Evidence map›Paper›PMID 34373466›Full record

ArticleNature communications2021

The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients.

Matthieu Perreau, Madeleine Suffiotti, Pedro Marques-Vidal, Aurelie Wiedemann, Yves Levy, Cédric Laouénan, Jade Ghosn, Craig Fenwick, Denis Comte, Thierry Roger and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Impact of Gestational Maternal SARS-CoV-2 Infection on Neonatal Inflammatory Biomarkers.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
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19 more citing papers are in PubMed but not listed here.

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

16 authors at 3 institutions in 2 countries.

Matthieu Perreau *Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Madeleine Suffiotti *Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Pedro Marques-VidalService of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-4548-8500
Aurelie WiedemannVaccine Research Institute, Université Paris-Est, Faculté de Médecine, INSERM U955, Créteil, France.ORCID 0000-0002-4224-3137
Yves LevyVaccine Research Institute, Université Paris-Est, Faculté de Médecine, INSERM U955, Créteil, France.ORCID 0000-0002-5549-6256
Cédric LaouénanAP-HP, Hôpital Bichat, Département Épidémiologie Biostatistiques et Recherche Clinique, INSERM, Centre d'Investigation clinique-Epidémiologie Clinique 1425, Paris, France.
Jade GhosnAP-HP, Hôpital Bichat, Service de Maladies Infectieuses et Tropicales, Paris, France.
Craig FenwickService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Denis ComteService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Thierry RogerService of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-9358-0109
Jean ReginaService of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-2219-9834
Peter VollenweiderService of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Gerard WaeberService of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-4193-788X
Mauro OddoService of Intensive Care, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Thierry CalandraService of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Giuseppe PantaleoService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland. Giuseppe.Pantaleo@chuv.ch.ORCID 0000-0003-3651-2721
University of Lausanne · CHInserm · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the present study was to identify biological signatures of severe coronavirus disease 2019 (COVID-19) predictive of admission in the intensive care unit (ICU). Over 170 immunological markers were investigated in a 'discovery' cohort (n = 98 patients) of the Lausanne University Hospital (LUH-1). Here we report that 13 out of 49 cytokines were significantly associated with ICU admission in the three cohorts (P < 0.05 to P < 0.001), while cellular immunological markers lacked power in discriminating between ICU and non-ICU patients. The cytokine results were confirmed in two 'validation' cohorts, i.e. the French COVID-19 Study (FCS; n = 62) and a second LUH-2 cohort (n = 47). The combination of hepatocyte growth factor (HGF) and C-X-C motif chemokine ligand 13 (CXCL13) was the best predictor of ICU admission (positive and negative predictive values ranging from 81.8% to 93.1% and 85.2% to 94.4% in the 3 cohorts) and occurrence of death during patient follow-up (8.8 fold higher likelihood of death when both cytokines were increased). Of note, HGF is a pleiotropic cytokine with anti-inflammatory properties playing a fundamental role in lung tissue repair, and CXCL13, a pro-inflammatory chemokine associated with pulmonary fibrosis and regulating the maturation of B cell response. Up-regulation of HGF reflects the most powerful counter-regulatory mechanism of the host immune response to antagonize the pro-inflammatory cytokines including CXCL13 and to prevent lung fibrosis in COVID-19 patients.

Indexed as

BiomarkersCD4-Positive T-LymphocytesChemokine CXCL13COVID-19CytokinesHepatocyte Growth FactorHospitalizationHumansIntensive Care UnitsPulmonary FibrosisSARS-CoV-2Severity of Illness IndexBiomarkersChemokine CXCL13CXCL13 protein, humanCytokinesHepatocyte Growth FactorHGF protein, human

Identifiers

PMID34373466
PMCPMC8352963
OpenAlexW3192551599

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.