Evidence map›Paper›PMID 35480624›Full record

ArticleCell reports. Medicine2022

Combinatorial analysis reveals highly coordinated early-stage immune reactions that predict later antiviral immunity in mild COVID-19 patients.

Christophe M Capelle, Séverine Ciré, Olivia Domingues, Isabelle Ernens, Fanny Hedin, Aurélie Fischer, Chantal J Snoeck, Wim Ammerlaan, Maria Konstantinou, Kamil Grzyb and 15 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study.International journal of environmental research and public health · 2022
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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

25 authors at 8 institutions in 4 countries.

Christophe M CapelleDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg; Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Séverine CiréDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Olivia DominguesDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Isabelle ErnensDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Fanny HedinNational Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Aurélie FischerDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Chantal J SnoeckDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Wim AmmerlaanIntegrated BioBank of Luxembourg (IBBL), Dudelange, Luxembourg.
Maria KonstantinouNational Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Kamil GrzybLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg.
Alexander SkupinLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg; Department of Neuroscience, University California San Diego, La Jolla, CA, USA.
Cara L CartyAdaptive Biotechnologies, Seattle, WA, USA.
Christiane HilgerDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
Georges GilsonCentre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg.
Aljosa CelebicTranslational Medicine Operations Hub, Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Paul WilmesFaculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg.
Antonio Del SolLuxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg; CIC bioGUNE, Bizkaia Technology Park, Derio, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain.
Ian M KaplanAdaptive Biotechnologies, Seattle, WA, USA.
Fay BetsouIntegrated BioBank of Luxembourg (IBBL), Dudelange, Luxembourg; Laboratoire National de Santé (LNS), Dudelange, Luxembourg.
Tamir AbdelrahmanLaboratoire National de Santé (LNS), Dudelange, Luxembourg.
Antonio CosmaNational Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Michel VaillantTranslational Medicine Operations Hub, Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Guy FagherazziDepartment of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Markus OllertDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg; Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, Odense, Denmark. Electronic address: markus.ollert@lih.lu.
Feng Q HefengDepartment of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg. Electronic address: feng.he@lih.lu.
Luxembourg Institute of Health · LUUniversity of Luxembourg · LUAdaptive Biotechnologies (United States) · USLaboratoire National de Santé · LUCentre Hospitalier de Luxembourg · LUIkerbasque · ESNational Library of Luxembourg · LUUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While immunopathology has been widely studied in patients with severe COVID-19, immune responses in non-hospitalized patients have remained largely elusive. We systematically analyze 484 peripheral cellular or soluble immune features in a longitudinal cohort of 63 mild and 15 hospitalized patients versus 14 asymptomatic and 26 household controls. We observe a transient increase of IP10/CXCL10 and interferon-β levels, coordinated responses of dominant SARS-CoV-2-specific CD4 and fewer CD8 T cells, and various antigen-presenting and antibody-secreting cells in mild patients within 3 days of PCR diagnosis. The frequency of key innate immune cells and their functional marker expression are impaired in hospitalized patients at day 1 of inclusion. T cell and dendritic cell responses at day 1 are highly predictive for SARS-CoV-2-specific antibody responses after 3 weeks in mild but not hospitalized patients. Our systematic analysis reveals a combinatorial picture and trajectory of various arms of the highly coordinated early-stage immune responses in mild COVID-19 patients.

Indexed as

COVID-19Antibodies, ViralCD8-Positive T-LymphocytesHumansSARS-CoV-2Antibodies, Viralcombinatorial analysisCOVID-19early-stage responseimmunologymild patientsnon-hospitalizedpredict antibody levelsSARS-CoV-2systems immunologytransient cytokine response

Identifiers

PMID35480624
PMCPMC8960124
OpenAlexW4220858147

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.