Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation

Septic cardiomyopathy (SCM) is severe organ dysfunction caused by sepsis that is associated with poor prognosis, and its pathobiological mechanisms remain unclear. Autophagy is a biological process that has recently been focused on SCM, yet the current understanding of the role of dysregulated autop...

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Main Authors: Hua-Xi Zou, Bai-Quan Qiu, Ze-Yu Zhang, Tie Hu, Li Wan, Ji-Chun Liu, Huang Huang, Song-Qing Lai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.923066/full
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author Hua-Xi Zou
Hua-Xi Zou
Hua-Xi Zou
Bai-Quan Qiu
Bai-Quan Qiu
Ze-Yu Zhang
Tie Hu
Tie Hu
Li Wan
Li Wan
Ji-Chun Liu
Ji-Chun Liu
Ji-Chun Liu
Huang Huang
Huang Huang
Song-Qing Lai
Song-Qing Lai
author_facet Hua-Xi Zou
Hua-Xi Zou
Hua-Xi Zou
Bai-Quan Qiu
Bai-Quan Qiu
Ze-Yu Zhang
Tie Hu
Tie Hu
Li Wan
Li Wan
Ji-Chun Liu
Ji-Chun Liu
Ji-Chun Liu
Huang Huang
Huang Huang
Song-Qing Lai
Song-Qing Lai
author_sort Hua-Xi Zou
collection DOAJ
description Septic cardiomyopathy (SCM) is severe organ dysfunction caused by sepsis that is associated with poor prognosis, and its pathobiological mechanisms remain unclear. Autophagy is a biological process that has recently been focused on SCM, yet the current understanding of the role of dysregulated autophagy in the pathogenesis of SCM remains limited and uncertain. Exploring the molecular mechanisms of disease based on the transcriptomes of human pathological samples may bring the closest insights. In this study, we analyzed the differential expression of autophagy-related genes in SCM based on the transcriptomes of human septic hearts, and further explored their potential crosstalk and functional pathways. Key functional module and hub genes were identified by constructing a protein–protein interaction network. Eight key genes (CCL2, MYC, TP53, SOD2, HIF1A, CTNNB1, CAT, and ADIPOQ) that regulate autophagy in SCM were identified after validation in a lipopolysaccharide (LPS)-induced H9c2 cardiomyoblast injury model, as well as the autophagic characteristic features. Furthermore, we found that key genes were associated with abnormal immune infiltration in septic hearts and have the potential to serve as biomarkers. Finally, we predicted drugs that may play a protective role in SCM by regulating autophagy based on our results. Our study provides evidence and new insights into the role of autophagy in SCM based on human septic heart transcriptomes, which would be of great benefit to reveal the molecular pathological mechanisms and explore the diagnostic and therapeutic targets for SCM.
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spelling doaj.art-25d7acc67de14f0882a88a8b873f97222022-12-22T00:53:51ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-08-01910.3389/fcvm.2022.923066923066Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validationHua-Xi Zou0Hua-Xi Zou1Hua-Xi Zou2Bai-Quan Qiu3Bai-Quan Qiu4Ze-Yu Zhang5Tie Hu6Tie Hu7Li Wan8Li Wan9Ji-Chun Liu10Ji-Chun Liu11Ji-Chun Liu12Huang Huang13Huang Huang14Song-Qing Lai15Song-Qing Lai16Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Nanchang University Trauma Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaInstitute of Cardiovascular Diseases, Jiangxi Academy of Clinical Medical Sciences, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaSeptic cardiomyopathy (SCM) is severe organ dysfunction caused by sepsis that is associated with poor prognosis, and its pathobiological mechanisms remain unclear. Autophagy is a biological process that has recently been focused on SCM, yet the current understanding of the role of dysregulated autophagy in the pathogenesis of SCM remains limited and uncertain. Exploring the molecular mechanisms of disease based on the transcriptomes of human pathological samples may bring the closest insights. In this study, we analyzed the differential expression of autophagy-related genes in SCM based on the transcriptomes of human septic hearts, and further explored their potential crosstalk and functional pathways. Key functional module and hub genes were identified by constructing a protein–protein interaction network. Eight key genes (CCL2, MYC, TP53, SOD2, HIF1A, CTNNB1, CAT, and ADIPOQ) that regulate autophagy in SCM were identified after validation in a lipopolysaccharide (LPS)-induced H9c2 cardiomyoblast injury model, as well as the autophagic characteristic features. Furthermore, we found that key genes were associated with abnormal immune infiltration in septic hearts and have the potential to serve as biomarkers. Finally, we predicted drugs that may play a protective role in SCM by regulating autophagy based on our results. Our study provides evidence and new insights into the role of autophagy in SCM based on human septic heart transcriptomes, which would be of great benefit to reveal the molecular pathological mechanisms and explore the diagnostic and therapeutic targets for SCM.https://www.frontiersin.org/articles/10.3389/fcvm.2022.923066/fullsepsis cardiomyopathyautophagytranscriptomekey genesdatabase
spellingShingle Hua-Xi Zou
Hua-Xi Zou
Hua-Xi Zou
Bai-Quan Qiu
Bai-Quan Qiu
Ze-Yu Zhang
Tie Hu
Tie Hu
Li Wan
Li Wan
Ji-Chun Liu
Ji-Chun Liu
Ji-Chun Liu
Huang Huang
Huang Huang
Song-Qing Lai
Song-Qing Lai
Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
Frontiers in Cardiovascular Medicine
sepsis cardiomyopathy
autophagy
transcriptome
key genes
database
title Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
title_full Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
title_fullStr Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
title_full_unstemmed Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
title_short Dysregulated autophagy-related genes in septic cardiomyopathy: Comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
title_sort dysregulated autophagy related genes in septic cardiomyopathy comprehensive bioinformatics analysis based on the human transcriptomes and experimental validation
topic sepsis cardiomyopathy
autophagy
transcriptome
key genes
database
url https://www.frontiersin.org/articles/10.3389/fcvm.2022.923066/full
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