Identifying semaphorin 3C as a biomarker for sarcopenia and coronary artery disease via bioinformatics and machine learning.

Journal: Archives of gerontology and geriatrics
PMID: 39827515

Abstract

OBJECTIVE: Sarcopenia not only affects patients' quality of life but also may exacerbate the pathological processes of coronary artery disease (CAD). This study aimed to identify potential biomarkers to improve the combined diagnosis and treatment of sarcopenia and CAD.

Authors

  • Shu Ran
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, PR China; Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai 200082, PR China. Electronic address: shuran@usst.edu.cn.
  • Zhuoqi Li
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, PR China.
  • Xitong Lin
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, PR China.
  • Baolin Liu
    School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin 300350, PR China; State Key Laboratory of Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, PR China. Electronic address: liubaolin@tsinghua.edu.cn.

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