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Updated: May 8, 2026

A Controlled Mouse Model for Neonatal Polymicrobial Sepsis
Published on: January 27, 2019
The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression
Susie Shih Yin Huang1,2, Mohammed Toufiq2, Pirooz Eghtesady1
1Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, United States.
Insights
Infant sepsis gene signatures differ from adults, necessitating new diagnostic tools. Molecular analysis reveals distinct immune and clotting changes during infant sepsis progression toward shock.
Area of Science:
- Pediatric Infectious Diseases
- Genomics and Transcriptomics
- Neonatal Critical Care
Background:
- Sepsis is a leading cause of infant mortality.
- Existing adult sepsis gene signatures have limited applicability to infants.
- Biomarkers for infant sepsis severity and shock risk are needed.
Purpose of the Study:
- To identify infant-specific gene expression patterns in bacterial sepsis.
- To evaluate the utility of adult sepsis gene signatures in infants.
- To characterize molecular changes during infant sepsis progression.
Main Methods:
- Assembled a multi-transcriptomic dataset from five infant sepsis studies (n=335).
- Employed COmbat co-normalization for cross-study analysis.
- Utilized pseudotime analysis and in-depth gene expression profiling.
Main Results:
- Adult sepsis gene signatures showed poor concordance in infants.
- Transcriptomic data revealed a continuum of molecular changes with disease progression.
- Key changes included lymphocyte activity, hemostatic processes, and innate immunity shifts.
Conclusions:
- Infant sepsis exhibits unique transcriptomic perturbations distinct from adults.
- Progression to septic shock involves late-stage clotting factor induction and altered immune cell function.
- Findings underscore the need for infant-specific sepsis biomarkers.
Introduction:
Sepsis remains a major cause of mortality and morbidity in infants. In recent years, several gene marker strategies for the early identification of sepsis have been proposed but only a few have been independently validated for adult cohorts and applicability to infant sepsis remains unclear. Biomarkers to assess disease severity and risks of shock also represent an important unmet need.
Methods:
To elucidate characteristics driving sepsis in infants, we assembled a multi-transcriptomic dataset from public microarray datasets originating from five independent studies pertaining to bacterial sepsis in infant < 6-months of age (total n=335). We utilized a COmbat co-normalization strategy to enable comparative evaluation across multiple studies while preserving the relationship between cases and controls.
Results:
We found good concordance with only two out of seven of the published adult sepsis gene signatures (accuracy > 80%), highlighting the narrow utility of adult-derived signatures for infant diagnosis. Pseudotime analysis of individual subjects' gene expression profiles showed a continuum of molecular changes forming tight clusters concurrent with disease progression between healthy controls and septic shock cases. In depth gene expression analyses between bacteremia, septic shock, and healthy controls characterized lymphocyte activity, hemostatic processes, and heightened innate immunity during the molecular transition toward a state of shock.
Discussion:
Our analysis revealed the presence of multiple significant transcriptomic perturbations that occur during the progression to septic shock in infants that are characterized by late-stage induction of clotting factors, in parallel with a heightened innate immune response and a suppression of adaptive cell functionality.
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