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Updated: Aug 27, 2025

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
Published on: February 16, 2022
Serum biomarkers associated with SARS-CoV-2 severity
Fabiani de Morais Batista1, Marco Antonio Moreira Puga1, Patricia Vieira da Silva1
1School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
This study identified key immune biomarkers in SARS-CoV-2 infection, distinguishing severe from mild cases. Elevated angiogenesis and cardiovascular markers, along with altered cytokines, offer prognostic insights into COVID-19 severity.
Area of Science:
- Immunology
- Virology
- Biomarker Discovery
Background:
- Understanding acute SARS-CoV-2 infection immunity is crucial for differentiating disease severity and identifying prognostic markers.
- Current knowledge gaps exist regarding the immune response profile in mild versus severe COVID-19 cases.
Purpose of the Study:
- To evaluate the immune response profile in patients with SARS-CoV-2 infection.
- To identify and correlate biological marker levels with clinical outcomes (asymptomatic, mild, severe).
- To characterize prognostic signatures for COVID-19 severity.
Main Methods:
- Analysis of 71 biomarkers in serum samples from SARS-CoV-2 positive patients and controls.
- Correlation of biomarker levels with clinical groups: control (C), asymptomatic (A), mild (M), and severe (S).
- Utilized RT-PCR for SARS-CoV-2 confirmation.
Main Results:
- Specific angiogenesis markers were elevated in severe COVID-19 cases compared to other groups.
- Cardiovascular biomarkers including D-dimer, GDF-15, and sICAM-1 were higher in severe cases (S).
- Myoglobin and P-Selectin levels were lower in mild cases (M) compared to severe (S) and asymptomatic (A) groups. Altered cytokine and chemokine profiles were observed in severe cases.
Conclusions:
- Distinct immune response profiles, including angiogenesis, cardiovascular, and cytokine/chemokine markers, are associated with SARS-CoV-2 infection severity.
- Identified biomarkers provide potential prognostic signatures for predicting COVID-19 clinical course.
- Findings contribute to understanding the biological basis of SARS-CoV-2 disease severity.
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