Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression
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Published on: October 20, 2020
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.
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.
Abstract:
In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early potential prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. Our findings provide some new insights into host response to SARS-CoV-2 infection, which are valuable for understanding of COVID-19 disease progression. This study also identified potential biomarkers that could be further validated, which may support better predicting and monitoring progression to severe COVID-19.
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