Identification of crucial genes related to heart failure based on GEO database.

Journal: BMC cardiovascular disorders
PMID: 37507655

Abstract

BACKGROUND: The molecular biological mechanisms underlying heart failure (HF) remain poorly understood. Therefore, it is imperative to use innovative approaches, such as high-throughput sequencing and artificial intelligence, to investigate the pathogenesis, diagnosis, and potential treatment of HF.

Authors

  • Yongliang Chen
    Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
  • Jing Xue
    Shandong University School of Medicine, Shandong University Jinan, P. R. China.
  • Xiaoli Yan
    Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
  • Da-Guang Fang
    Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
  • Fangliang Li
    Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
  • Xuefei Tian
    Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
  • Peng Yan
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Room 603, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
  • Zengbin Feng
    Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China. Fengzengbin1@163.com.

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