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Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy

Cardiac hypertrophy is a condition that may contribute to the development of heart failure. In this study, we compare the gene-expression patterns of our in vitro stem-cell-based cardiac hypertrophy model with the gene expression of biopsies collected from hypertrophic human hearts. Twenty-five diff...

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Autores principales: Johansson, Markus, Tangruksa, Benyapa, Heydarkhan-Hagvall, Sepideh, Jeppsson, Anders, Sartipy, Peter, Synnergren, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147176/
https://www.ncbi.nlm.nih.gov/pubmed/35629393
http://dx.doi.org/10.3390/life12050726
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author Johansson, Markus
Tangruksa, Benyapa
Heydarkhan-Hagvall, Sepideh
Jeppsson, Anders
Sartipy, Peter
Synnergren, Jane
author_facet Johansson, Markus
Tangruksa, Benyapa
Heydarkhan-Hagvall, Sepideh
Jeppsson, Anders
Sartipy, Peter
Synnergren, Jane
author_sort Johansson, Markus
collection PubMed
description Cardiac hypertrophy is a condition that may contribute to the development of heart failure. In this study, we compare the gene-expression patterns of our in vitro stem-cell-based cardiac hypertrophy model with the gene expression of biopsies collected from hypertrophic human hearts. Twenty-five differentially expressed genes (DEGs) from both groups were identified and the expression of selected corresponding secreted proteins were validated using ELISA and Western blot. Several biomarkers, including CCN2, THBS1, NPPA, and NPPB, were identified, which showed significant overexpressions in the hypertrophic samples in both the cardiac biopsies and in the endothelin-1-treated cells, both at gene and protein levels. The protein-interaction network analysis revealed CCN2 as a central node among the 25 overlapping DEGs, suggesting that this gene might play an important role in the development of cardiac hypertrophy. GO-enrichment analysis of the 25 DEGs revealed many biological processes associated with cardiac function and the development of cardiac hypertrophy. In conclusion, we identified important similarities between ET-1-stimulated human-stem-cell-derived cardiomyocytes and human hypertrophic cardiac tissue. Novel putative cardiac hypertrophy biomarkers were identified and validated on the protein level, lending support for further investigations to assess their potential for future clinical applications.
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spelling pubmed-91471762022-05-29 Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy Johansson, Markus Tangruksa, Benyapa Heydarkhan-Hagvall, Sepideh Jeppsson, Anders Sartipy, Peter Synnergren, Jane Life (Basel) Article Cardiac hypertrophy is a condition that may contribute to the development of heart failure. In this study, we compare the gene-expression patterns of our in vitro stem-cell-based cardiac hypertrophy model with the gene expression of biopsies collected from hypertrophic human hearts. Twenty-five differentially expressed genes (DEGs) from both groups were identified and the expression of selected corresponding secreted proteins were validated using ELISA and Western blot. Several biomarkers, including CCN2, THBS1, NPPA, and NPPB, were identified, which showed significant overexpressions in the hypertrophic samples in both the cardiac biopsies and in the endothelin-1-treated cells, both at gene and protein levels. The protein-interaction network analysis revealed CCN2 as a central node among the 25 overlapping DEGs, suggesting that this gene might play an important role in the development of cardiac hypertrophy. GO-enrichment analysis of the 25 DEGs revealed many biological processes associated with cardiac function and the development of cardiac hypertrophy. In conclusion, we identified important similarities between ET-1-stimulated human-stem-cell-derived cardiomyocytes and human hypertrophic cardiac tissue. Novel putative cardiac hypertrophy biomarkers were identified and validated on the protein level, lending support for further investigations to assess their potential for future clinical applications. MDPI 2022-05-12 /pmc/articles/PMC9147176/ /pubmed/35629393 http://dx.doi.org/10.3390/life12050726 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Johansson, Markus
Tangruksa, Benyapa
Heydarkhan-Hagvall, Sepideh
Jeppsson, Anders
Sartipy, Peter
Synnergren, Jane
Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title_full Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title_fullStr Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title_full_unstemmed Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title_short Data Mining Identifies CCN2 and THBS1 as Biomarker Candidates for Cardiac Hypertrophy
title_sort data mining identifies ccn2 and thbs1 as biomarker candidates for cardiac hypertrophy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147176/
https://www.ncbi.nlm.nih.gov/pubmed/35629393
http://dx.doi.org/10.3390/life12050726
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