Evidence map›Paper›PMID 40668858›Full record

ArticleJournal of proteome research2025

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

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

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Thomas M ZhengQuantitative Life Sciences, McGill University, Montréal, Quebec H3A 1B9, Canada.
Yann IlboudoLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Quebec H3T 1E1, Canada.
Tianyuan LuDepartment of Statistics, University of Toronto, Toronto, Ontario M5G 1X6, Canada.
Guillaume Butler-LaporteLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Quebec H3T 1E1, Canada.
Tomoko NakanishiLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Quebec H3T 1E1, Canada.
David MorrisonLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Quebec H3T 1E1, Canada.
Darin AdraLady Davis Institute, Jewish General Hospital, McGill University, Montréal, Quebec H3T 1E1, Canada.
Lena CuddebackSomaLogic, Inc., Boulder, Colorado 80301, United States.
J Brent RichardsQuantitative Life Sciences, McGill University, Montréal, Quebec H3A 1B9, Canada.ORCID 0000-0002-3746-9086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Asian PeopleBlack PeopleBlood ProteinsCOVID-19ProteomeWhite PeopleFemaleHumansMaleMiddle AgedProteomicsSARS-CoV-2Severity of Illness IndexBlood ProteinsProteomeancestryancestry differencesBQC19COVID-19COVID-19 responsehigh-throughput proteomicslinear mixed modelsproteomics

Identifiers

PMID40668858
PMCPMC12323771

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.