HIV-1 resistance genotyping by ultra-deep sequencing and 6-month virological response to first-line treatment

Author:

Raymond Stéphanie12ORCID,Jeanne Nicolas2,Nicot Florence2,Dimeglio Chloé2,Carcenac Romain2,Harter Agnès2,Ranger Noémie2,Martin-Blondel Guillaume13,Delobel Pierre13ORCID,Izopet Jacques12

Affiliation:

1. Toulouse Institute for Infectious and Inflammatory Diseases (INFINITy) , INSERM UMR 1291 - CNRS UMR 5051, Toulouse , France

2. CHU de Toulouse, Hôpital Purpan, Laboratoire de Virologie , Toulouse, F-31300 France

3. CHU de Toulouse, Hôpital Purpan, Service des Maladies Infectieuses et Tropicales , Toulouse, F-31300 France

Abstract

Abstract Objectives To evaluate the routine use of the Sentosa ultra-deep sequencing (UDS) system for HIV-1 polymerase resistance genotyping in treatment-naïve individuals and to analyse the virological response (VR) to first-line antiretroviral treatment. Methods HIV drug resistance was determined on 237 consecutive samples from treatment-naïve individuals using the Sentosa UDS platform with two mutation detection thresholds (3% and 20%). VR was defined as a plasma HIV-1 virus load <50 copies/mL after 6 months of treatment. Results Resistance to at least one antiretroviral drug with a mutation threshold of 3% was identified in 29% and 16% of samples according to ANRS and Stanford algorithms, respectively. The ANRS algorithm also revealed reduced susceptibility to at least one protease inhibitor (PI) in 14.3% of samples, to one reverse transcriptase inhibitor in 12.7%, and to one integrase inhibitor (INSTI) in 5.1%. For a mutation threshold of 20%, resistance was identified in 24% and 13% of samples according to ANRS and Stanford algorithms, respectively. The 6 months VR was 87% and was similar in the 58% of patients given INSTI-based treatment, in the 16% given PI-based treatment and in the 9% given NNRTI-based treatment. Multivariate analysis indicated that the VR was correlated with the baseline HIV virus load and resistance to at least one PI at both 3% and 20% mutation detection thresholds (ANRS algorithm). Conclusions The Vela UDS platform is appropriate for determining antiretroviral resistance in patients on a first-line antiretroviral treatment. Further studies are needed on the use of UDS for therapeutic management.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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