Machine learning-based transcriptomic analysis identifies candidate genes in sepsis-induced coagulopathy and explores the immunomodulatory potential of baicalein.

Journal: Human genomics
Published Date: Aug 31, 2025

Abstract

BACKGROUND: Sepsis is a major contributor to high morbidity and mortality, often leading to coagulation disorders (CD) in affected individuals. Baicalein, a natural compound with well-established anti-inflammatory properties, shows promise as a potential treatment for sepsis. However, its molecular mechanisms in sepsis-associated CD remain poorly understood. This study investigated the therapeutic effects of baicalein in sepsis and identified candidate genes involved in its mechanism of action.

Authors

  • Lifang Mu
    Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
  • Yuxue Zhang
    Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
  • Tingting Yuan
    College of Life Sciences and Chemistry Engineering, Hunan University of Science and Engineering, Yongzhou, Hunan, China.
  • Dingshun Zhang
    Department of Traditional Chinese Medicine, The First Affiliated Hospital, Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, China.
  • Zhifeng Liu
    Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing 100022, China.
  • Ming Wu
    Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA; Department of Physical Medicine & Rehabilitation, Northwestern University Medical School, Chicago, IL 60611, USA. Electronic address: w-ming@northwestern.edu.
  • Li Zhong
    The First Affiliated Hospital of Chongqing Medical University Health Management Center, Chongqing, 400016, China.

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