Johann Wolfgang Goethe University Medical Center, Frankfurt am Main, Germany.
Gilead Sciences, Foster City, CA, USA.
J Hepatol. 2017 Aug;67(2):224-236. doi: 10.1016/j.jhep.2017.03.014. Epub 2017 Mar 24.
BACKGROUND & AIMS: HCV genotype, subtype, and presence of resistance-associated substitutions (RASs) are key determinants for the selection of direct-acting antiviral (DAA) treatment regimens. However, current HCV genotyping assays have limitations in differentiating between HCV subtypes, and RAS prevalence is largely undefined. The aim of this study was to investigate HCV epidemiology in 12,615 patient samples from 28 different countries across five geographic regions.
We compared HCV genotype and subtypes using INNO-LiPA 2.0 vs. amplicon sequencing among 8,945 patients from phase II/III clinical trials of DAAs. Global HCV molecular epidemiology in 12,615 patients was investigated. Subtype RAS prevalence was determined by population or deep sequencing, and phylogenetic analyses investigating subtype diversity were performed.
Although there was high concordance between INNO-LiPA and sequencing for genotype determination, INNO-LiPA was insufficient for subtype determination for genotype 2, 3, 4, and 6. Sequencing provided subtype refinement for 42%, 10%, 81%, and 78% of genotype 2, 3, 4, and six patients, respectively. Genotype discordance (genotype 2-genotype 1) was observed in 28 of 950 (3%) genotype 2 patients, consistent with inter-genotype recombinants. Sequencing-based analyses demonstrated variations in regional subtype prevalence, notably within genotype 2, 4 and 6. RAS prevalence varied by subtype, with the clinically relevant NS3 RAS Q80K found in genotype 1a, 5a and 6a and the NS5A RAS Y93H in genotype 1b, 3a, 4b, 4r and 7.
Together, these analyses provide an understanding of subtyping accuracy and RAS distribution that are crucial for the implementation of global HCV treatment strategies.
Hepatitis C virus (HCV) is highly variable, with seven genotypes and 67 subtypes characterized to date. The aim of this study was to i) compare two different methods of discriminating between genotypes; ii) investigate the prevalence of HCV subtypes for each genotype around the world; iii) find the prevalence of resistance-associated substitutions (RASs) in different subtypes. We found that both methods showed high concordance in genotype discrimination, but specific subtypes were not always identified accurately. Sequencing-based analyses demonstrated variations in regional subtype prevalence for some genotypes, notably within GT2, 4 and 6. RAS prevalence also varied by subtype. These variations could determine how successful different drugs are for treating HCV.
HCV 基因型、亚型和耐药相关替换(RAS)的存在是选择直接作用抗病毒(DAA)治疗方案的关键决定因素。然而,目前的 HCV 基因分型检测在区分 HCV 亚型方面存在局限性,而且 RAS 的流行率在很大程度上尚未确定。本研究旨在调查来自五个地理区域的 28 个不同国家的 12615 例患者样本中的 HCV 流行病学。
我们比较了 8945 例 DAA 二期/三期临床试验患者的 INNO-LiPA 2.0 与扩增子测序检测的 HCV 基因型和亚型。对 12615 例患者进行了全球 HCV 分子流行病学研究。通过群体或深度测序确定了亚型 RAS 的流行率,并进行了亚型多样性的系统发育分析。
尽管 INNO-LiPA 与测序在确定基因型方面具有高度一致性,但 INNO-LiPA 不足以确定基因型 2、3、4 和 6 的亚型。测序分别为 42%、10%、81%和 78%的基因型 2、3、4 和 6 患者提供了亚型细化。在 28 例(3%)基因型 2 患者中观察到基因型不一致(基因型 2-基因型 1),这与基因型间重组一致。基于测序的分析表明,区域亚型流行率存在差异,尤其是在基因型 2、4 和 6 中。RAS 的流行率因亚型而异,临床相关的 NS3 RAS Q80K 见于基因型 1a、5a 和 6a,而 NS5A RAS Y93H 见于基因型 1b、3a、4b、4r 和 7。
这些分析共同提供了对全球 HCV 治疗策略实施至关重要的亚分型准确性和 RAS 分布的理解。
了解 HCV 基因型和亚型对于选择 DAA 治疗方案以及预测治疗反应和病毒清除非常重要。本研究结果强调了准确确定 HCV 基因型和亚型的重要性,以指导 HCV 治疗决策。