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Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression

BACKGROUND: Heart failure (HF) has been recognized as a global pandemic with a high rate of hospitalization, morbidity, and mortality. Although numerous advances have been made, its representative molecular signatures remain largely unknown, especially the role of genes in HF progression. The aim of...

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Autores principales: Hua, Xiumeng, Wang, Yin-Ying, Jia, Peilin, Xiong, Qing, Hu, Yiqing, Chang, Yuan, Lai, Songqing, Xu, Yong, Zhao, Zhongming, Song, Jiangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943904/
https://www.ncbi.nlm.nih.gov/pubmed/31902369
http://dx.doi.org/10.1186/s12916-019-1469-4
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author Hua, Xiumeng
Wang, Yin-Ying
Jia, Peilin
Xiong, Qing
Hu, Yiqing
Chang, Yuan
Lai, Songqing
Xu, Yong
Zhao, Zhongming
Song, Jiangping
author_facet Hua, Xiumeng
Wang, Yin-Ying
Jia, Peilin
Xiong, Qing
Hu, Yiqing
Chang, Yuan
Lai, Songqing
Xu, Yong
Zhao, Zhongming
Song, Jiangping
author_sort Hua, Xiumeng
collection PubMed
description BACKGROUND: Heart failure (HF) has been recognized as a global pandemic with a high rate of hospitalization, morbidity, and mortality. Although numerous advances have been made, its representative molecular signatures remain largely unknown, especially the role of genes in HF progression. The aim of the present prospective follow-up study was to reveal potential biomarkers associated with the progression of heart failure. METHODS: We generated multi-level transcriptomic data from a cohort of left ventricular heart tissue collected from 21 HF patients and 9 healthy donors. By using Masson staining to calculate the fibrosis percentage for each sample, we applied lasso regression model to identify the genes associated with fibrosis as well as progression. The genes were further validated by immunohistochemistry (IHC) staining in the same cohort and qRT-PCR using another independent cohort (20 HF and 9 healthy donors). Enzyme-linked immunosorbent assay (ELISA) was used to measure the plasma level in a validation cohort (139 HF patients) for predicting HF progression. RESULTS: Based on the multi-level transcriptomic data, we examined differentially expressed genes [mRNAs, microRNAs, and long non-coding RNAs (lncRNAs)] in the study cohort. The follow-up functional annotation and regulatory network analyses revealed their potential roles in regulating extracellular matrix. We further identified several genes that were associated with fibrosis. By using the survival time before transplantation, COL1A1 was identified as a potential biomarker for HF progression and its upregulation was confirmed by both IHC and qRT-PCR. Furthermore, COL1A1 content ≥ 256.5 ng/ml in plasma was found to be associated with poor survival within 1 year of heart transplantation from heart failure [hazard ratio (HR) 7.4, 95% confidence interval (CI) 3.5 to 15.8, Log-rank p value < 1.0 × 10(− 4)]. CONCLUSIONS: Our results suggested that COL1A1 might be a plasma biomarker of HF and associated with HF progression, especially to predict the 1-year survival from HF onset to transplantation.
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spelling pubmed-69439042020-01-07 Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression Hua, Xiumeng Wang, Yin-Ying Jia, Peilin Xiong, Qing Hu, Yiqing Chang, Yuan Lai, Songqing Xu, Yong Zhao, Zhongming Song, Jiangping BMC Med Research Article BACKGROUND: Heart failure (HF) has been recognized as a global pandemic with a high rate of hospitalization, morbidity, and mortality. Although numerous advances have been made, its representative molecular signatures remain largely unknown, especially the role of genes in HF progression. The aim of the present prospective follow-up study was to reveal potential biomarkers associated with the progression of heart failure. METHODS: We generated multi-level transcriptomic data from a cohort of left ventricular heart tissue collected from 21 HF patients and 9 healthy donors. By using Masson staining to calculate the fibrosis percentage for each sample, we applied lasso regression model to identify the genes associated with fibrosis as well as progression. The genes were further validated by immunohistochemistry (IHC) staining in the same cohort and qRT-PCR using another independent cohort (20 HF and 9 healthy donors). Enzyme-linked immunosorbent assay (ELISA) was used to measure the plasma level in a validation cohort (139 HF patients) for predicting HF progression. RESULTS: Based on the multi-level transcriptomic data, we examined differentially expressed genes [mRNAs, microRNAs, and long non-coding RNAs (lncRNAs)] in the study cohort. The follow-up functional annotation and regulatory network analyses revealed their potential roles in regulating extracellular matrix. We further identified several genes that were associated with fibrosis. By using the survival time before transplantation, COL1A1 was identified as a potential biomarker for HF progression and its upregulation was confirmed by both IHC and qRT-PCR. Furthermore, COL1A1 content ≥ 256.5 ng/ml in plasma was found to be associated with poor survival within 1 year of heart transplantation from heart failure [hazard ratio (HR) 7.4, 95% confidence interval (CI) 3.5 to 15.8, Log-rank p value < 1.0 × 10(− 4)]. CONCLUSIONS: Our results suggested that COL1A1 might be a plasma biomarker of HF and associated with HF progression, especially to predict the 1-year survival from HF onset to transplantation. BioMed Central 2020-01-06 /pmc/articles/PMC6943904/ /pubmed/31902369 http://dx.doi.org/10.1186/s12916-019-1469-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hua, Xiumeng
Wang, Yin-Ying
Jia, Peilin
Xiong, Qing
Hu, Yiqing
Chang, Yuan
Lai, Songqing
Xu, Yong
Zhao, Zhongming
Song, Jiangping
Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title_full Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title_fullStr Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title_full_unstemmed Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title_short Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression
title_sort multi-level transcriptome sequencing identifies col1a1 as a candidate marker in human heart failure progression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943904/
https://www.ncbi.nlm.nih.gov/pubmed/31902369
http://dx.doi.org/10.1186/s12916-019-1469-4
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