Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning.

Journal: Hereditas
PMID: 37620966

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in the pathogenesis of AF. Existing investigations suggest that cuproptosis may also contribute to AF. This investigation aimed to identify a novel diagnostic gene signature associated with cuproptosis for AF using ensemble learning methods and discover the connection between AF and cuproptosis.

Authors

  • Yixin Wang
    Structural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
  • Qiaozhu Wang
    Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Peng Liu
    Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China.
  • Lingyan Jin
    Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Xinghua Qin
    Xi'an Key Laboratory of Special Medicine and Health Engineering, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China. xinghuaqin@nwpu.edu.cn.
  • Qiangsun Zheng
    Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. zhengqiangsun@126.com.

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