Evidence map›Paper›PMID 36522333›Full record

ArticleNature communications2022

Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence.

Jack S Gisby, Norzawani B Buang, Artemis Papadaki, Candice L Clarke, Talat H Malik, Nicholas Medjeral-Thomas, Damiola Pinheiro, Paige M Mortimer, Shanice Lewis, Eleanor Sandhu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Proteomic Insights into Venous Thromboembolism.Medical sciences (Basel, Switzerland) · 2026
    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

17 authors at 3 institutions in 1 country.

Jack S Gisby *Centre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.ORCID 0000-0003-0511-8123
Norzawani B Buang *Centre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.ORCID 0000-0003-4897-5379
Artemis PapadakiCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Candice L ClarkeCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Talat H MalikCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Nicholas Medjeral-ThomasCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Damiola PinheiroCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Paige M MortimerCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Shanice LewisCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Eleanor SandhuCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Stephen P McAdooCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Maria F PrendeckiCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.ORCID 0000-0001-7048-7457
Michelle WillicombeCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.
Matthew C PickeringCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.ORCID 0000-0002-1153-0192
Marina BottoCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK.ORCID 0000-0002-1458-3791
David C ThomasCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK. david.thomas1@imperial.ac.uk.ORCID 0000-0002-9738-2329
James E PetersCentre for Inflammatory Disease, Dept of Immunology and Inflammation, Imperial College London, London, UK. j.peters@imperial.ac.uk.ORCID 0000-0002-9415-3440
Imperial College London · GBImperial College Healthcare NHS Trust · GBCentre for Inflammation Research · GB

Funding

Department of HealthMedical Research Council MR/S004068/2Medical Research Council MR/V027638/1Wellcome Trust 20661206617/A/17/ZWellcome Trust 206617/A/17/AWellcome Trust 212252/Z/18/Z
6 · The paper itself

Abstract

Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. Here, we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19, collecting samples pre-infection, serially during infection, and after clinical recovery. Using plasma proteomics, and RNA-sequencing and flow cytometry of immune cells, we identify transcriptomic and proteomic signatures of COVID-19 severity, and find distinct temporal molecular profiles in patients with severe disease. Supervised learning reveals that the plasma proteome is a superior indicator of clinical severity than the PBMC transcriptome. We show that a decreasing trajectory of plasma LRRC15, a proposed co-receptor for SARS-CoV-2, is associated with a more severe clinical course. We observe that two months after the acute infection, patients still display dysregulated gene expression related to vascular, platelet and coagulation pathways, including PF4 (platelet factor 4), which may explain the prolonged thrombotic risk following COVID-19.

Indexed as

ConvalescenceCOVID-19ThrombosisHumansLeukocytes, MononuclearMembrane ProteinsMultiomicsProteomicsSARS-CoV-2LRRC15 protein, humanMembrane Proteins

Identifiers

PMID36522333
PMCPMC9753891
OpenAlexW4311547974

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.