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Related Concept Videos

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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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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Conjugated Proteins02:50

Conjugated Proteins

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Simple proteins and protein complexes contain only amino acids. In contrast, many other proteins, called conjugated proteins, covalently bond with non-protein moieties.
Nucleoproteins are protein complexes that contain nucleic acids, categorized as deoxyribonucleoproteins (DNPs) or ribonucleoproteins (RNPs) respectively. The nucleosome is a typical example of a DNP where nuclear DNA is associated with histone proteins. The major antigen for the Covid-19 virus SARS-CoV is an RNP that is critical...
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Related Experiment Video

Updated: Aug 2, 2025

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
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Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

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Circulating proteins to predict COVID-19 severity.

Chen-Yang Su1,2,3, Sirui Zhou1,4, Edgar Gonzalez-Kozlova5

  • 1Lady Davis Institute for Medical Research, Jewish General Hospital, Pavilion H-413, 3755 Côte-Ste-Catherine Montréal, Montreal, QC, H3T 1E2, Canada.

Scientific Reports
|April 17, 2023
PubMed
Summary
This summary is machine-generated.

Predicting COVID-19 severity is challenging. Measuring circulating proteins can accurately predict disease severity, improving upon models based solely on age and sex.

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Area of Science:

  • Proteomics
  • Immunology
  • Disease Prediction

Background:

  • Predicting COVID-19 severity remains difficult.
  • Underlying biological pathways are not fully understood.

Purpose of the Study:

  • To identify circulating proteins that can predict COVID-19 severity.
  • To develop and validate prediction models for COVID-19 severity.

Main Methods:

  • Measured 4701 circulating human protein abundances in 986 individuals across two cohorts.
  • Trained prediction models using protein abundances and clinical factors.
  • Validated models in a separate cohort of 569 individuals.

Main Results:

  • A baseline model (age, sex) achieved 65% AUC for severe COVID-19 prediction in the test cohort.
  • A model including 92 proteins improved AUC to 86% in the test cohort, demonstrating good generalizability.
  • Selected proteins were enriched in cytokine pathways, but also non-immune pathways.

Conclusions:

  • Circulating proteins measured early in disease progression are accurate predictors of COVID-19 severity.
  • Protein-based models significantly enhance prediction accuracy compared to clinical factors alone.
  • Further research is needed to integrate protein measurements into clinical practice.