Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework.

Journal: Frontiers in immunology
PMID: 39669564

Abstract

BACKGROUND: Sepsis is a life-threatening condition that causes millions of deaths globally each year. The need for biomarkers to predict the progression of sepsis to septic shock remains critical, with rapid, reliable methods still lacking. Transcriptomics data has recently emerged as a valuable resource for disease phenotyping and endotyping, making it a promising tool for predicting disease stages. Therefore, we aimed to establish an advanced machine learning framework to predict sepsis and septic shock using transcriptomics datasets with rapid turnaround methods.

Authors

  • Chao Du
  • Stephanie C Tan
    Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
  • Heng-Fu Bu
    Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
  • Saravanan Subramanian
    Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
  • Hua Geng
    Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
  • Xiao Wang
    Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
  • Hehuang Xie
    Laboratory of Genome Variation and Precision Biomedicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; Epigenomics and Computational Biology Lab, Virginia Bioinformatics Institute, Virginia Tech, VA 24060, USA; Department of Biological Sciences, Virginia Tech, VA 24060, USA. Electronic address: davidxie@vt.edu.
  • Xiaowei Wu
    Department of Statistics, Virginia Tech, Blacksburg, VA, United States.
  • Tingfa Zhou
    Department of Critical Care Medicine, Linyi People's Hospital, Weifang Medical University, Linyi, Shandong, China.
  • Ruijin Liu
    Department of Critical Care Medicine, Linyi People's Hospital, Weifang Medical University, Linyi, Shandong, China.
  • Zhen Xu
  • Bing Liu
    Department of Cardiovascular Surgery, the Sixth Medical Centre of Chinese PLA General Hospital, 100048 Beijing, China.
  • Xiao-Di Tan
    Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.

Keywords

External Resources

Popular Topics
Recent Journals