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Correlation between GenoType MTBDRplus Assay and Phenotypic Susceptibility Test for Prothionamide in Patients with Genotypic Isoniazid Resistance

  • Lee, Joo Hee (Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Jo, Kyung-Wook (Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Shim, Tae Sun (Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine)
  • 투고 : 2018.03.28
  • 심사 : 2018.06.25
  • 발행 : 2019.04.30

초록

Background: The purpose of this study was to analyze the relationship between the gene mutation patterns by the GenoType MTBDRplus (MTBDRplus) assay and the phenotypic drug susceptibility test (pDST) results of isoniazid (INH) and prothionamide (Pto). Methods: A total of 206 patients whose MTBDRplus assay results revealed katG or inhA mutations were enrolled in the study. The pDST results were compared to mutation patterns on the MTBDRplus assay. Results: The katG and inhA mutations were identified in 68.0% and 35.0% of patients, respectively. Among the 134 isolated katG mutations, three (2.2%), 127 (94.8%) and 11 (8.2%) were phenotypically resistant to low-level INH, high-level INH, and Pto, respectively. Among the 66 isolated inhA mutations, 34 (51.5%), 18 (27.3%) and 21 (31.8%) were phenotypically resistant to low-level INH, high-level INH, and Pto, respectively. Of the 34 phenotypic Pto resistant isolates, 21 (61.8%), 11 (32.4%), and two (5.9%) had inhA, katG, and both gene mutations. Conclusion: It is noted that Pto may still be selected as one of the appropriate multidrug-resistant tuberculosis regimen, although inhA mutation is detected by the MTBDRplus assay until pDST confirms a Pto resistance. The reporting of detailed mutation patterns of the MTBDRplus assay may be important for clinical practice, rather than simply presenting resistance or susceptibility test results.

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피인용 문헌

  1. The Value of the inhA Mutation Detection in Predicting Ethionamide Resistance Using Melting Curve Technology vol.14, 2019, https://doi.org/10.2147/idr.s268799