Literature DB >> 16547071

Rapid detection of specific gene mutations associated with isoniazid or rifampicin resistance in Mycobacterium tuberculosis clinical isolates using non-fluorescent low-density DNA microarrays.

Lina Marcela Aragón1, Ferran Navarro, Volker Heiser, Montserrat Garrigó, Montserrat Español, Pere Coll.   

Abstract

BACKGROUND: A new, fast 'low cost and density' DNA microarray (LCD array), designed for the detection of mutations that confer isoniazid or rifampicin resistance in Mycobacterium tuberculosis isolates, has been developed and was evaluated using 46 resistant clinical isolates from Barcelona.
METHODS: LCD chips are pre-structured polymer supports using a non-fluorescent detection principle based on the precipitation of a clearly visible dark substrate. One LCD chip consists of eight identical microarrays, designed to detect mutations within the 90 bp rpoB region, codon 315 in the katG gene and the mabA-inhA regulatory region. A total of 22 strains with a katG 315 mutation, 19 strains with alterations in the mabA-inhA regulatory region and 16 strains with mutations in the rpoB region, characterized previously, were studied.
RESULTS: The identification of S315T and S315N mutations using the LCD was 100% concordant with the sequencing data. A strain with the S315R mutation, which is not tiled on the LCD array, was detected by the absence of hybridization using the wild-type probe. Of 19 strains with low-level isoniazid resistance related to the mabA-inhA regulatory region, 18 were identified correctly. The detection of mutations in the rpoB region was 93.8% concordant with the sequencing data. One mabA-inhA and rpoB mutated strain showed a cross-hybridization.
CONCLUSIONS: The LCD array protocol takes 45 min (15 min 'hands-on' time) after prior PCR amplification. Only minimal laboratory equipment is required. LCD arrays provide a rapid and economical method to characterize mutations in codon 315 of the katG gene, in the mabA-inhA regulatory region and in the rpoB gene.

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Year:  2006        PMID: 16547071     DOI: 10.1093/jac/dkl058

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  12 in total

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Journal:  J Clin Microbiol       Date:  2007-01-17       Impact factor: 5.948

Review 2.  Basic concepts of microarrays and potential applications in clinical microbiology.

Authors:  Melissa B Miller; Yi-Wei Tang
Journal:  Clin Microbiol Rev       Date:  2009-10       Impact factor: 26.132

3.  Genetic Mimetics of Mycobacterium tuberculosis and Methicillin-Resistant Staphylococcus aureus as Verification Standards for Molecular Diagnostics.

Authors:  Edith Erika Machowski; Bavesh Davandra Kana
Journal:  J Clin Microbiol       Date:  2017-09-20       Impact factor: 5.948

4.  Genotypic Detection of rpoB and katG Gene Mutations Associated with Rifampicin and Isoniazid Resistance in Mycobacterium Tuberculosis Isolates: A Local Scenario (Kelantan).

Authors:  Nurul-Ain Ismail; Mohd Fazli Ismail; Siti Suraiya Md Noor; Siti Nazrina Camalxaman
Journal:  Malays J Med Sci       Date:  2016-01

5.  PCR-restriction fragment length polymorphism for rapid, low-cost identification of isoniazid-resistant Mycobacterium tuberculosis.

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Journal:  J Clin Microbiol       Date:  2007-04-11       Impact factor: 5.948

6.  Evaluation of FLASH - PCR forrapid detection of Mycobacterium tuberculosis from clinical specimens.

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Journal:  Iran J Microbiol       Date:  2013-12

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Journal:  J Orthop Surg Res       Date:  2014-12-03       Impact factor: 2.359

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Authors:  Pierre-Edouard Fournier; Michel Drancourt; Philippe Colson; Jean-Marc Rolain; Bernard La Scola; Didier Raoult
Journal:  Nat Rev Microbiol       Date:  2013-08       Impact factor: 60.633

10.  Genomic Analysis of Mycobacterium tuberculosis Isolates and Construction of a Beijing Lineage Reference Genome.

Authors:  Woei-Fuh Wang; Mei-Yeh Jade Lu; Ting-Jen Rachel Cheng; Yi-Ching Tang; Yu-Chuan Teng; Teh-Yang Hwa; Yi-Hua Chen; Meng-Yun Li; Mei-Hua Wu; Pei-Chun Chuang; Ruwen Jou; Chi-Huey Wong; Wen-Hsiung Li
Journal:  Genome Biol Evol       Date:  2020-02-01       Impact factor: 3.416

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