Machine learning and metabolomics identify biomarkers associated with the disease extent of ulcerative colitis.

Journal: Journal of Crohn's & colitis
PMID: 39903649

Abstract

BACKGROUND AND AIMS: Ulcerative colitis (UC) is a metabolism-related chronic intestinal inflammatory disease. Disease extent is a key parameter of UC. Using serum metabolic profiling to identify noninvasive biomarkers of disease extent may inform therapeutic decisions and risk stratification.

Authors

  • Changchang Ge
    Department of Gastroenterology, Jiangsu Provincial Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
  • Yi Lu
    Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-Sen University, 26th Yuancun the Second Road, Guangzhou, 510655, Guangdong Province, China.
  • Zhaofeng Shen
    Department of Gastroenterology, Jiangsu Provincial Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
  • Yizhou Lu
    School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing 100081, China.
  • Xiaojuan Liu
    School of Artificial Intelligence, Chongqing University of Technology, Chongqing 400050, People's Republic of China.
  • Mengyuan Zhang
    The Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No.1, Eastern Jianshe Road, Zhengzhou 450052, Henan Province, China (K.Q., D.Y., Y.Z., M.Z., W.Z., J.Z., B.Y., J.G., J.L.).
  • Yijing Liu
    College of Computer Science, Sichuan University Chengdu 610064 People's Republic of China.
  • Hong Shen
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.

Keywords

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