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Updated: Aug 21, 2025
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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
300
LEUKOCYTE PHENOTYPING IN SEPSIS USING OMICS, FUNCTIONAL ANALYSIS, AND IN SILICO MODELING
Jordan C Langston1, Qingliang Yang2, Mohammad F Kiani
1Department of Bioengineering, Temple University, Philadelphia, Pennsylvania.
Shock (Augusta, Ga.)
|November 15, 2022
Summary
Sepsis presents diverse immune responses, hindering effective treatment. Understanding immune cell dysfunction and applying advanced computational methods can personalize sepsis care.
Area of Science:
- Immunology
- Computational Biology
- Critical Care Medicine
Background:
- Sepsis is a global health crisis and leading cause of hospital mortality.
- Current sepsis treatment is primarily supportive, lacking targeted therapies for its complex pathophysiology.
- The heterogeneous immune response in sepsis, from hyperinflammation to immunosuppression, complicates treatment strategies.
Conclusions:
- The heterogeneity of sepsis is driven by molecular changes affecting leukocyte function.
- In silico modeling and machine learning offer new avenues for precise sepsis patient phenotyping.
- These advancements pave the way for developing targeted therapies and precision medicine approaches for sepsis.
