Identification of immunological predictors of COVID-19 clinical outcomes
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Principal Investigator: Andrea Lisco Organization: NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES Fiscal Year: 2020 Award: $2,622 Funding agency: National Institute of Allergy and Infectious Diseases The extraordinarily wide spectrum of clinical manifestations associated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, ranging from asymptomatic to fatal disease, represent an unexpected and unexplained clinical feature for an emerging highly contagious novel human pathogen. Host factors implicated in the innate or adaptive response to SARS-Cov2 as well as comorbidities or yet unidentified predictor are likely to be associated with such broad spectrum of clinical outcomes. In collaboration with a network of southern italian medical centers (Bari, Foggia, Caserta) we have collected de-identified clinical data and biological specimens from over 300 individuals with asymptomatic infection (as identified by SARS-COv2 serological screening for blood donation), mild, moderate, severe or critical COVID-19 diseases to analyze the genetic and immunological correlates of these clinical outcomes in a collaborative project with other NIAID intramural investigators. Terms: <2019 novel coronavirus><2019-nCoV><Biological><Blood Donations><Blood Screening><COVID-19><COVID19><Clinical><Clinical Data><Collaborations><Disease><Disorder><Gene Expression Monitoring><Gene Expression Pattern Analysis><Gene Expression Profiling><Gene variant><Genetic><Goals><Host Factor><Host Factor Protein><Immunochemical Immunologic><Immunologic><Immunological><Immunologically><Immunologics><Individual><Infection><Integration Host Factors><Investigators><Medical center><NIAID><National Institute of Allergy and Infectious Disease><Outcome><PBMC><Peripheral Blood Mononuclear Cell><Research Personnel><Research Specimen><Researchers><SARS-CoV-2><SARS-CoV2><SARS-associated coronavirus 2><SARS-coronavirus-2><SARS-related coronavirus 2><Serologic><Serological><Severe acute respiratory syndrome coronavirus 2><Severities><Specimen><Transcript Expression Analyses><Transcript Expression Analysis><Wuhan coronavirus><allele variant><allelic variant><biomarker identification><clinical predictors><co-morbid><co-morbidity><comorbidity><corona virus disease 2019><coronavirus disease 2019><gene expression analysis><gene expression assay><genetic variant><genomic variant><human pathogen><human virome><marker identification><novel><response><transcriptional profiling>