Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.

Journal: Frontiers in immunology
PMID: 39697339

Abstract

BACKGROUND: Low back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. There are notable differences in the distribution of lymphatic vessels (LV) in normal and pathological intervertebral discs. Nevertheless, the molecular mechanisms of lymphatics-associated genes (LAGs) in the development of IVDD remain unclear. An in-depth exploration of this area will help to reveal the biological and clinical significance of LAGs in IVDD and may lead to the search for new therapeutic targets for IVDD.

Authors

  • Maoqiang Lin
    Department of Orthopedics, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
  • Shaolong Li
    Sports Reform and Development Research Center, Henan University School of Physical Education and Sport, Kaifeng 475001, Henan, China.
  • Yabin Wang
    Army Engineering University of PLA, Shijiazhuang Campus, Department of Equipment Command and Management, Shijiazhuang 050003, China.
  • Guan Zheng
    Department of Orthopedics, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
  • Fukang Hu
    Department of Orthopedics, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Pengjie Song
    Department of Orthopedics, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
  • Haiyu Zhou
    Division of Thoracic Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. Thoracichaiyu@gmail.com.

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