Explore key genes of Crohn's disease based on glycerophospholipid metabolism: A comprehensive analysis Utilizing Mendelian Randomization, Multi-Omics integration, Machine Learning, and SHAP methodology.

Journal: International immunopharmacology
PMID: 39173401

Abstract

BACKGROUND AND AIMS: Crohn's disease (CD) is a chronic, complex inflammatory condition with increasing incidence and prevalence worldwide. However, the causes of CD remain incompletely understood. We identified CD-related metabolites, inflammatory factors, and key genes by Mendelian randomization (MR), multi-omics integration, machine learning (ML), and SHAP.

Authors

  • Changan Chen
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Juanhua Quan
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Xintian Chen
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Tingmei Yang
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Caiyuan Yu
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Shicai Ye
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Yuping Yang
  • Xiu Wu
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China.
  • Danxian Jiang
    Department of Medical Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China. Electronic address: fyjiangdanxian@163.com.
  • Yijie Weng
    Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, PR China. Electronic address: Jane_weng123@163.com.

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