A serum proteome signature to predict mortality in severe COVID-19 patients

نویسندگان

چکیده

Here, we recorded serum proteome profiles of 33 severe COVID-19 patients admitted to respiratory and intensive care units because failure. We received, for most patients, blood samples just after admission at two more later time points. With the aim predict treatment outcome, focused on proteins different in abundance between group survivors non-survivors. observed that a small panel about dozen were significantly these groups. The four structurally functionally related type-3 cystatins AHSG, FETUB, histidine-rich glycoprotein, KNG1 all abundant survivors. family inter-α-trypsin inhibitors, ITIH1, ITIH2, ITIH3, ITIH4, found be differentially non-survivors, whereby ITIH1 ITIH2 survivor ITIH3 ITIH4 ITIH1/ITIH2 ITIH3/ITIH4 also showed opposite trends protein during disease progression. defined an optimal nine mortality risk assessment. prediction power this was evaluated against recent proteomics studies independent cohorts measured other laboratories countries perform very well predicting cohorts. This may not unique as some have previously been annotated markers aging diseases caused by pathogens, including bacteria.

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ژورنال

عنوان ژورنال: Life science alliance

سال: 2021

ISSN: ['2575-1077']

DOI: https://doi.org/10.26508/lsa.202101099