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2018 年美国淋球菌分离监测项目中 1479 株淋病奈瑟菌主要分离株的基因组分析及抗菌药物耐药决定因素。

Genomic Analysis of the Predominant Strains and Antimicrobial Resistance Determinants Within 1479 Neisseria gonorrhoeae Isolates From the US Gonococcal Isolate Surveillance Project in 2018.

机构信息

From the Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.

出版信息

Sex Transm Dis. 2021 Aug 1;48(8S):S78-S87. doi: 10.1097/OLQ.0000000000001471.

Abstract

BACKGROUND

The prevalence of Neisseria gonorrhoeae (GC) isolates with elevated minimum inhibitory concentrations to various antibiotics continues to rise in the United States and globally. Genomic analysis provides a powerful tool for surveillance of circulating strains, antimicrobial resistance determinants, and understanding of transmission through a population.

METHODS

Neisseria gonorrhoeae isolates collected from the US Gonococcal Isolate Surveillance Project in 2018 (n = 1479) were sequenced and characterized. Whole-genome sequencing was used to identify sequence types, antimicrobial resistance profiles, and phylogenetic relationships across demographic and geographic populations.

RESULTS

Genetic characterization identified that (1) 80% of the GC isolates were represented in 33 multilocus sequence types, (2) isolates clustered in 23 major phylogenetic clusters with select phenotypic and demographic prevalence, and (3) common antimicrobial resistance determinants associated with low-level or high-level decreased susceptibility or resistance to relevant antibiotics.

CONCLUSIONS

Characterization of this 2018 Gonococcal Isolate Surveillance Project genomic data set, which is the largest US whole-genome sequence data set to date, sets the basis for future prospective studies, and establishes a genomic baseline of GC populations for local and national monitoring.

摘要

背景

在美国和全球范围内,耐各种抗生素最低抑菌浓度升高的淋病奈瑟菌(GC)分离株的流行率持续上升。基因组分析为监测循环菌株、抗菌药物耐药决定因素以及了解通过人群传播提供了强有力的工具。

方法

对 2018 年美国淋球菌分离株监测项目中收集的 1479 株淋病奈瑟菌分离株进行测序和特征分析。全基因组测序用于确定种系类型、抗菌药物耐药谱以及在人口统计学和地理区域中的系统发育关系。

结果

遗传特征分析表明:(1)80%的 GC 分离株由 33 种多位点序列类型代表;(2)分离株聚类为 23 个主要的系统发育簇,具有特定的表型和人口统计学流行率;(3)常见的抗菌药物耐药决定因素与相关抗生素的低水平或高水平降低敏感性或耐药性相关。

结论

对该 2018 年淋球菌分离株监测项目基因组数据集的特征分析,这是迄今为止美国最大的全基因组序列数据集,为未来的前瞻性研究奠定了基础,并为本地和国家监测建立了 GC 人群的基因组基线。

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