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Analysis of potential household transmission events of tuberculosis in the city of Belem, Brazil.巴西贝伦市结核病潜在家庭传播事件分析。
Tuberculosis (Edinb). 2018 Dec;113:125-129. doi: 10.1016/j.tube.2018.09.011. Epub 2018 Oct 2.
2
Xpert Ultra Can Unambiguously Identify Specific Rifampin Resistance-Conferring Mutations.Xpert Ultra 能够明确鉴定出特定的利福平耐药性相关突变。
J Clin Microbiol. 2018 Aug 27;56(9). doi: 10.1128/JCM.00686-18. Print 2018 Sep.
3
Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.Xpert MTB/RIF Ultra 检测结核分枝杆菌和利福平耐药:一项前瞻性多中心诊断准确性研究。
Lancet Infect Dis. 2018 Jan;18(1):76-84. doi: 10.1016/S1473-3099(17)30691-6. Epub 2017 Nov 30.
4
The New Xpert MTB/RIF Ultra: Improving Detection of and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing.新型Xpert MTB/RIF Ultra:在适用于即时检测的检测方法中提高对结核分枝杆菌的检测及利福平耐药性检测
mBio. 2017 Aug 29;8(4):e00812-17. doi: 10.1128/mBio.00812-17.
5
Molecular mechanisms of action, resistance, detection to the first-line anti tuberculosis drugs: Rifampicin and pyrazinamide in the post whole genome sequencing era.全基因组测序时代一线抗结核药物利福平与吡嗪酰胺的作用、耐药及检测的分子机制
Tuberculosis (Edinb). 2017 Jul;105:96-107. doi: 10.1016/j.tube.2017.04.008. Epub 2017 Apr 22.
6
Whole-genome-based Mycobacterium tuberculosis surveillance: a standardized, portable, and expandable approach.基于全基因组的结核分枝杆菌监测:一种标准化、便携且可扩展的方法。
J Clin Microbiol. 2014 Jul;52(7):2479-86. doi: 10.1128/JCM.00567-14. Epub 2014 Apr 30.
7
Profiling of rpoB mutations and MICs for rifampin and rifabutin in Mycobacterium tuberculosis.结核分枝杆菌中rpoB基因突变及利福平与利福布汀最低抑菌浓度的分析
J Clin Microbiol. 2014 Jun;52(6):2157-62. doi: 10.1128/JCM.00691-14. Epub 2014 Apr 16.
8
Rifampin drug resistance tests for tuberculosis: challenging the gold standard.利福平耐药结核病检测:挑战金标准。
J Clin Microbiol. 2013 Aug;51(8):2633-40. doi: 10.1128/JCM.00553-13. Epub 2013 Jun 12.
9
Rapid universal identification of bacterial pathogens from clinical cultures by using a novel sloppy molecular beacon melting temperature signature technique.利用新型宽松分子信标熔解温度特征技术快速通用鉴定临床培养物中的细菌病原体。
J Clin Microbiol. 2010 Jan;48(1):258-67. doi: 10.1128/JCM.01725-09. Epub 2009 Nov 18.
10
Mycobacterium tuberculosis strains with highly discordant rifampin susceptibility test results.利福平药物敏感性试验结果高度不一致的结核分枝杆菌菌株。
J Clin Microbiol. 2009 Nov;47(11):3501-6. doi: 10.1128/JCM.01209-09. Epub 2009 Sep 16.

利用 Xpert MTB/RIF Ultra 检测生成的解链温度特征自动识别结核分枝杆菌中导致利福平耐药的个体基因突变。

Automatic Identification of Individual Gene Mutations Responsible for Rifampin Resistance in Mycobacterium tuberculosis by Use of Melting Temperature Signatures Generated by the Xpert MTB/RIF Ultra Assay.

机构信息

Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA.

Cepheid Inc., Sunnyvale, California, USA.

出版信息

J Clin Microbiol. 2019 Dec 23;58(1). doi: 10.1128/JCM.00907-19.

DOI:10.1128/JCM.00907-19
PMID:31533985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6935902/
Abstract

Molecular surveillance of rifampin-resistant can help to monitor the transmission of the disease. The Xpert MTB/RIF Ultra assay detects mutations in the rifampin resistance-determining region (RRDR) of the gene by the use of melting temperature ( ) information from 4 probes which can fall in one of the 9 different assay-specified windows. The large amount of data generated by the assay offers the possibility of an RRDR genotyping approach more accessible than whole-genome sequencing. In this study, we developed an automated algorithm to specifically identify a wide range of mutations in the RRDR by utilizing the pattern of the of the 4 probes within the 9 windows generated by the Ultra assay. The algorithm builds a RRDR mutation-specific " signature" reference library from a set of known mutations and then identifies the RRDR genotype of an unknown sample by measuring the distances between the test sample and the reference values. Validated using a set of clinical isolates, the algorithm correctly identified RRDR genotypes of 93% samples with a wide range of single and double mutations. Our analytical approach showed a great potential for fast RRDR mutation identification and may also be used as a stand-alone method for ruling out relapse or transmission between patients. The algorithm can be further modified and optimized for higher accuracy as more Ultra data become available.

摘要

利福平耐药的分子监测有助于监测疾病的传播。Xpert MTB/RIF Ultra 检测通过使用来自 4 个探针的熔解温度()信息来检测基因中的利福平耐药决定区(RRDR)突变,这 4 个探针可以落入 9 个不同检测指定窗口中的一个。该检测产生的大量数据提供了一种比全基因组测序更容易获得的 RRDR 基因分型方法的可能性。在这项研究中,我们开发了一种自动化算法,通过利用 Ultra 检测中 9 个窗口内 4 个探针的模式,专门识别 RRDR 中的广泛突变。该算法从一组已知突变构建 RRDR 突变特异性“特征”参考库,然后通过测量测试样本与参考值之间的距离来确定未知样本的 RRDR 基因型。该算法使用一组临床分离株进行验证,正确识别了 93%具有广泛单突变和双突变的样本的 RRDR 基因型。我们的分析方法显示出快速 RRDR 突变识别的巨大潜力,也可作为排除患者之间复发或传播的独立方法。随着更多 Ultra 数据的出现,该算法可以进一步修改和优化以提高准确性。