Immune Signature Linked to COVID-19 Severity: A SARS-Score for Personalized Medicine
| Autor: | Russick, Jules, Foy, Pierre-Emmanuel, Josseaume, Nathalie, Meylan, Maxime, Hamouda, Nadine, Kirilovsky, Amos, Sissy, Carine, Tartour, Eric, Smadja, David, Karras, Alexandre, Hulot, Jean-Sébastien, Livrozet, Marine, Fayol, Antoine, Arlet, Jean-Benoit, Diehl, Jean-Luc, Dragon-Durey, Marie-Agnès, Pagès, Franck, Cremer, Isabelle |
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| Přispěvatelé: | Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), HAL-SU, Gestionnaire, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
[SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases [SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunology [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases [SDV.IMM.IA] Life Sciences [q-bio]/Immunology/Adaptive immunology personalized medicine/personalized health care [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases COVID-19 score immunologic profile therapeutic strategy [SDV.IMM.II] Life Sciences [q-bio]/Immunology/Innate immunity [SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunity |
| Zdroj: | Frontiers in Immunology Frontiers in Immunology, Frontiers, 2021, 12, pp.701273. ⟨10.3389/fimmu.2021.701273⟩ Frontiers in Immunology, 2021, 12, pp.701273. ⟨10.3389/fimmu.2021.701273⟩ |
| ISSN: | 1664-3224 |
| Popis: | International audience; SARS-CoV-2 infection leads to a highly variable clinical evolution, ranging from asymptomatic to severe disease with acute respiratory distress syndrome, requiring intensive care units (ICU) admission. The optimal management of hospitalized patients has become a worldwide concern and identification of immune biomarkers predictive of the clinical outcome for hospitalized patients remains a major challenge. Immunophenotyping and transcriptomic analysis of hospitalized COVID-19 patients at admission allow identifying the two categories of patients. Inflammation, high neutrophil activation, dysfunctional monocytic response and a strongly impaired adaptive immune response was observed in patients who will experience the more severe form of the disease. This observation was validated in an independent cohort of patients. Using in silico analysis on drug signature database, we identify differential therapeutics that specifically correspond to each group of patients. From this signature, we propose a score—the SARS-Score—composed of easily quantifiable biomarkers, to classify hospitalized patients upon arrival to adapt treatment according to their immune profile. |
| Databáze: | OpenAIRE |
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