کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8420610 1545899 2018 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detection of resistance to fluoroquinolones and injectable drugs among antituberculosis drugs by allele-specific primer extension on a microsphere-based platform
ترجمه فارسی عنوان
تشخیص مقاومت در برابر فلوروکینولون ها و داروهای تزریقی در میان داروهای ضد توبولوزیس با استفاده از الگوی پرایمر اختصاصی آلل در یک پلت فرم مبتنی بر میکروسفور
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوتکنولوژی یا زیست‌فناوری
چکیده انگلیسی
Molecular drug susceptibility testing (DST) for antituberculosis drugs is important for improving the efficacy of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) treatment. In this study, we developed a molecular high-throughput assay system based on allele-specific primer extension (ASPE) and MagPlex-TAG microspheres, referred to here as TAG-ASPE, which can detect mutations related to resistance to injectable second-line drugs and fluoroquinolones. Target genes were amplified by multiplex PCR using DNA from H37Rv and 190 clinical Mycobacterium tuberculosis strains and extended by ASPE using 22 ASPE primers. ASPE products were then sorted on the TAG-ASPE array and detected using a Luminex 200 system. The performance of the TAG-ASPE method was compared with that of sequencing and phenotypic DST. Comparison of the TAG-ASPE method with sequencing showed that the sensitivity and specificity of the TAG-ASPE method were 100% [95% confidence interval (CI), 96.38-100%] and 100% (95% CI, 95.70-100%) for the rrs gene and 100% (95% CI, 96.90-100%) and 100% (95% CI, 95.07-100%) for the gyrA gene, respectively. Compared with phenotypic DST, the sensitivity and specificity of the TAG-ASPE method for detecting drug-resistance mutations against injectable second-line drugs were 92.52% (95% CI, 85.8-96.72%) and 98.7% (95% CI, 92.98-99.97%), respectively. Additionally, the sensitivity and specificity for fluoroquinolone-resistance detection were 85.4% (95% CI, 78.36-90.85%) and 100% (95% CI, 92.38-100%), respectively. The results of this study demonstrate that the TAG-ASPE method can effectively detect mutations conferring resistance to second-line antituberculosis drugs in numerous clinical specimens.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Microbiological Methods - Volume 144, January 2018, Pages 111-116
نویسندگان
, , , ,