Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumonia
Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumonia
批准号:
10728396
负责人:
REINHARD LAUBENBACHER
金额:
$76.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-01 至 2027-06-30
关键词:
2019-nCoV3-DimensionalACE2AffectAnimal ModelBiologicalCOVID-19COVID-19 pneumoniaCOVID-19 severityCell DeathCellsCessation of lifeComplexComputer ModelsConfocal MicroscopyCryopreservationDataEngineeringEpidemiologic FactorsEpithelial CellsEventFRAP1 geneFlow CytometryGenetic TranscriptionGoalsGrantHeterogeneityHumanImmuneImmune responseImmunityImmunologyIndividualInfectionInnate Immune ResponseInterferon Type IInterventionK-18 conjugateLiteratureLungLung infectionsMeasurementMediatingMinorModelingMolecularMusOutcomePathway interactionsPersonsPhosphoproteinsPredictive FactorPredispositionProductionProtocols documentationPublic HealthPublishingReproducibilityRiskRoleSARS-CoV-2 infectionSamplingSeveritiesSignal TransductionStructure of parenchyma of lungSurgical ModelsSystemTestingTimeTissue DonorsTissue PreservationTissuesTransgenic MiceTransgenic OrganismsViralVirusWorkalveolar epitheliumbasebiobankcohortcytokinedigital twineffective therapyimproved outcomeindividual variationinnovationmTOR inhibitionmathematical modelmouse modelmulti-scale modelingnoveloutcome disparitiesoutcome predictionpandemic diseasepopulation basedreceptorresponsesevere COVID-19therapeutic targetthree dimensional cell culturetoolvirology
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
A key feature of the COVID-19 infection is the vast inter-individual heterogeneity in the
severity of the infection. The complex biological mechanisms that underlie this variability remain
mostly obscure. We propose to provide a mechanistic understanding of this susceptibility by
leveraging 3 key innovations: First, we have developed a 3-dimensional lung culture system
that allows for detailed interrogation of the early events in SARS-CoV-2 infection. Second, we
have established an animal model of COVID-19 in mice transgenic for the human ACE2
receptor in our facility. Third, we have built a multi-scale mathematical model of lung infection in
COVID-19, that we now seek to expand and personalize to individual hosts. We have two Aims
in this project: In Aim 1, we will validate, expand, and personalize our existing multi-scale
model, using an unbiased approach to identify and test hypotheses relating to susceptibility to
severe COVID-19, and in Aim 2 we will test a specific hypothesis regarding the mechanism of
the observed inter-individual heterogeneity in COVID-19 severity, namely that it is, in part,
mediated by divergent activation of the mTOR pathway in type I alveolar epithelial cells. If
successful, this project will identify the biological basis of the immune pathways that result in
heterogeneous outcome of COVID-19, paving the way for personalized, host-specific
interventions to improve the outcome of the infection.
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