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通过扩增子测序直接从临床样本中对耐药结核分枝杆菌分离株进行快速药敏试验:一项概念验证研究。

Rapid Drug Susceptibility Testing of Drug-Resistant Mycobacterium tuberculosis Isolates Directly from Clinical Samples by Use of Amplicon Sequencing: a Proof-of-Concept Study.

作者信息

Colman Rebecca E, Anderson Julia, Lemmer Darrin, Lehmkuhl Erik, Georghiou Sophia B, Heaton Hannah, Wiggins Kristin, Gillece John D, Schupp James M, Catanzaro Donald G, Crudu Valeriu, Cohen Ted, Rodwell Timothy C, Engelthaler David M

机构信息

Pathogen Genomics, Translational Genomics Research Institute, Flagstaff, Arizona, USA

Pathogen Genomics, Translational Genomics Research Institute, Flagstaff, Arizona, USA.

出版信息

J Clin Microbiol. 2016 Aug;54(8):2058-67. doi: 10.1128/JCM.00535-16. Epub 2016 May 25.

DOI:10.1128/JCM.00535-16
PMID:27225403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4963505/
Abstract

Increasingly complex drug-resistant tuberculosis (DR-TB) is a major global health concern and one of the primary reasons why TB is now the leading infectious cause of death worldwide. Rapid characterization of a DR-TB patient's complete drug resistance profile would facilitate individualized treatment in place of empirical treatment, improve treatment outcomes, prevent amplification of resistance, and reduce the transmission of DR-TB. The use of targeted next-generation sequencing (NGS) to obtain drug resistance profiles directly from patient sputum samples has the potential to enable comprehensive evidence-based treatment plans to be implemented quickly, rather than in weeks to months, which is currently needed for phenotypic drug susceptibility testing (DST) results. In this pilot study, we evaluated the performance of amplicon sequencing of Mycobacterium tuberculosis DNA from patient sputum samples using a tabletop NGS technology and automated data analysis to provide a rapid DST solution (the Next Gen-RDST assay). One hundred sixty-six out of 176 (94.3%) sputum samples from the Republic of Moldova yielded complete Next Gen-RDST assay profiles for 7 drugs of interest. We found a high level of concordance of our Next Gen-RDST assay results with phenotypic DST (97.0%) and pyrosequencing (97.8%) results from the same clinical samples. Our Next Gen-RDST assay was also able to estimate the proportion of resistant-to-wild-type alleles down to mixtures of ≤1%, which demonstrates the ability to detect very low levels of resistant variants not detected by pyrosequencing and possibly below the threshold for phenotypic growth methods. The assay as described here could be used as a clinical or surveillance tool.

摘要

日益复杂的耐药结核病(DR-TB)是全球主要的健康问题,也是结核病成为全球主要感染性致死原因的主要原因之一。快速确定DR-TB患者的完整耐药谱将有助于采用个体化治疗取代经验性治疗,改善治疗效果,防止耐药性扩散,并减少DR-TB的传播。使用靶向新一代测序(NGS)直接从患者痰液样本中获取耐药谱,有可能迅速实施基于全面证据的治疗方案,而不是像目前表型药物敏感性测试(DST)结果那样需要数周甚至数月时间。在这项初步研究中,我们使用台式NGS技术和自动化数据分析评估了从患者痰液样本中扩增结核分枝杆菌DNA测序的性能,以提供快速DST解决方案(下一代RDST检测法)。来自摩尔多瓦共和国的176份痰液样本中有166份(94.3%)获得了针对7种感兴趣药物的完整下一代RDST检测谱。我们发现我们的下一代RDST检测结果与来自相同临床样本的表型DST(97.0%)和焦磷酸测序(97.8%)结果高度一致。我们的下一代RDST检测法还能够估计耐药等位基因与野生型等位基因的比例,低至≤1%的混合物,这表明能够检测到焦磷酸测序未检测到的极低水平耐药变异,可能低于表型生长方法的阈值。本文所述的检测法可作为临床或监测工具使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79b/4963505/f6658c0ab3fa/zjm9990950820002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79b/4963505/354c92c96378/zjm9990950820001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79b/4963505/f6658c0ab3fa/zjm9990950820002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79b/4963505/354c92c96378/zjm9990950820001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e79b/4963505/f6658c0ab3fa/zjm9990950820002.jpg

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Whole genome sequencing reveals genomic heterogeneity and antibiotic purification in Mycobacterium tuberculosis isolates.全基因组测序揭示了结核分枝杆菌分离株中的基因组异质性和抗生素纯化情况。
BMC Genomics. 2015 Oct 24;16:857. doi: 10.1186/s12864-015-2067-2.
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Performance Comparison of Three Rapid Tests for the Diagnosis of Drug-Resistant Tuberculosis.
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bioRxiv. 2025 Mar 10:2025.03.09.642295. doi: 10.1101/2025.03.09.642295.
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Field evaluation of nanopore targeted next-generation sequencing to predict drug-resistant tuberculosis from native sputum in South Africa and Zambia.纳米孔靶向新一代测序技术用于预测南非和赞比亚痰液样本中耐多药结核病的现场评估
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