A low-cost in-house HIV integrase strand transfer inhibitor drug resistance test for resource-limited settings

Abstract

Background: HIV-1 drug resistance testing (DRT) is vital for monitoring of individual patient treatment outcomes and for public health surveillance. Access to HIV-1 DRT is limited in resource-poor settings, including Kenya due to its costly nature. Recent inclusion of integrase strand transfer inhibitors (INSTIs) in first-line treatment for all people living with HIV-1 (PLHIV-1) underscores the need for an INSTI DRT. This study aims to validate a cost-effective in-house DRT method to detect HIV-1 Integrase resistance-associated mutations (RAMs) using HIV positive plasma derived samples Methods: Thirty-six plasma derived samples were used to assess the performance characteristics including accuracy, precision, reproducibility and amplification sensitivity of an in-house method in comparison with a reference assay. Cost estimation per test followed an incremental ingredient costing approach. Clinical application of the in-house test was evaluated on a plasma sample from a patient failing an INSTI-based regimen. Results: Comparison of the in-house and reference assay gave mean nucleotide and amino acid sequence identity of 99.49 %, CI [99.21- 99.77] and 99%, CI [98.58, 99.42] respectively. Complete concordance was observed by both assays in detection of the T97TA INSTI RAM. Precision and reproducibility assessment revealed mean nucleotide sequence identities of 100% and 99.14% respectively. The amplification sensitivity was 100% for samples with VL> 1000 copies/mL (n=8) and 50% for samples with VL<1000 copies/mL. Two major (G118R and E188K) and two accessory INSTI mutations (G149A and E157Q) were detected from the clinical sample of a patient failing an INSTI-based therapy. Cost analysis estimated the cost per test at $50.31. Conclusion: The developed HIV-Integrase assay met the validation acceptance criteria and demonstrates the ability to detect clinically relevant INSTI-resistance-associated mutations, highlighting its potential use as an alternative to commercial INSTI tests in resource-limited settings.