# Simulating treatment effects for gonorrhoea using a within-host mathematical model

**Authors:** Pavithra Jayasundara, David G. Regan, Philip Kuchel, James G. Wood

PMC · DOI: 10.1016/j.idm.2026.01.002 · 2026-01-27

## TL;DR

Researchers used a mathematical model to simulate antibiotic treatments for gonorrhoea, finding that intracellular drug concentrations are critical for treatment success.

## Contribution

The study introduces an extended within-host model integrating pharmacokinetic and pharmacodynamic features to evaluate treatment regimens for gonorrhoea.

## Key findings

- Treatment success depends on clearing intracellular Neisseria gonorrhoeae, not just extracellular bacteria.
- The AUC/MIC index using intracellular gepotidacin concentration effectively distinguishes treatment success and failure.
- Dual treatment with gentamicin and azithromycin showed less informative PK thresholds compared to monotreatment.

## Abstract

Neisseria gonorrhoeae (NG) bacteria have evolved resistance to many of the antibiotics used to treat gonorrhoea infection. To explore potential treatment options for gonorrhoea, we extend a previously developed within-host mathematical model to integrate treatment dynamics by accounting for key pharmacokinetic (PK) and pharmacodynamic (PD) features. This extended model was used to investigate different treatment regimens for two potential drugs: monotreatment with gepotidacin, and dual treatment with gentamicin and azithromycin. The simulated treatment success rates aligned well with the limited clinical trial data available. The simulation results indicated that antibiotic treatment failure is associated with failure to successfully clear intracellular NG (NG residing within epithelial cells and neutrophils), and extracellular PK indices alone cannot differentiate between treatment success/failure. Also, the index defined by the ratio of area under the curve to minimum inhibitory concentration (AUC/MIC) index >150, evaluated using intracellular gepotidacin concentration, successfully distinguished between treatment success and failure. For the dual treatment regimen, AUC/MIC index >140 evaluated using the simulated single drug concentration, representing the combined effect of gentamicin and azithromycin with the Loewe additivity concept, successfully differentiated between treatment success and failure. However, we found this PK threshold associated with dual treatment to be less informative than that of gepotidacin, as a majority of samples below this threshold still resulted in infection clearance. Although previous experimental results on antibiotic killing of intracellular NG are scarce, our findings highlight the need for further studies on this. This will be useful for testing putative new anti-gonorrhoea antibiotics.

## Linked entities

- **Chemicals:** gepotidacin (PubChem CID 25101874), gentamicin (PubChem CID 3467), azithromycin (PubChem CID 447043)
- **Species:** Neisseria gonorrhoeae (taxon 485)

## Full-text entities

- **Diseases:** gonorrhoea antibiotics (MESH:D004761), infection (MESH:D007239), gonorrhoea (MESH:D006069)
- **Chemicals:** gentamicin (MESH:D005839), azithromycin (MESH:D017963), gepotidacin (MESH:C000612856), anti (-)
- **Species:** Neisseria gonorrhoeae (species) [taxon 485]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12905995/full.md

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Source: https://tomesphere.com/paper/PMC12905995