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

被引:3
|
作者
Yu, Haozhen [1 ]
Gu, Lanxin [2 ]
Du, Linfang [3 ]
Dong, Zhao [4 ]
Li, Zhuang [1 ]
Yu, Mujun [3 ]
Yin, Yue [5 ]
Wang, Yishi [5 ]
Yu, Lu [6 ]
Ma, Heng [5 ]
机构
[1] Shaanxi Univ Chinese Med, Sch Basic Med Sci, Xianyang 712046, Peoples R China
[2] Univ Southern Calif, Los Angeles, CA 90089 USA
[3] Yanan Univ, Med Sch, Yanan 716000, Peoples R China
[4] Fourth Mil Med Univ, Xijing Hosp, Dept Gen Practice, Xian 710032, Peoples R China
[5] Fourth Mil Med Univ, Sch Basic Med, Dept Physiol & Pathophysiol, Xian 710032, Peoples R China
[6] Fourth Mil Med Univ, Xijing Hosp, Dept Pathol, Xian 710032, Peoples R China
基金
中国国家自然科学基金;
关键词
Hypertrophic cardiomyopathy; Hypoxia; Immunity; Hub gene; EXPRESSION; CELL; INFLAMMATION; MUTATIONS;
D O I
10.1186/s40659-023-00451-4
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:15
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