Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry.

Journal: Frontiers in immunology
PMID: 39935469

Abstract

BACKGROUND: Osteoarthritis (OA) is a chronic joint condition that causes pain, limited mobility, and reduced quality of life, posing a threat to healthy aging. Early detection is crucial for improving prognosis. Recent research has focused on the role of ubiquitination-related genes (URGs) in early OA prediction. This study aims to integrate URG expression data with machine learning (ML) to identify biomarkers that improve diagnosis and prognosis in the early stages of OA.

Authors

  • Yiwei Chen
    Shanghai Synyi Medical Technology Co., Ltd, Shanghai, China.
  • Jiali Lin
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
  • Detong Shi
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
  • Yu Miao
    Software College, Northeastern University, Shenyang, 110819, China.
  • Feng Xue
    Nursing Department, The Second Affiliated Hospital of Air Force Military Medical University, Xi'an 710038, China.
  • Kexin Liu
    Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150000, Heilongjiang Province, China.
  • Xiaotao Wang
    Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA. xiaotao.wang@northwestern.edu.
  • Changqing Zhang

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