Literature DB >> 18768657

Rapid identification of mycobacteria from smear-positive sputum samples by nested PCR-restriction fragment length polymorphism analysis.

Tsu-Lan Wu1, Ju-Hsin Chia, An-Jing Kuo, Lin-Hui Su, Ting-Shu Wu, Hsin-Chih Lai.   

Abstract

The rapid identification of mycobacteria from smear-positive sputum samples is an important clinical issue. Furthermore, the availability of a cheap, technically simple, and accurate method also would benefit mycobacterial laboratories in developing countries. In the present study, we aimed to develop an assay allowing the identification of the Mycobacterium tuberculosis complex (MTBC) and other frequently isolated nontuberculous mycobacteria (NTM) directly from smear-positive sputum samples. A nested PCR-restriction fragment length polymorphism analysis (nested-PRA) assay that focuses on the analysis of the hsp65 gene was developed and evaluated for its efficiency compared to that of traditional culture methods and 16S rRNA gene sequencing identification. A total of 204 smear-positive and culture-positive sputum specimens were prospectively collected for analysis between November 2005 and May 2006. The samples were classified according to an acid-fast bacillus (AFB) staining scale as rare/1+, 2+, or 3+. The results of the nested-PRA showed that the identification rate for AFB 3+, AFB 2+, and AFB rare/1+ samples was 100, 95, and 53%, respectively, and that the overall identification rate was 89%. All positive results by the nested-PRA method agreed with the results by culture and 16S rRNA gene sequence analysis. The nested-PRA appears to have clinical applicability when used for the direct identification of mycobacterial organisms (both MTBC and NTM) that are present in smear-positive sputum samples, especially for countries in which MTBC is endemic.

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Year:  2008        PMID: 18768657      PMCID: PMC2576587          DOI: 10.1128/JCM.00856-08

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  30 in total

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