Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.

Journal: Frontiers in immunology
PMID: 40129981

Abstract

INTRODUCTION: Sepsis, a critical medical condition resulting from an irregular immune response to infection, leads to life-threatening organ dysfunction. Despite medical advancements, the critical need for research into dependable diagnostic markers and precise therapeutic targets.

Authors

  • Liuqing Yang
    Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225002 Yangzhou, Jiangsu, China.
  • Rui Xuan
    Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Dawei Xu
    Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Aming Sang
    Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Yanfang Zhang
    Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen 518020, China.
  • Xujun Ye
    Department of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Xinyi Li
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.

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