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Article Dans Une Revue Nature Communications Année : 2021

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

Matthieu Perreau
  • Fonction : Auteur
Madeleine Suffiotti
  • Fonction : Auteur
Pedro Marques-Vidal
Cédric Laouénan
  • Fonction : Auteur
Jade Ghosn
  • Fonction : Auteur
Craig Fenwick
  • Fonction : Auteur
Denis Comte
  • Fonction : Auteur
Thierry Roger
Jean Regina
Peter Vollenweider
  • Fonction : Auteur
Gerard Waeber
Mauro Oddo
  • Fonction : Auteur
Thierry Calandra
  • Fonction : Auteur
Giuseppe Pantaleo

Résumé

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.

Domaines

Immunologie

Dates et versions

hal-04374118 , version 1 (05-01-2024)

Identifiants

Citer

Matthieu Perreau, Madeleine Suffiotti, Pedro Marques-Vidal, Aurelie Wiedemann, Yves Levy, et al.. The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients. Nature Communications, 2021, 12 (1), pp.4888. ⟨10.1038/s41467-021-25191-5⟩. ⟨hal-04374118⟩

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