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下一代全基因组测序:机遇与挑战。

Next-Generation Whole Genome Sequencing: Opportunities and Challenges.

作者信息

Iketleng Thato, Lessells Richard, Dlamini Mlungisi Thabiso, Mogashoa Tuelo, Mupfumi Lucy, Moyo Sikhulile, Gaseitsiwe Simani, de Oliveira Tulio

机构信息

College of Health Sciences, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.

Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana.

出版信息

Tuberc Res Treat. 2018 Dec 9;2018:1298542. doi: 10.1155/2018/1298542. eCollection 2018.

Abstract

drug resistance is a threat to global tuberculosis (TB) control. Comprehensive and timely drug susceptibility determination is critical to inform appropriate treatment of drug-resistant tuberculosis (DR-TB). Phenotypic drug susceptibility testing (DST) is the gold standard for drug resistance determination. whole genome sequencing (WGS) has the potential to be a one-stop method for both comprehensive DST and epidemiological investigations. We discuss in this review the tremendous opportunities that next-generation WGS presents in terms of understanding the molecular epidemiology of tuberculosis and mechanisms of drug resistance. The potential clinical value and public health impact in the areas of DST for patient management and tracing of transmission chains for timely public health intervention are also discussed. We present the current challenges for the implementation of WGS in low and middle-income settings. WGS analysis has already been adapted routinely in laboratories to inform patient management and public health interventions in low burden high-income settings such as the United Kingdom. We predict that the technology will be adapted similarly in high burden settings where the impact on the epidemic will be greatest.

摘要

耐药性是全球结核病控制面临的一个威胁。全面且及时的药物敏感性测定对于指导耐多药结核病(DR-TB)的恰当治疗至关重要。表型药物敏感性试验(DST)是耐药性测定的金标准。全基因组测序(WGS)有潜力成为一种用于全面DST和流行病学调查的一站式方法。在本综述中,我们讨论了下一代WGS在理解结核病分子流行病学和耐药机制方面所带来的巨大机遇。还讨论了在患者管理的DST领域以及追踪传播链以便及时进行公共卫生干预方面的潜在临床价值和公共卫生影响。我们介绍了在低收入和中等收入环境中实施WGS目前面临的挑战。WGS分析已在实验室中常规应用,以指导英国等低负担高收入环境中的患者管理和公共卫生干预。我们预测,该技术将在高负担环境中得到类似应用,在这些环境中对疫情的影响将最大。

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