Decoding the cytokine code for heart failure based on bioinformatics, machine learning and Bayesian networks.

Journal: Biochimica et biophysica acta. Molecular basis of disease
PMID: 39909085

Abstract

BACKGROUND: Despite maximal pharmacological treatment guided by clinical guidelines, the prognosis of heart failure (HF) remains poor, posing a significant public health burden. This necessitates uncovering novel pathological and cardioprotective pathways. Targeting cytokines presents a promising therapeutic strategy for HF, yet their intricate mechanisms in HF progression remain obscure.

Authors

  • Yiding Yu
    Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Xiujuan Liu
    Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Wenwen Liu
    School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
  • Huajing Yuan
    Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Quancheng Han
    Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Jingle Shi
    Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Yitao Xue
    Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.

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