COVID-ONE-hi: The One-stop Database for COVID-19-specific Humoral Immunity and Clinical Parameters

Area of Science:

• Immunology
• Infectious Diseases
• Bioinformatics

Background:

• Coronavirus disease 2019 (COVID-19) exhibits variable symptoms and mortality, influenced by host immune responses.
• Humoral immunity is crucial for SARS-CoV-2 infection and recovery, yet differences in immune profiles among patients are not well understood.

Purpose of the Study:

• To establish a comprehensive database (COVID-ONE-hi) integrating COVID-19-specific humoral immune responses (IgG/IgM) with detailed clinical parameters.
• To provide a user-friendly platform with analysis tools for exploring immune responses and clinical features in COVID-19 patients.

Main Methods:

• Collected 2360 serum samples from 783 COVID-19 patients.
• Assessed IgG/IgM responses against 24 SARS-CoV-2 proteins and 199 spike protein peptides.
• Integrated 96 clinical parameters and patient demographics into the database.

Main Results:

• The COVID-ONE-hi database contains extensive data on IgG/IgM antibody profiles against SARS-CoV-2 antigens.
• Clinical parameters and patient information are linked to immune response data, enabling detailed correlation analysis.
• The database includes a dashboard and analysis pipeline for interactive data exploration and interpretation.

Conclusions:

• COVID-ONE-hi provides a valuable resource for researchers investigating the complexities of humoral immunity in COVID-19.
• Facilitates deeper understanding of the relationship between immune responses and clinical manifestations of SARS-CoV-2 infection.
• The freely accessible database and analysis tools support further research into COVID-19 pathogenesis and patient stratification.