Cargando…
Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis
Septic cardiomyopathy (SCM) is a cardiac dysfunction caused by severe sepsis and septic shock that increases the risk of heart failure and death and its molecular mechanism remains unclear. Ferroptosis, a novel form of programmed cell death, has been reported to be present in the heart tissue of pat...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043284/ https://www.ncbi.nlm.nih.gov/pubmed/35495160 http://dx.doi.org/10.3389/fgene.2022.827559 |
_version_ | 1784694842202259456 |
---|---|
author | Gong, Cheng-Wu Yuan, Ming-Ming Qiu, Bai-Quan Wang, Li-Jun Zou, Hua-Xi Hu, Tie Lai, Song-Qing Liu, Ji-Chun |
author_facet | Gong, Cheng-Wu Yuan, Ming-Ming Qiu, Bai-Quan Wang, Li-Jun Zou, Hua-Xi Hu, Tie Lai, Song-Qing Liu, Ji-Chun |
author_sort | Gong, Cheng-Wu |
collection | PubMed |
description | Septic cardiomyopathy (SCM) is a cardiac dysfunction caused by severe sepsis and septic shock that increases the risk of heart failure and death and its molecular mechanism remains unclear. Ferroptosis, a novel form of programmed cell death, has been reported to be present in the heart tissue of patients with sepsis, which demonstrated that ferroptosis may be a potential mechanism of myocardial injury in SCM. Therefore, we explored the role of ferroptosis-related genes (FRGs) in SCM and aimed to identify pivotal ferroptosis-related targets in SCM and potential therapeutic targets involved in the pathological process of SCM. To explore the regulatory mechanisms of ferroptosis in SCM, we identified differentially expressed genes (DEGs) in SCM and FRGs by bioinformatics analysis, and further identified hub genes. And the crucial microRNAs (miRNAs)-FRGs regulatory network was subsequently constructed. Finally, several candidate drugs associated with the hub genes were predicted, and Real-time quantitative reverse Transcription PCR (qRT-PCR) and western blotting analysis were performed to confirm the abnormal expression of hub genes. In this study, we identified several FRGs that may be involved in the pathogenesis of SCM, which helps us further clarify the role of ferroptosis in SCM and deeply understand the molecular mechanisms and potential therapeutic targets of SCM. |
format | Online Article Text |
id | pubmed-9043284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90432842022-04-28 Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis Gong, Cheng-Wu Yuan, Ming-Ming Qiu, Bai-Quan Wang, Li-Jun Zou, Hua-Xi Hu, Tie Lai, Song-Qing Liu, Ji-Chun Front Genet Genetics Septic cardiomyopathy (SCM) is a cardiac dysfunction caused by severe sepsis and septic shock that increases the risk of heart failure and death and its molecular mechanism remains unclear. Ferroptosis, a novel form of programmed cell death, has been reported to be present in the heart tissue of patients with sepsis, which demonstrated that ferroptosis may be a potential mechanism of myocardial injury in SCM. Therefore, we explored the role of ferroptosis-related genes (FRGs) in SCM and aimed to identify pivotal ferroptosis-related targets in SCM and potential therapeutic targets involved in the pathological process of SCM. To explore the regulatory mechanisms of ferroptosis in SCM, we identified differentially expressed genes (DEGs) in SCM and FRGs by bioinformatics analysis, and further identified hub genes. And the crucial microRNAs (miRNAs)-FRGs regulatory network was subsequently constructed. Finally, several candidate drugs associated with the hub genes were predicted, and Real-time quantitative reverse Transcription PCR (qRT-PCR) and western blotting analysis were performed to confirm the abnormal expression of hub genes. In this study, we identified several FRGs that may be involved in the pathogenesis of SCM, which helps us further clarify the role of ferroptosis in SCM and deeply understand the molecular mechanisms and potential therapeutic targets of SCM. Frontiers Media S.A. 2022-04-13 /pmc/articles/PMC9043284/ /pubmed/35495160 http://dx.doi.org/10.3389/fgene.2022.827559 Text en Copyright © 2022 Gong, Yuan, Qiu, Wang, Zou, Hu, Lai 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 | Genetics Gong, Cheng-Wu Yuan, Ming-Ming Qiu, Bai-Quan Wang, Li-Jun Zou, Hua-Xi Hu, Tie Lai, Song-Qing Liu, Ji-Chun Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title | Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title_full | Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title_fullStr | Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title_full_unstemmed | Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title_short | Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis |
title_sort | identification and validation of ferroptosis-related biomarkers in septic cardiomyopathy via bioinformatics analysis |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043284/ https://www.ncbi.nlm.nih.gov/pubmed/35495160 http://dx.doi.org/10.3389/fgene.2022.827559 |
work_keys_str_mv | AT gongchengwu identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT yuanmingming identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT qiubaiquan identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT wanglijun identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT zouhuaxi identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT hutie identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT laisongqing identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis AT liujichun identificationandvalidationofferroptosisrelatedbiomarkersinsepticcardiomyopathyviabioinformaticsanalysis |