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Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection
Thomas M Zheng1, Yann Ilboudo2, Tianyuan Lu3,4,5
1Quantitative Life Sciences, McGill University, Montréal, Quebec H3A 1B9, Canada.
Journal of Proteome Research
|July 16, 2025
Summary
Severe COVID-19 impacts protein levels differently across ancestries. This study identified 39 unique proteins that may explain variations in disease severity among European, African, and East Asian populations.
Area of Science:
- Immunology
- Genetics
- Epidemiology
Background:
- The COVID-19 pandemic revealed disparities in disease severity and outcomes across different ancestral populations.
- Pre-existing evidence suggests a link between an individual's ancestry and their susceptibility and response to severe COVID-19 infection.
Purpose of the Study:
- To investigate differential circulating protein level responses to severe COVID-19 infection across three continental ancestries.
- To identify specific proteins that may account for observed differences in COVID-19 severity among ancestral groups.
Main Methods:
- Utilized the SomaScan platform to measure 4979 circulating proteins from 1272 patient samples.
- Employed a linear mixed-effects model to analyze ancestry-specific associations between protein levels and severe COVID-19 illness.
Main Results:
- A higher percentage of proteins were associated with severe COVID-19 in European-ancestry individuals (62%) compared to African (45%) and East Asian (22%) ancestries, potentially due to sample size variations.
- While protein responses showed strong correlations across ancestries, 39 unique proteins exhibited differential responses (False Discovery Rate <0.05) between the three groups.
- Individuals of European and African ancestry displayed the most similar protein responses, while European and East Asian ancestries showed the least similarity.
Conclusions:
- Circulating protein profiles in response to severe COVID-19 vary significantly across continental ancestries.
- The identified 39 differentially responding proteins represent potential biomarkers for understanding ancestry-related COVID-19 severity disparities.
- Further research into these unique proteins could elucidate mechanisms underlying differential disease outcomes and inform targeted public health strategies.
Keywords:
BQC19COVID-19COVID-19 responseancestryancestry differenceshigh-throughput proteomicslinear mixed modelsproteomics
