TABLE 1.
Study objective | Static time-kill model |
One-compartment system (“chemostat”) |
Two-compartment hollow fiber system |
Mouse infection model |
---|---|---|---|---|
1. Dose-range study: killing of predominant population | Yesb | Yesb | Yesb | Yesb |
2. Dose-range study: suppression of resistance | ±c | ±c | Yesc | ±c |
3. Dose-fractionation study: killing of predominant population | No | Yes | Yes | Yes |
4. Dose-fractionation study: suppression of resistance | No | ± | Yes | ± |
5. Combination therapy: killing of predominant population | Yes | Yes (short term) | Yes | Yes |
6. Combination therapy: suppression of resistance | ± | ± | Yes | ± |
7. Toxin suppression by drugs | Yes | ± | Yes | Yes |
8. Dissecting the interaction of the parent drug and metabolites on antimicrobial effect | ±d | ±d | Yesd | No |
9. Effect of physiological state of bacteria on drug activity | ± | ± | Yes | ± |
10. PD index for drug toxicity | No | No (unless toxicity is acute) | Yes | ±e |
PD, pharmacodynamic; ±, study objective can potentially be addressed in this system.
Bacterial strains which display the lowest mutation frequency of resistance should be avoided in dose-range studies; instead, strains which best represent the most commonly observed mutation frequencies are preferred.
Strains with a relevant resistance mechanism(s) should be chosen for in vitro studies. The MIC50 and MIC90 for the pathogen of interest may be used to guide strain selection.
A biologically active metabolite(s) needs to be available, since it is most likely not formed in the in vitro system.
Some dosage regimens (e.g., those used to assess time over a toxicity threshold) may also lead to high peak concentrations, especially for short-half-life drugs, which complicates the interpretation of these studies.