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Related Experiment Video

Updated: May 27, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

Age- and sex-dependent transcriptomic network alterations in sepsis.

Collins K Boahen1,2, Andrian Fratea3,4, Anca-Lelia Riza3,4,5

  • 1Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands. wise_coleman@yahoo.com.

Npj Aging
|May 25, 2026
PubMed
Summary

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Acute inflammation produces a coordinated set of local and systemic changes that limit injury, eliminate pathogens, and initiate repair. These responses arise within minutes of infection, trauma, or chemical insult and are driven by vascular alterations and leukocyte-derived mediators. When the stimulus resolves, the reaction typically abates within days.Local EffectsAt the site of injury, arteriolar vasodilation increases blood flow, resulting in redness and warmth. Simultaneously, increased...

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Sepsis involves immune dysregulation. This study reveals how age and sex reshape gene networks in sepsis patients, impacting diagnosis and treatment strategies.

Area of Science:

  • Genomics
  • Immunology
  • Systems Biology

Background:

  • Sepsis is a life-threatening condition with high mortality, characterized by dysregulated immune responses to infection.
  • Nonspecific symptoms and complex molecular underpinnings of sepsis hinder early diagnosis and effective therapeutic development.
  • The influence of host factors like age and sex on sepsis heterogeneity remains unclear.

Purpose of the Study:

  • To investigate the preservation and reorganization of baseline gene co-expression networks in sepsis.
  • To determine how age and sex influence these gene networks during sepsis.
  • To identify potential demographic-aware biomarkers for sepsis diagnosis and treatment.

Main Methods:

  • Analysis of RNA sequencing data from Peripheral Blood Mononuclear Cells (PBMCs) of healthy and sepsis-affected individuals.

Related Experiment Videos

Last Updated: May 27, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

  • Identification and characterization of co-expression gene modules.
  • Association analysis of gene modules and hub genes with clinical data (age, sex, sepsis status).

    • Main Results:

    • Sixteen co-expression modules were identified in healthy controls, with most preserved in sepsis.
    • Four modules showed disrupted organization in sepsis, indicating selective network reprogramming.
    • A specific 'green' module strongly associated with age, sex, and sepsis, containing key age- and sex-associated hub genes, enabled high diagnostic accuracy (AUC=0.988) via a multigene model.

    Conclusions:

    • Age and sex significantly shape the molecular architecture of sepsis by influencing gene co-expression networks.
    • Network reprogramming in sepsis involves pathways related to chromatin remodeling, DNA repair, and immune responses, aligning with aging hallmarks.
    • Demography-aware approaches are crucial for understanding sepsis biology and developing precision diagnostics and therapeutics.