Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress

BackgroundChronic pressure overload triggers pathological cardiac hypertrophy that eventually leads to heart failure. Effective biomarkers and therapeutic targets for heart failure remain to be defined. The aim of this study is to identify key genes associated with pathological cardiac hypertrophy b...

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Main Authors: Yingying Guo, Xian-feng Cen, Dan Li, Hong-liang Qiu, Ya-jie Chen, Meng Zhang, Si-hui Huang, Hao Xia, Man Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137429/full
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author Yingying Guo
Yingying Guo
Xian-feng Cen
Xian-feng Cen
Dan Li
Dan Li
Hong-liang Qiu
Hong-liang Qiu
Ya-jie Chen
Ya-jie Chen
Meng Zhang
Meng Zhang
Si-hui Huang
Si-hui Huang
Hao Xia
Hao Xia
Man Xu
Man Xu
author_facet Yingying Guo
Yingying Guo
Xian-feng Cen
Xian-feng Cen
Dan Li
Dan Li
Hong-liang Qiu
Hong-liang Qiu
Ya-jie Chen
Ya-jie Chen
Meng Zhang
Meng Zhang
Si-hui Huang
Si-hui Huang
Hao Xia
Hao Xia
Man Xu
Man Xu
author_sort Yingying Guo
collection DOAJ
description BackgroundChronic pressure overload triggers pathological cardiac hypertrophy that eventually leads to heart failure. Effective biomarkers and therapeutic targets for heart failure remain to be defined. The aim of this study is to identify key genes associated with pathological cardiac hypertrophy by combining bioinformatics analyses with molecular biology experiments.MethodsComprehensive bioinformatics tools were used to screen genes related to pressure overload-induced cardiac hypertrophy. We identified differentially expressed genes (DEGs) by overlapping three Gene Expression Omnibus (GEO) datasets (GSE5500, GSE1621, and GSE36074). Correlation analysis and BioGPS online tool were used to detect the genes of interest. A mouse model of cardiac remodeling induced by transverse aortic constriction (TAC) was established to verify the expression of the interest gene during cardiac remodeling by RT-PCR and western blot. By using RNA interference technology, the effect of transcription elongation factor A3 (Tcea3) silencing on PE-induced hypertrophy of neonatal rat ventricular myocytes (NRVMs) was detected. Next, gene set enrichment analysis (GSEA) and the online tool ARCHS4 were used to predict the possible signaling pathways, and the fatty acid oxidation relevant pathways were enriched and then verified in NRVMs. Furthermore, the changes of long-chain fatty acid respiration in NRVMs were detected using the Seahorse XFe24 Analyzer. Finally, MitoSOX staining was used to detect the effect of Tcea3 on mitochondrial oxidative stress, and the contents of NADP(H) and GSH/GSSG were detected by relevant kits.ResultsA total of 95 DEGs were identified and Tcea3 was negatively correlated with Nppa, Nppb and Myh7. The expression level of Tcea3 was downregulated during cardiac remodeling both in vivo and in vitro. Knockdown of Tcea3 aggravated cardiomyocyte hypertrophy induced by PE in NRVMs. GSEA and online tool ARCHS4 predict Tcea3 involved in fatty acid oxidation (FAO). Subsequently, RT-PCR results showed that knockdown of Tcea3 up-regulated Ces1d and Pla2g5 mRNA expression levels. In PE induced cardiomyocyte hypertrophy, Tcea3 silencing results in decreased fatty acid utilization, decreased ATP synthesis and increased mitochondrial oxidative stress.ConclusionOur study identifies Tcea3 as a novel anti-cardiac remodeling target by regulating FAO and governing mitochondrial oxidative stress.
