Development and testing of RSV vaccines using a computational framework of virus-host interaction
Development and testing of RSV vaccines using a computational framework of virus-host interaction
批准号:
10549828
负责人:
Christopher S Anderson
金额:
$10.17万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-01-21 至 2026-12-31
关键词:
AntibodiesAntibody ResponseAntibody SpecificityAntibody titer measurementAntigensB-LymphocytesBindingBiological AssayBlood group antigen fBody Weight decreasedCellsCessation of lifeChildClinical TrialsCodon NucleotidesComputer AssistedComputer ModelsComputer SimulationDevelopmentDiseaseElderlyEncapsulatedEnzyme-Linked Immunosorbent AssayEpithelial CellsEvaluationFailureFormulationHospitalizationHumanHumoral ImmunitiesImmuneImmune responseImmunityImmunizationImmunizeImmunologyIn VitroInfectionLipidsLungMembrane ProteinsMessenger RNAMonitorMusOutcomePolyvalent VaccineProteinsRecording of previous eventsRespiratory Syncytial Virus VaccinesRespiratory syncytial virusSeverity of illnessSiteSpecificityStructureT-LymphocyteTestingTimeVaccine DesignVaccinesVariantViral ProteinsViral load measurementVirusVirus Diseasesadaptive immune responseantibody testcomputer frameworkcross reactivityenzyme linked immunospot assayimprovedinsightlipid nanoparticlelung histologymouse modelneutralizing antibodypathogenpulmonary functionrespiratory virussimulationvaccine developmentvaccine formulationvirus host interaction
中文摘要
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英文摘要
Respiratory Syncytial Virus (RSV) is the second leading cause of hospitalization in children worldwide and has
been increasing appreciated as a cause of hospitalization and death in the elderly. Recent studies have shown
that polyvalent vaccine formulations, mixture of antigens derived from distinct pathogen variants, can induce
antibodies to regions conserved between those variants We hypothesize that polyvalent antigen RSV vaccine
formulations will increase antibody to regions conserved between the antigens. By drawing on the natural
variability that exists among RSV variants, we aim to study the effect that polyvalent RSV G or F antigen
formulations have on the immune response. We will test if antibodies are enhanced towards regions conserved
between the viral proteins with the polyvalent formulation.
Aim 1. Determining the Effect of Polyvalent RSV Vaccine Formulations on Humoral Immunity using
Computer Simulations. We hypothesize that RSV polyvalent vaccine formulations consisting of different
combinations of G or F-protein antigens will increase the antibody response to conserved regions between the
antigens. We will evaluate different vaccine formulations using a computational framework of virus/host-
interaction (ssMod.v2). We will test for differences in antibody specificity between polyvalent and monovalent
formulations in the framework. Antibody cross-reactivity and protection against RSV challenge will also be
evaluated.
Aim 2. Comparison of the Host Immune Response to Polyvalent Vaccine Formulations in Mice. We
hypothesize that murine immunization with a mRNA-LNP vaccine comprising polyvalent antigen formulations
will induce antibodies and immune cells specific to regions conserved between the antigens. mRNA-LNPs will
be constructed using cap-1, codon-optimized, structure-stabilized mRNA, encoding G or F from A2 or B1 RSV
variants and will be encapsulated using ionizable cationic lipids. Groups of mice will be immunized with either
Aim 3. Test if RSV Polyvalent Vaccine Formulation Improves Protection from RSV Disease. We
hypothesize that vaccine formulations containing polyvalent mixtures of G or F antigens will increase the extent
of protection against RSV disease compared to monovalent formulations. Using different mixtures of mRNA-
LNP, we will test the ability of polyvalent vaccines to protect against disease severity using a murine model of
RSV challenge. The neutralizing antibody titer of the sera will be tested using a primary human lung epithelial
cell RSV-neutralization assay. Monovalent and polyvalent vaccine formulations will be compared by testing for
differences between infection and disease severity outcomes.
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Development and testing of RSV vaccines using a computational framework of virus-host interaction
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批准号:10426748
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项目类别:
-
资助金额:$10.17万
-
财政年份:2022
-
负责人:Christopher S Anderson
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依托单位:
海外基金