Li Yizhun, Li Yamei, Xiu Leshan, Zeng Yaling, Zhang Chi, Sun Liying, Zhang LuLu, Wang Feng, Peng Junping
Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China.
NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Antimicrob Agents Chemother. 2021 May 1;65(5). doi: 10.1128/AAC.02311-20. Epub 2021 Feb 16.
The growing antimicrobial resistance (AMR) in is a serious global threat to gonococcal therapy. Molecular typing is an ideal tool to reveal the association between specific genotype and resistance phenotype that provides effective data for tracking the transmission of resistant clones of In our study, we aimed to describe the molecular epidemiology of AMR and the distribution of resistance-associated genotypes in Shenzhen during 2014-2018. In total, 909 isolates were collected from Shenzhen from 2014-2018. Two typing schemes, multilocus sequence typing (MLST) and Sequence Typing for Antimicrobial Resistance (NG-STAR), were performed for all isolates. The distribution of resistance-associated genotypes was described using goeBURST analysis combined with data of logistic regression. Among 909 isolates, ST, ST, ST, ST, and ST were most the common MLST sequence types (STs), and ST, ST, ST, and ST were the most prevalent NG-STAR STs. The logistic regression analysis showed that NG-STAR, MLST, and MLST were typically associated with decreased susceptibility to ceftriaxone. Furthermore, the internationally spreading ESC-resistant clone MLST has been prevalent at least in 2014 in Shenzhen and showed a significant increase during 2014-2018. Additionally, MLST owns the potential to become the next internationally spreading ceftriaxone-resistant ST. In conclusions, we performed a comprehensive epidemiological study to explore the correlation between AMR and specific STs, which provided important data for future studies of the molecular epidemiology of AMR in Besides, these findings provide insight for adjusting surveillance strategies and therapy management in Shenzhen.
日益增长的抗菌药物耐药性(AMR)对淋病奈瑟菌治疗构成了严重的全球威胁。分子分型是揭示特定基因型与耐药表型之间关联的理想工具,可为追踪淋病奈瑟菌耐药克隆的传播提供有效数据。在我们的研究中,我们旨在描述2014 - 2018年期间深圳地区AMR的分子流行病学以及耐药相关基因型的分布情况。2014年至2018年期间,共从深圳收集了909株分离株。对所有分离株进行了两种分型方案,即多位点序列分型(MLST)和抗菌药物耐药性序列分型(NG - STAR)。使用goeBURST分析结合逻辑回归数据描述了耐药相关基因型的分布。在909株分离株中,ST、ST、ST、ST和ST是最常见的MLST序列类型(STs),而ST、ST、ST和ST是最普遍的NG - STAR STs。逻辑回归分析表明,NG - STAR、MLST和MLST通常与对头孢曲松的敏感性降低有关。此外,国际传播的对超广谱β - 内酰胺酶(ESBL)耐药的克隆MLST至少在2014年就在深圳流行,并且在2014 - 2018年期间显著增加。此外,MLST有潜力成为下一个在国际上传播的对头孢曲松耐药的ST。总之,我们进行了一项全面的流行病学研究,以探索AMR与特定STs之间的相关性,这为未来淋病奈瑟菌AMR分子流行病学研究提供了重要数据。此外,这些发现为深圳调整监测策略和治疗管理提供了见解。