Evidence map›Paper›PMID 35145507›Full record

ArticleFrontiers in immunology2021

Identification of Robust Protein Associations With COVID-19 Disease Based on Five Clinical Studies.

Karsten Suhre, Hina Sarwath, Rudolf Engelke, Muhammad Umar Sohail, Soo Jung Cho, William Whalen, Sergio Alvarez-Mulett, Jan Krumsiek, Augustine M K Choi, Frank Schmidt

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.2field-weighted citation impact, top 4% of its field
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

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
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  7. IL-24 in COVID-19 Patients: Correlations with Disease Progression.International journal of molecular sciences · 2025
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  15. Macrophage Activation Syndrome in the Setting of Rheumatic Diseases.Advances in experimental medicine and biology · 2024
    Review
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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

10 authors at 3 institutions in 2 countries.

Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Hina SarwathProteomics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Rudolf EngelkeProteomics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Muhammad Umar SohailProteomics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Soo Jung ChoDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY, United States.
William WhalenDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY, United States.
Sergio Alvarez-MulettDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY, United States.
Jan KrumsiekDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States.
Augustine M K ChoiDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY, United States.
Frank SchmidtProteomics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Weill Cornell Medical College in Qatar · QAWeill Cornell Medicine · USCornell University · US

Funding

Multidisciplinary Approach Training in Respiratory ResearchT32HL134629 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Robert J Kaner, Heather Winona Stout Delgado · 2018 to 2026
$5.2M
NHLBI NIH HHS T32 HL134629
6 · The paper itself

Abstract

Multiple studies have investigated the role of blood circulating proteins in COVID-19 disease using the Olink affinity proteomics platform. However, study inclusion criteria and sample collection conditions varied between studies, leading to sometimes incongruent associations. To identify the most robust protein markers of the disease and the underlying pathways that are relevant under all conditions, it is essential to identify proteins that replicate most widely. Here we combined the Olink proteomics profiles of two newly recruited COVID-19 studies (N=68 and N=98) with those of three previously published COVID-19 studies (N=383, N=83, N=57). For these studies, three Olink panels (Inflammation and Cardiovascular II & III) with 253 unique proteins were compared. Case/control analysis revealed thirteen proteins (CCL16, CCL7, CXCL10, CCL8, LGALS9, CXCL11, IL1RN, CCL2, CD274, IL6, IL18, MERTK, IFNγ, and IL18R1) that were differentially expressed in COVID-19 patients in all five studies. Except CCL16, which was higher in controls, all proteins were overexpressed in COVID-19 patients. Pathway analysis revealed concordant trends across all studies with pathways related to cytokine-cytokine interaction, IL18 signaling, fluid shear stress and rheumatoid arthritis. Our results reaffirm previous findings related to a COVID-19 cytokine storm syndrome. Cross-study robustness of COVID-19 specific protein expression profiles support the utility of affinity proteomics as a tool and for the identification of potential therapeutic targets.

Indexed as

AgedBiomarkersBlood ProteinsCOVID-19Cytokine Release SyndromeCytokinesFemaleGene Expression ProfilingHumansInflammationMaleMiddle AgedProteomicsSARS-CoV-2Signal TransductionTranscriptomeBiomarkersBlood ProteinsCytokinesCCL16COVID-19CXCL10cytokine storm syndromeIL18IL6inflammation and cardiovascular markersOlink proteomics

Identifiers

PMID35145507
PMCPMC8821526
OpenAlexW4206921466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.