Multiplex real-time PCR assays for the prediction of cephalosporin, ciprofloxacin and azithromycin antimicrobial susceptibility of positive Neisseria gonorrhoeae nucleic acid amplification test samples

Author:

Peterson S W1ORCID,Martin I1,Demczuk W1,Barairo N1,Naidu P2,Lefebvre B3,Allen V4,Hoang L5,Hatchette T F6,Alexander D7,Tomas K8,Trubnikov M9,Wong T9,Mulvey M R1

Affiliation:

1. National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada

2. Provincial Laboratory for Public Health, Edmonton, Alberta, Canada

3. Laboratoire de santé publique du Québec, Ste-Anne-de-Bellevue, Québec, Canada

4. Public Health Ontario Laboratories, Toronto, Ontario, Canada

5. British Columbia Centres for Disease Control Public Health Microbiology & Reference Laboratory, Vancouver, British Columbia, Canada

6. Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada

7. Cadham Provincial Laboratory, Winnipeg, Manitoba, Canada

8. Surveillance and Epidemiology Division, Public Health Agency of Canada, Ottawa, Ontario, Canada

9. First Nations and Inuit Health Branch, Indigenous Services Canada, Ottawa, Ontario, Canada

Abstract

Abstract Background The incidence of antimicrobial-resistant Neisseria gonorrhoeae (GC) is rising in Canada; however, antimicrobial resistance (AMR) surveillance data are unavailable for infections diagnosed directly from clinical specimens by nucleic acid amplification tests (NAATs), representing over 80% of diagnoses. We developed a set of 10 improved molecular assays for surveillance of GC-AMR and prediction of susceptibilities in NAAT specimens. Methods Multiplex real-time PCR (RT–PCR) assays were developed to detect SNPs associated with cephalosporin (ponA, porB, mtrR −35delA, penA A311V, penA A501, N513Y, G545S), ciprofloxacin (gyrA S91, parC D86/S87/S88) and azithromycin [23S (A2059G, C2611T), mtrR meningitidis-like promoter] resistance. The assays were validated on 127 gonococcal isolates, 51 non-gonococcal isolates and 50 NAATs with matched culture isolates. SNPs determined from the assay were compared with SNPs determined from in silico analysis of WGS data. MICs were determined for culture isolates using the agar dilution method. Results SNP analysis of the 50 NAAT specimens had 96% agreement with the matched culture RT–PCR analysis. When compared with MICs, presence of penA A311V or penA A501 and two or more other SNPs correlated with decreased susceptibility and presence of three or more other SNPs correlated with intermediate susceptibility to cephalosporins; presence of any associated SNP correlated with ciprofloxacin or azithromycin resistance. NAAT-AMR predictions correlated with matched-culture cephalosporin, ciprofloxacin and azithromycin MICs at 94%, 100% and 98%, respectively. Conclusions We expanded molecular tests for N. gonorrhoeae AMR prediction by adding new loci and multiplexing reactions to improve surveillance where culture isolates are unavailable.

Funder

Public Health Agency of Canada

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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