Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression

Jee-Soo Lee1, Dohyun Han2, So Yeon Kim3

  • 1Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.

Proteomics
|May 4, 2021
PubMed

Insights

This study identified novel protein biomarkers, including IGLV3-19 and BNC2, for early prediction of severe coronavirus disease 2019 (COVID-19). These markers, along with 40 others, help monitor disease progression and host response to SARS-CoV-2 infection.

Area of Science:

  • Proteomics
  • Infectious Diseases
  • Immunology

Background:

  • Early identification of severe coronavirus disease 2019 (COVID-19) is crucial for patient management.
  • Understanding proteome dynamics during COVID-19 progression is essential for developing prognostic tools.

Purpose of the Study:

  • To identify early protein biomarkers for predicting severe COVID-19.
  • To analyze proteomic changes during disease progression in COVID-19 patients.

Main Methods:

  • In-depth proteome profiling of 137 serum samples from 25 COVID-19 patients.
  • Longitudinal sample collection from non-severe and severe COVID-19 cases.

Main Results:

  • Identified 11 potential early prognostic biomarkers for severe COVID-19, including novel markers IGLV3-19 and BNC2.
  • Discovered 40 proteins with persistent longitudinal changes reflecting disease progression.
  • Biomarkers are involved in immune response, interferon signaling, acute phase response, lipid metabolism, and platelet degranulation.

Conclusions:

  • The identified biomarkers offer potential for early prediction and monitoring of severe COVID-19 progression.
  • Findings provide insights into host responses to SARS-CoV-2 infection.
  • Further validation of these biomarkers may improve clinical management of COVID-19.