Related Experiment Video
Updated: May 3, 2026

Characterization of Inflammatory Responses During Intranasal Colonization with Streptococcus pneumoniae
Published on: January 17, 2014
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.
Background:
Neisseria gonorrhoeae, the aetiological agent of gonorrhoea, is an increasing global health priority due to high levels of antimicrobial resistance (AMR). It is estimated that up to 42% of patients are infected at multiple anatomical sites simultaneously. Previous studies identified that 7%-40% of those with multisite infection have different strains infecting different sites, with potentially different antimicrobial susceptibility profiles. This study aims to estimate the proportion of patients with multisite infection through differential antimicrobial susceptibility testing (AST) profiles and sequence-based molecular methods.
Methods:
This was a cross-sectional study of multisite gonococcal isolates provided by three National Health Service laboratories. Minimum inhibitory concentrations (MICs) for cefixime, ceftriaxone, azithromycin, ciprofloxacin, tetracycline and spectinomycin were determined. Possible multistrain infections were defined as isolates with a significant difference in MIC to at least one antimicrobial. Whole genome sequencing (WGS) was performed to determine multistrain infection through N. gonorrhoeae multiantigen sequence typing (NG-MAST), N. gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR), multilocus sequencing typing (MLST) and single nucleotide polymorphism (SNP) phylogeny, and to compare AST profiles with identified AMR genes.
Results:
Ninety-one isolates were collected from 41 patients with multisite infections. Of these 41 patients, 6 (14.6%) had N. gonorrhoeae isolates with discordant MICs. WGS-based typing confirmed that four out of six patients were infected with different gonococcal strains. The relatedness of isolates with the same MLST across multiple patients was differentiated using SNP-based analysis, and this included the identification of a potential transmission event. WGS-based AMR prediction for all antimicrobials tested correlated well with the phenotypic data.
Conclusion:
This study demonstrates that potentially a significant proportion of patients with multisite infections are infected with multiple gonococcal strains, with differing AST profiles, at different anatomical sites. This has implications for patient sampling, susceptibility testing protocols, AMR surveillance and potentially appropriate antibiotic therapy.
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.
More Related Videos
08:04Quantitative Examination of Antibiotic Susceptibility of Neisseria gonorrhoeae Aggregates Using ATP-utilization Commercial Assays and Live/Dead Staining
Published on: February 8, 2019
07:26Metal-Limited Growth of Neisseria gonorrhoeae for Characterization of Metal-Responsive Genes and Metal Acquisition from Host Ligands
Published on: March 4, 2020
Related Concept Videos
Colonisation of Pathogens
Atypical Pneumonia
Bacterial Meningitis II: Pathophysiology