Universidade do Estado do Pará, Instituto de Ciências Biológicas e da Saúde, Pós-Graduação em Biologia Parasitária na Amazônia, Belém, PA, Brasil.
Instituto Evandro Chagas, Seção de Bacteriologia e Micologia, Ananindeua, PA, Brasil.
Mem Inst Oswaldo Cruz. 2021 Jan 29;115:e200520. doi: 10.1590/0074-02760200520. eCollection 2021.
The evaluation of procedures for drug susceptibility prediction of Mycobacterium tuberculosis based on genomic data against the conventional reference method test based on culture is realistic considering the scenario of growing number of tools proposals based on whole-genome sequences (WGS).
This study aimed to evaluate drug susceptibility testing (DST) outcome based on WGS tools and the phenotypic methods performed on isolates of M. tuberculosis Lineage 1 from the state of Pará, Brazil, generally associated with low levels of drug resistance.
Culture based DST was performed using the Proportion Method in Löwenstein-Jensen medium on 71 isolates that had been submitted to WGS. We analysed the seven main genome sequence-based tools for resistance and lineage prediction applied to M. tuberculosis and for comparison evaluation we have used the Kappa concordance test.
When comparing the WGS-based tools against the DST, we observed the highest level of agreement using TB-profiler. Among the tools, TB-profiler, KvarQ and Mykrobe were those which identified the largest number of TB-MDR cases. Comparing the four most sensitive tools regarding resistance prediction, agreement was observed for 43 genomes.
Drug resistance profiling using next-generation sequencing offers rapid assessment of resistance-associated mutations, therefore facilitating rapid access to effective treatment.
考虑到基于全基因组序列(WGS)的工具提案数量不断增加,基于基因组数据评估结核分枝杆菌药敏预测程序与基于培养的传统参考方法测试相比具有现实意义。
本研究旨在评估巴西帕拉州结核分枝杆菌 1 谱系分离株基于 WGS 工具和表型方法的药敏试验(DST)结果,这些分离株通常与低水平耐药相关。
对 71 株已提交 WGS 的分离株,在 Löwenstein-Jensen 培养基中采用比例法进行基于培养的 DST。我们分析了应用于结核分枝杆菌的七个主要基于全基因组序列的耐药和谱系预测工具,并使用 Kappa 一致性检验进行了比较评估。
当将基于 WGS 的工具与 DST 进行比较时,我们观察到 TB-profiler 的一致性最高。在这些工具中,TB-profiler、KvarQ 和 Mykrobe 能够识别出最多的 TB-MDR 病例。在比较四种最敏感的耐药预测工具时,对于 43 个基因组,观察到了一致性。
使用下一代测序进行耐药谱分析可快速评估耐药相关突变,从而促进获得有效治疗。