
doi: 10.1093/jac/dkac391
pmid: 36449383
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.
Emerging infectious diseases, [SDV.IMM] Life Sciences [q-bio]/Immunology, Genotype, Anti-HIV Agents, 610, HIV Infections, MESH: Hospitalization, MESH: Aftercare, Moderate to severe COVID-19, 616, Drug Resistance, Viral, HIV Seropositivity, MESH: COVID-19, Humans, MESH: SARS-CoV-2, HIV Integrase Inhibitors, Post-acute COVID-19 symptoms, MESH: Prevalence, MESH: Humans, MESH: Middle Aged, SARS-CoV-2, MESH: Patient Discharge, Cohort, MESH: Quality of Life, High-Throughput Nucleotide Sequencing, Viral Load, MESH: Male, MESH: Prospective Studies, Anti-Retroviral Agents, Mutation, HIV-1, [SDV.IMM]Life Sciences [q-bio]/Immunology, MESH: Female
Emerging infectious diseases, [SDV.IMM] Life Sciences [q-bio]/Immunology, Genotype, Anti-HIV Agents, 610, HIV Infections, MESH: Hospitalization, MESH: Aftercare, Moderate to severe COVID-19, 616, Drug Resistance, Viral, HIV Seropositivity, MESH: COVID-19, Humans, MESH: SARS-CoV-2, HIV Integrase Inhibitors, Post-acute COVID-19 symptoms, MESH: Prevalence, MESH: Humans, MESH: Middle Aged, SARS-CoV-2, MESH: Patient Discharge, Cohort, MESH: Quality of Life, High-Throughput Nucleotide Sequencing, Viral Load, MESH: Male, MESH: Prospective Studies, Anti-Retroviral Agents, Mutation, HIV-1, [SDV.IMM]Life Sciences [q-bio]/Immunology, MESH: Female
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