Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis.

Journal: Orphanet journal of rare diseases
Published Date:

Abstract

OBJECTIVE: Emerging evidence suggests a potential relationship between lipid metabolism and idiopathic pulmonary fibrosis (IPF). This study aimed to identify lipid-related genes implicated in IPF pathogenesis.

Authors

  • Xingren Liu
    Department of Respiratory and Critical Care Medicine, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Junmei Song
    Department of Cardiovascular Ultrasound & Noninvasive Cardiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, People's Republic of China.
  • Shujin Guo
    Department of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Yi Liao
    Department of Radiology, West China Second Hospital of Sichuan University, Chengdu, Sichuan, China.
  • Jun Zou
    State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
  • Liqing Yang
    Department of Respiratory and Critical Care Medicine, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. yangliqing@med.uestc.edu.cn.
  • Caiyu Jiang
    Department of Respiratory and Critical Care Medicine, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. jiangcaiyu@med.uestc.edu.cn.