Predicting the severity of COVID-19 patients using the CD24-CSF1R index in whole blood samples.

ABSTRACT: Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has become one of the most serious public health crises worldwide. Most infected people are asymptomatic but are still able to spread the virus. People with mild or moderate illnesses are likely to recover without hospitalization, while critically ill patients face a higher risk of organ injury or even death. In this study, we aimed to identify a novel biomarker that can predict the severity of COVID-19 patients. Clinical information and RNA-seq data of leukocytes from whole blood samples with and without a COVID-19 diagnosis (n = 100 and 26, respectively) were retrieved from the National Center for Biotechnology Information Gene Expression Omnibus database. Raw data were processed using the Transcripts Per Million (TPM) method and

SUBMITTER: Nguyen Thanh D 

PROVIDER: S-EPMC9946875 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature