Analysis on Drug-Resistance-Associated Mutations among Multidrug-Resistant Mycobacterium tuberculosis Isolates in China.
Analysis on Drug-Resistance-Associated Mutations among Multidrug-Resistant Mycobacterium tuberculosis Isolates in China.
复制标题
中国多重耐药结核分枝杆菌耐药相关突变分析
DOI：
10.3390/antibiotics10111367
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发表时间：
2021-11-08
期刊：
影响因子：
--
通讯作者：
Sun Z
中科院分区：
文献类型：
--
作者：
Jia H;Xu Y;Sun Z
作为结核病的致病菌，结核分枝杆菌（Mycobacterium tuberculosis， M. tb）在中国的多药耐药分离株的出现使其病情恶化。在本研究中检测到利福平（RIF）、异烟肼（INH）、乙胺丁醇（EMB）、氧氟沙星（OFX）和链霉素（STR）的6个最常报道的耐药基因（rpoB、katG、inhA、embB、gyrA和rpsL）的突变。详细描述了所有耐药（DR）分离株的氨基酸错义突变（mm）及其相应的单核苷酸多态性突变。所有分离株均分为非广泛耐药组（Non-XDR）和预XDR/XDR组。两组间除rpsL 88 （p = 0.037）外，mmms和连接mmms （LMs）之间无统计学差异。在pre - XDR/XDR组中，rpoB、katG和inhA的mm发生表型耐药，rpoB 531、katG 315、rpsL 43和rpsL 88的mm发生高水平DR，有必要在当地开展DR基因突变的流行病学调查，从而为耐药结核分枝杆菌快速检测新技术的设计和检测靶点的优化提供必要的数据支持。
As the causative bacteria of tuberculosis, Mycobacterium tuberculosis (M. tb) is aggravated by the emergence of its multidrug-resistant isolates in China. Mutations of six of the most frequently reported resistant genes (rpoB, katG, inhA, embB, gyrA, and rpsL) were detected for rifampicin (RIF), isoniazid (INH), ethambutol (EMB), ofloxacin (OFX), and streptomycin (STR) in this study. The amino acid missense mutations (MMs) and their corresponding single nucleotide polymorphism mutations for all drug-resistant (DR) isolates are described in detail. All isolates were divided into non-extensively drug-resistant (Non-XDR) and preXDR/XDR groups. No statistical differences were detected among MMs and linked MMs (LMs) between the two groups, except for rpsL 88 (p = 0.037). In the preXDR/XDR group, the occurrence of MMs in rpoB, katG, and inhA developed phenotypic resistance and MMs of rpoB 531, katG 315, rpsL 43, and rpsL 88 could develop high levels of DR. It is necessary to carry out epidemiological investigations of DR gene mutations in the local region, and thus provide necessary data to support the design of new technologies for rapid detection of resistant M. tb and the optimization of detection targets.
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DOI：
10.1056/nejmoa1614915
发表时间：
2017-09-14
期刊：
The New England journal of medicine
影响因子：
--
作者：
Xie YL;Chakravorty S;Armstrong DT;Hall SL;Via LE;Song T;Yuan X;Mo X;Zhu H;Xu P;Gao Q;Lee M;Lee J;Smith LE;Chen RY;Joh JS;Cho Y;Liu X;Ruan X;Liang L;Dharan N;Cho SN;Barry CE 3rd;Ellner JJ;Dorman SE;Alland D
通讯作者：
Alland D
影响因子：
3.7
作者：
Jagielski T;Ignatowska H;Bakuła Z;Dziewit Ł;Napiórkowska A;Augustynowicz-Kopeć E;Zwolska Z;Bielecki J
通讯作者：
Bielecki J
影响因子：
64.8
作者：
Jumper J;Evans R;Pritzel A;Green T;Figurnov M;Ronneberger O;Tunyasuvunakool K;Bates R;Žídek A;Potapenko A;Bridgland A;Meyer C;Kohl SAA;Ballard AJ;Cowie A;Romera-Paredes B;Nikolov S;Jain R;Adler J;Back T;Petersen S;Reiman D;Clancy E;Zielinski M;Steinegger M;Pacholska M;Berghammer T;Bodenstein S;Silver D;Vinyals O;Senior AW;Kavukcuoglu K;Kohli P;Hassabis D
通讯作者：
Hassabis D
影响因子：
4.9
作者：
Hazbon, Manzour Hernando;Brimacombe, Michael;Alland, David
通讯作者：
Alland, David
影响因子：
9.4
作者：
Bártfai, Z;Somoskövi, A;Salfinger, M
通讯作者：
Salfinger, M