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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...

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Related Experiment Video

Updated: Jun 22, 2026

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
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Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

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New and Emerging Research Models for Sepsis.

Saichaitanya Nallajennugari1, Xiang Li1, Mingui Fu1

  • 1Department of Biomedical Science, Shock/Trauma Research Center, School of Medicine, University of Missouri Kansas City, Kansas City, MO 64108, USA.

Cells
|February 26, 2026
PubMed
Summary

Developing better sepsis research models is crucial due to the complexity of human sepsis. This review explores new models like in vitro systems, tailored animal models, and AI to improve sepsis understanding and treatment.

Keywords:
animal modelsimmune responseinfectionorgan-on-chipsepsis

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Area of Science:

  • Sepsis Pathogenesis and Research Models
  • Translational Medicine in Critical Care

Background:

  • Human sepsis presents diverse phenotypes, complicating animal model development.
  • Existing animal models offer insights but face questioned translational value due to clinical trial failures.

Purpose of the Study:

  • To review recent advances in novel sepsis research models.
  • To discuss the strengths and limitations of emerging models for sepsis research.

Main Methods:

  • Review of human-based in vitro systems.
  • Analysis of highly tailored animal models.
  • Exploration of AI and digital models for patient stratification and outcome prediction.
  • Examination of the FAMOUS framework for targeted therapy testing.

Main Results:

  • Emerging models include in vitro systems, refined animal models, and AI-driven approaches.
  • These models aim to better reflect sepsis complexity and improve therapeutic development.
  • The FAMOUS framework offers a structured approach to testing sepsis therapies.

Conclusions:

  • New and emerging research models are essential for advancing sepsis understanding and treatment.
  • Addressing limitations of current models is critical for improving translational success in sepsis research.
  • Future directions involve integrating diverse models for comprehensive sepsis investigation.