Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis Li, Jingru Sun, Guihu Ma, Haocheng Wu, Xinyu Li, Chaozhong Ding, Peng Lu, Si Li, Yanyan Yang, Ping Li, Chaguo Yang, Jun Peng, Yunzhu Meng, Zhaohui Wang, Luqiao Front Cardiovasc Med Cardiovascular Medicine ABSTRACT: Septic cardiomyopathy (SCM) is a serious complication caused by sepsis that will further exacerbate the patient's prognosis. However, immune-related genes (IRGs) and their molecular mechanism during septic cardiomyopathy are largely unknown. Therefore, our study aims to explore the immune-related hub genes (IRHGs) and immune-related miRNA-mRNA pairs with potential biological regulation in SCM by means of bioinformatics analysis and experimental validation. METHOD: Firstly, screen differentially expressed mRNAs (DE-mRNAs) from the dataset GSE79962, and construct a PPI network of DE-mRNAs. Secondly, the hub genes of SCM were identified from the PPI network and the hub genes were overlapped with immune cell marker genes (ICMGs) to further obtain IRHGs in SCM. In addition, receiver operating characteristic (ROC) curve analysis was also performed in this process to determine the disease diagnostic capability of IRHGs. Finally, the crucial miRNA-IRHG regulatory network of IRHGs was predicted and constructed by bioinformatic methods. Real-time quantitative reverse transcription-PCR (qRT-PCR) and dataset GSE72380 were used to validate the expression of the key miRNA-IRHG axis. RESULT: The results of immune infiltration showed that neutrophils, Th17 cells, Tfh cells, and central memory cells in SCM had more infiltration than the control group; A total of 2 IRHGs were obtained by crossing the hub gene with the ICMGs, and the IRHGs were validated by dataset and qRT-PCR. Ultimately, we obtained the IRHG in SCM: THBS1. The ROC curve results of THBS1 showed that the area under the curve (AUC) was 0.909. Finally, the miR-222-3p/THBS1 axis regulatory network was constructed. CONCLUSION: In summary, we propose that THBS1 may be a key IRHG, and can serve as a biomarker for the diagnosis of SCM; in addition, the immune-related regulatory network miR-222-3p/THBS1 may be involved in the regulation of the pathogenesis of SCM and may serve as a promising candidate for SCM therapy. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530044/ /pubmed/36204577 http://dx.doi.org/10.3389/fcvm.2022.971543 Text en Copyright © 2022 Li, Sun, Ma, Wu, Li, Ding, Lu, Li, Yang, Li, Yang, Peng, Meng and Wang. 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 Cardiovascular Medicine
Li, Jingru
Sun, Guihu
Ma, Haocheng
Wu, Xinyu
Li, Chaozhong
Ding, Peng
Lu, Si
Li, Yanyan
Yang, Ping
Li, Chaguo
Yang, Jun
Peng, Yunzhu
Meng, Zhaohui
Wang, Luqiao
Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title_full Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title_fullStr Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title_full_unstemmed Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title_short Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
title_sort identification of immune-related hub genes and mirna-mrna pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530044/
https://www.ncbi.nlm.nih.gov/pubmed/36204577
http://dx.doi.org/10.3389/fcvm.2022.971543
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