首页> 外文期刊>Antiviral Research >Prediction of drug-resistance in HIV-1 subtype C based on protease sequences from ART naive and first-line treatment failures in North India using genotypic and docking analysis.
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Prediction of drug-resistance in HIV-1 subtype C based on protease sequences from ART naive and first-line treatment failures in North India using genotypic and docking analysis.

机译:基于基因型和对接分析,基于来自印度纯种抗病毒疗法和印度北部一线治疗失败的蛋白酶序列,预测HIV-1 C亚型的耐药性。

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Genotyping reveal emergence of drug resistance (DR)-related mutations in HIV-1 protease (PR) gene in the first-line treatment failure patients as per Stanford DR database. In order to have a subtype C specific prediction model, a three dimensional structure of local wild type C variant is created and the identified mutations were introduced to assess the mutational effects on protease inhibitors (PI) in a homology model. We estimated viral load, CD4 count and conducted DR genotyping in HIV isolates from 129 therapy naive and 20 first-line treatment failure individuals. Several genotypic variations, as compared to subtype B sequence in the Stanford gene database were detected in HIV-1 subtype C isolates from treatment naive individuals. Among these, nine mutations (12S, 15V, 19I, 36I, 41K, 63P, 69K, 89M, 93L) occurred in more than 60% of the isolates and were considered as local wild type for molecular modelling studies. No major mutations were seen in the PR sequences in isolates from treatment-naive individuals, although isolates from two patients had T74S mutation, known to be associated with reduced susceptibility to nelfinavir (NFV) and a combination of M36I, H69K and L89M mutations found in isolates from 77 patients (59.7%), considered to be conferring resistance to tipranavir (TPV) according to ANRS algorithm. Among the first-line treatment failures, an isolate from one patient showed L33F, I47T, M46G, and G48E mutations conferring intermediate resistance to saquinavir (SQV) and lopinavir (LPV). Though the docking energy scores are in agreement with this interpretation for SQV, it, however, indicated these mutations to be causing intermediate to high level resistance to atazanavir (ATV) and tipranavir (TPV) but making it susceptible to LPV. The patient finally responded to a second-line regimen containing 3TC, AZT and LPV with significant viral suppression. All the DR genotyping studies analyse the results using available databases which are all based on subtype B specific sequences. The proposed homology model in this study is unique, as it may predict subtype C specific susceptibility criteria for the available PIs.
机译:根据Stanford DR数据库,基因分型揭示了一线治疗失败患者中HIV-1蛋白酶(PR)基因中与耐药(DR)相关的突变的出现。为了具有C亚型特异性预测模型,创建了局部野生C型变体的三维结构,并引入了已鉴定的突变,以评估同源模型中对蛋白酶抑制剂(PI)的突变作用。我们估计了来自129名未接受过治疗的初次治疗和20例一线治疗失败者的HIV分离株的病毒载量,CD4计数并进行了DR基因分型。与斯坦福基因数据库中的亚型B序列相比,在未经治疗的HIV-1亚型C分离株中检测到了几种基因型变异。其中,超过60%的分离株中发生了9种突变(12S,15V,19I,36I,41K,63P,69K,89M,93L),并被认为是分子模型研究中的局部野生型。尽管来自两名患者的分离株具有T74S突变,已知与耐尔福那韦(NFV)的敏感性降低有关,并且在两个患者中发现了M36I,H69K和L89M突变的组合,但在未经治疗的个体中,PR序列中未见主要突变。从77例患者(59.7%)中分离出的分离株,根据ANRS算法被认为对替普那韦(TPV)具有抗药性。在第一线治疗失败中,一名患者的分离株显示L33F,I47T,M46G和G48E突变,赋予沙奎那韦(SQV)和洛匹那韦(LPV)中等耐药性。尽管对接能量得分与SQV的解释相符,但是它表明这些突变正在引起对阿扎那韦(ATV)和替拉那韦(TPV)的中等至高水平抗药性,但使其对LPV易感。患者最终对包含3TC,AZT和LPV的二线治疗方案产生了明显的病毒抑制作用。所有的DR基因分型研究都使用可用的数据库来分析结果,这些数据库均基于B型特异性序列。本研究中提议的同源性模型是独特的,因为它可以预测可用PI的C型亚型特异性敏感性标准。

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