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OLA-Simple: A software-guided HIV-1 drug resistance test for low-resource laboratories.
- Source :
-
EBioMedicine [EBioMedicine] 2019 Dec; Vol. 50, pp. 34-44. Date of Electronic Publication: 2019 Nov 22. - Publication Year :
- 2019
-
Abstract
- Background: HIV drug resistance (HIVDR) testing can assist clinicians in selecting treatments. However, high complexity and cost of genotyping assays limit routine testing in settings where HIVDR prevalence has reached high levels.<br />Methods: The oligonucleotide ligation assay (OLA)-Simple kit was developed for detection of HIVDR against first-line non-nucleoside/nucleoside reverse transcriptase inhibitors and validated on 672 codons (168 specimens) from subtypes A, B, C, D, and AE. The kit uses dry reagents to facilitate assay setup, lateral flow devices for visual HIVDR detections, and in-house software with an interface for guiding users and analyzing results.<br />Findings: HIVDR analysis of specimens by OLA-Simple compared to Sanger sequencing revealed 99.6 ± 0.3% specificity and 98.2 ± 0.9% sensitivity, and compared to high-sensitivity assays, 99.6 ± 0.6% specificity and 86.2 ± 2.5% sensitivity, with 2.6 ± 0.9% indeterminate results. OLA-Simple was performed more rapidly compared to Sanger sequencing (<4 h vs. 35-72 h). Forty-one untrained volunteers blindly tested two specimens each with 96.8 ± 0.8% accuracy.<br />Interpretation: OLA-Simple compares favorably with HIVDR genotyping by Sanger and sensitive comparators. Instructional software enabled inexperienced, first-time users to perform the assay with high accuracy. The reduced complexity, cost, and training requirements of OLA-Simple could improve access to HIVDR testing in low-resource settings and potentially allow same-day selection of appropriate antiretroviral therapy. FUND: USA National Institutes of Health R01; the Clinical and Retrovirology Research Core and the Molecular Profiling and Computational Biology Core of the UW CFAR; Seattle Children's Research Institute; UW Holloman Innovation Challenge Award; Pilcher Faculty Fellowship.<br /> (Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Anti-HIV Agents therapeutic use
Computational Biology standards
Genotype
HIV Infections drug therapy
HIV Infections virology
Humans
Microbial Sensitivity Tests
Mutation
Reagent Kits, Diagnostic
Research Design
Workflow
Anti-HIV Agents pharmacology
Computational Biology methods
Drug Resistance, Viral
Genotyping Techniques
HIV Infections diagnosis
HIV-1 drug effects
HIV-1 genetics
Software
Subjects
Details
- Language :
- English
- ISSN :
- 2352-3964
- Volume :
- 50
- Database :
- MEDLINE
- Journal :
- EBioMedicine
- Publication Type :
- Academic Journal
- Accession number :
- 31767540
- Full Text :
- https://doi.org/10.1016/j.ebiom.2019.11.002