Clinical-transcriptomic classification of lumbar disc degeneration enhanced by machine learning.

Journal: Military Medical Research
Published Date:

Abstract

BACKGROUND: Lumbar disc degeneration (LDD) displays considerable heterogeneity in terms of clinical features and pathological changes. However, researchers have not clearly determined whether the transcriptome variations in LDD could be used to identify or interpret the causes of heterogeneity in clinical features. This study aimed to identify the transcriptomic classification of degenerated discs in LDD patients and whether the molecular subtypes of LDD could be accurately predicted using clinical features.

Authors

  • Huai-Jian Jin
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Peng Lin
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
  • Xiao-Yuan Ma
    Department of Wound Infection and Drug, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Sha Huang
    School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Sichuan, China. Electronic address: huangsha1pot26@126.com.
  • Liang Zhang
  • Ou Hu
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Yang-Yang Li
    Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Ying-Bo Wang
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Jun Zhu
    Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, China.
  • Bo Hu
    Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Jun-Gang Pu
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Qin Qin
    Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, San Diego, CA, United States.
  • Pu-Lin Yan
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Bing Liu
    Department of Cardiovascular Surgery, the Sixth Medical Centre of Chinese PLA General Hospital, 100048 Beijing, China.
  • Yu Lan
    College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
  • Lin Chen
    College of Sports, Nanjing Tech University, Nanjing, China.
  • Yang-Li Xie
    Center of Bone Metabolism and Repair, State Key Laboratory of Trauma and Chemical Poisoning, Trauma Center, Research Institute of Surgery, Laboratory for the Prevention and Rehabilitation of Military Training Related Injuries, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China.
  • Jian He
    School of Software Engineering, Beijing University of Technology, Beijing, China. Electronic address: jianhee@bjut.edu.cn.
  • Yi-Bo Gan
    Department of Spine Surgery, Center of Orthopedics, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical Center of PLA (Daping Hospital), Army Medical University, Chongqing, 400042, China. ganyibo@tmmu.edu.cn.
  • Peng Liu
    Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China.