COVID-19 Immunophenotyping Proteomics and Metabolomics Core (PMC)
Project Number3U19AI118608-04S3
Former Number5U19AI118608-04
Contact PI/Project LeaderLEVY, OFER
Awardee OrganizationBOSTON CHILDREN'S HOSPITAL
Description
Abstract Text
Project Summary/Abstract
In Dec 2019, a cluster of respiratory illness in Wuhan China defined the onset of a worldwide pandemic involving
a novel coronavirus (SARS-CoV-2). SARS-CoV-2 infected patients are frequently asymptomatic, but initial
epidemiologic estimates from the WHO indicate that ~15% of patients develop severe disease including viral
pneumonia often requiring ICU care due to progression to develop life-threatening complications including (but
not limited to) shock and secondary organ failures, and super-infections. Risk factors for increased mortality from
COVID-19 include older age, COPD, ischemic heart disease, diabetes mellitus, and immunosuppression.
Although direly needed, no targeted therapies or vaccinations are available as of now. Major research efforts
have been launched towards the development of anti-SARS-CoV-2 vaccines, including those within Boston
Children’s Hospital’s Precision Vaccines Program. To facilitate and accelerate these therapy and vaccination
development efforts, more detailed immunophenotyping and understanding of the host immune response to
SARS-CoV-2 are required. This knowledge may inform prognostication of resolution of infection versus disease
progression and identify the relevant targets for potential therapeutic interventions. Overall, the outcomes of
these immunophenotyping maps are critical for identifying and prioritizing host-directed interventions to limit or
mitigate disease progression. Based on this rationale, we hypothesize that plasma proteomics and metabolomics
from hospitalized COVID-19 patients, longitudinally collected during the hospital stay and during the subsequent
convalescence period of up to one year post-discharge from the hospital will provide much needed insights into
the intricacies of the immunophenotype of COVD19 patients. Thus, they will be crucial to support NIAID’s efforts
towards enabling and accelerating therapy and vaccine development. To this end, we propose a Proteomics and
Metabolomics Core (PMC) to support NIAID’s efforts to characterize at the molecular and cellular level the
immunophenotype associated with COVID-19.
The PMC will quantitative map the global plasma proteome (Specific Aim 1) and the global plasma metabolome
(Specific Aim 2), followed by hypothesis-driven targeted metabolomics to detect metabolites and metabolic
pathways that play a role in the COVID-19 disease progression (Specific Aim 3). All plasma samples will be
longitudinally collected from COVID-19 patients upon hospitalization and the following 28 days in the hospital as
well as the subsequent convalescence period of up to 12 months after discharge.
We anticipate that the PMC will make substantial contributions to confronting the new COVID-19 pandemic, for
which therapeutic strategies and vaccines must be developed rapidly. The PMC will help portray a broad profile
of the changes that occur in COVID-19 patients and that are associated with disease severity, progression and
recovery to support the quest for anti-COVID-19 therapies and vaccines.
Public Health Relevance Statement
Narrative COVID-19 Immunophenotyping Proteomics and Metabolomics Core (PMC)
The current worldwide coronavirus pandemic is caused by the SARS-CoV-2 virus. About 15% of SARS-CoV-2-
infected patients develop severe disease requiring ICU care, and progress to develop life-threatening
complications. Currently, no therapies and/or vaccines are available. The COVID-19 Immunophenotyping
Proteomics and Metabolomics Core (PMC) will map the proteome and metabolome of the plasma/serum
collected longitudinally from 1,000 COVID-19 patients during their hospital stay and subsequent convalescence
thereby informing novel approaches for diagnostic, prognostic, treatment and prevention strategies.
NIH Spending Category
No NIH Spending Category available.
Project Terms
2019-nCoVAgeAntiviral AgentsAwardBiological MarkersBostonCOVID-19COVID-19 pandemicCaringChinaChronic Obstructive Airway DiseaseClinicalClinical TrialsCollaborationsControlled Clinical TrialsConvalescenceCoronavirusCoughingDevelopmentDiabetes MellitusDiagnosticDiseaseDisease OutcomeDisease ProgressionEpidemiologyFeverHospitalizationHospitalsHumanImmune responseImmune systemImmunologicsImmunophenotypingImmunosuppressionInfectionInterventionInvestigationKnowledgeLabelLeadLength of StayLifeLiteratureMalaiseMapsMass Spectrum AnalysisMetabolic PathwayMolecularMorbidity - disease rateMyalgiaMyocardial IschemiaNational Institute of Allergy and Infectious DiseaseOnset of illnessOrgan failureOutcomeParentsPatientsPediatric HospitalsPlasmaPlasma ProteinsPlayPopulationPrevention strategyProteomeProteomicsRandomized Controlled TrialsRecoveryReportingReproducibilityResearchResolutionRisk FactorsRoleSamplingSeverity of illnessShockTechnologyTestingTherapeuticTherapeutic AgentsTherapeutic InterventionVaccinationVaccinesValidationViral PneumoniaViral Respiratory Tract InfectionVirusage groupbaseimmune functionimmunogenicityimmunological statusinsightinterestliquid chromatography mass spectrometrymetabolomemetabolomicsmortalitynovelnovel coronavirusnovel strategiesoff-label usepandemic diseasepathogenpatient subsetsprognosticprogramsrespiratoryresponsesuperinfectiontargeted biomarkertargeted treatmenttherapy developmenttreatment strategyvaccine development
National Institute of Allergy and Infectious Diseases
CFDA Code
855
DUNS Number
076593722
UEI
Z1L9F1MM1RY3
Project Start Date
11-May-2020
Project End Date
30-November-2021
Budget Start Date
11-May-2020
Budget End Date
30-November-2020
Project Funding Information for 2020
Total Funding
$2,174,014
Direct Costs
$1,736,514
Indirect Costs
$437,500
Year
Funding IC
FY Total Cost by IC
2020
National Institute of Allergy and Infectious Diseases
$2,174,014
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 3U19AI118608-04S3
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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