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spelling doaj.art-123ec5a0abfd4e519776d7b152ae74e32023-06-19T08:02:59ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-06-011010.3389/fcvm.2023.11374291137429Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stressYingying Guo0Yingying Guo1Xian-feng Cen2Xian-feng Cen3Dan Li4Dan Li5Hong-liang Qiu6Hong-liang Qiu7Ya-jie Chen8Ya-jie Chen9Meng Zhang10Meng Zhang11Si-hui Huang12Si-hui Huang13Hao Xia14Hao Xia15Man Xu16Man Xu17Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaCardiovascular Research Institute, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, ChinaHubei Key Laboratory of Metabolic and Chronic Diseases, Renmin Hospital of Wuhan University, Wuhan, ChinaBackgroundChronic pressure overload triggers pathological cardiac hypertrophy that eventually leads to heart failure. Effective biomarkers and therapeutic targets for heart failure remain to be defined. The aim of this study is to identify key genes associated with pathological cardiac hypertrophy by combining bioinformatics analyses with molecular biology experiments.MethodsComprehensive bioinformatics tools were used to screen genes related to pressure overload-induced cardiac hypertrophy. We identified differentially expressed genes (DEGs) by overlapping three Gene Expression Omnibus (GEO) datasets (GSE5500, GSE1621, and GSE36074). Correlation analysis and BioGPS online tool were used to detect the genes of interest. A mouse model of cardiac remodeling induced by transverse aortic constriction (TAC) was established to verify the expression of the interest gene during cardiac remodeling by RT-PCR and western blot. By using RNA interference technology, the effect of transcription elongation factor A3 (Tcea3) silencing on PE-induced hypertrophy of neonatal rat ventricular myocytes (NRVMs) was detected. Next, gene set enrichment analysis (GSEA) and the online tool ARCHS4 were used to predict the possible signaling pathways, and the fatty acid oxidation relevant pathways were enriched and then verified in NRVMs. Furthermore, the changes of long-chain fatty acid respiration in NRVMs were detected using the Seahorse XFe24 Analyzer. Finally, MitoSOX staining was used to detect the effect of Tcea3 on mitochondrial oxidative stress, and the contents of NADP(H) and GSH/GSSG were detected by relevant kits.ResultsA total of 95 DEGs were identified and Tcea3 was negatively correlated with Nppa, Nppb and Myh7. The expression level of Tcea3 was downregulated during cardiac remodeling both in vivo and in vitro. Knockdown of Tcea3 aggravated cardiomyocyte hypertrophy induced by PE in NRVMs. GSEA and online tool ARCHS4 predict Tcea3 involved in fatty acid oxidation (FAO). Subsequently, RT-PCR results showed that knockdown of Tcea3 up-regulated Ces1d and Pla2g5 mRNA expression levels. In PE induced cardiomyocyte hypertrophy, Tcea3 silencing results in decreased fatty acid utilization, decreased ATP synthesis and increased mitochondrial oxidative stress.ConclusionOur study identifies Tcea3 as a novel anti-cardiac remodeling target by regulating FAO and governing mitochondrial oxidative stress.https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137429/fullheart failurebioinformaticsTcea3transcriptional regulatorfatty acid oxidation
spellingShingle Yingying Guo
Yingying Guo
Xian-feng Cen
Xian-feng Cen
Dan Li
Dan Li
Hong-liang Qiu
Hong-liang Qiu
Ya-jie Chen
Ya-jie Chen
Meng Zhang
Meng Zhang
Si-hui Huang
Si-hui Huang
Hao Xia
Hao Xia
Man Xu
Man Xu
Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
Frontiers in Cardiovascular Medicine
heart failure
bioinformatics
Tcea3
transcriptional regulator
fatty acid oxidation
title Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
title_full Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
title_fullStr Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
title_full_unstemmed Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
title_short Identify Tcea3 as a novel anti-cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
title_sort identify tcea3 as a novel anti cardiomyocyte hypertrophy gene involved in fatty acid oxidation and oxidative stress
topic heart failure
bioinformatics
Tcea3
transcriptional regulator
fatty acid oxidation
url https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137429/full
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