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. 2020 Dec 1;34(15):2201-2210.
doi: 10.1097/QAD.0000000000002697.

Resistance profile of HIV-1 quasispecies in patients under treatment failure using single molecule, real-time sequencing

Daniela C Monaco  1 , Lucas Zapata  2 , Eric Hunter  1   3 , Horacio Salomon  2 , Dario A Dilernia  1   3
Affiliations

Resistance profile of HIV-1 quasispecies in patients under treatment failure using single molecule, real-time sequencing

Daniela C Monaco et al. AIDS. .

Abstract

Objective: Short-read next-generation sequencing (NGS) has been implemented to study the resistance profile of HIV as it provides a higher sensitivity than Sanger sequencing. However, short-reads only generates a consensus view of the viral population rather than a reconstruction of the viral haplotypes. In this study, we evaluated the resistance profile of HIV quasispecies in patients undergoing treatment failure using SMRT sequencing.

Design: Whole-pol RT-PCR was performed on viral RNA extracted from plasma samples of 38 HIV-positive individuals undergoing treatment failure, and sequenced in the RSII instrument. Error correction and viral haplotype phasing was performed with the Multilayer Directed Phasing and Sequencing (MDPSeq) algorithm. Presence of resistance mutations reported by the IAS-USA in 2017 was assessed using an in-house script.

Results: The SMRT sequencing-based test detected 131/134 resistance mutations previously detected using a Sanger sequencing-based test. However, the SMRT test also identified seven additional mutations present at an estimated frequency lower than 30%. The intra-host phylogenetic analysis showed that seven samples harbored at least one resistance variant at 20--80% frequency. The haplotype-resolved sequencing revealed viral diversification and selection of new resistance during suboptimal treatment, an overall trend toward selection and accumulation of new resistance mutations, as well as the co-existence of resistant and susceptible variants.

Conclusion: Our results validate the SMRT sequencing-based test for detection of HIV drug resistance. In addition, this method unraveled the complex dynamic of HIV quasispecies during treatment failure, which might have several implications on clinical management.

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