Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)
Project Number4R61HD105613-02
Contact PI/Project LeaderSALAZAR, JUAN C Other PIs
Awardee OrganizationCONNECTICUT CHILDREN'S MEDICAL CENTER
Description
Abstract Text
PROJECT SUMMARY / ABSTRACT
In adults, SARS-CoV-2 infection exhibits a wide range of clinical outcomes, from asymptomatic and mild disease
to severe viral pneumonia, respiratory distress, acute kidney injury, thrombotic disorders, and serious cardiac,
cerebrovascular and vascular complications. Severe infection can also occur both in children and young adults
(< 21), and a significant proportion of children admitted with Covid-19 require ICU support, frequently including
mechanical ventilation. In addition, children and adolescents with initially asymptomatic SARS-CoV-2 infection
have presented with a rare, but very severe multisystem inflammatory syndrome (MIS-C). Epidemiologic, clinical
and laboratory predictors of progression towards severe forms of acute infection with SARS-CoV-2 and MIS-C
are thus urgently needed in the fight against Covid-19 in this population. As defined in the NIH Rapid
Acceleration of Diagnostics (RADx) program, biomarker discovery can enable risk stratification and guide
interventional studies to target Covid-19 patients at enhanced risk of developing complications and/or severe
disease. To target this discovery initiative, herein we will use a battery of biological, immunological and molecular
tests, including Grating-Coupled Fluorescence Plasmonic (GCFP) and advanced flow cytometry, to study
children and young adults (<21 years) with mild, moderate or severe SARS-CoV-2 infection. GCFP allows the
use of disposable biosensor chips that can be mass-produced at low cost and spotted in microarray format to
greatly increase multiplexing capabilities. In addition, we will use a similar biomarker approach for rapid
differentiation of patients with MIS-C versus other pediatric infectious or inflammatory conditions where the
clinical presentation resembles MIS-C, most importantly Kawasaki disease. A child’s biologic and immunologic
response to SARS-CoV-2 exposure is likely influenced by a variety of factors, including genetics, epigenetics
and products of the mucosa/gut-brain axis, adipose tissue and neuroendocrine immune network, and further
modulated by environmental exposures. With these factors in mind, we hypothesize that a child’s biomarker
profile in response to SARS-CoV-2 infection enables a timely and accurate prediction of severity of Covid-19
and diagnosis of MIS-C, and will help guide treatment strategies, and predict patient outcomes. To test this
hypothesis, we will use a non-traditional diagnostic and comprehensive biomarker discovery to characterize the
clinical and laboratory spectrum of children and adolescents with mild, moderate and severe SARS-CoV-2
infection, as well as MIS-C. We will then validate our newly developed diagnostic and prognostic algorithm to
distinguish MIS-C from other inflammatory disorders with overlapping clinical manifestations, including Kawasaki
disease, and predict the longitudinal risk of complications.
Public Health Relevance Statement
PROJECT NARRATIVE
SARS-CoV-2 infection has harshly impacted health care outcomes in children and young adults. This
groundbreaking project will employ multiple state-of-the-art technologies and approaches to evaluate children
and young adults (<21), enrolled in the United States and Colombia, across the spectrum of clinical
manifestations of Covid-19 to identify and validate biomolecules or bacterial signatures with diagnostic and
prognostic value.
NIH Spending Category
No NIH Spending Category available.
Project Terms
2019-nCoVAcute Renal Failure with Renal Papillary NecrosisAcute Respiratory Distress SyndromeAddressAdipose tissueAdolescentAdultAlgorithmsAsthmaAttentionBiologicalBiological MarkersBiometryBiosensorBlack AmericanBloodBlood VesselsCOVID-19COVID-19 diagnosisCOVID-19 outbreakCOVID-19 patientCOVID-19 severityCardiacCenters for Disease Control and Prevention (U.S.)ChildChildhoodClinicalCollaborationsCollectionColombiaCoupledDetectionDiagnosticDiseaseElderlyEnrollmentEnvironmental ExposureEpidemiologyEpigenetic ProcessEuropeExhibitsFlow CytometryFluorescenceGeneticGut MucosaHispanic AmericansImmuneImmune responseImmunologicsInfectionInflammatoryIntervention StudiesLaboratoriesMachine LearningMechanical ventilationMindMolecularMorbidity - disease rateMucocutaneous Lymph Node SyndromeMultisystem Inflammatory Syndrome in ChildrenNative AmericansNeurosecretory SystemsObesityOutcomePatient-Focused OutcomesPatientsPopulationRADxReportingRespiratory distressRiskSARS-CoV-2 exposureSARS-CoV-2 infectionSalivaSamplingSeverity of illnessSymptomsSyndromeTechniquesTechnologyTestingThrombosisTimeUnited StatesUnited States National Institutes of HealthViral PneumoniaVirusacute infectionarmbiobankbiomarker discoverybiomarker signaturebiosignaturecare outcomescerebrovascularclinically relevantcohortcostdeep learningdiagnostic algorithmdiagnostic valuefight againstgut-brain axisinstrumentmicrobiome analysisminority childrenmortalitypediatric patientsplasmonicspoint of care testingpotential biomarkerprognosticprognostic algorithmprognostic valueprogramsresponserisk stratificationsevere COVID-19treatment strategyyoung adult
Eunice Kennedy Shriver National Institute of Child Health and Human Development
CFDA Code
310
DUNS Number
077314268
UEI
U1L2PRKYF9T3
Project Start Date
01-January-2021
Project End Date
30-November-2022
Budget Start Date
01-December-2021
Budget End Date
30-November-2022
Project Funding Information for 2022
Total Funding
$807,142
Direct Costs
$658,672
Indirect Costs
$148,470
Year
Funding IC
FY Total Cost by IC
2022
NIH Office of the Director
$807,142
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 4R61HD105613-02
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 4R61HD105613-02
Clinical Studies
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History
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