Rapid molecular phenotypic antimicrobial susceptibility test for Neisseria gonorrhoeae based on propidium monoazide
Kristel C Tjandra1, Nikhil Ram-Mohan1, Ryuichiro Abe1
1Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Abstract:
Neisseria gonorrhoeae (NG) is an urgent threat to antimicrobial resistance (AMR) worldwide. NG has acquired rapid resistance to all previously recommended treatments leaving ceftriaxone monotherapy as the first and last line of therapy for uncomplicated NG. The ability to rapidly determine susceptibility, which is currently nonexistent for NG, has been proposed as a strategy to preserve ceftriaxone by using alternative treatments. Herein, we used a DNA-intercalating dye in combination with NG-specific primers/probes to generate qPCR cycle threshold (Ct) values at different concentrations of 2 NG-relevant antimicrobials. Our proof of concept dual-antimicrobial logistic regression model based on the differential Ct measurements achieved an AUC of 0.93 with a categorical agreement for susceptibility of 84.6%. When surveying the performance against each antimicrobial separately, the model predicted 90% and 75% susceptible and resistant strains respectively to ceftriaxone and 66.7% and 83.3% susceptible and resistant strains respectively to ciprofloxacin. We further validated the model against the individual replicates and determined the accuracy of the model in classifying susceptibility agnostic of the inoculum size. We demonstrated a novel PCR-based approach to determine phenotypic ciprofloxacin and ceftriaxone susceptibility information for NG with reasonable accuracy in under 30 min, a significant improvement compared to the conventional method which takes 3 days.
Insights
A new PCR method rapidly determines Neisseria gonorrhoeae (NG) susceptibility to antibiotics like ceftriaxone and ciprofloxacin. This approach offers accurate results in under 30 minutes, aiding antimicrobial resistance management.
Area of Science:
- Microbiology
- Molecular Biology
- Antimicrobial Resistance
Background:
- Neisseria gonorrhoeae (NG) poses a significant global threat due to rapidly acquired antimicrobial resistance (AMR).
- Existing treatments are failing, leaving few options and highlighting the need for rapid susceptibility testing to guide therapy and preserve current antibiotics.
- Current methods for determining NG antibiotic susceptibility are slow, taking up to 3 days, which is inadequate for timely clinical decision-making.
Approach:
- Developed a novel PCR-based assay utilizing a DNA-intercalating dye and NG-specific primers/probes.
- Generated quantitative PCR (qPCR) cycle threshold (Ct) values to assess bacterial response to varying concentrations of ceftriaxone and ciprofloxacin.
- Constructed a dual-antimicrobial logistic regression model using differential Ct measurements to predict antibiotic susceptibility.
Key Points:
- The proof-of-concept model achieved an AUC of 0.93 and 84.6% categorical agreement for susceptibility.
- Individual antimicrobial predictions showed high accuracy for ceftriaxone (90% susceptible, 75% resistant) and reasonable accuracy for ciprofloxacin (66.7% susceptible, 83.3% resistant).
- The PCR assay demonstrated reliable susceptibility classification irrespective of bacterial inoculum size and provided results in under 30 minutes.
Conclusions:
- This novel PCR approach offers a rapid and accurate method for determining phenotypic susceptibility of Neisseria gonorrhoeae to key antibiotics.
- The assay significantly outperforms conventional susceptibility testing in terms of speed, providing crucial information in under 30 minutes versus 3 days.
- This rapid diagnostic tool has the potential to aid in preserving last-line antibiotics like ceftriaxone by enabling timely use of alternative treatments based on susceptibility data.
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