Literature DB >> 23982098

Rapid detection and differentiation of mycobacterial species using a multiplex PCR system.

Andrea Santos Lima1, Rafael Silva Duarte, Lílian Maria Lapa Montenegro, Haiana Charifker Schindler.   

Abstract

INTRODUCTION: The early diagnosis of mycobacterial infections is a critical step for initiating treatment and curing the patient. Molecular analytical methods have led to considerable improvements in the speed and accuracy of mycobacteria detection.
METHODS: The purpose of this study was to evaluate a multiplex polymerase chain reaction system using mycobacterial strains as an auxiliary tool in the differential diagnosis of tuberculosis and diseases caused by nontuberculous mycobacteria (NTM)
RESULTS: Forty mycobacterial strains isolated from pulmonary and extrapulmonary origin specimens from 37 patients diagnosed with tuberculosis were processed. Using phenotypic and biochemical characteristics of the 40 mycobacteria isolated in LJ medium, 57.5% (n=23) were characterized as the Mycobacterium tuberculosis complex (MTBC) and 20% (n=8) as nontuberculous mycobacteria (NTM), with 22.5% (n=9) of the results being inconclusive. When the results of the phenotypic and biochemical tests in 30 strains of mycobacteria were compared with the results of the multiplex PCR, there was 100% concordance in the identification of the MTBC and NTM species, respectively. A total of 32.5% (n=13) of the samples in multiplex PCR exhibited a molecular pattern consistent with NTM, thus disagreeing with the final diagnosis from the attending physician.
CONCLUSIONS: Multiplex PCR can be used as a differential method for determining TB infections caused by NTM a valuable tool in reducing the time necessary to make clinical diagnoses and begin treatment. It is also useful for identifying species that were previously not identifiable using conventional biochemical and phenotypic techniques.

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Year:  2013        PMID: 23982098     DOI: 10.1590/0037-8682-0097-2013

Source DB:  PubMed          Journal:  Rev Soc Bras Med Trop        ISSN: 0037-8682            Impact factor:   1.581


  2 in total

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Authors:  Guohui Xiao; Xing He; Su Zhang; Yaya Liu; Zhihang Liang; Houming Liu; Juanjuan Zhang; Min Ou; Shuhao Cai; Wenjie Lai; Tianyu Zhang; Lili Ren; Guoliang Zhang
Journal:  J Clin Microbiol       Date:  2020-01-28       Impact factor: 5.948

2.  Diagnosis of mycobacterial infections based on acid-fast bacilli test and bacterial growth time and implications on treatment and disease outcome.

Authors:  Fabiane N Riello; Rebecca T S Brígido; Sergio Araújo; Tomaz A Moreira; Luiz Ricardo Goulart; Isabela M B Goulart
Journal:  BMC Infect Dis       Date:  2016-04-01       Impact factor: 3.090

  2 in total

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