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Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration
BACKGROUND: The purpose of this study was to identify possible diagnostic indicators for heart failure (HF) and to investigate the function of immune cell infiltration in this pathophysiology. METHODS: HF datasets from the Gene Expression Metascape database were utilized. R software was used to the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096324/ https://www.ncbi.nlm.nih.gov/pubmed/35572891 http://dx.doi.org/10.21037/jtd-22-22 |
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author | Jiang, Yuanyuan Zhang, Yanzhou Zhao, Chuhuan |
author_facet | Jiang, Yuanyuan Zhang, Yanzhou Zhao, Chuhuan |
author_sort | Jiang, Yuanyuan |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to identify possible diagnostic indicators for heart failure (HF) and to investigate the function of immune cell infiltration in this pathophysiology. METHODS: HF datasets from the Gene Expression Metascape database were utilized. R software was used to the identify differentially-expressed genes (DEGs) and perform functional correlation analysis. Least absolute shrinkage and selection operator (LASSO) and Boruta algorithms elimination algorithms were then employed to screen and validate the HF diagnostic variables. Finally, Single-sample Gene Set Enrichment Analysis (ssGSEA) was utilized to assess immune cell infiltration in HF tissues, and the Spearman association between gene expression and immune cell concentration was investigated. RESULTS: A total of 239 DEGs were screened in this study. SERPINA3 (area under the curve, AUC =0.958), FCN3 (AUC =0.972), FREM1 (AUC =0.954), and MNS1 (AUC =0.948) were identified as diagnostic factors of HF. The gene set differentiation analysis (GSVA) (R package “GSVA”) results showed that the high expression of FREM1 and MNS1 genes was involved in bile acid, fatty acid, and heme metabolism, suggesting that the core gene affects the progression of HF by regulating metabolism. Meanwhile, the high expression of FCN3 and SERPINA3 was related to xenobiotic metabolism, inflammatory response, and adipogenesis. CONCLUSIONS: Given the importance of immune cell infiltration in the genesis and progression of HF, SERPINA3, FCN3, FREM1, and MNS1 may be used as diagnostic variables for HF. |
format | Online Article Text |
id | pubmed-9096324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-90963242022-05-13 Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration Jiang, Yuanyuan Zhang, Yanzhou Zhao, Chuhuan J Thorac Dis Original Article BACKGROUND: The purpose of this study was to identify possible diagnostic indicators for heart failure (HF) and to investigate the function of immune cell infiltration in this pathophysiology. METHODS: HF datasets from the Gene Expression Metascape database were utilized. R software was used to the identify differentially-expressed genes (DEGs) and perform functional correlation analysis. Least absolute shrinkage and selection operator (LASSO) and Boruta algorithms elimination algorithms were then employed to screen and validate the HF diagnostic variables. Finally, Single-sample Gene Set Enrichment Analysis (ssGSEA) was utilized to assess immune cell infiltration in HF tissues, and the Spearman association between gene expression and immune cell concentration was investigated. RESULTS: A total of 239 DEGs were screened in this study. SERPINA3 (area under the curve, AUC =0.958), FCN3 (AUC =0.972), FREM1 (AUC =0.954), and MNS1 (AUC =0.948) were identified as diagnostic factors of HF. The gene set differentiation analysis (GSVA) (R package “GSVA”) results showed that the high expression of FREM1 and MNS1 genes was involved in bile acid, fatty acid, and heme metabolism, suggesting that the core gene affects the progression of HF by regulating metabolism. Meanwhile, the high expression of FCN3 and SERPINA3 was related to xenobiotic metabolism, inflammatory response, and adipogenesis. CONCLUSIONS: Given the importance of immune cell infiltration in the genesis and progression of HF, SERPINA3, FCN3, FREM1, and MNS1 may be used as diagnostic variables for HF. AME Publishing Company 2022-04 /pmc/articles/PMC9096324/ /pubmed/35572891 http://dx.doi.org/10.21037/jtd-22-22 Text en 2022 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Jiang, Yuanyuan Zhang, Yanzhou Zhao, Chuhuan Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title | Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title_full | Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title_fullStr | Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title_full_unstemmed | Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title_short | Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
title_sort | integrated gene expression profiling analysis reveals serpina3, fcn3, frem1, mns1 as candidate biomarkers in heart failure and their correlation with immune infiltration |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096324/ https://www.ncbi.nlm.nih.gov/pubmed/35572891 http://dx.doi.org/10.21037/jtd-22-22 |
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