A Reduced Proteomic Signature in Critically Ill Covid-19 Patients Determined With Plasma Antibody Micro-array and Machine Learning
Maitray A. Patel,
Mark Daley,
Logan R. Nynatten
et al.
Abstract:Background: COVID-19 is a complex, multi-system disease with varying severity and symptoms. Identifying changes in critically ill COVID-19 patients’ proteomes enables a better understanding of markers associated with susceptibility, symptoms, and treatment. We performed plasma antibody microarray and machine learning analyses to identify novel biomarkers of COVID-19.
Methods: A case-control study comparing the concentration of 2000 plasma proteins in age- and sex-matched COVID-19 inpatients, non-COVID-19 sepsi… Show more
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