Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
PLoS One. 2012;7(5):e36494. doi: 10.1371/journal.pone.0036494. Epub 2012 May 4.
Great efforts have been made to increase accessibility of HIV antiretroviral therapy (ART) in low and middle-income countries. The threat of wide-scale emergence of drug resistance could severely hamper ART scale-up efforts. Population-based surveillance of transmitted HIV drug resistance ensures the use of appropriate first-line regimens to maximize efficacy of ART programs where drug options are limited. However, traditional HIV genotyping is extremely expensive, providing a cost barrier to wide-scale and frequent HIV drug resistance surveillance.
METHODS/RESULTS: We have developed a low-cost laboratory-scale next-generation sequencing-based genotyping method to monitor drug resistance. We designed primers specifically to amplify protease and reverse transcriptase from Brazilian HIV subtypes and developed a multiplexing scheme using multiplex identifier tags to minimize cost while providing more robust data than traditional genotyping techniques. Using this approach, we characterized drug resistance from plasma in 81 HIV infected individuals collected in São Paulo, Brazil. We describe the complexities of analyzing next-generation sequencing data and present a simplified open-source workflow to analyze drug resistance data. From this data, we identified drug resistance mutations in 20% of treatment naïve individuals in our cohort, which is similar to frequencies identified using traditional genotyping in Brazilian patient samples.
The developed ultra-wide sequencing approach described here allows multiplexing of at least 48 patient samples per sequencing run, 4 times more than the current genotyping method. This method is also 4-fold more sensitive (5% minimal detection frequency vs. 20%) at a cost 3-5× less than the traditional Sanger-based genotyping method. Lastly, by using a benchtop next-generation sequencer (Roche/454 GS Junior), this approach can be more easily implemented in low-resource settings. This data provides proof-of-concept that next-generation HIV drug resistance genotyping is a feasible and low-cost alternative to current genotyping methods and may be particularly beneficial for in-country surveillance of transmitted drug resistance.
为提高中低收入国家获得艾滋病毒抗逆转录病毒疗法(ART)的可及性,各国做出了巨大努力。耐药性的广泛出现可能会严重阻碍扩大 ART 的努力。基于人群的传播 HIV 耐药性监测可确保在药物选择有限的情况下使用适当的一线方案,使 ART 方案的疗效最大化。然而,传统的 HIV 基因分型非常昂贵,这给广泛和频繁的 HIV 耐药性监测带来了成本障碍。
方法/结果:我们开发了一种低成本的实验室规模的基于下一代测序的基因分型方法来监测耐药性。我们专门设计了引物来扩增巴西 HIV 亚型的蛋白酶和逆转录酶,并开发了一种多重方案,使用多重标识符标签来最小化成本,同时提供比传统基因分型技术更强大的数据。使用这种方法,我们对来自巴西圣保罗的 81 名 HIV 感染者的血浆进行了耐药性特征分析。我们描述了分析下一代测序数据的复杂性,并提出了一种简化的开源工作流程来分析耐药性数据。从这些数据中,我们确定了我们队列中 20%的未经治疗个体存在耐药突变,这与在巴西患者样本中使用传统基因分型确定的频率相似。
这里描述的超宽测序方法允许每个测序运行至少对 48 个患者样本进行多重分析,是目前基因分型方法的 4 倍。这种方法的灵敏度也提高了 4 倍(最低检测频率为 5%,而传统的 Sanger 基因分型方法为 20%),成本也降低了 3-5 倍。最后,通过使用台式下一代测序仪(Roche/454 GS Junior),这种方法可以更轻松地在资源有限的环境中实施。这些数据提供了下一代 HIV 耐药基因分型是目前基因分型方法的可行且低成本替代方法的概念验证,对于国内传播耐药性的监测可能特别有益。