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

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Title: Combinatorial analysis reveals highly coordinated early-stage immune reactions that predict later antiviral immunity in mild COVID-19 patients.
Authors: Capelle CM; Department 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., Ciré S; Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg., Domingues O; Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg., Ernens I; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg., Hedin F; National Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg., Fischer A; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg., Snoeck CJ; Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg., Ammerlaan W; Integrated BioBank of Luxembourg (IBBL), Dudelange, Luxembourg., Konstantinou M; National Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg., Grzyb K; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg., Skupin A; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg; Department of Neuroscience, University California San Diego, La Jolla, CA, USA., Carty CL; Adaptive Biotechnologies, Seattle, WA, USA., Hilger C; Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg., Gilson G; Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg., Celebic A; Translational Medicine Operations Hub, Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg., Wilmes P; Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg., Del Sol A; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg; CIC bioGUNE, Bizkaia Technology Park, Derio, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain., Kaplan IM; Adaptive Biotechnologies, Seattle, WA, USA., Betsou F; Integrated BioBank of Luxembourg (IBBL), Dudelange, Luxembourg; Laboratoire National de Santé (LNS), Dudelange, Luxembourg., Abdelrahman T; Laboratoire National de Santé (LNS), Dudelange, Luxembourg., Cosma A; National Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg., Vaillant M; Translational Medicine Operations Hub, Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg., Fagherazzi G; Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg., Ollert M; Department 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., Hefeng FQ; Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg. Electronic address: feng.he@lih.lu.
Source: Cell reports. Medicine [Cell Rep Med] 2022 Mar 29; Vol. 3 (4), pp. 100600. Date of Electronic Publication: 2022 Mar 29 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101766894 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3791 (Electronic) Linking ISSN: 26663791 NLM ISO Abbreviation: Cell Rep Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-3791
DOI:10.1016/j.xcrm.2022.100600