Literature DB >> 31295224

Use of Whole Genome Sequencing for the Molecular Comparison of Neisseria gonorrhoeae Isolates With Decreased Susceptibility to Extended Spectrum Cephalosporins From 2 Geographically Different Regions in America.

Ricardo A Gianecini, Sandra Zittermann1, Claudia Oviedo, Marcelo Galas2, Pilar Ramon Pardo2, Vanessa G Allen1, Patricia Galarza, Roberto G Melano1.   

Abstract

BACKGROUND: Neisseria gonorrhoeae isolates with reduced susceptibility or resistance to the recommended first-line antimicrobial therapy have been described in several countries. The purpose of this study was to use genome analyses to compare the molecular characteristics of N. gonorrhoeae isolates with decreased susceptibility to extended-spectrum cephalosporin from Ontario, Canada, and Argentina.
METHODS: A total of 128 N. gonorrhoeae isolates, collected in 2015, were included. The susceptibility to penicillin G, tetracycline, ciprofloxacin, cefixime, ceftriaxone, and azithromycin was determined using the agar dilution method. Isolates were subjected to whole genome sequencing, and an in silico analysis was performed to identify antimicrobial resistance determinants and for genotyping.
RESULTS: Decreased susceptibility to extended-spectrum cephalosporin was mainly associated with penA mosaic allele 34.001, together with an mtrR promoter A deletion and porB1b alterations G120K/A121N. N. gonorrhoeae multiantigen sequence typing ST1407 or closely related genotypes were identified circulating in both regions.
CONCLUSIONS: An international multi-drug resistant clone of N. gonorrhoeae was associated with decreased susceptibility to extended-spectrum cephalosporin (ESC) in 2 different regions in America. Evidence of clonal dissemination of the organism in some regions suggests that the strength of surveillance programs and establishment of collaborative projects are essential.

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Year:  2019        PMID: 31295224     DOI: 10.1097/OLQ.0000000000001011

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  6 in total

1.  Molecular Algorithms Accurately Predict Decreased Susceptibility to Ceftriaxone in Neisseria gonorrhoeae.

Authors:  Eric Y Lin; Paul C Adamson; Jeffrey D Klausner
Journal:  Sex Transm Dis       Date:  2020-12       Impact factor: 2.830

2.  Typing of Neisseria Gonorrhoeae isolates in Shenzhen, China from 2014-2018 reveals the shift of genotypes associated with antimicrobial resistance.

Authors:  Yizhun Li; Yamei Li; Leshan Xiu; Yaling Zeng; Chi Zhang; Liying Sun; LuLu Zhang; Feng Wang; Junping Peng
Journal:  Antimicrob Agents Chemother       Date:  2021-02-16       Impact factor: 5.191

3.  A Multiplex Molecular Assay for Detection of Six penA Codons To Predict Decreased Susceptibility to Cephalosporins in Neisseria gonorrhoeae.

Authors:  Yamei Li; Lulu Zhang; Leshan Xiu; Di Wang; Yaling Zeng; Feng Wang; Yueping Yin; Junping Peng
Journal:  Antimicrob Agents Chemother       Date:  2022-01-10       Impact factor: 5.938

4.  Evaluating the generalizability of a multiplex real-time PCR assay for predicting decreased susceptibility to ceftriaxone in a global set of Neisseria gonorrhoeae sequences.

Authors:  Eric Y Lin; Paul C Adamson; Jeffrey D Klausner
Journal:  J Antimicrob Chemother       Date:  2021-03-12       Impact factor: 5.790

Review 5.  Bioinformatics tools used for whole-genome sequencing analysis of Neisseria gonorrhoeae: a literature review.

Authors:  Reema Singh; Anthony Kusalik; Jo-Anne R Dillon
Journal:  Brief Funct Genomics       Date:  2022-04-11       Impact factor: 4.840

6.  Dissemination of Verona Integron-encoded Metallo-β-lactamase among clinical and environmental Enterobacteriaceae isolates in Ontario, Canada.

Authors:  Philipp Kohler; Nathalie Tijet; Hyunjin C Kim; Jennie Johnstone; Tom Edge; Samir N Patel; Christine Seah; Barbara Willey; Brenda Coleman; Karen Green; Irene Armstrong; Kevin Katz; Matthew P Muller; Jeff Powis; Susan M Poutanen; David Richardson; Alicia Sarabia; Andrew Simor; Allison McGeer; Roberto G Melano
Journal:  Sci Rep       Date:  2020-10-29       Impact factor: 4.996

  6 in total

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