Characterisation of Neisseria gonorrhoeae strain differences in patients with multisite infection

Victoria F Miari1, Matthew R Blakiston2, Priya Solanki2

  • 1Department of Infection Biology, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK victoria.miari@lshtm.ac.uk.

PubMed
Abstract

Insights

A significant proportion of patients with multiple gonorrhea infections may harbor different strains with varying antimicrobial resistance. This finding impacts testing, surveillance, and treatment strategies for Neisseria gonorrhoeae.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Genomics

Background:

  • Neisseria gonorrhoeae causes gonorrhea, a growing global health concern due to rising antimicrobial resistance (AMR).
  • Multisite infections are common, with some patients harboring distinct strains at different anatomical locations.
  • These different strains can possess varying antimicrobial susceptibility profiles, complicating treatment.

Purpose of the Study:

  • To estimate the prevalence of multiple Neisseria gonorrhoeae strains in patients with multisite infections.
  • To differentiate strains using antimicrobial susceptibility testing (AST) profiles and molecular methods.
  • To correlate genotypic and phenotypic antimicrobial resistance.

Main Methods:

  • Cross-sectional study of gonococcal isolates from patients with multisite infections.
  • Determination of Minimum Inhibitory Concentrations (MICs) for key antimicrobials.
  • Whole genome sequencing (WGS) for strain typing (NG-MAST, NG-STAR, MLST, SNP phylogeny) and AMR gene identification.

Main Results:

  • Analysis of 91 isolates from 41 patients revealed 6 patients (14.6%) with discordant MICs.
  • WGS confirmed distinct gonococcal strains in 4 of these 6 patients.
  • WGS-based AMR prediction showed good correlation with phenotypic AST data.

Conclusions:

  • A notable proportion of multisite gonorrhea infections involve multiple strains with differing AST profiles.
  • This highlights the need for careful patient sampling and tailored susceptibility testing.
  • Findings have implications for gonorrhea surveillance and optimizing antibiotic therapy.

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