Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.

Journal: International journal of chronic obstructive pulmonary disease
Published Date: May 28, 2025

Abstract

BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary disease (COPD) and sepsis, but the underlying mechanisms remain unclear. This study aimed to explore shared diagnostic genes, potential mechanisms, and the role of immune cells in the COPD-sepsis relationship using Mendelian randomization (MR) and bioinformatics approaches, while also identifying potential therapeutic drugs.

Authors

  • Xinyi Li
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.
  • Yuyang Xiao
    Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, People's Republic of China.
  • Meng Yang
  • Xupeng Zhang
    Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, People's Republic of China.
  • Zhangchi Yuan
    Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, People's Republic of China.
  • Zaiqiu Zhang
    Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, People's Republic of China.
  • Hanyong Zhang
  • Lin Liu
    Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, CMA-Shanghai, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory.
  • Mingyi Zhao
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.

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