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

病毒学 基因分型 抗性突变 抗药性 病毒载量 突变 艾滋病毒耐药性 逆转录酶 逆转录酶抑制剂 病毒 蛋白酶抑制剂(药理学) 人类免疫缺陷病毒(HIV) 整合酶抑制剂 医学 生物 基因型 抗逆转录病毒疗法 聚合酶链反应 遗传学 基因
作者
Stéphanie Raymond,Nicolas Jeanne,Florence Nicot,Chloé Diméglio,Romain Carcenac,Agnès Harter,Noémie Ranger,Guillaume Martin‐Blondel,Pierre Delobel,Jacques Izopet
出处
期刊:Journal of Antimicrobial Chemotherapy [Oxford University Press]
卷期号:78 (2): 346-353 被引量:2
标识
DOI:10.1093/jac/dkac391
摘要

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.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.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).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.
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