Rapid Diagnosis of Extensively Drug-Resistant Tuberculosis by Use of a Reverse Line Blot Hybridization Assay

Author:

Ajbani Kanchan1,Shetty Anjali2,Mehta Ajita2,Rodrigues Camilla2

Affiliation:

1. Department of Research, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India

2. Department of Microbiology, P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India

Abstract

ABSTRACT Drug resistance in tuberculosis (TB) is a matter of grave concern for TB control programs, as there is currently no cure for some extensively drug-resistant (XDR) strains. There is concern that this resistance could transmit, stressing the need for additional control measures, rapid diagnostic methods, and newer drugs for treatment. We developed an in-house assay that can rapidly detect resistance to drugs involved in the definition of XDR-TB directly from smear-positive specimens. Two hundred fifteen phenotypically XDR-TB isolates and 50 pansusceptible isolates were analyzed using a reverse line blot hybridization (RLBH) assay. The assay was also successfully applied to 73 smear-positive clinical specimens. The RLBH assay exhibited good sensitivity for the detection of resistance to isoniazid (99%), rifampin (99%), fluoroquinolones (95.3%), and second-line aminoglycosides (94.8%). The results from application of this assay on direct smear-positive clinical specimens revealed 93% concordance with the phenotypic drug susceptibility test (DST) results for the above-mentioned drugs. The time to accurate DST results was significantly reduced from weeks to 3 days. This molecular assay is a highly accurate tool for screening for XDR-TB, which achieves a substantial reduction in diagnostic delays.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3