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The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients.
Perreau, Matthieu; Suffiotti, Madeleine; Marques-Vidal, Pedro; Wiedemann, Aurelie; Levy, Yves; Laouénan, Cédric; Ghosn, Jade; Fenwick, Craig; Comte, Denis; Roger, Thierry; Regina, Jean; Vollenweider, Peter; Waeber, Gerard; Oddo, Mauro; Calandra, Thierry; Pantaleo, Giuseppe.
  • Perreau M; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Suffiotti M; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Marques-Vidal P; Service of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Wiedemann A; Vaccine Research Institute, Université Paris-Est, Faculté de Médecine, INSERM U955, Créteil, France.
  • Levy Y; Assistance Publique-Hôpitaux de Paris, Groupe Henri-Mondor Albert-Chenevier, Service d'Immunologie Clinique, Créteil, France.
  • Laouénan C; Vaccine Research Institute, Université Paris-Est, Faculté de Médecine, INSERM U955, Créteil, France.
  • Ghosn J; Assistance Publique-Hôpitaux de Paris, Groupe Henri-Mondor Albert-Chenevier, Service d'Immunologie Clinique, Créteil, France.
  • Fenwick C; AP-HP, Hôpital Bichat, Département Épidémiologie Biostatistiques et Recherche Clinique, INSERM, Centre d'Investigation clinique-Epidémiologie Clinique 1425, Paris, France.
  • Comte D; Université de Paris, INSERM, IAME UMR 1137, Paris, France.
  • Roger T; AP-HP, Hôpital Bichat, Service de Maladies Infectieuses et Tropicales, Paris, France.
  • Regina J; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Vollenweider P; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Waeber G; Service of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Oddo M; Service of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Calandra T; Service of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Pantaleo G; Service of Internal Medicine, Department of Medicine, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Nat Commun ; 12(1): 4888, 2021 08 09.
Article in English | MEDLINE | ID: covidwho-1349667
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / Hepatocyte Growth Factor / Chemokine CXCL13 / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-25191-5

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / Hepatocyte Growth Factor / Chemokine CXCL13 / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-25191-5