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Related Concept Videos

Proteomics01:33

Proteomics

7.9K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.9K
Composition of Blood Plasma01:24

Composition of Blood Plasma

4.8K
Blood plasma is a fluid that contains approximately 92% water and 8% solutes. The solutes include various types of proteins, which constitute about 7% of the total solutes in the plasma. The high-molecular-weight proteins—albumins, globulins, and fibrinogen—are essential to plasma function. Albumins, making up about 60% of the plasma proteins, maintain the osmotic balance within blood vessels by preventing excessive water leakage. Additionally, albumins serve as carrier proteins,...
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Related Experiment Video

Updated: Sep 9, 2025

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
05:30

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies

Published on: January 31, 2025

604

Plasma proteomics identifies molecular subtypes in sepsis.

Thilo Bracht1,2, Kerstin Kappler3,4, Malte Bayer3,5

  • 1Knappschaft Kliniken Universitätsklinikum Bochum, Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Ruhr University Bochum, Bochum, Germany. thilo.bracht@ruhr-uni-bochum.de.

Critical Care (London, England)
|September 2, 2025
PubMed
Summary

This study identified four sepsis subtypes using plasma proteomics, revealing distinct molecular features and immune responses. These subtypes aid in developing targeted therapies and personalized medicine for sepsis patients.

Keywords:
Clinical routine dataHierarchical clusteringMachine learningPlasmaPrecision medicineSepsisSubclasses

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Related Experiment Videos

Last Updated: Sep 9, 2025

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Area of Science:

  • Proteomics
  • Immunology
  • Personalized Medicine

Background:

  • Sepsis heterogeneity complicates personalized therapy development.
  • Proteomics offers molecular insights for sepsis subtyping.
  • Previous subtyping lacked sufficient molecular understanding.

Purpose of the Study:

  • To characterize sepsis plasma proteome subtypes.
  • To provide molecular and mechanistic insights into sepsis heterogeneity.
  • To enable personalized sepsis treatment strategies.

Main Methods:

  • Analysis of plasma samples from 333 sepsis patients using liquid chromatography-tandem mass spectrometry.
  • Identification of subtypes via K-means clustering.
  • Characterization using clinical data, cytokine measurements, and proteomics.
  • Development of a random forest classifier for subtype assignment.

Main Results:

  • Four sepsis proteome subtypes identified, correlating with severity and mortality.
  • Distinct molecular features and immune responses characterized each subtype.
  • Cluster 1 showed adaptive immune activation (elevated immunoglobulin levels).
  • Cluster 2 exhibited acute inflammation with low immunoglobulin levels.
  • A 10-protein classifier accurately assigned patients to subtypes.

Conclusions:

  • Plasma proteome subtypes offer insights into sepsis mechanisms and immune responses.
  • Subtypes facilitate targeted therapeutic development and personalized medicine.
  • The findings support predictive enrichment in clinical trials for sepsis.