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
  • [21] Identification of immune-related genes and integrated analysis of immune-cell infiltration in melanoma
    He, Zhenghao
    Chen, Manli
    Luo, Zhijun
    AGING-US, 2024, 16 (01): : 911 - 927
  • [22] Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis
    Li, Jingru
    Sun, Guihu
    Ma, Haocheng
    Wu, Xinyu
    Li, Chaozhong
    Ding, Peng
    Lu, Si
    Li, Yanyan
    Yang, Ping
    Li, Chaguo
    Yang, Jun
    Peng, Yunzhu
    Meng, Zhaohui
    Wang, Luqiao
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [23] In-silico identification of chicken immune-related genes
    Smith, J
    Speed, D
    Law, AS
    Glass, EJ
    Burt, DW
    IMMUNOGENETICS, 2004, 56 (02) : 122 - 133
  • [24] In-silico identification of chicken immune-related genes
    Jacqueline Smith
    David Speed
    Andrew S. Law
    Elizabeth J. Glass
    David W. Burt
    Immunogenetics, 2004, 56 : 122 - 133
  • [25] Biomarker identification of immune-related genes in pheochromocytoma and paraganglioma
    Wan, Guang Yang
    TRANSLATIONAL ANDROLOGY AND UROLOGY, 2023, 12 (02) : 249 - 260
  • [26] Identification and validation of autophagy-related genes in hypertrophic cardiomyopathy
    Qiu, Rong-Bin
    Zhao, Shi-Tao
    Li, Zhi-Wei
    Zeng, Rui-Yuan
    Qiu, Zhi-Cong
    Peng, Han-Zhi
    Xu, Zhi-Qiang
    Zhou, Lian-Fen
    Lai, Song-Qing
    Wan, Li
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2024, 28 (06)
  • [27] Identification and validation of key immune-related genes with promising diagnostic and predictive value in systemic sclerosis
    Zhang, Yajie
    Zhu, Mingxin
    Xie, Limin
    Zhang, Haowei
    Deng, Tuo
    LIFE SCIENCES, 2023, 312
  • [28] Identification of key immune-related genes in the pathogenesis of metastatic melanoma via bioinformatic approaches.
    Su, Shengqin
    Chhabra, Gagan
    Ye, Ting
    Ahmad, Nihal
    CANCER RESEARCH, 2021, 81 (13)
  • [29] Identification of key immune-related genes and potential therapeutic targets in immune checkpoint inhibitor-associated myocarditis
    Qu, Shenglin
    Zhang, Junyi
    Wang, Kuangyi
    Zhou, Yafeng
    POSTGRADUATE MEDICAL JOURNAL, 2024, 101 (1192) : 137 - 146
  • [30] Comparative analysis of Xenopus immune-related genes
    Ota, Yuko
    Flajnik, Martin
    JOURNAL OF IMMUNOLOGY, 2010, 184