Evaluation of the BACTEC MGIT 960 system and the resazurin microtiter assay for susceptibility testing of Mycobacterium tuberculosis to second-line drugs.

Autor: Gallo JF; Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz, Av. Dr. Arnaldo, 351 - 9° andar, 01246-902 São Paulo, SP, Brazil., Pinhata JMW; Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz, Av. Dr. Arnaldo, 351 - 9° andar, 01246-902 São Paulo, SP, Brazil. Electronic address: jupinhata@ial.sp.gov.br., Saraceni CP; Unidade Integrada de TI e Comunicação, Instituto Adolfo Lutz, Av. Dr. Arnaldo, 351 - 9° andar, 01246-902 São Paulo, SP, Brazil., de Oliveira RS; Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz, Av. Dr. Arnaldo, 351 - 9° andar, 01246-902 São Paulo, SP, Brazil.
Jazyk: angličtina
Zdroj: Journal of microbiological methods [J Microbiol Methods] 2017 Aug; Vol. 139, pp. 168-171. Date of Electronic Publication: 2017 Jun 07.
DOI: 10.1016/j.mimet.2017.06.007
Abstrakt: Drug resistance in tuberculosis is a major threat to public health and control of the disease worldwide. Given the need of a rapid and accurate detection of Mycobacterium tuberculosis resistance to second-line drugs, this study evaluated the performance of the BACTEC MGIT 960 for second-line, drug susceptibility testing in comparison with the resazurin microtiter assay (REMA), in order to implement the automated methodology in the diagnostic routine of a reference laboratory. Drug susceptibility testing (DST) for second-line drugs of 151 MDR M. tuberculosis clinical isolates was performed by both BACTEC MGIT 960 and REMA, and a panel of 26 M. tuberculosis reference isolates from a proficiency test was tested by the BACTEC MGIT 960. DST for second-line drugs by the BACTEC MGIT 960 system was more rapid, highly reproducible and showed 100% of proficiency. After these results, this methodology was successfully implemented in our diagnostic routine for all MDR-TB patients.
(Copyright © 2017 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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