MTB-DR-RIF 9G test: Detection and discrimination of tuberculosis and multi-drug resistant tuberculosis strains

Keum Soo Song, Satish Balasaheb Nimse, Nam Hoon Cho, Nackmoon Sung, Hee Jin Kim, Jeongseong Yang, Taisun Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This report describes the evaluation of the novel MTB-DR-RIF 9G test for the accurate detection and discrimination of Mycobacterium tuberculosis (MTB) and rifampicin-resistant M. Tuberculosis (MTB-DR-RIF) in the clinical samples. The procedure included the amplification of a nucleotide fragment of the rpoB gene of the MTB and MTB-DR-RIF strains and their hybridization with the immobilized probes. The MTB-DR-RIF 9G test was evaluated for its ability to detect and discriminate MTB and MTB-DR-RIF strains in 113 known clinical samples. The accuracy of the MTB-DR-RIF 9G test was determined by comparing its results with sequencing analysis and drug susceptibility testing. The sensitivity and specificity of the MTB-DR-RIF 9G test at 95% confidence interval were found to be 95.4% (89.5-98.5) and 100% (69.2-100), respectively. The positive predictive value and negative predictive value of the MTB-DR-RIF 9G test at 95% confidence interval were found to be 100% (85.0-95.9) and 66.7% (38.4-88.18), respectively. Sequencing analysis of all samples indicated that the mutations present in the regions identified with the MTB-DR-RIF 9G assay can be detected accurately.

Original languageEnglish
Pages (from-to)780-785
Number of pages6
JournalTuberculosis
Volume95
Issue number6
DOIs
Publication statusPublished - 2015 Dec 1

Bibliographical note

Funding Information:
This study was supported by the grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (Project No.: HI13C0858) and the grant of Ministry of Trade, Industry & Energy (MOTIE) , Korea Institute for Advancement of Technology(KIAT) and Gangwon Institute for Regional Program Evaluation(GWIRPE) through the Leading Industry Development for Economic Region).

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Immunology
  • Microbiology (medical)
  • Infectious Diseases

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