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首页> 外文期刊>Journal of Clinical Microbiology >Validation of pncA Gene Sequencing in Combination with the Mycobacterial Growth Indicator Tube Method To Test Susceptibility of Mycobacterium tuberculosis to Pyrazinamide
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Validation of pncA Gene Sequencing in Combination with the Mycobacterial Growth Indicator Tube Method To Test Susceptibility of Mycobacterium tuberculosis to Pyrazinamide

机译:pncA基因测序与分枝杆菌生长指示管法结合用于检验结核分枝杆菌对吡嗪酰胺的敏感性的验证

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Pyrazinamide is important in the treatment of tuberculosis. Unfortunately, the diagnosis of pyrazinamide resistance is hampered by technical difficulties. We hypothesized that mutation analysis combined with the mycobacterial growth indicator tube (MGIT) phenotypic method would be a good predictor of pyrazinamide resistance. We prospectively analyzed 1,650 M. tuberculosis isolates referred to our tuberculosis reference laboratory in 2008 and 2009. In our laboratory, the MGIT 960 system was used for pyrazinamide resistance screening. If a pyrazinamide-resistant strain was detected, we performed a pncA gene mutation analysis. A second MGIT 960 susceptibility assay was performed afterwards to evaluate the accuracy of the pncA mutation analysis to detect true- or false-positive MGIT results. We observed pyrazinamide resistance in 69 samples using the first MGIT 960 analysis. In a second MGIT 960 analysis, 47 of the 69 samples proved susceptible (68% false positivity). Sensitivity of nonsynonymous pncA mutations for detecting resistant isolates was 73% (95% confidence interval [CI], 61% to 73%), and specificity was 100% (95% CI, 95% to 100%). A diagnostic algorithm incorporating phenotypic and molecular methods would have a 100% positive predictive value for detecting pyrazinamide-resistant isolates, indicating that such an algorithm, based on both methods, is a good predictor for pyrazinamide resistance in routine diagnostics.
机译:吡嗪酰胺在结核病的治疗中很重要。不幸的是,吡嗪酰胺抗性的诊断受到技术难题的阻碍。我们假设突变分析与分枝杆菌生长指示器管(MGIT)表型方法相结合可以很好地预测吡嗪酰胺耐药性。我们前瞻性地分析了2008年和2009年转介给我们结核病参考实验室的1,650株结核分枝杆菌。在我们的实验室中,MGIT 960系统用于吡嗪酰胺抗性筛查。如果检测到吡嗪酰胺抗性菌株,我们进行了 pncA 基因突变分析。随后进行第二次MGIT 960敏感性试验,以评估 pncA 突变分析检测MGIT结果为真或假的准确性。我们使用首次MGIT 960分析观察了69个样品中的吡嗪酰胺抗性。在第二次MGIT 960分析中,证实了69个样本中的47个易感(假阳性率为68%)。非同义的 pncA 突变对耐药菌株的敏感性为73%(95%置信区间[CI],从61%至73%),特异性为100%(95%CI,从95%至100%) )。结合表型和分子方法的诊断算法对于检测耐吡嗪酰胺的菌株具有100%的阳性预测值,表明基于这两种方法的这种算法是常规诊断中吡嗪酰胺抗性的良好预测指标。

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