Kardan-Yamchi Jalil, Kazemian Hossein, Battaglia Simone, Abtahi Hamidreza, Foroushani Abbas Rahimi, Hamzelou Gholamreza, Cirillo Daniela Maria, Ghodousi Arash, Feizabadi Mohammad Mehdi
Division of Microbiology, Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran 1417653911, Iran.
Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran 1417653911, Iran.
J Clin Med. 2020 Feb 7;9(2):465. doi: 10.3390/jcm9020465.
Accurate and timely detection of drug resistance can minimize the risk of further resistance development and lead to effective treatment. The aim of this study was to determine the resistance to first/second-line anti-tuberculosis drugs in rifampicin/multidrug-resistant (RR/MDR-MTB) isolates. Molecular epidemiology of strains was determined using whole genome sequencing (WGS)-based genotyping. A total of 35 RR/MDR-MTB isolates were subjected to drug susceptibility testing against first/second-line drugs using 7H9 Middlebrook in broth microdilution method. Illumina technology was used for paired-end WGS applying a Maxwell 16 Cell DNA Purification kit and the NextSeq platform. Data analysis and single nucleotide polymorphism calling were performed using MTBseq pipeline. The genome-based resistance to each drug among the resistant phenotypes was as follows: rifampicin (97.1%), isoniazid (96.6%), ethambutol (100%), levofloxacin (83.3%), moxifloxacin (83.3%), amikacin (100%), kanamycin (100%), capreomycin (100%), prothionamide (100%), D-cycloserine (11.1%), clofazimine (20%), bedaquiline (0.0%), and delamanid (44.4%). There was no linezolid-resistant phenotype, and a bedaquiline-resistant strain was wild type for related genes. The Beijing, Euro-American, and Delhi-CAS were the most populated lineage/sublineages. Drug resistance-associated mutations were mostly linked to minimum inhibitory concentration results. However, the role of well-known drug-resistant genes for D-cycloserine, clofazimine, bedaquiline, and delamanid was found to be more controversial.
准确及时地检测耐药性可将进一步产生耐药性的风险降至最低,并实现有效治疗。本研究的目的是确定利福平/耐多药结核分枝杆菌(RR/MDR-MTB)分离株对一线/二线抗结核药物的耐药情况。使用基于全基因组测序(WGS)的基因分型来确定菌株的分子流行病学。总共35株RR/MDR-MTB分离株采用7H9 Middlebrook肉汤微量稀释法进行一线/二线药物的药敏试验。使用Maxwell 16细胞DNA纯化试剂盒和NextSeq平台,采用Illumina技术进行双端WGS。使用MTBseq流程进行数据分析和单核苷酸多态性检测。耐药表型中每种药物基于基因组的耐药情况如下:利福平(97.1%)、异烟肼(96.6%)、乙胺丁醇(100%)、左氧氟沙星(83.3%)、莫西沙星(83.3%)、阿米卡星(100%)、卡那霉素(100%)、卷曲霉素(100%)、丙硫异烟胺(100%)、D-环丝氨酸(11.1%)、氯法齐明(20%)、贝达喹啉(0.0%)和地拉曼丁(44.4%)。不存在对利奈唑胺的耐药表型,一株对贝达喹啉耐药的菌株相关基因是野生型。北京、欧美和德里-CAS是最主要的菌系/亚菌系。耐药相关突变大多与最低抑菌浓度结果相关。然而,发现D-环丝氨酸、氯法齐明、贝达喹啉和地拉曼丁的知名耐药基因的作用更具争议性。