Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression.

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Title: Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression.
Authors: Rendeiro AF; Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA., Casano J; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Kyriakos Vorkas C; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Singh H; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Morales A; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., DeSimone RA; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Ellsworth GB; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Soave R; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Kapadia SN; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA., Saito K; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Brown CD; Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Hsu J; Division of Hematology/Oncology, Department of Medicine Weill Cornell Medicine, New York, NY, 10065, USA., Kyriakides C; Department of Rehabilitation Medicine at NYU Grossman School of Medicine New York, NY, USA., Chiu S; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Cappelli L; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Teresa Cacciapuoti M; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Tam W; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Galluzzi L; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.; Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA.; Sandra and Edward Meyer Cancer Center, New York, NY, USA.; Department of Dermatology, Yale School of Medicine, New Haven, CT, USA., Simonson PD; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA., Elemento O; Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA., Salvatore M; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.; Division of Public Health Programs, Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Inghirami G; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2020 Sep 09. Date of Electronic Publication: 2020 Sep 09.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1101/2020.09.08.20189092