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Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease

Medicine and Health

Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease

K. Hufnagel, A. Fathi, et al.

This groundbreaking study by Katrin Hufnagel and her team uncovers plasma protein biomarkers that could forecast the progression of COVID-19 to severe illness during its early stages. Through innovative antibody microarrays and machine learning, they identified multi-marker panels that hold promise for timely patient interventions.

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Playback language: English
Abstract
This study aimed to identify plasma protein biomarkers that can predict the progression of COVID-19 to severe disease in its early stages. Using antibody microarrays, the researchers analyzed plasma samples from two independent cohorts of COVID-19 patients. Eleven promising protein biomarker candidates were identified, and machine learning analysis selected several multi-marker panels with sufficient accuracy for potential clinical application. These biomarkers could help identify high-risk patients for early intervention with treatments like neutralizing antibodies or antivirals.
Publisher
Communications Medicine
Published On
Apr 27, 2023
Authors
Katrin Hufnagel, Anahita Fathi, Nadine Stroh, Marco Klein, Florian Skwirtblies, Ramy Girgis, Christine Dahlke, Jörg D. Hoheisel, Camille Lowy, Ronny Schmidt, Anne Griesbeck, Uta Merle, Marylyn M. Addo, Christoph Schröder
Tags
COVID-19
biomarkers
plasma proteins
machine learning
early intervention
neutralizing antibodies
severe disease
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