Identification of biomarkers for pediatric sepsis based on machine learning and bioinformatics analysis

Weidong Ye1, Sijia Chen1, You Duan2

  • 1Department of Pediatric, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.

Insights

This study identified RORA and GPR183 as key biomarkers for pediatric sepsis, a serious condition. These findings may lead to better diagnostic tools and treatments for children with sepsis.

Area of Science:

  • Pediatric critical care medicine
  • Immunology
  • Genomics

Background:

  • Pediatric sepsis presents a significant challenge due to high mortality and lack of effective diagnostic biomarkers.
  • Early diagnosis and treatment are hindered by the complex immune dysregulation in pediatric sepsis.

Purpose of the Study:

  • To identify novel biomarkers for early diagnosis and potential therapeutic targets in pediatric sepsis.
  • To investigate the immune cell infiltration patterns in pediatric sepsis patients.

Main Methods:

  • Integrated six bulk RNA-seq datasets (497 patients, 116 controls).
  • Utilized weighted gene co-expression network analysis and 14 machine learning models to screen biomarkers.
  • Performed functional enrichment and immune infiltration analyses.
  • Validated findings in a zebrafish sepsis model.

Main Results:

  • Identified 237 high-confidence biomarkers, with RORA and GPR183 showing prominence across multiple models.
  • Biomarkers are implicated in transcription, immune response, and cellular senescence.
  • Observed reduced adaptive immune cells (B cells, CD8+ T cells) and increased neutrophils/monocytes, suggesting immunoparalysis.
  • RORA and GPR183 correlate positively with CD8+ T cells.
  • Zebrafish model showed downregulation of rora1, rora2, and gpr183 in sepsis.

Conclusions:

  • RORA and GPR183 are promising biomarkers for pediatric sepsis diagnosis and may play a role in T cell regulation.
  • Findings offer insights into immune dysregulation in pediatric sepsis and potential therapeutic strategies.
  • An open-source website was developed for real-time biomarker application.

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