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Artifacts in dilution pharmacokinetic models caused by adherent bacteria
Antimicrobial Agents and Chemotherapy
|May 1, 1986
Summary
Bacterial cultures in liquid media can show unexpected growth due to a non-dilutable adherent population. This Pseudomonas aeruginosa study reveals a two-compartment model explaining increased colony-forming units (CFU) despite dilution.
Area of Science:
- Microbiology
- Bacterial Physiology
- Biotechnology
Background:
- Standard interpretation of bacterial growth in liquid cultures assumes homogeneous distribution.
- Dilution rates exceeding growth rates typically lead to a decrease in colony-forming units (CFU).
- Observed increases in CFU in Pseudomonas aeruginosa cultures challenged this assumption.
Purpose of the Study:
- To investigate the phenomenon of increasing CFU in liquid cultures despite dilution rates higher than growth rates.
- To propose and validate a mathematical model explaining this unexpected bacterial behavior.
- To highlight the implications for interpreting experimental results involving liquid cultures.
Main Methods:
- Culturing Pseudomonas aeruginosa in Mueller-Hinton broth under specific dilution rates.
- Monitoring CFU over time to observe population dynamics.
- Developing a two-compartment mathematical model (homogeneous and adherent populations) to describe bacterial behavior.
- Fitting the model to experimental data.
Main Results:
- Observed an initial decrease in CFU followed by an increase, contradicting simple dilution expectations.
- The proposed two-compartment model, including a non-dilutable adherent population, accurately fit the experimental data.
- Similar CFU trends were observed with other bacterial strains, suggesting a general phenomenon.
Conclusions:
- Bacterial cultures in liquid media may contain a significant non-dilutable adherent population.
- This adherent population can lead to artificial and unexpected results when interpreting CFU counts.
- Researchers should consider the potential presence of adherent populations when designing and analyzing experiments in liquid cultures, especially when evaluating selective influences like antibiotics.