Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications

Nat Commun. 2022 Feb 17;13(1):946. doi: 10.1038/s41467-022-28639-4.

Abstract

COVID-19 complications still present a huge burden on healthcare systems and warrant predictive risk models to triage patients and inform early intervention. Here, we profile 893 plasma proteins from 50 severe and 50 mild-moderate COVID-19 patients, and 50 healthy controls, and show that 375 proteins are differentially expressed in the plasma of severe COVID-19 patients. These differentially expressed plasma proteins are implicated in the pathogenesis of COVID-19 and present targets for candidate drugs to prevent or treat severe complications. Based on the plasma proteomics and clinical lab tests, we also report a 12-plasma protein signature and a model of seven routine clinical tests that validate in an independent cohort as early risk predictors of COVID-19 severity and patient survival. The risk predictors and candidate drugs described in our study can be used and developed for personalized management of SARS-CoV-2 infected patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Blood Proteins / analysis*
  • COVID-19 / mortality*
  • COVID-19 / pathology*
  • COVID-19 Drug Treatment
  • Cytokines / blood
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Proteomics / methods
  • SARS-CoV-2 / drug effects
  • Severity of Illness Index*
  • Young Adult

Substances

  • Blood Proteins
  • Cytokines