Unit Bacterial Diseases Service, Infectious Diseases in Humans, Sciensano, Brussels, Belgium.
Transversal Activities in Applied Genomics (TAG), Sciensano, Brussels, Belgium.
Acta Clin Belg. 2022 Oct;77(5):853-860. doi: 10.1080/17843286.2021.1999588. Epub 2021 Nov 9.
Since January 2019, the Belgian National Reference Center for Mycobacteria (NRC) has switched from conventional typing to prospective whole-genome sequencing (WGS) of all submitted complex (MTB) isolates. The ISO17025 validated procedure starts with semi-automated extraction and purification of gDNA directly from the submitted MGIT tubes, without preceding subculturing. All samples are then sequenced on an Illumina MiSeq sequencer and analyzed using an in-house developed and validated bioinformatics workflow to determine the species and antimicrobial resistance. In this study, we retrospectively compare results obtained via WGS to conventional phenotypic and genotypic testing, for all Belgian MTB strains analyzed in 2019 (n = 306).
In all cases, the WGS-based procedure was able to identify correctly the MTB species. Compared to MGIT drug susceptibility testing (DST), the sensitivity and specificity of genetic prediction of resistance to first-line antibiotics were respectively 100 and 99% (rifampicin, RIF), 90.5 and 100% (isoniazid, INH), 100 and 98% (ethambutol, EMB) and 61.1 and 100% (pyrazinamide, PZA). The negative predictive value was above 95% for these four first-line drugs. A positive predictive value of 100% was calculated for INH and PZA, 80% for RIF and 45% for EMB.
Our study confirms the effectiveness of WGS for the rapid detection of complex and its drug resistance profiles for first-line drugs even when working directly on MGIT tubes, and supports the introduction of this test into the routine workflow of laboratories performing tuberculosis diagnosis.
自 2019 年 1 月以来,比利时分枝杆菌国家参考中心(NRC)已将所有提交的复杂分枝杆菌(MTB)分离株的常规分型转换为前瞻性全基因组测序(WGS)。经 ISO17025 验证的程序从提交的 MGIT 管中直接开始半自动提取和纯化 gDNA,无需事先传代培养。然后,所有样本均在 Illumina MiSeq 测序仪上测序,并使用内部开发和验证的生物信息学工作流程进行分析,以确定物种和抗微生物药物耐药性。在这项研究中,我们回顾性地比较了 2019 年分析的所有比利时 MTB 菌株的 WGS 与传统表型和基因型检测结果(n=306)。
在所有情况下,基于 WGS 的程序均能够正确识别 MTB 物种。与 MGIT 药敏试验(DST)相比,一线抗生素耐药性遗传预测的敏感性和特异性分别为 100%(利福平,RIF)和 99%(异烟肼,INH)、90.5%和 100%(乙胺丁醇,EMB)和 100%和 98%(吡嗪酰胺,PZA)。对于这四种一线药物,阴性预测值均高于 95%。INH 和 PZA 的阳性预测值为 100%,RIF 为 80%,EMB 为 45%。
我们的研究证实了 WGS 用于快速检测 MTB 及其对一线药物耐药谱的有效性,即使直接在 MGIT 管上进行,也支持将该检测引入进行结核病诊断的实验室常规工作流程中。