grant
Immunologic and Predictive Features of MIS-C
Organization COLUMBIA UNIVERSITY HEALTH SCIENCESLocation NEW YORK, UNITED STATESPosted 18 Jul 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY20250-11 years old2019 novel corona virus2019 novel coronavirus2019-nCoV21+ years oldActive Follow-upAcuteAdultAdult HumanAgeAlgorithmsAntibody RepertoireAreaAssayAutoantibodiesBioassayBiologicalBiological AssayBiological MarkersBloodBlood Reticuloendothelial SystemCITE sequencingCITE-seqCITEseqCOVID crisisCOVID epidemicCOVID pandemicCOVID-19COVID-19 antibodyCOVID-19 associated deathCOVID-19 associated fatalityCOVID-19 associated mortalityCOVID-19 crisisCOVID-19 deathCOVID-19 epidemicCOVID-19 eraCOVID-19 fatalityCOVID-19 global health crisisCOVID-19 global pandemicCOVID-19 health crisisCOVID-19 induced deathCOVID-19 induced fatalityCOVID-19 induced mortalityCOVID-19 infectionCOVID-19 mortalityCOVID-19 pandemicCOVID-19 periodCOVID-19 positiveCOVID-19 positivityCOVID-19 public health crisisCOVID-19 related deathCOVID-19 related fatalityCOVID-19 related mortalityCOVID-19 virusCOVID-19 virus infectionCOVID-19 yearsCOVID19 associated deathCOVID19 associated 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infectionSARS-CoV-2 mortalitySARS-CoV-2 pandemicSARS-CoV-2 positiveSARS-CoV-2 positivitySARS-CoV-2 related deathSARS-CoV-2 related fatalitySARS-CoV-2 related mortalitySARS-CoV2SARS-CoV2 infectionSARS-Related CoronavirusSARS-associated corona virus 2SARS-associated coronavirus 2SARS-coronavirus-2SARS-coronavirus-2 epidemicSARS-coronavirus-2 pandemicSARS-related corona virus 2SARS-related coronavirus 2SARSCoV2SamplingSerologySevere Acute Respiratory CoronavirusSevere Acute Respiratory Coronavirus 2Severe Acute Respiratory Distress Syndrome CoV 2Severe Acute Respiratory Distress Syndrome Corona Virus 2Severe Acute Respiratory Distress Syndrome Coronavirus 2Severe Acute Respiratory Syndrome CoV 2Severe Acute Respiratory Syndrome CoV 2 epidemicSevere Acute Respiratory Syndrome CoV 2 pandemicSevere Acute Respiratory Syndrome VirusSevere Acute Respiratory Syndrome corona virusSevere Acute Respiratory Syndrome coronavirusSevere Acute Respiratory Syndrome-associated coronavirus 2Severe Acute 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syndrome coronavirus 2developmentaldisease diagnosisdisease prognosisdisease prognosticationdisease riskdisorder riskearly childhoodexome sequencingexome-seqfatality due to COVID-19fatality due to COVID19fatality due to SARS-CoV-2fatality due to coronavirus disease 2019fatality due to severe acute respiratory syndrome coronavirus 2follow upfollow-upfollowed upfollowing COVID-19 infectionfollowing SARS-CoV-2 infectionfollowing SARS-CoV2 infectionfollowing infection by SARS-CoV-2following severe acute respiratory distress syndrome CoV-2 infectionfollowupforecasting riskhCoV19identification of biomarkersidentification of new biomarkersimprovedinfected with COVID-19infected with COVID19infected with SARS-CoV-2infected with SARS-CoV2infected with coronavirus disease 2019infected with severe acute respiratory syndrome coronavirus 2infection ratekidslong-term sequelaemachine based learningmachine learned algorithmmachine learning algorithmmachine learning based algorithmmachine learning based 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antibodysevere acute respiratory syndrome coronavirus 2 antibodysevere acute respiratory syndrome coronavirus 2 associated deathsevere acute respiratory syndrome coronavirus 2 associated fatalitysevere acute respiratory syndrome coronavirus 2 associated mortalitysevere acute respiratory syndrome coronavirus 2 deathsevere acute respiratory syndrome coronavirus 2 fatalitysevere acute respiratory syndrome coronavirus 2 global health crisissevere acute respiratory syndrome coronavirus 2 global pandemicsevere acute respiratory syndrome coronavirus 2 induced deathsevere acute respiratory syndrome coronavirus 2 induced fatalitysevere acute respiratory syndrome coronavirus 2 induced mortalitysevere acute respiratory syndrome coronavirus 2 mortalitysevere acute respiratory syndrome coronavirus 2 related deathsevere acute respiratory syndrome coronavirus 2 related fatalitysevere acute respiratory syndrome coronavirus 2 related mortalitysevere acute respiratory syndrome-CoVshockssingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingstratify riskyoungster
Full Description
The novel SARS coronavirus (SARS-CoV-2) causes the severe pneumonia-like coronavirus
disease (COVID-19). SARS-CoV-2 infected over 170 million individuals and has claimed over
3.5 million lives worldwide to date. If otherwise healthy, children were thought to be largely
spared from SARS-CoV-2 disease. However, in areas of high SARS-CoV-2 infection rates,
some children started presenting to pediatric critical care units 4-6 weeks following SARS-CoV-
2 infection with Kawasaki-like disease. Clinically, we now know that this is a distinct disease,
which was recently termed - multisystem inflammatory syndrome in children (MIS-C). While the
characteristic clinical features of MIS-C are becoming clear, the pathophysiology remains
unknown. Here we propose to evaluate three independent cohorts of MIS-C during acute and
convalescent phases of disease at clinical, genetic and immunologic levels using the latest
technology. We will not only perform systemic immunological mapping of MIS-C as compared to
controls, but also utilize machine learning algorithms to delineate how best to predict, diagnose
and outcome stratify MIS-C. We anticipate discovering immunologic and genetic features which
can aid us in assessing risks of MIS-C development, diagnosis and prognosis. In summary, our
systematic analysis and computational modeling of the clinical and immune features of MIS-C
will not only help illuminate the pathogenesis of this syndrome, but will also provide us with
actionable biomarkers for disease risk, diagnosis and progression.
Grant Number: 5R01HD108467-05
NIH Institute/Center: NIH
Principal Investigator: Dusan Bogunovic
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