• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于基因分型和对接分析,利用来自印度北部未经 ART 治疗和一线治疗失败的 HIV-1 亚型 C 蛋白酶序列预测耐药性。

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.

机构信息

Department of Immunopathology, Post Graduate Institute of Medical Education & Research, Chandigarh 160012, India.

出版信息

Antiviral Res. 2011 Nov;92(2):213-8. doi: 10.1016/j.antiviral.2011.08.005. Epub 2011 Aug 22.

DOI:10.1016/j.antiviral.2011.08.005
PMID:21875619
Abstract

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.

摘要

基因分型结果显示,根据斯坦福耐药数据库,一线治疗失败患者的 HIV-1 蛋白酶(PR)基因中出现耐药相关突变。为了建立一个针对 C 亚型的特异性预测模型,我们构建了一个局部野生型 C 变异的三维结构,并引入鉴定出的突变来评估突变对蛋白酶抑制剂(PI)的影响在同源模型中。我们对 129 名未经治疗的和 20 名一线治疗失败的个体的 HIV 分离物进行了病毒载量、CD4 计数和耐药基因分型。与斯坦福基因数据库中的 B 亚型序列相比,在未经治疗的个体的 HIV-1 C 亚型分离物中检测到了几种基因型变异。其中,12S、15V、19I、36I、41K、63P、69K、89M 和 93L 这 9 个突变发生在超过 60%的分离物中,被认为是分子建模研究的本地野生型。在未经治疗的个体的 PR 序列中未发现主要突变,尽管来自两名患者的分离物具有 T74S 突变,已知该突变与奈非那韦(NFV)的敏感性降低有关,而来自 77 名患者(59.7%)的分离物中发现的 M36I、H69K 和 L89M 突变被认为对替拉那韦(TPV)有耐药性根据 ANRS 算法。在一线治疗失败的患者中,来自一名患者的分离物显示出 L33F、I47T、M46G 和 G48E 突变,对沙奎那韦(SQV)和洛匹那韦(LPV)具有中度耐药性。尽管对接能量评分与 SQV 的这一解释一致,但它表明这些突变导致对阿扎那韦(ATV)和替拉那韦(TPV)的中高水平耐药性,但使 LPV 具有敏感性。该患者最终对包含 3TC、AZT 和 LPV 的二线方案有反应,病毒载量显著降低。所有耐药基因分型研究都使用基于 B 亚型特异性序列的现有数据库分析结果。本研究中提出的同源模型是独特的,因为它可能预测针对现有 PI 的 C 亚型特异性敏感性标准。

相似文献

1
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.基于基因分型和对接分析,利用来自印度北部未经 ART 治疗和一线治疗失败的 HIV-1 亚型 C 蛋白酶序列预测耐药性。
Antiviral Res. 2011 Nov;92(2):213-8. doi: 10.1016/j.antiviral.2011.08.005. Epub 2011 Aug 22.
2
Characterization of HIV type 1 subtype C protease gene: selection of L63P mutation in protease inhibitor-naive Indian patients.1型人类免疫缺陷病毒C亚型蛋白酶基因的特征分析:在未接受蛋白酶抑制剂治疗的印度患者中L63P突变的选择
AIDS Res Hum Retroviruses. 2011 Nov;27(11):1249-53. doi: 10.1089/AID.2011.0078. Epub 2011 May 9.
3
Drug resistant mutations detected by genotypic drug resistance testing in patients failing therapy in clade C HIV-1 infected individuals from India.在来自印度的C型HIV-1感染个体中,对治疗失败患者进行基因分型耐药性检测所发现的耐药突变。
Indian J Med Microbiol. 2009 Jul-Sep;27(3):231-6. doi: 10.4103/0255-0857.53205.
4
Zero prevalence of primary drug resistance-associated mutations to protease inhibitors in HIV-1 drug-naive patients in and around Aligarh, India.印度阿里格尔及其周边地区初治的HIV-1患者中,蛋白酶抑制剂相关的原发性耐药突变患病率为零。
J Infect Dev Ctries. 2014 Jan 15;8(1):79-85. doi: 10.3855/jidc.3480.
5
Drug resistance-associated genotypic alterations in the pol gene of HIV type 1 isolates in ART-naive individuals in North India.印度北部初治个体中1型艾滋病毒分离株pol基因的耐药相关基因改变
AIDS Res Hum Retroviruses. 2008 Feb;24(2):125-30. doi: 10.1089/aid.2007.0156.
6
Prediction of early and confirmed virological response by genotypic inhibitory quotients for lopinavir in patients naïve for lopinavir with limited exposure to previous protease inhibitors.对于初治洛匹那韦且既往蛋白酶抑制剂暴露有限的患者,通过洛匹那韦基因型抑制商预测早期和确诊病毒学应答。
J Clin Virol. 2006 Apr;35(4):414-9. doi: 10.1016/j.jcv.2005.10.001. Epub 2005 Nov 8.
7
The role of polymorphisms at position 89 in the HIV-1 protease gene in the development of drug resistance to HIV-1 protease inhibitors.HIV-1 蛋白酶基因第 89 位多态性在 HIV-1 蛋白酶抑制剂耐药性发展中的作用。
J Antimicrob Chemother. 2012 Apr;67(4):988-94. doi: 10.1093/jac/dkr582. Epub 2012 Feb 7.
8
Discordant genotypic interpretation and phenotypic role of protease mutations in HIV-1 subtypes B and G.HIV-1 B和G亚型中蛋白酶突变的基因型解释与表型作用不一致
J Antimicrob Chemother. 2009 Mar;63(3):593-9. doi: 10.1093/jac/dkn526. Epub 2009 Jan 10.
9
Characterization of protease resistance-associated mutations in HIV type 1 drug-naive patients following the increasing prevalence of the CRF02_AG strain in Morocco.在摩洛哥CRF02_AG毒株流行率上升后,对初治的1型艾滋病毒患者中与蛋白酶耐药相关突变的特征分析。
AIDS Res Hum Retroviruses. 2012 Jun;28(6):571-7. doi: 10.1089/AID.2011.0225. Epub 2012 May 3.
10
Impact of HIV-1 protease mutations A71V/T and T74S on M89I/V-mediated protease inhibitor resistance in subtype G isolates.HIV-1蛋白酶突变A71V/T和T74S对G亚型分离株中M89I/V介导的蛋白酶抑制剂耐药性的影响
J Antimicrob Chemother. 2008 Jun;61(6):1201-4. doi: 10.1093/jac/dkn099. Epub 2008 Mar 20.

