SBIR-STTR Award

Public Health Problem. The CDC estimates that in the U.S., 1,144,500 people aged 13 years and older are living with HIV infection, with approximately 180,900 (15.8%) others infected but undiagnosed. For most HIV-positive individuals, available drugs can only control HIV infection and delay progression to AIDS. HIV cure treatments in active development require validated biomarkers for HIV clearance from infected individuals. Issues with Current Solutions & How Product Meets Unmet Needs. Current methods of quantifying the HIV reservoir include the quantitative viral outgrowth assay (QVOA), PCR and RT-PCR. QVOA is a time and resource intensive procedure while RT-PCR can be used to detect viral RNA to 20-50 virus particles per mL and thus reduces the time to result of QVOA and is generally applicable for measuring viral load, but does not directly detect replication-competent HIV-infected cells. Fluorescence-activated cell sorting (FACS) using combined antibody and probe hybridizations requires multiple steps with significant loss of signal. In Jan Biotech’s assay, all RNA molecules are counted, whereas q and ddPCR are limited by the efficiency of reverse transcription. The capability of Jan Biotech’s sequence-based latent HIV assay to detect down to the single HIV-infected cell level would provide a high throughput, scalable assay critically needed to monitor latent HIV reservoirs. Summary of Approach. Jan Biotech’s assay employs sequence-specific fluorogenic probes with a high signal amplification to directly detect HIV RNA species. It will be evaluated for correlation with RT-ddPCR Transcriptional Profiling and QVOA. A statistical correlation of >0.6 with both comparison assays will be the milestone to move forward to Phase II validation testing and assessment of the predictive value of the assay for time to viral rebound after treatment interruption. Software analytics will be developed and shared open source. Collaborators and Unique Resources. Jan Biotech, Inc., with expertise in molecular diagnostic development, will collaborate with Dr. Steven Yukl, MD, UCSF/SFVAMC, for Transcriptional Profiling, with Michael Busch, MD, PhD, and Mars Stone, PhD, for the use of the RAVEN sample panels, and with Jonathan Li, MD, MMSc Associate Professor of Medicine at Harvard Medical School and Brigham and Women’s Hospital, Harris A. Gelbard, MD, PhD, of University of Rochester Medical School, and John Mellors, MD, of University of Pittsburgh Medical School, for ATCG sample testing. Fast-Track Specific Aims Specific Aim 1 (Phase I): Assay correlation to Transcriptional Profiling and QVOA orthogonal assays Comparison testing will be performed between Jan Biotech’s RNAamp assay and Dr. Yukl’s transcriptional profiling RT-ddPCR assays and QVOA. The Critical Phase I milestone will be a statistical correlation of 0.6 or better of RNAamp to both RT-ddPCR transcriptional profiling or QVOA values. Specific Aim 2 (Phase II): Assay validation using RAVEN Evaluation Panel and QVOA Samples Given successful completion of Phase I comparison testing between RNAamp and RT-ddPCR transcriptional profiling and achievement of the Phase I metric, in Aim 2, Jan Biotech will validate RNAamp using the Reservoir Assay Validation and Evaluation Network (RAVEN) Evaluation Panel. Specific Aim 3 (Phase II): Evaluation of clinical relevance to HIV reservoir activation This Aim will evaluate these novel biomarkers for prediction of time to HIV rebound, which is crucial to prioritize promising treatments to determine those participants likely to benefit from novel HIV remission strategies. Specific Aim 4 (Phase II): Software development and integration for assay analytics In Aim 4, we will build Bayesian software to analyze and share the data from the HIV reservoir RNAamp assay. Market after Phase II Completion. The end result of the project will be a validated sequence-based, quantitative HIV reservoir diagnostic assay and computational software that will enable us to proceed to the FDA approval process, including additional preclinical and clinical evaluation leading towards 510(k) approval, clinical trials, and commercialization of an accurate, high-throughput HIV reservoir assay.

Public Health Relevance Statement:
Project Narrative - Relevance to Public Health The UNAIDS estimates there are 36.9 million people living with HIV in the US but only 75% know they are HIV- positive. Highly active anti-retroviral therapy (HAART)/combination anti-retroviral therapy (cART), while keeping HIV infection in remission, fails to eradicate reservoirs of latent HIV-infected cells in patients. The proposed HIV reservoir diagnostic would support efforts to develop longer lasting treatments or an HIV cure by predicting whether an individual can safely end treatment and remain virus-free.

Project Terms:
13 year old; Achievement; Acquired Immunodeficiency Syndrome; Aftercare; AIDS clinical trial group; Antibodies; antiretroviral therapy; base; Base Sequence; Biological Assay; Biological Markers; Biotechnology; Calibration; CD4 Positive T Lymphocytes; Cell Count; Cells; Centers for Disease Control and Prevention (U.S.); Chemicals; Clinical; Clinical Trials; clinically relevant; Collaborations; Combined Modality Therapy; commercialization; Complementary DNA; Computer software; Consult; Correlation Studies; data sharing; Development; Diagnostic; diagnostic assay; Disease remission; Doctor of Philosophy; Evaluation; Fluorescence; Fluorescence-Activated Cell Sorting; Gene Expression Profiling; Highly Active Antiretroviral Therapy; HIV; HIV Infections; HIV Seropositivity; Hospitals; Human; Individual; internal control; Interruption; latent HIV reservoir; Length; Leukapheresis; Measurement; Measures; Medical center; medical schools; Medicine; Methods; mid-career faculty; molecular diagnostics; Monitor; multiplex detection; novel; novel marker; open source; Participant; Patients; Pharmaceutical Preparations; Phase; phase 2 testing; Planet Mars; preclinical evaluation; Predictive Value; Procedures; Process; Public Health; research clinical testing; Resources; Reverse Transcriptase Polymerase Chain Reaction; Reverse Transcription; RNA; Sampling; San Francisco; Shock; Signal Transduction; software development; Testing; therapy outcome; Time; Universities; Validation; Veterans; Viral; Viral Load result; viral rebound; viral RNA; Virion; Virus; Woman

