首页 / 院系成果 / 成果详情页

Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in Neisseria gonorrhoeae  期刊论文  

  • 编号:
    EBAE22F3E556E7C813C7C772D21B76AE
  • 作者:
    Bristow, Claire C.[1];Mortimer, Tatum D.[2];Morris, Sheldon[1];Grad, Yonatan H.[2];Soge, Olusegun O.[3,4,5];Wakatake, Erika[3,4,5];Pascual, Rushlenne[3,4,5];Murphy, Sara McCurdy[6];Fryling, Kyra E.[2];Adamson, Paul C.[7];Dillon, JoAnne[8];Parmar, Nidhi R.[8];Le, Hai Ha Long[9,10];Van Le, Hung[9,11];Urena, Reyna Margarita Ovalles[12];Mitchev, Nireshni[13];Mlisana, Koleka[13,14,15];Wi, Teodora[16];Dickson, Samuel P.[17];Klausner, Jeffrey D.[18]
  • 语种:
    英文
  • 期刊:
    JOURNAL OF INFECTIOUS DISEASES ISSN:0022-1899 2023 年 227 卷 7 期 (917 - 925) ; APR 12
  • 关键词:
  • 摘要:

    Background Neisseria gonorrhoeae is a major public health problem due to increasing incidence and antimicrobial resistance. Genetic markers of reduced susceptibility have been identified; the extent to which those are representative of global antimicrobial resistance is unknown. We evaluated the performance of whole-genome sequencing (WGS) used to predict susceptibility to ciprofloxacin and other antimicrobials using a global collection of N. gonorrhoeae isolates. Methods Susceptibility testing of common antimicrobials and the recently developed zolifodacin was performed using agar dilution to determine minimum inhibitory concentrations (MICs). We identified resistance alleles at loci known to contribute to antimicrobial resistance in N. gonorrhoeae from WGS data. We tested the ability of each locus to predict antimicrobial susceptibility. Results A total of 481 N. gonorrhoeae isolates, collected between 2004 and 2019 and making up 457 unique genomes, were sourced from 5 countries. All isolates with demonstrated susceptibility to ciprofloxacin (MIC <= 0.06 mu g/mL) had a wild-type gyrA codon 91. Multilocus approaches were needed to predict susceptibility to other antimicrobials. All isolates were susceptible to zoliflodacin, defined by an MIC <= 0.25 mu g/mL. Conclusions Single marker prediction can be used to inform ciprofloxacin treatment of N. gonorrhoeae infection. A combination of molecular markers may be needed to determine susceptibility for other antimicrobials. A single genetic marker, gyrA codon 91, correctly predicted ciprofloxacin susceptibility in a global collection of Neisseria gonorrhoeae isolates with genome sequences and phenotypic antimicrobial susceptibility data. For other antimicrobials, multiple molecular markers are needed to accurately predict antimicrobial susceptibility.

  • 推荐引用方式
    GB/T 7714:
    Bristow Claire C.,Mortimer Tatum D.,Morris Sheldon, et al. Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in Neisseria gonorrhoeae [J].JOURNAL OF INFECTIOUS DISEASES,2023,227(7):917-925.
  • APA:
    Bristow Claire C.,Mortimer Tatum D.,Morris Sheldon,Grad Yonatan H.,&Klausner Jeffrey D..(2023).Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in Neisseria gonorrhoeae .JOURNAL OF INFECTIOUS DISEASES,227(7):917-925.
  • MLA:
    Bristow Claire C., et al. "Whole-Genome Sequencing to Predict Antimicrobial Susceptibility Profiles in Neisseria gonorrhoeae" .JOURNAL OF INFECTIOUS DISEASES 227,7(2023):917-925.
  • 数据来源自科睿唯安Web of Science核心合集
  • 入库时间:
    2023/5/30 15:41:46
  • 更新时间:
    2023/5/30 15:41:46
浏览次数:53 下载次数:0
浏览次数:53
下载次数:0
打印次数:0
浏览器支持: Google Chrome   火狐   360浏览器极速模式(8.0+极速模式) 
返回顶部