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Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy

BACKGROUND: Hypertrophic cardiomyopathy (HCM), an autosomal dominant genetic disease, is the main cause of sudden death in adolescents and athletes globally. Hypoxia and immune factors have been revealed to be related to the pathology of HCM. There is growing evidence of a role for hypoxia and infla...

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Autores principales: Yu, Haozhen, Gu, Lanxin, Du, Linfang, Dong, Zhao, Li, Zhuang, Yu, Mujun, Yin, Yue, Wang, Yishi, Yu, Lu, Ma, Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410988/
https://www.ncbi.nlm.nih.gov/pubmed/37559135
http://dx.doi.org/10.1186/s40659-023-00451-4
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author Yu, Haozhen
Gu, Lanxin
Du, Linfang
Dong, Zhao
Li, Zhuang
Yu, Mujun
Yin, Yue
Wang, Yishi
Yu, Lu
Ma, Heng
author_facet Yu, Haozhen
Gu, Lanxin
Du, Linfang
Dong, Zhao
Li, Zhuang
Yu, Mujun
Yin, Yue
Wang, Yishi
Yu, Lu
Ma, Heng
author_sort Yu, Haozhen
collection PubMed
description BACKGROUND: Hypertrophic cardiomyopathy (HCM), an autosomal dominant genetic disease, is the main cause of sudden death in adolescents and athletes globally. Hypoxia and immune factors have been revealed to be related to the pathology of HCM. There is growing evidence of a role for hypoxia and inflammation as triggers and enhancers in the pathology in HCM. However, the role of hypoxia- and immune-related genes in HCM have not been reported. METHODS: Firstly, we obtained four HCM-related datasets from the Gene Expression Omnibus (GEO) database for differential expression analysis. Immune cells significantly expressed in normal samples and HCM were then screened by a microenvironmental cell population counter (MCP-counter) algorithm. Next, hypoxia- and immune-related genes were screened by the LASSO + support vector machine recursive feature elimination (SVM-RFE) and weighted gene co-expression network analysis (WGCNA). Single-gene enrichment analysis and expression validation of key genes were then performed. Finally, we constructed a competing endogenous RNA (ceRNA) network of key genes. RESULTS: In this study, 35 differentially expressed hypoxia genes were found. By using LASSO + SVM-RFE analysis, 10 more targets with differentially expressed hypoxia genes were identified. The MCP-count algorithm yielded five differentially expressed immune cells, and after assessing them for WGCNA characteristics, 612 immune genes were discovered. When hypoxia and immune genes were combined for cross-tabulation analysis, three hypoxia- and immune-related genes (ATP2A2, DDAH1, and OMA1) were identified. CONCLUSION: Based on hypoxia characteristic genes, three key genes were identified. These were also significantly related to immune activation, which proves a theoretical basis and reference value for studying the relationship between HCM and hypoxia and immunity. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00451-4.
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spelling pubmed-104109882023-08-10 Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy Yu, Haozhen Gu, Lanxin Du, Linfang Dong, Zhao Li, Zhuang Yu, Mujun Yin, Yue Wang, Yishi Yu, Lu Ma, Heng Biol Res Research Article BACKGROUND: Hypertrophic cardiomyopathy (HCM), an autosomal dominant genetic disease, is the main cause of sudden death in adolescents and athletes globally. Hypoxia and immune factors have been revealed to be related to the pathology of HCM. There is growing evidence of a role for hypoxia and inflammation as triggers and enhancers in the pathology in HCM. However, the role of hypoxia- and immune-related genes in HCM have not been reported. METHODS: Firstly, we obtained four HCM-related datasets from the Gene Expression Omnibus (GEO) database for differential expression analysis. Immune cells significantly expressed in normal samples and HCM were then screened by a microenvironmental cell population counter (MCP-counter) algorithm. Next, hypoxia- and immune-related genes were screened by the LASSO + support vector machine recursive feature elimination (SVM-RFE) and weighted gene co-expression network analysis (WGCNA). Single-gene enrichment analysis and expression validation of key genes were then performed. Finally, we constructed a competing endogenous RNA (ceRNA) network of key genes. RESULTS: In this study, 35 differentially expressed hypoxia genes were found. By using LASSO + SVM-RFE analysis, 10 more targets with differentially expressed hypoxia genes were identified. The MCP-count algorithm yielded five differentially expressed immune cells, and after assessing them for WGCNA characteristics, 612 immune genes were discovered. When hypoxia and immune genes were combined for cross-tabulation analysis, three hypoxia- and immune-related genes (ATP2A2, DDAH1, and OMA1) were identified. CONCLUSION: Based on hypoxia characteristic genes, three key genes were identified. These were also significantly related to immune activation, which proves a theoretical basis and reference value for studying the relationship between HCM and hypoxia and immunity. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00451-4. BioMed Central 2023-08-09 /pmc/articles/PMC10410988/ /pubmed/37559135 http://dx.doi.org/10.1186/s40659-023-00451-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yu, Haozhen
Gu, Lanxin
Du, Linfang
Dong, Zhao
Li, Zhuang
Yu, Mujun
Yin, Yue
Wang, Yishi
Yu, Lu
Ma, Heng
Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title_full Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title_fullStr Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title_full_unstemmed Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title_short Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
title_sort identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410988/
https://www.ncbi.nlm.nih.gov/pubmed/37559135
http://dx.doi.org/10.1186/s40659-023-00451-4
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