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A method for accurate and sensitive detection of HIV drug-resistant minority variants

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41AI122855-01A1
Agency Tracking Number: R41AI122855
Amount: $253,244.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: NIAID
Solicitation Number: PA15-270
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-03-15
Award End Date (Contract End Date): 2018-02-28
Small Business Information
3416 ASHWOOD DR
Bloomington, IN 47401-9762
United States
DUNS: 079455600
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 GARY WANG
 (812) 339-3057
 gary.wang@uphs.upenn.edu
Business Contact
 RICHARD WAGNER
Phone: (812) 339-3057
Email: rewagner@mdbiotec.com
Research Institution
N/A
Abstract

DESCRIPTION provided by applicant Drug resistance to HIV is a major threat to achieving long term viral suppression in HIV individuals Up to of newly infected individuals acquire HIV with resistance to at least one of the major antiretroviral classes and incomplete viral suppression and virologic failure are often associated with drug resistance Therefore current DHHS guideline recommends drug resistance testing before beginning or changing antiretroviral therapy Genotypic assay based on population or bulk sequencing is the most commonly used method to determine HIV drug resistance mutations However because HIV circulates as quasispecies in vivo current commercial assays are not sensitive in detecting minority drug resistant variants which are known to compromise clinical response to antiretroviral therapy Therefore an accurate and sensitive assay that is capable of detecting drug resistant minority populations is urgently needed to determine the impact of HIV minor variants on viral suppression and guide rational selection of optimal antiretroviral therapy The objective of this Phase I STTR application is to develop a sensitive assay that can accurately quantify HIV minority variants Recently Dr Wangandapos s PI University of Florida laboratory developed a Single Variant Sequencing SVS approach which takes advantage of the speed and accuracy of the high throughput MiSeq technology and a random sequencing tags strategy that removes biases and technical artifacts known to obscure true representations of minority variants By developing a bioinformatics pipeline that automates analysis of drug resistance calls his laboratory has applied this SVS approach to quantify minor HCV resistance associated variants in clinical samples Medosome Biotec and its research partner at UF hypothesize that this SVS approach can be optimized to quantify minority populations of drug resistant HIV accurately In Phase I the team will test this hypothesis by pursuing two Specific Aims Optimize the SVS method for sensitive and accurate quantification of HIV drug resistance minority variants and Conduct initial testing of the optimized SVS method using laboratory HIV strains and clinical isolates The SVS approach for HIV resistance testing is innovative because it will leverage the speed accuracy and the long paired end read capability of MiSeq personal sequencer and the random sequencing tag method to produce a new HIV resistance assay for quantitative detection of HIV minor variants If successful the SVS assay will be validated and developed in Phase II studies An accurate and sensitive low cost SVS assay will have tremendous commercialization potential given the global burden of HIV with more than million HIV individuals requiring resistance testing at least once

PUBLIC HEALTH RELEVANCE Minority populations of drug resistant HIV can compromise response to successful antiretroviral therapy However current commercial assays cannot detect or quantify minority drug resistant virus The proposed work will produce a sensitive and quantitative assay that can accurately measure minority drug resistant HIV which will be further developed as a commercial assay in Phase II studies

* Information listed above is at the time of submission. *

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