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

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Published on: February 16, 2022

Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection.

Vinicius S Lima¹, Sinara T B Morais², Vinicius G Ferreira^2,3

¹Programa de Pós-Graduação em Medicina Translacional, Departamento de Medicina, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil.

|November 25, 2024

Summary

This summary is machine-generated.

Metabolomic analysis reveals distinct metabolic profiles in COVID-19 patients, correlating with disease severity. Phenylalanine and lipid metabolism changes may predict severe outcomes and organ complications.

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Area of Science:

Biochemistry
Infectious Diseases
Metabolomics

Background:

The SARS-CoV-2 (COVID-19) pandemic continues, with new variants posing ongoing risks.
COVID-19 presents with a spectrum of symptoms, from mild to severe, affecting vital organs.
Subclinical metabolic alterations occur during viral infection and can indicate disease severity.

Purpose of the Study:

To investigate metabolomic profiles in patients with varying COVID-19 severity.
To identify metabolic biomarkers for predicting COVID-19 severity and prognosis.

Main Methods:

Metabolomic profiling of mild, moderate, and severe COVID-19 patient samples.
Utilized multiple platforms including Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) and Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS).

Main Results:

Identified a strong association between phenylalanine metabolism and increased COVID-19 severity, linked to cardiac and neurological issues.
Observed linear dysregulation in glycerophospholipid and sphingolipid metabolism with increasing symptom severity.
These metabolic changes may relate to viral proliferation, immune evasion, and apoptosis resistance.

Conclusions:

Metabolomic profiles offer insights into COVID-19 pathogenesis and severity.
Phenylalanine, glycerophospholipid, and sphingolipid metabolic pathways are potential indicators for patient prognosis.
Further research into these metabolic pathways could aid in developing predictive tools for COVID-19 severity.