Mutation Patterns of Isoniazid and Second-Line Drug Resistance in Mycobacterium tuberculosis Complex Using Xpert MTB/XDR in Health Region 12, Thailand
Keywords:
Tuberculosis, Isoniazid resistance, Xpert MTB/XDR assayAbstract
Isoniazid-resistant tuberculosis (Hr-TB) is a major public health problem affecting the efficacy of standard anti-tuberculosis treatment regimens. This study aimed to investigate the mutation patterns of genes associated with resistance to Isoniazid (H) and second-line drug (SLD) in Mycobacterium tuberculosis complex (MTBC) using the Xpert MTB/XDR technique in Health Region 12 at the Tuberculosis Laboratory, TB Center 12, Yala, from October 2022 to September 2024. This retrospective descriptive study identified 211 Hr-TB patients. Most patients were male (male-to-female ratio 3:1), with a median age of 49.0 years (IQR 35–59 years). Newly diagnosed and previously treated cases accounted for 53.6% (n=113) and 46.4% (n=98), respectively. Among mutations associated with H resistance, inhA mutations were most common (53.1%), associated with low-level H resistance and cross-resistance to ethionamide (ETH), followed by katG mutations (42.7%), associated with high-level H resistance. fabG1 and oxyR-ahpC mutations were less frequently detected (3.3% and 0.9%, respectively). Regarding SLD resistance, fluoroquinolone (FLQ) resistance was detected in three cases (1.4%) due to gyrA mutations, and second-line injectable drug (SLID) resistance was identified in one case (0.5%) due to an rrs mutation. All SLD-resistant cases occurred in previously treated patients. In conclusion, the Xpert MTB/XDR assay is a rapid and effective tool for detecting drug resistance. The predominance of inhA over katG mutations reflects an area-specific pattern of H resistance and has important implications for treatment planning. The occurrence of SLD resistance exclusively among previously treated patients highlights the importance of comprehensive drug resistance testing at the initiation of retreatment. Further studies with larger sample sizes and whole-genome sequencing are recommended to monitor transmission dynamics and emerging drug resistance in this setting.
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