Identification of metabolism related biomarkers in obesity based on adipose bioinformatics and machine learning.

Journal: Journal of translational medicine
PMID: 39482740

Abstract

BACKGROUND: Obesity has emerged as a growing global public health concern over recent decades. Obesity prevalence exhibits substantial global variation, ranging from less than 5% in regions like China, Japan, and Africa to rates exceeding 75% in urban areas of Samoa.

Authors

  • Yanping Wang
    The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
  • Honglin Wang
    Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xingrui Yu
    Institute of Information, Xiamen University, Xiamen, China.
  • Qinan Wu
    Department of Endocrinology, The Affiliated Dazu Hospital of Chongqing Medical University, Chongqing, 402360, China.
  • Xinlu Lv
    Department of Endocrinology, The Affiliated Dazu Hospital of Chongqing Medical University, Chongqing, 402360, China.
  • Xuelian Zhou
    Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Nanjing, China.
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.
  • Shan Geng
    Department of Laboratory, The Affiliated Dazu Hospital of Chongqing Medical University, No. 1073 South Erhuan Road, Tangxiang Street, Dazu District, Chongqing, 402360, China. gengshan@cqmu.edu.cn.

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