Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection

COVID-19 led to a disruption in nearly all aspects of society, yet these impacts were not the same across populations. During the pandemic, it became apparent that ancestry was associated with COVID-19 severity and morbidity. This study examines the differential circulating protein levels between three continental ancestries in response to severe COVID-19 infection. 4979 circulating proteins from 1272 samples were measured using the SomaScan platform. We used a linear mixed model to assess the ancestry-specific association between protein levels and severe COVID-19 illness. Comparing ancestries, we found that 62% of the tested proteins are associated with severe COVID-19 infectionin European-ancestry individuals, compared to 45% and 22% of the tested proteins between COVID-19-infected and control individuals in people of African and East Asian ancestry, respectively, likely reflecting differences in sample sizes. We found that all ancestries had strong correlations between each other with individuals of European and African ancestry having the most similar response and European and East Asian ancestries having the least similar. However, we did find 39 unique proteins that responded differently (FDR <0.05) between the three ancestries. These proteins could be investigated to assess whether they explain the differences in observed severity of COVID-19 between ancestral populations.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-07-16
DOI
https://doi.org/10.1021/acs.jproteome.4c00956
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
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article

Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection

Tianyuan Lu, J. Brent Richards, Darin Adra, Tomoko Nakanishi et al.
Journal of Proteome Research
SARS-CoV-2 and COVID-19 Research
article

Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection

Tianyuan Lu, J. Brent Richards, Darin Adra, Tomoko Nakanishi, Thomas M Zheng, David Morrison, Guillaume Butler‐Laporte, Yann Ilboudo, Lena Cuddeback
article en

Abstract

COVID-19 led to a disruption in nearly all aspects of society, yet these impacts were not the same across populations. During the pandemic, it became apparent that ancestry was associated with COVID-19 severity and morbidity. This study examines the differential circulating protein levels between three continental ancestries in response to severe COVID-19 infection. 4979 circulating proteins from 1272 samples were measured using the SomaScan platform. We used a linear mixed model to assess the ancestry-specific association between protein levels and severe COVID-19 illness. Comparing ancestries, we found that 62% of the tested proteins are associated with severe COVID-19 infectionin European-ancestry individuals, compared to 45% and 22% of the tested proteins between COVID-19-infected and control individuals in people of African and East Asian ancestry, respectively, likely reflecting differences in sample sizes. We found that all ancestries had strong correlations between each other with individuals of European and African ancestry having the most similar response and European and East Asian ancestries having the least similar. However, we did find 39 unique proteins that responded differently (FDR <0.05) between the three ancestries. These proteins could be investigated to assess whether they explain the differences in observed severity of COVID-19 between ancestral populations.

Journal of Proteome ResearchVol. 24(8)
University of Wisconsin–Madison (US), King's College London (GB), University of Toronto (CA), Japan Society for the Promotion of Science (JP), Kyoto University (JP), Jewish General Hospital (CA), Five Prime Therapeutics (United States) (US), SomaLogic (United States) (US), Quantitative BioSciences (US), McGill Genome Centre (CA), Second Genome (United States) (US), McGill University (CA), The University of Tokyo (JP)
Openalex Percentile: Top 78%
SARS-CoV-2 and COVID-19 Research
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