grant

Defining the mechanisms of HIV resistance to bNAbs in humans

Organization ROCKEFELLER UNIVERSITYLocation NEW YORK, UNITED STATESPosted 5 Jul 2022Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY2025AIDS VirusAIDS preventionAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency Syndrome VirusAnimal ModelAnimal Models and Related StudiesAnti-Retroviral AgentsAntibodiesAntibody ResponseAntibody TherapyAntigenic DeterminantsAutologousBinding DeterminantsBlood SerumCell BodyCell Culture TechniquesCell IsolationCell SegregationCell SeparationCell Separation TechnologyCellsClinicalClinical ResearchClinical StudyClinical TrialsComplexComputer ModelsComputerized ModelsDNA mutationDisease remissionDoseDrugsElementsEpitopesEvolutionExhibitsGeneticGenetic ChangeGenetic defectGenetic mutationGlycansGoalsHIVHIV PreventionHIV resistanceHIV resistantHIV-1HIV-IHIV/AIDS preventionHIV1HumanHuman Immunodeficiency Virus Type 1Human Immunodeficiency VirusesHuman immunodeficiency virus 1Immune responseImmune systemIn VitroIncidenceIndividualInfectionInfection preventionInterruptionLAV-HTLV-IIILibrariesLymphadenopathy-Associated VirusMachine LearningMapsMediatingMedicationMethodsModalityModern ManMolecularMolecular ConfigurationMolecular ConformationMolecular StereochemistryMutateMutationNaturePBMCParticipantPathway interactionsPeripheral Blood Mononuclear CellPersonsPharmaceutical PreparationsPolysaccharidesPopulationPopulation SizesPrevent infectionPreventative interventionPreventiveProteinsProtocolProtocols documentationProvirusesRemissionResistanceSamplingSerumSiteSurfaceTestingTherapeuticTherapeutic InterventionV3 LoopV3 Loop of HIV-1VariantVariationViralViremiaVirusVirus-HIVanti-retroviralantibody based therapiesantibody treatmentantibody-based therapeuticsantibody-based treatmentantiretroviral therapyantiretroviral treatmentcell culturecell culturescell sortingclinical developmentclinical relevanceclinically relevantcomputational modelingcomputational modelscomputer based modelscomputerized modelingconformationconformationalconformational stateconformationallyconformationsdeep sequencingdesigndesigningdrug/agentexperienceexperimentexperimental researchexperimental studyexperimentsgenome mutationhost responseimmune system responseimmunoresponseintervention for preventionintervention therapymachine based learningmodel of animalmutantneutralizing antibodynew approachesnew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generationnext generation therapeuticsnovelnovel approachesnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel strategiesnovel strategynovel therapeuticsnovel therapypathwaypre-clinical studypreclinical studypreventpreventingprevention interventionpreventional intervention strategypreventive interventionresistance mutationresistance strainresistantresistant mutationresistant strainresponsesuccessviraemiaviral reboundviral resistanceviral sepsisvirus reboundvirus resistancevirusemia
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Full Description

PROJECT SUMMARY
Combination antiretroviral therapy (ART) revolutionized the treatment and prevention of HIV-1 infection.

However, ART does not eradicate established infection and worldwide HIV-1 incidence rates remain high and

have been declining slowly. Thus, the search for novel preventive and therapeutic interventions remains a high

priority. In recent years, broadly neutralizing antibodies (bNAbs) emerged as a long-acting alternative to daily

ART and as a promising strategy to achieve long-term treatment-free HIV-1 control. bNAbs differ from ART in

that they engage the host immune system by virtue of their Fc effector domains and therefore have the potential

to mediate killing of infected cells and modulate or enhance HIV-specific immune responses. However, bNAbs

are vulnerable to escape by HIV-1 variants. During HIV-1 infection, antibody responses co-evolve with a large

population of rapidly mutating viruses, such that variants that are resistant to individual antibodies are frequently

encountered. Consistent with this high level of diversity, several clinical studies have demonstrated that bNAb

monotherapy leads to transient declines in viremia with rapid selection of bNAb-resistant viral strains. In contrast,

a combination of two bNAbs targeting non-overlapping Env epitopes maintained viral suppression in participants

harboring antibody sensitive viruses who had achieved viral suppression with ART and subsequently received

repeated doses of bNAbs during ART interruption. These early studies demonstrate the potential therapeutic

application of bNAbs but also highlight the need to better understand viral escape pathways leading to bNAb

resistance. Although resistance to some bNAbs (i.e. anti-V3 loop) is predicated on known features of Env, the

determinants of resistance are poorly defined for other bNAbs and for combinations of bNAbs. The overarching

goals of this proposal are to understand the diversity of pathways leading to bNAb escape and use this

information to guide the design of more effective optimized bNAb combinations that prevent emergence of

resistant variants. This proposal has four interrelated aims directed at accomplishing these goals: (1) Determine

the sequence elements that lead to viral resistance to bNAb administration in humans using newly developed

next generation deep sequencing methods; (2) Systematically map all possible viable bNAb resistance mutations

to identify mechanisms of escape across viral strains and subtypes by producing and testing complete libraries

of Env mutants; (3) Determine the nature of clinically relevant bNAb-resistant HIV-1 variants that can be selected

in cell culture in the presence or absence of autologous serum; (4) Develop computational models that define

mechanisms of HIV-1 bNAb resistance by integrating the sequence information obtained from Aims 1-3.

Grant Number: 5U01AI169385-04
NIH Institute/Center: NIH

Principal Investigator: Marina Caskey

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