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.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Identification of Hub Genes and Immune-Related Pathways for Membranous Nephropathy by Bioinformatics Analysis
    Cai, Xiao-Yu
    Wang, Zu-Feng
    Ge, Shu-Wang
    Xu, Gang
    FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [32] Identifying hub genes, key pathways and key immune-related genes in Peyronie's disease by integrated bioinformatic analysis
    Cui, Yuanshan
    Chen, Lili
    Wang, Xiaofeng
    Yu, Luxin
    Wu, Jitao
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [33] Identification of the Prognostic Value of Immune-Related Genes in Esophageal Cancer
    Guo, Xiong
    Wang, Yujun
    Zhang, Han
    Qin, Chuan
    Cheng, Anqi
    Liu, Jianjun
    Dai, Xinglong
    Wang, Ziwei
    FRONTIERS IN GENETICS, 2020, 11
  • [34] Identification of immune-related genes as prognostic factors in bladder cancer
    Jie Zhu
    Han Wang
    Ting Ma
    Yan He
    Meng Shen
    Wei Song
    Jing-Jing Wang
    Jian-Ping Shi
    Meng-Yao Wu
    Chao Liu
    Wen-Jie Wang
    Yue-Qing Huang
    Scientific Reports, 10
  • [35] Identification of Immune-Related Hub Genes in Parkinson's Disease
    Chen, Lin
    Wang, Yong
    Huang, Juan
    Hu, Binbin
    Huang, Wei
    FRONTIERS IN GENETICS, 2022, 13
  • [36] Identification and validation of immune-related genes in osteoarthritic synovial fibroblasts
    Dai, Yaduan
    Chen, Lin
    Zhang, Zhan
    Liu, Xueyong
    HELIYON, 2024, 10 (07)
  • [37] Identification of immune-related hub genes in spinal cord injury
    Gao, Xiaofeng
    Su, Yanting
    Shan, Shigang
    Qian, Wenbin
    Zhang, Zhenwang
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2024, 29 (01)
  • [38] Identification of immune-related genes as prognostic factors in bladder cancer
    Zhu, Jie
    Wang, Han
    Ma, Ting
    He, Yan
    Shen, Meng
    Song, Wei
    Wang, Jing-Jing
    Shi, Jian-Ping
    Wu, Meng-Yao
    Liu, Chao
    Wang, Wen-Jie
    Huang, Yue-Qing
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [39] Systematic analysis of myocardial immune progression in septic cardiomyopathy: Immune-related mechanisms in septic cardiomyopathy
    Ma, Dunliang
    Qin, Xianyu
    Zhong, Zhi-an
    Liao, Hongtao
    Chen, Pengyuan
    Zhang, Bin
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 9
  • [40] Regulation of Key Immune-Related Genes in the Heart Following Burn Injury
    Wen, Jake J.
    Mobli, Keyan
    Radhakrishnan, Geetha L.
    Radhakrishnan, Ravi S.
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (06):