grant

Cellular and viral determinants of the persistent HIV reservoir

Organization VA SAN DIEGO HEALTHCARE SYSTEMLocation SAN DIEGO, UNITED STATESPosted 1 Oct 2021Deadline 30 Sept 2026
VANIHUS FederalResearch GrantFY2025AIDS VirusAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency Syndrome VirusAddressAdherenceAntibodiesAssayBioassayBiological AssayBiological MarkersBiological Specimen BanksBiological Substance BanksBloodBlood Reticuloendothelial SystemBlood SampleBlood specimenBody TissuesC-C CKR-5C-C CKR-5 GeneC-C Chemokine Receptor Type 5C-C Chemokine Receptor Type 5 GeneCC Chemokine Receptor 5CC-CKR-5CC-CKR-5 GeneCC-CKR5CCCKR5CCCKR5 GeneCCR-5CCR-5 GeneCCR5CCR5 ProteinCCR5 ReceptorsCCR5 geneCD195 AntigenCD195 Antigen GeneCD4 CellsCD4 Positive T LymphocytesCD4 T cellsCD4 helper T cellCD4 lymphocyteCD4+ T-LymphocyteCD4-Positive LymphocytesCHEMR13CHEMR13 GeneCKR-5CKR-5 GeneCKR5CKR5 GeneCKR5 ReceptorsCMKBR5CMKBR5 GeneCXC-R4CXCR-4CXCR4CXCR4 geneCell BodyCell modelCellsCellular modelCenters for Disease ControlCenters for Disease Control and PreventionCenters for Disease Control and Prevention (U.S.)Chemokine (C-C Motif) Receptor 5Chemokine (C-C) Receptor 5Chemokine (C-C) Receptor 5 GeneChronicClinicalCollaborationsCoupledD2S201EDNADataDeoxyribonucleic AcidDevelopmentDiagnosisEnrollmentExperimental DesignsFB22Flow CytofluorometriesFlow CytofluorometryFlow CytometryFlow MicrofluorimetryFlow MicrofluorometryFutureGene ExpressionGene TranscriptionGenesGenetic TranscriptionGiftsGoalsHIVHIV InfectionsHIV-1 Fusion Co-ReceptorHIV-1 Fusion Co-Receptor GeneHM89HSY3RRHTLV-III InfectionsHTLV-III-LAV InfectionsHealth Care SystemsHeterogeneityHuman FigureHuman Immunodeficiency VirusesHuman T-Lymphotropic Virus Type III InfectionsHuman bodyImmunologic SubtypingImmunophenotypingIn VitroIndividualInfectionLAP3LAV-HTLV-IIILCR1LESTRLengthLymphadenopathy-Associated VirusLymphatic TissueLymphoid TissueMembrane Protein GeneMembrane ProteinsMembrane-Associated ProteinsMemoryNPY3RNPYRNPYRLNPYY3RNon-Polyadenylated RNAOutcomePathway interactionsPatientsPersonsPhenotypePopulationProteinsProvirusesRNARNA ExpressionRNA Gene ProductsRNA SeqRNA SplicingRNA sequencingRNAseqResearchRibonucleic AcidSamplingSplicingStimulusSurface ProteinsT-Cell SubsetsT-CellsT-LymphocyteT-Lymphocyte SubsetsT4 CellsT4 LymphocytesTechnologyTestingTissue SampleTissuesTranscriptTranscriptionTranslatingTreatment-related toxicityTropismUnited StatesUnited States Centers for Disease ControlUnited States Centers for Disease Control and PreventionVariantVariationVeteransViralVirusVirus-HIVantiretroviral therapyantiretroviral treatmentbio-markersbiologic markerbiological specimen repositorybiomarkerbiomarker identificationbiomarker selectionbiosample repositorybiospecimen bankbiospecimen repositorycell typecohortcostdevelopmentalenrollflow cytophotometryidentification of biomarkersidentification of new biomarkersimprovedin vivoinnovateinnovationinnovativelatent HIV reservoirlatent HIV-1 reservoirlatent HIV1 reservoirmarker identificationpathwayprotein biomarkersprotein markerspurgepurgespurgingresponsescRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingspecimen bankspecimen repositorytherapeutic toxicitytherapy associated toxicitytherapy related toxicitytherapy toxicitythymus derived lymphocytetranscriptome sequencingtranscriptomic sequencingtranscriptomicstreatment toxicitytreatment-associated toxicityviral reboundvirus rebound
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Full Description

