Title |
Some Synonymous and Nonsynonymous gyrA Mutations in Mycobacterium tuberculosis Lead to Systematic False-Positive Fluoroquinolone Resistance Results with the Hain GenoType MTBDRsl Assays
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Published in |
Antimicrobial Agents and Chemotherapy, March 2017
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DOI | 10.1128/aac.02169-16 |
Pubmed ID | |
Authors |
Adebisi Ajileye, Nataly Alvarez, Matthias Merker, Timothy M. Walker, Suriya Akter, Kerstin Brown, Danesh Moradigaravand, Thomas Schön, Sönke Andres, Viola Schleusener, Shaheed V. Omar, Francesc Coll, Hairong Huang, Roland Diel, Nazir Ismail, Julian Parkhill, Bouke C. de Jong, Tim E. A. Peto, Derrick W. Crook, Stefan Niemann, Jaime Robledo, E. Grace Smith, Sharon J. Peacock, Claudio U. Köser |
Abstract |
We demonstrated that some non-synonymous and synonymous mutations in gyrA in Mycobacterium tuberculosis result in systematic false-resistance results to fluoroquinolones using the Hain GenoType MTBDRsl assays (version 1 and 2) by preventing the binding of wild-type probes. Moreover, such mutations can prevent the binding of mutant probes, designed for the identification of specific resistance mutations. Although these mutations are likely rare globally, they occur in approximately 7% of multidrug-resistant tuberculosis strains in some settings. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Denmark | 1 | 11% |
Venezuela, Bolivarian Republic of | 1 | 11% |
Brazil | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 67% |
Scientists | 3 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 91 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 15 | 16% |
Researcher | 13 | 14% |
Other | 9 | 10% |
Student > Ph. D. Student | 9 | 10% |
Student > Bachelor | 6 | 7% |
Other | 16 | 18% |
Unknown | 23 | 25% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 18 | 20% |
Medicine and Dentistry | 18 | 20% |
Agricultural and Biological Sciences | 12 | 13% |
Immunology and Microbiology | 6 | 7% |
Computer Science | 2 | 2% |
Other | 6 | 7% |
Unknown | 29 | 32% |