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Updated: Jun 24, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Sepsis phenotypes, subphenotypes, and endotypes: are they ready for bedside care?
Sias J Scherger1, Andre C Kalil
1University of Nebraska Medical Center, Department of Medicine, Division of Infectious Diseases, Omaha, Nebraska, USA.
Sepsis heterogeneity hinders effective therapies. Recent research identifies distinct sepsis phenotypes using multiomics and biomarkers, paving the way for personalized treatments and improved patient outcomes.
Area of Science:
- Critical Care Medicine
- Immunology
- Genomics
Background:
- Sepsis is a major global health challenge with high mortality rates.
- Current sepsis treatments lack efficacy due to significant patient heterogeneity.
- Advances in understanding sepsis phenotypes are crucial for therapeutic development.
Purpose of the Study:
- To review recent literature on sepsis phenotypes and their implications.
- To explore the potential for targeted research and therapeutic interventions based on sepsis subtypes.
- To highlight how understanding sepsis heterogeneity can improve patient outcomes.
Main Methods:
- Analysis of clinical parameters, including vital sign trajectories.
- Investigation of microbial factors and novel biomarkers.
- Application of multiomics approaches (genomics, transcriptomics, proteomics, metabolomics).
Main Results:
- Numerous sepsis phenotypes, subphenotypes, and endotypes have been identified.
- Multiomics studies reveal significant population differences, especially in immunosuppressed sepsis.
- Biomarker investigations show potential for improved diagnostic accuracy and complication identification.
Conclusions:
- Validated sepsis phenotypes can guide therapies more effectively than universal approaches.
- Novel biomarkers and multiomics data offer promise for personalized sepsis management.
- Further research is needed to overcome reproducibility and implementation challenges for bedside application.
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