Eradication of the latent HIV reservoir remains the major stumbling block to achieving cure. To eliminate this
reservoir, accurate definition (a biomarker) of latently infected cells of different types and within different

tissues is highly needed. Several biomarkers proposed previously were able to very modestly enrich (~10-fold)

for latently infected cells, but failed to capture the substantial portion of the latent reservoir. Without the

detailed characterization of latently infected cells, identification of a suitable biomarker to capture the majority

of the reservoir cells will remain challenging. Our long-term goal is to identify a biomarker of HIV latency that

can be translated into strategies to target latently infected cells for elimination. The overall objectives of this

application are to identify cellular and viral determinants of the persistent HIV reservoir and to test selected

biomarkers for their ability to capture latently infected cells in vitro and ex vivo. Our central hypothesis is that a

successful biomarker will be represented by reservoir determinants identified individually for cells of different

phenotypes and states. The term “phenotype” refers to the canonical phenotypic subsets defined with widely

used surface protein markers (for example, maturation phenotype – central memory; functional phenotype – T

helper 17). The term “state” refers to a cell state more broadly defined by the cell's total transcriptomic

signature: gene sets and pathways that are actively expressed. The rationale of the proposed research is the

expected improvement in the efficiency of the reservoir capture when heterogeneity of the reservoir cells is

taken into account. We will test our central hypothesis by pursuing the following specific aims: (1) Identify

cellular determinants of different reservoir subsets and test selected biomarkers for cell enrichment in vitro; (2)

Identify viral determinants of different reservoir subsets in vitro; (3) Validate the reservoir determinants and

selected biomarkers using samples from people with HIV. To identify cellular and viral determinants of the

persistent reservoir, latest innovations in RNA sequencing (RNA-Seq) technologies will be used. Single cell

RNA-Seq coupled with immunophenotyping will be used to characterize the phenotypes and states of cells that

can be infected with either CXCR4- or CCR5-tropic virus. Genes that can discriminate between latently

infected and uninfected cells will be identified individually within each cell type. To inform on how the identified

cellular determinants of the persistent reservoir relate to the type of provirus that they define, proviral activity in

different cell types will be characterized using single cell RNA-Seq data, full length sequencing of HIV

transcripts, and the PrimeFlow assay to quantify responsiveness of provirus to reactivation stimuli. Biomarkers

will be selected from sets of cellular determinants of the HIV reservoir in different cell subsets. Antibodies

against these proteins will be tested for the ability to efficiently capture the latently infected cells. Our ultimate

goal is to ensure that identified biomarkers can accurately define latently infected cells in clinical samples, and

specifically in different tissue compartments, where as much as 98% of the persistent reservoir resides in vivo.

In collaboration with the Last Gift cohort, we will have a unique opportunity to conduct studies to validate the

identified determinants and biomarkers using blood and lymphoid tissue samples from persons with HIV. When

these studies are complete, we will have identified biomarkers that can be used to capture latently infected

cells in vitro and ex vivo, with the efficiency of at least 500-fold greater than is currently achievable. These

results will be significant because identified biomarkers can be used to isolate reservoir cells from different

tissues to provide better characterization of the latent reservoir across the human body. In the future, these

biomarkers can serve as a platform for development of strategies to target latently infected cells for elimination.

Such research is important to address the needs of people living with HIV, including the large cohort of HIV-

infected patients within the national VA Healthcare System.

Grant Number: 5I01BX005285-04
NIH Institute/Center: VA

Principal Investigator: Nadejda Beliakova-Bethell

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