Public Health Problem. The CDC estimates that in the U.S., 1,144,500 people aged 13 years and older are livingwith HIV infection, with approximately 180,900 (15.8%) others infected but undiagnosed. For most HIV-positiveindividuals, available drugs can only control HIV infection and delay progression to AIDS. HIV cure treatmentsin active development require validated biomarkers for HIV clearance from infected individuals.Issues with Current Solutions & How Product Meets Unmet Needs. Current methods of quantifying the HIVreservoir include the quantitative viral outgrowth assay (QVOA), PCR and RT-PCR. QVOA is a time and resourceintensive procedure while RT-PCR can be used to detect viral RNA to 20-50 virus particles per mL and thusreduces the time to result of QVOA and is generally applicable for measuring viral load, but does not directlydetect replication-competent HIV-infected cells. Fluorescence-activated cell sorting (FACS) using combinedantibody and probe hybridizations requires multiple steps with significant loss of signal. In Jan Biotech's assay,all RNA molecules are counted, whereas q and ddPCR are limited by the efficiency of reverse transcription. Thecapability of Jan Biotech's sequence-based latent HIV assay to detect down to the single HIV-infected cell levelwould provide a high throughput, scalable assay critically needed to monitor latent HIV reservoirs. of Approach. Jan Biotech's assay employs sequence-specific fluorogenic probes with a high signalamplification to directly detect HIV RNA species. It will be evaluated for correlation with RT-ddPCRTranscriptional Profiling and QVOA. A statistical correlation of >0.6 with both comparison assays will be themilestone to move forward to Phase II validation testing and assessment of the predictive value of the assay fortime to viral rebound after treatment interruption. Software analytics will be developed and shared open source.Collaborators and Unique Resources. Jan Biotech, Inc., with expertise in molecular diagnostic development, willcollaborate with Dr. Steven Yukl, MD, UCSF/SFVAMC, for Transcriptional Profiling, with Michael Busch, MD,PhD, and Mars Stone, PhD, for the use of the RAVEN sample panels, and with Jonathan Li, MD, MMScAssociate Professor of Medicine at Harvard Medical School and Brigham and Women's Hospital, Harris A.Gelbard, MD, PhD, of University of Rochester Medical School, and John Mellors, MD, of University of PittsburghMedical School, for ATCG sample testing.Fast-Track Specific AimsSpecific Aim 1 (Phase I): Assay correlation to Transcriptional Profiling and QVOA orthogonal assays Comparison testing will be performed between Jan Biotech's RNAamp assay and Dr. Yukl's transcriptional profiling RT-ddPCR assays and QVOA. The Critical Phase I milestone will be a statistical correlation of 0.6 or better of RNAamp to both RT-ddPCR transcriptional profiling or QVOA values.Specific Aim 2 (Phase II): Assay validation using RAVEN Evaluation Panel and QVOA Samples Given successful completion of Phase I comparison testing between RNAamp and RT-ddPCR transcriptional profiling and achievement of the Phase I metric, in Aim 2, Jan Biotech will validate RNAamp using the Reservoir Assay Validation and Evaluation Network (RAVEN) Evaluation Panel.Specific Aim 3 (Phase II): Evaluation of clinical relevance to HIV reservoir activation This Aim will evaluate these novel biomarkers for prediction of time to HIV rebound, which is crucial to prioritize promising treatments to determine those participants likely to benefit from novel HIV remission strategies.Specific Aim 4 (Phase II): Software development and integration for assay analytics In Aim 4, we will build Bayesian software to analyze and share the data from the HIV reservoir RNAamp assay.Market after Phase II Completion. The end result of the project will be a validated sequence-based, quantitativeHIV reservoir diagnostic assay and computational software that will enable us to proceed to the FDA approvalprocess, including additional preclinical and clinical evaluation leading towards 510(k) approval, clinical trials,and commercialization of an accurate, high-throughput HIV reservoir assay.

Public Health Relevance Statement:
Project Narrative - Relevance to Public Health The UNAIDS estimates there are 36.9 million people living with HIV in the US but only 75% know they are HIV- positive. Highly active anti-retroviral therapy (HAART)/combination anti-retroviral therapy (cART), while keeping HIV infection in remission, fails to eradicate reservoirs of latent HIV-infected cells in patients. The proposed HIV reservoir diagnostic would support efforts to develop longer lasting treatments or an HIV cure by predicting whether an individual can safely end treatment and remain virus-free.

Project Terms:
<13 year old><13 years of age>