Authors: Raphael Carapito, Richard Li, Julie Helms, Christine Carapito, Sharvari Gujja, Véronique Rolli, Raony Guimaraes, Jose Malagon-Lopez, Perrine Spinnhirny, Alexandre Lederle, Razieh Mohseninia, Aurélie Hirschler, Leslie Muller, Paul Bastard, Adrian Gervais, Qian Zhang, François Danion, Yvon Ruch, Maleka Schenck, Olivier Collange, Thiên-Nga Chamaraux-Tran, Anne Molitor, Angélique Pichot, Alice Bernard, Ouria Tahar, Sabrina Bibi-Triki, Haiguo Wu, Nicodème Paul, Sylvain Mayeur, Annabel Larnicol, Géraldine Laumond, Julia Frappier, Sylvie Schmidt, A. Hanauer, Cécile Macquin, Tristan Stemmelen, Michael Simons, Xavier Mariette, Olivier Hermine, Samira Fafi-Kremer, Bernard Goichot, Bernard Drenou, Khaldoun Kuteifan, Julien Pottecher, Paul-Michel Mertes, Shweta Kailasan, M. Javad Aman, Elisa Pin, Peter Nilsson, Anne Thomas, Alain Viari, Damien Sanlaville, Francis Schneider, Jean Sibilia, Pierre-Louis Tharaux, Jean-Laurent Casanova, Yves Hansmann, Daniel A. Lidar, Mirjana Radosavljevic, Jeffrey R. Gulcher, Ferhat Meziani, Christiane Moog, Thomas Chittenden, Seiamak Bahram
Venue: Science Translational Medicine
Type: Publication
Abstract: The drivers of critical coronavirus disease 2019 (COVID-19) remain unknown. Given major confounding factors such as age and comorbidities, true mediators of this condition have remained elusive. We used a multi-omics analysis combined with artificial intelligence in a young patient cohort where major comorbidities were excluded at the onset. The cohort included 47 “critical” (in the intensive care unit under mechanical ventilation) and 25 “non-critical” (in a non-critical care ward) patients with COVID-19 and 22 healthy individuals. The...
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Topics: 
Immunology
Bioinformatics
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