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Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy

BACKGROUND: Septic cardiomyopathy (SC) is characterized by myocardial dysfunction caused by sepsis and constitutes one of the serious complications of sepsis. Pyroptosis is a unique proinflammatory programmed cell death process. However, the role of pyroptosis in the development of SC remains unclea...

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Autores principales: Zhu, Haoyan, Wu, Jiahe, Li, Chenze, Zeng, Ziyue, He, Tianwen, Liu, Xin, Wang, Qiongxin, Hu, Xiaorong, Lu, Zhibing, Cai, Huanhuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590578/
https://www.ncbi.nlm.nih.gov/pubmed/37872948
http://dx.doi.org/10.7717/peerj.16214
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author Zhu, Haoyan
Wu, Jiahe
Li, Chenze
Zeng, Ziyue
He, Tianwen
Liu, Xin
Wang, Qiongxin
Hu, Xiaorong
Lu, Zhibing
Cai, Huanhuan
author_facet Zhu, Haoyan
Wu, Jiahe
Li, Chenze
Zeng, Ziyue
He, Tianwen
Liu, Xin
Wang, Qiongxin
Hu, Xiaorong
Lu, Zhibing
Cai, Huanhuan
author_sort Zhu, Haoyan
collection PubMed
description BACKGROUND: Septic cardiomyopathy (SC) is characterized by myocardial dysfunction caused by sepsis and constitutes one of the serious complications of sepsis. Pyroptosis is a unique proinflammatory programmed cell death process. However, the role of pyroptosis in the development of SC remains unclear, and further study is required. The purpose of this study is to identify pyroptosis-related genes (PRGs) in SC and explore the mechanism of pyroptosis involved in the regulation of SC formation and progression. METHODS: Differential expression analysis and enrichment analysis were performed on the SC-related dataset GSE79962 to identify differentially expressed genes (DEGs). PRGs were screened by intersecting genes associated with pyroptosis in previous studies with the DEGs obtained from GSE79962. The expression pattern of them was studied based on their raw expression data. Additionally, corresponding online databases were used to predict miRNAs, transcription factors (TFs) and therapeutic agents of PRGs. Lipopolysaccharide (LPS)-induced cell damage models in H9C2 and AC16 cell lines were constructed, cell activity was detected by CCK-8 and cell pyroptosis were detected by Hoechst33342/PI staining. Furthermore, these PRGs were verified in the external datasets (GSE53007 and GSE142615) and LPS-induced cell damage model. Finally, the effect of siRNA-mediated PRGs knockdown on the pyroptosis phenotype was examined. RESULTS: A total of 1,206 DEGs were screened, consisting of 663 high-expressed genes and 543 low-expressed genes. Among them, ten PRGs (SOD2, GJA1, TIMP3, TAP1, TIMP1, NOD1, TP53, CPTP, CASP1 and SAT1) were identified, and they were mainly enriched in “Pyroptosis”, “Ferroptosis”, “Longevity regulating pathway”, and “NOD-like receptor signaling pathway”. A total of 147 miRNAs, 31 TFs and 13 therapeutic drugs were predicted targeting the PRGs. The expression trends of SOD2 were confirmed in both the external datasets and LPS-induced cell damage models. Knockdown of SOD2 induced increased pyroptosis in the AC16 LPS-induced cell damage model. CONCLUSIONS: In this study, we demonstrated that SOD2 is highly expressed in both the SC and LPS-induced cell damage models. Knockdown of SOD2 led to a significant increase in pyroptosis in the AC16 LPS-induced cell damage model. These findings suggest that SOD2 may serve as a potential target for the diagnosis and treatment of SC.
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spelling pubmed-105905782023-10-23 Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy Zhu, Haoyan Wu, Jiahe Li, Chenze Zeng, Ziyue He, Tianwen Liu, Xin Wang, Qiongxin Hu, Xiaorong Lu, Zhibing Cai, Huanhuan PeerJ Bioinformatics BACKGROUND: Septic cardiomyopathy (SC) is characterized by myocardial dysfunction caused by sepsis and constitutes one of the serious complications of sepsis. Pyroptosis is a unique proinflammatory programmed cell death process. However, the role of pyroptosis in the development of SC remains unclear, and further study is required. The purpose of this study is to identify pyroptosis-related genes (PRGs) in SC and explore the mechanism of pyroptosis involved in the regulation of SC formation and progression. METHODS: Differential expression analysis and enrichment analysis were performed on the SC-related dataset GSE79962 to identify differentially expressed genes (DEGs). PRGs were screened by intersecting genes associated with pyroptosis in previous studies with the DEGs obtained from GSE79962. The expression pattern of them was studied based on their raw expression data. Additionally, corresponding online databases were used to predict miRNAs, transcription factors (TFs) and therapeutic agents of PRGs. Lipopolysaccharide (LPS)-induced cell damage models in H9C2 and AC16 cell lines were constructed, cell activity was detected by CCK-8 and cell pyroptosis were detected by Hoechst33342/PI staining. Furthermore, these PRGs were verified in the external datasets (GSE53007 and GSE142615) and LPS-induced cell damage model. Finally, the effect of siRNA-mediated PRGs knockdown on the pyroptosis phenotype was examined. RESULTS: A total of 1,206 DEGs were screened, consisting of 663 high-expressed genes and 543 low-expressed genes. Among them, ten PRGs (SOD2, GJA1, TIMP3, TAP1, TIMP1, NOD1, TP53, CPTP, CASP1 and SAT1) were identified, and they were mainly enriched in “Pyroptosis”, “Ferroptosis”, “Longevity regulating pathway”, and “NOD-like receptor signaling pathway”. A total of 147 miRNAs, 31 TFs and 13 therapeutic drugs were predicted targeting the PRGs. The expression trends of SOD2 were confirmed in both the external datasets and LPS-induced cell damage models. Knockdown of SOD2 induced increased pyroptosis in the AC16 LPS-induced cell damage model. CONCLUSIONS: In this study, we demonstrated that SOD2 is highly expressed in both the SC and LPS-induced cell damage models. Knockdown of SOD2 led to a significant increase in pyroptosis in the AC16 LPS-induced cell damage model. These findings suggest that SOD2 may serve as a potential target for the diagnosis and treatment of SC. PeerJ Inc. 2023-10-19 /pmc/articles/PMC10590578/ /pubmed/37872948 http://dx.doi.org/10.7717/peerj.16214 Text en ©2023 Zhu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhu, Haoyan
Wu, Jiahe
Li, Chenze
Zeng, Ziyue
He, Tianwen
Liu, Xin
Wang, Qiongxin
Hu, Xiaorong
Lu, Zhibing
Cai, Huanhuan
Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title_full Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title_fullStr Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title_full_unstemmed Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title_short Transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
title_sort transcriptome analysis reveals the mechanism of pyroptosis-related genes in septic cardiomyopathy
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590578/
https://www.ncbi.nlm.nih.gov/pubmed/37872948
http://dx.doi.org/10.7717/peerj.16214
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