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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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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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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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Updated: Jan 16, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
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Published on: February 7, 2025

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A consensus blood transcriptomic framework for sepsis.

Brendon P Scicluna1,2,3, Kiki Cano-Gamez4, Katie L Burnham5

  • 1Department of Applied Biomedical Science, Faculty of Health Sciences, Mater Dei hospital, University of Malta, Msida, Malta. brendon.scicluna@um.edu.mt.

Nature Medicine
|October 1, 2025
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Summary
This summary is machine-generated.

Researchers developed a sepsis transcriptomic subtype model using data from two cohorts, identifying three consensus transcriptomic subtypes (CTSs) with distinct biological signatures. This robust framework aids sepsis research and precision medicine.

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Area of Science:

  • Genomics and Transcriptomics
  • Infectious Diseases and Immunology
  • Critical Care Medicine

Background:

  • Sepsis is a life-threatening condition resulting from a dysregulated host response to infection.
  • Existing sepsis classifications lack standardization, hindering research and clinical application.
  • Blood transcriptomics offers a molecular window into host response during sepsis.

Purpose of the Study:

  • To establish a standardized blood transcriptomic subtype model for sepsis.
  • To identify and characterize distinct transcriptomic subtypes within sepsis patients.
  • To validate the robustness of the proposed classification in independent cohorts.

Main Methods:

  • Aggregated blood transcriptomics data from the MARS and GAinS sepsis cohorts.
  • Employed three independent classification methods to identify consensus transcriptomic subtypes (CTSs).
  • Validated CTS classification using data from the VANISH trial and a Ugandan cohort.

Main Results:

  • Identified three consensus transcriptomic subtypes (CTSs): CTS1 (inflammatory/neutrophil), CTS2 (heme/platelet/eosinophil), and CTS3 (allograft rejection/interferon/lymphocyte).
  • CTS classification demonstrated robustness across independent patient cohorts.
  • A post hoc analysis revealed potential harm from corticosteroids in CTS2 patients.

Conclusions:

  • The CTS classification provides a reproducible framework for understanding sepsis heterogeneity.
  • This model facilitates biological interpretation and can inform precision medicine strategies in sepsis.
  • Findings suggest potential differential treatment responses based on transcriptomic subtypes.