Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection
Rattachement africain : us, ca, jp, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection
- Date Crossref
- 16/07/2025
- Éditeur
- American Chemical Society (ACS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Quantitative BioSciences pays non établi dans la noticeOrganisation à but non lucratif
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McGill University pays non établi dans la noticeUniversité ou école supérieure
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Jewish General Hospital pays non établi dans la noticeÉtablissement de santé
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University of Wisconsin–Madison pays non établi dans la noticeUniversité ou école supérieure
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University of Toronto pays non établi dans la noticeUniversité ou école supérieure
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Japan Society for the Promotion of Science pays non établi dans la noticeOrganisation à but non lucratif
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Kyoto University pays non établi dans la noticeUniversité ou école supérieure
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McGill Genome Centre pays non établi dans la noticeStructure de recherche
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Second Genome (United States) pays non établi dans la noticeEntreprise
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The University of Tokyo pays non établi dans la noticeUniversité ou école supérieure
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SomaLogic (United States) pays non établi dans la noticeEntreprise
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King's College London pays non établi dans la noticeUniversité ou école supérieure
Quantitative BioSciences, McGill University et Jewish General Hospital, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.