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

被引:4
|
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
  • [1] Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy
    Haozhen Yu
    Lanxin Gu
    Linfang Du
    Zhao Dong
    Zhuang Li
    Mujun Yu
    Yue Yin
    Yishi Wang
    Lu Yu
    Heng Ma
    Biological Research, 56
  • [2] Identification and Verification of Feature Immune-Related Genes in Patients With Hypertrophic Cardiomyopathy Based on Bioinformatics Analyses
    Zheng, Xifeng
    Liu, Guangyan
    Huang, Ruina
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2021, 8
  • [3] Identification of the key immune-related genes in aneurysmal subarachnoid hemorrhage
    Wang, Xing
    Wen, Dingke
    You, Chao
    Ma, Lu
    FRONTIERS IN MOLECULAR NEUROSCIENCE, 2022, 15
  • [4] Identification of key immune-related genes and immune infiltration in atrial fibrillation with valvular heart disease based on bioinformatics analysis
    Li, Shuo
    Jiang, Zhiyuan
    Chao, Xiaoying
    Jiang, Chenyang
    Zhong, Guoqiang
    JOURNAL OF THORACIC DISEASE, 2021, 13 (03) : 1785 - 1798
  • [5] Identification of the Key Immune-Related Genes in Chronic Obstructive Pulmonary Disease Based on Immune Infiltration Analysis
    Meng, Hongqiong
    Long, Qionghua
    Wang, Ruiping
    Zhou, Xian
    Su, Huipeng
    Wang, Tingting
    Li, Ya
    INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2022, 17 : 13 - 24
  • [6] Identification of Immune-Related Key Genes in Ovarian Cancer Based on WGCNA
    Quan, Qingli
    Xiong, Xinxin
    Wu, Shanyun
    Yu, Meixing
    FRONTIERS IN GENETICS, 2021, 12
  • [7] Identification of the key immune-related genes and immune cell infiltration changes in renal interstitial fibrosis
    Dong, Zhitao
    Chen, Fangzhi
    Peng, Shuang
    Liu, Xiongfei
    Liu, Xingyang
    Guo, Lizhe
    Wang, E.
    Chen, Xiang
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [8] 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)
  • [9] Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis
    Ma, Zetao
    Wang, Xizhi
    Lv, Qingbo
    Gong, Yingchao
    Xia, Minghong
    Zhuang, Lenan
    Lu, Xue
    Yang, Ying
    Zhang, Wenbin
    Fu, Guosheng
    Ye, Yang
    Lai, Dongwu
    PHARMACOGENOMICS & PERSONALIZED MEDICINE, 2021, 14 : 823 - 837
  • [10] Identification of Immune-Related Risk Genes in Osteoarthritis Based on Bioinformatics Analysis and Machine Learning
    Xu, Jintao
    Chen, Kai
    Yu, Yaohui
    Wang, Yishu
    Zhu, Yi
    Zou, Xiangjie
    Jiang, Yiqiu
    JOURNAL OF PERSONALIZED MEDICINE, 2023, 13 (02):