COVIDpro: Database for Mining Protein Dysregulation in Patients with COVID-19

doi:10.1021/acs.jproteome.3c00092

COVIDpro: Database for Mining Protein Dysregulation in Patients with COVID-19

2023-08-09

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DOI：10.1021/acs.jproteome.3c00092

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The ongoing pandemic of the coronavirus disease 2019(COVID-19)caused by the severe acute respiratory syndrome coronavirus 2 stillhas limited treatment options. Our understanding of the moleculardysregulations that occur in response to infection remains incomplete.We developed a web application COVIDpro (https://www.guomics.com/covidPro/) that includes proteomics data obtained from 41 original studiesconducted in 32 hospitals worldwide, involving 3077 patients and covering19 types of clinical specimens, predominantly plasma and serum. Thedata set encompasses 53 protein expression matrices, comprising atotal of 5434 samples and 14,403 unique proteins. We identified apanel of proteins that exhibit significant dysregulation, enablingthe classification of COVID-19 patients into severe and non-severedisease categories. The proteomic signatures achieved promising resultsin distinguishing severe cases, with a mean area under the curve of0.87 and accuracy of 0.80 across five independent test sets. COVIDproserves as a valuable resource for testing hypotheses and exploringpotential targets for novel treatments in COVID-19 patients.

Keywords:

mass spectrometry

proteomics

COVID-19

SARS-CoV-2

meta-analysis

clinical samples

drug targets

biomarkers

protein expressiondatabase

R Shiny

COVIDpro: Database for Mining Protein Dysregulation in Patients with COVID-19

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