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HIV-1蛋白酶、逆转录酶和整合酶变异

HIV-1 Protease, Reverse Transcriptase, and Integrase Variation.

作者信息

Rhee Soo-Yon, Sankaran Kris, Varghese Vici, Winters Mark A, Hurt Christopher B, Eron Joseph J, Parkin Neil, Holmes Susan P, Holodniy Mark, Shafer Robert W

机构信息

Department of Medicine, Stanford University, Stanford, California, USA

Department of Statistics, Stanford University, Stanford, California, USA.

出版信息

J Virol. 2016 Jun 10;90(13):6058-6070. doi: 10.1128/JVI.00495-16. Print 2016 Jul 1.

Abstract

UNLABELLED

HIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-generation sequencing (NGS) to detect low-abundance HIV-1 variants. We analyzed PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to characterize variation at each amino acid position, identify mutations indicating APOBEC-mediated G-to-A editing, and identify mutations resulting from selective drug pressure. Forty-seven percent of PR, 37% of RT, and 34% of IN positions had one or more amino acid variants with a prevalence of ≥1%. Seventy percent of PR, 60% of RT, and 60% of IN positions had one or more variants with a prevalence of ≥0.1%. Overall 201 PR, 636 RT, and 346 IN variants had a prevalence of ≥0.1%. The median intersubtype prevalence ratios were 2.9-, 2.1-, and 1.9-fold for these PR, RT, and IN variants, respectively. Only 5.0% of PR, 3.7% of RT, and 2.0% of IN variants had a median intersubtype prevalence ratio of ≥10-fold. Variants at lower prevalences were more likely to differ biochemically and to be part of an electrophoretic mixture compared to high-prevalence variants. There were 209 mutations indicative of APOBEC-mediated G-to-A editing and 326 mutations nonpolymorphic treatment selected. Identification of viruses with a high number of APOBEC-associated mutations will facilitate the quality control of dried blood spot sequencing. Identifying sequences with a high proportion of rare mutations will facilitate the quality control of NGS.

IMPORTANCE

Most antiretroviral drugs target three HIV-1 proteins: PR, RT, and IN. These proteins are highly variable: many different amino acids can be present at the same position in viruses from different individuals. Some of the amino acid variants cause drug resistance and occur mainly in individuals receiving antiretroviral drugs. Some variants result from a human cellular defense mechanism called APOBEC-mediated hypermutation. Many variants result from naturally occurring mutation. Some variants may represent technical artifacts. We studied PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to quantify variation at each amino acid position in these three HIV-1 proteins. We performed analyses to determine which amino acid variants resulted from antiretroviral drug selection pressure, APOBEC-mediated editing, and naturally occurring variation. Our results provide information essential to clinical, research, and public health laboratories performing genotypic resistance testing by sequencing HIV-1 PR, RT, and IN.

摘要

未标注

HIV-1蛋白酶(PR)、逆转录酶(RT)和整合酶(IN)的变异性给进行基因耐药性检测的实验室带来了挑战。随着对富含前病毒DNA的样本(如干血斑)进行更多测序以及更多地使用下一代测序(NGS)来检测低丰度HIV-1变体,这一挑战将日益严峻。我们分析了超过100,000名个体的PR和RT序列以及超过10,000名个体的IN序列,以表征每个氨基酸位置的变异情况,识别表明APOBEC介导的G到A编辑的突变,并识别由选择性药物压力导致的突变。47%的PR位置、37%的RT位置和34%的IN位置有一个或多个氨基酸变体,其流行率≥1%。70%的PR位置、60%的RT位置和60%的IN位置有一个或多个变体,其流行率≥0.1%。总体而言,201个PR变体、636个RT变体和346个IN变体的流行率≥0.1%。这些PR、RT和IN变体的亚型间流行率中位数比值分别为2.9倍、2.1倍和1.9倍。只有5.0%的PR变体、3.7%的RT变体和2.0%的IN变体的亚型间流行率中位数比值≥10倍。与高流行率变体相比,低流行率的变体在生化性质上更有可能不同,并且更有可能是电泳混合物的一部分。有209个表明APOBEC介导的G到A编辑的突变以及326个非多态性治疗选择的突变。识别具有大量APOBEC相关突变的病毒将有助于干血斑测序的质量控制。识别具有高比例罕见突变的序列将有助于NGS的质量控制。

重要性

大多数抗逆转录病毒药物靶向三种HIV-1蛋白:PR、RT和IN。这些蛋白具有高度变异性:在来自不同个体的病毒中,同一位置可能存在许多不同的氨基酸。一些氨基酸变体导致耐药性,主要发生在接受抗逆转录病毒药物治疗的个体中。一些变体是由一种称为APOBEC介导的高突变的人类细胞防御机制导致的。许多变体是自然发生的突变导致的。一些变体可能代表技术假象。我们研究了超过100,000名个体的PR和RT序列以及超过10,000名个体的IN序列,以量化这三种HIV-1蛋白中每个氨基酸位置的变异情况。我们进行了分析,以确定哪些氨基酸变体是由抗逆转录病毒药物选择压力、APOBEC介导的编辑和自然发生的变异导致的。我们的结果为通过对HIV-1 PR、RT和IN进行测序来进行基因耐药性检测的临床、研究和公共卫生实验室提供了至关重要的信息。

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