Ethiopian Public Health Institute, National Laboratory Capacity Building Directorate, Addis Ababa, Ethiopia.
Molecular and Experimental Mycobacteriology, Research Center Borstel, Sülfeld, Germany.
PLoS One. 2022 Aug 5;17(8):e0271508. doi: 10.1371/journal.pone.0271508. eCollection 2022.
Ethiopia is one of the high multidrug-resistant tuberculosis (MDR-TB) burden countries. However, phenotypic drug susceptibility testing can take several weeks due to the slow growth of Mycobacterium tuberculosis complex (MTBC) strains. In this study, we assessed the performance of a Sanger sequencing approach to predict resistance against five anti-tuberculosis drugs and the pattern of resistance mediating mutations.
We enrolled 226 MTBC culture-positive MDR-TB suspects and collected sputum specimens and socio-demographic and TB related data from each suspect between June 2015 and December 2016 in Addis Ababa, Ethiopia. Phenotypic drug susceptibility testing (pDST) for rifampicin, isoniazid, pyrazinamide, ethambutol, and streptomycin using BACTEC MGIT 960 was compared with the results of a Sanger sequencing analysis of seven resistance determining regions in the genes rpoB, katG, fabG-inhA, pncA, embB, rpsL, and rrs.
DNA isolation for Sanger sequencing was successfully extracted from 92.5% (209/226) of the MTBC positive cultures, and the remaining 7.5% (17/226) strains were excluded from the final analysis. Based on pDST results, drug resistance proportions were as follows: isoniazid: 109/209 (52.2%), streptomycin: 93/209 (44.5%), rifampicin: 88/209 (42.1%), ethambutol: 74/209 (35.4%), and pyrazinamide: 69/209 (33.0%). Resistance against isoniazid was mainly mediated by the mutation katG S315T (97/209, 46.4%) and resistance against rifampicin by rpoB S531L (58/209, 27.8%). The dominating resistance-conferring mutations for ethambutol, streptomycin, and pyrazinamide affected codon 306 in embB (48/209, 21.1%), codon 88 in rpsL (43/209, 20.6%), and codon 65 in pncA (19/209, 9.1%), respectively. We observed a high agreement between phenotypic and genotypic DST, such as 89.9% (at 95% confidence interval [CI], 84.2%-95.8%) for isoniazid, 95.5% (95% CI, 91.2%-99.8%) for rifampicin, 98.6% (95% CI, 95.9-100%) for ethambutol, 91.3% (95% CI, 84.6-98.1%) for pyrazinamide and 57.0% (95% CI, 46.9%-67.1%) for streptomycin.
We detected canonical mutations implicated in resistance to rifampicin, isoniazid, pyrazinamide, ethambutol, and streptomycin. High agreement with phenotypic DST results for all drugs renders Sanger sequencing promising to be performed as a complementary measure to routine phenotypic DST in Ethiopia. Sanger sequencing directly from sputum may accelerate accurate clinical decision-making in the future.
埃塞俄比亚是耐多药结核病(MDR-TB)负担较高的国家之一。然而,由于结核分枝杆菌复合群(MTBC)菌株的生长缓慢,表型药敏试验可能需要数周时间。在这项研究中,我们评估了 Sanger 测序方法预测对五种抗结核药物的耐药性和耐药介导突变模式的性能。
我们招募了 226 名 MTBC 培养阳性的 MDR-TB 疑似患者,并于 2015 年 6 月至 2016 年 12 月期间在埃塞俄比亚亚的斯亚贝巴收集每位疑似患者的痰液标本和社会人口统计学及结核病相关数据。使用 BACTEC MGIT 960 对利福平、异烟肼、吡嗪酰胺、乙胺丁醇和链霉素进行表型药敏试验(pDST),并与 rpoB、katG、fabG-inhA、pncA、embB、rpsL 和 rrs 基因中七个耐药决定区的 Sanger 测序分析结果进行比较。
从 92.5%(209/226)的 MTBC 阳性培养物中成功提取了用于 Sanger 测序的 DNA,其余 7.5%(17/226)的菌株被排除在最终分析之外。根据 pDST 结果,耐药比例如下:异烟肼:109/209(52.2%)、链霉素:93/209(44.5%)、利福平:88/209(42.1%)、乙胺丁醇:74/209(35.4%)和吡嗪酰胺:69/209(33.0%)。异烟肼耐药主要由 katG S315T 突变(97/209,46.4%)介导,利福平耐药主要由 rpoB S531L 突变(58/209,27.8%)介导。乙胺丁醇、链霉素和吡嗪酰胺耐药的主要耐药相关突变影响 embB 中的 306 密码子(48/209,21.1%)、rpsL 中的 88 密码子(43/209,20.6%)和 pncA 中的 65 密码子(19/209,9.1%)。我们观察到表型和基因型 DST 之间具有高度一致性,例如异烟肼为 89.9%(95%置信区间 [CI],84.2%-95.8%)、利福平为 95.5%(95% CI,91.2%-99.8%)、乙胺丁醇为 98.6%(95% CI,95.9%-100%)、吡嗪酰胺为 91.3%(95% CI,84.6%-98.1%)和链霉素为 57.0%(95% CI,46.9%-67.1%)。
我们检测到与利福平、异烟肼、吡嗪酰胺、乙胺丁醇和链霉素耐药相关的典型突变。所有药物的表型 DST 结果高度一致,使得 Sanger 测序有望成为埃塞俄比亚常规表型 DST 的补充措施。直接从痰液中进行 Sanger 测序可能会加速未来准确的临床决策。