引用本文的文献

1
Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2.评估一种用于预测 HIV、HBV 和 SARS-CoV-2 耐药突变的计算方法。
Molecules. 2022 Aug 24;27(17):5413. doi: 10.3390/molecules27175413.
2
Prediction and molecular field view of drug resistance in HIV-1 protease mutants.HIV-1 蛋白酶突变体耐药性的预测和分子场分析。
Sci Rep. 2022 Feb 21;12(1):2913. doi: 10.1038/s41598-022-07012-x.
3
Predicting, Diagnosing, and Treating Acute and Early HIV Infection in a Public Sector Facility in Eswatini.
在斯威士兰的一家公共部门机构中预测、诊断和治疗急性和早期 HIV 感染。
J Acquir Immune Defic Syndr. 2021 Dec 15;88(5):506-517. doi: 10.1097/QAI.0000000000002794.
4
RHIVDB: A Freely Accessible Database of HIV Amino Acid Sequences and Clinical Data of Infected Patients.RHIVDB:一个可免费访问的HIV氨基酸序列及感染患者临床数据数据库。
Front Genet. 2021 Jun 10;12:679029. doi: 10.3389/fgene.2021.679029. eCollection 2021.
5
An Innovative Sequence-to-Structure-Based Approach to Drug Resistance Interpretation and Prediction: The Use of Molecular Interaction Fields to Detect HIV-1 Protease Binding-Site Dissimilarities.一种基于序列到结构的创新方法用于耐药性解释和预测:利用分子相互作用场检测HIV-1蛋白酶结合位点的差异
Front Chem. 2020 Apr 29;8:243. doi: 10.3389/fchem.2020.00243. eCollection 2020.
6
Primary HIV Drug Resistance among Recently Infected Cases of HIV in North-West India.印度西北部近期感染艾滋病毒病例中的原发性艾滋病毒耐药性
AIDS Res Treat. 2019 Feb 27;2019:1525646. doi: 10.1155/2019/1525646. eCollection 2019.
7
Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics.利用 HIV 蛋白酶动力学的几何系综来描述早期耐药相关事件。
Sci Rep. 2018 Dec 18;8(1):17938. doi: 10.1038/s41598-018-36041-8.
8
Machine Learning to Improve the Effectiveness of ANRS in Predicting HIV Drug Resistance.机器学习助力提高法国国家艾滋病研究机构(ANRS)预测HIV耐药性的有效性。
Healthc Inform Res. 2017 Oct;23(4):271-276. doi: 10.4258/hir.2017.23.4.271. Epub 2017 Oct 31.
9
Emergence of drug resistance-associated mutations in HIV-1 subtype C protease gene in north India.印度北部HIV-1 C亚型蛋白酶基因中耐药相关突变的出现
Virus Genes. 2013 Dec;47(3):422-8. doi: 10.1007/s11262-013-0961-8. Epub 2013 Jul 26.