Department of Applied Biology, School of Applied Natural Sciences, Adama Science and Technology University, Adama, Ethiopia.
Institute of Pharmaceutical Sciences, Adama Science and Technology University, Adama, Ethiopia.
Microbiol Spectr. 2024 Apr 2;12(4):e0213323. doi: 10.1128/spectrum.02133-23. Epub 2024 Mar 11.
The incidence of isoniazid (INH) resistant is increasing globally. This study aimed to identify the molecular mechanisms behind the development of INH resistance in strains collected from the same patients during the standard course of treatment. Three strains were collected from a patient before and during antituberculosis (anti-TB) therapy. The strains were characterized using phenotypic drug susceptibility tests, Mycobacterial Interspersed Repeated Unit-Variable-Number Tandem Repeats (MIRU-VNTR), and whole-genome sequencing (WGS) to identify mutations associated with INH resistance. To validate the role of the novel mutations in INH resistance, the mutated genes were electroporated into a KatG-deleted strain (GA03). Three-dimensional structures of mutated KatG were modeled to predict their impact on INH binding. The pre-treatment strain was susceptible to INH. However, two INH-resistant strains were isolated from the patient after anti-TB therapy. MIRU-VNTR and WGS revealed that the three strains were clonally identical. A missense mutation (P232L) and a nonsense mutation (Q461Stop) were identified in the of the two post-treatment strains, respectively. Transformation experiments showed that of the pre-treatment strain restored INH susceptibility in GA03, whereas the mutated genes from the post-treatment strains rendered negative catalase activity and INH resistance. The protein model indicated that P232L reduced INH-KatG binding affinity while Q461Stop truncated gene transcription. Our results showed that the two mutations, P232L and Q461Stop, accounted for the co-emergence of INH-resistant clones during anti-TB therapy. The inclusion of these mutations in the design of molecular assays could increase the diagnostic performance.IMPORTANCEThe evolution of drug-resistant strains of within the lung lesions of a patient has a detrimental impact on treatment outcomes. This is particularly concerning for isoniazid (INH), which is the most potent first-line antimycobacterial drug. However, the precise genetic factors responsible for drug resistance in patients have not been fully elucidated, with approximately 15% of INH-resistant strains harboring unknown genetic factors. This raises concerns about the emergence of drug-resistant clones within patients, further contributing to the global epidemic of resistance. In this study, we revealed the presence of two novel mutations, which emerged independently due to the stress exerted by antituberculosis (anti-TB) treatment on a parental strain. Importantly, we experimentally demonstrated the functional significance of both mutations in conferring resistance to INH. Overall, this research sheds light on the genetic mechanisms underlying the evolution of INH resistance within patients and provides valuable insights for improving diagnostic performance by targeting specific mutations.
异烟肼(INH)耐药的发生率在全球范围内正在增加。本研究旨在鉴定在标准抗结核(anti-TB)治疗期间从同一患者中收集的菌株中 INH 耐药发展背后的分子机制。从一名患者在抗结核治疗前和治疗期间收集了 3 株 。使用表型药敏试验、分枝杆菌插入重复单元-可变数串联重复(MIRU-VNTR)和全基因组测序(WGS)对菌株进行特征鉴定,以鉴定与 INH 耐药相关的突变。为了验证新型突变在 INH 耐药中的作用,将突变的 katG 基因电穿孔到 KatG 缺失的 菌株(GA03)中。构建了突变 KatG 的三维结构模型,以预测它们对 INH 结合的影响。治疗前的菌株对 INH 敏感。然而,两名患者在抗结核治疗后从患者中分离出两株 INH 耐药株。MIRU-VNTR 和 WGS 表明,三株菌株克隆同源。在两株治疗后菌株的 katG 中分别鉴定出一个错义突变(P232L)和一个无义突变(Q461Stop)。转化实验表明,治疗前菌株的 katG 恢复了 GA03 对 INH 的敏感性,而来自治疗后菌株的突变 katG 基因导致阴性过氧化氢酶活性和 INH 耐药性。蛋白质模型表明,P232L 降低了 INH-KatG 结合亲和力,而 Q461Stop 截断了基因转录。我们的结果表明,两个 katG 突变,P232L 和 Q461Stop,导致抗结核治疗期间 INH 耐药克隆的共同出现。将这些突变纳入分子检测的设计中可以提高诊断性能。
在患者肺部病变内耐药物株的演变对治疗结果有不利影响。这对于异烟肼(INH)来说尤其令人担忧,INH 是最有效的一线抗分枝杆菌药物。然而,导致患者中药物耐药的确切遗传因素尚未完全阐明,大约 15%的 INH 耐药株携带有未知的遗传因素。这引发了对患者内耐药克隆出现的担忧,进一步助长了全球耐药性流行。在这项研究中,我们揭示了两个新的 katG 突变的存在,这些突变是由于抗结核(anti-TB)治疗对亲本菌株施加的压力而独立出现的。重要的是,我们通过实验证明了这两个突变在赋予 INH 耐药性方面的功能意义。总体而言,这项研究揭示了患者内 INH 耐药性演变的遗传机制,并通过针对特定突变来提高诊断性能提供了有价值的见解。