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 the 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 within 30 min, a significant improvement
compared to the conventional method which could take multiple days.