Centre International de Recherche en Infectiologie (CIRI), INSERM U1111, Université de Lyon, Lyon, France; Hospices Civils de Lyon, Institut des Agents Infectieux, Laboratoire de Bactériologie, Lyon, France.
Centre International de Recherche en Infectiologie (CIRI), INSERM U1111, Université de Lyon, Lyon, France; Hospices Civils de Lyon, Institut des Agents Infectieux, Laboratoire de Bactériologie, Lyon, France.
Int J Antimicrob Agents. 2020 Apr;55(4):105912. doi: 10.1016/j.ijantimicag.2020.105912. Epub 2020 Jan 25.
Rapid and correct determination of Mycobacterium tuberculosis (MTB) drug susceptibility is a challenge for tuberculosis (TB) management. Phenotypic drug susceptibility testing (DST) remains the reference method but is time consuming. In this study, genotypic prediction of the first-line drug susceptibility profile obtained by whole-genome sequencing (WGS) was compared with that obtained by phenotypic DST and the line probe assay (LPA). All MTB strains isolated from patients during routine practice at the mycobacteria laboratory of Lyon University Hospital, France, between November 2016 and July 2019 were included (n = 274). Isolates were tested for the first-line drugs using phenotypic DST (Mycobacteria Growth Indicator Tube) and for genotypic prediction of the susceptibility profile with LPA and WGS. Considering phenotypic DST as the reference, WGS predicted resistance to rifampicin, isoniazid, ethambutol and pyrazinamide with sensitivities of 100%, 100%, 100% and 93.8%, respectively, and susceptibility to these drugs with specificities of 99.6%, 100%, 98.5% and 100%, respectively. Performance of the LPA was poorer, with sensitivity of 83.3% for rifampicin and 85.7% for isoniazid resistance. Five isolates were classified as susceptible according to phenotypic DST (1 for rifampicin, 4 for ethambutol) while WGS detected resistance mutations in rpoB and embB genes. WGS, used under appropriate quality-control conditions, has good performance to predict the resistance profile for the four first-line drugs and can correct phenotypic DST results. This study highlights the need for future guidelines recommending WGS as the initial tool in routine practice in areas where the prevalences of TB and drug-resistant MTB are low.
快速准确地确定结核分枝杆菌(MTB)的药物敏感性是结核病(TB)管理的一个挑战。表型药物敏感性测试(DST)仍然是参考方法,但耗时较长。在这项研究中,比较了全基因组测序(WGS)获得的一线药物敏感性谱的基因型预测与表型 DST 和线探针分析(LPA)的结果。2016 年 11 月至 2019 年 7 月期间,法国里昂大学医院分枝杆菌实验室在常规实践中从患者中分离的所有 MTB 菌株均纳入本研究(n=274)。使用表型 DST(分枝杆菌生长指示剂管)对分离株进行一线药物检测,并使用 LPA 和 WGS 对基因型预测药物敏感性谱进行检测。以表型 DST 为参考,WGS 对利福平、异烟肼、乙胺丁醇和吡嗪酰胺的耐药性预测具有 100%、100%、100%和 93.8%的敏感性,对这些药物的敏感性具有 99.6%、100%、98.5%和 100%的特异性。LPA 的性能较差,利福平的敏感性为 83.3%,异烟肼耐药性为 85.7%。5 株分离株根据表型 DST 被分类为敏感(1 株利福平,4 株乙胺丁醇),而 WGS 检测到 rpoB 和 embB 基因的耐药突变。在适当的质量控制条件下使用 WGS 具有良好的预测四种一线药物耐药谱的性能,并可纠正表型 DST 结果。本研究强调了在结核病和耐药 MTB 流行率低的地区,未来指南推荐将 WGS 作为常规实践中的初始工具的必要性。