Predicting drug inactivation by changes in bacterial growth dynamics.

Area of Science:

• Microbiology
• Pharmacology
• Systems Biology

Background:

• Subinhibitory concentrations of antibacterials can impact bacterial growth dynamics.
• Previous studies show drugs affect doubling time and maximal bacterial load, but a systematic understanding is lacking.
• It is unknown if common principles govern how drugs interfere with bacterial growth.

Purpose of the Study:

• To systematically investigate the impact of diverse antibacterial drugs at subinhibitory concentrations on bacterial growth.
• To develop a quantitative framework for comparing drug effects on bacterial growth.
• To identify common principles underlying drug-induced growth inhibition.

Main Methods:

• Monitoring growth curves of Escherichia coli across thirty-eight drugs with various mechanisms of action.
• Developing a mathematical framework to quantitatively analyze lag phase, growth rate, and carrying capacity.
• Conducting functional assays to assess drug inactivation.

Main Results:

• Drugs induced distinct inhibition phenotypes, independent of their molecular targets.
• Drug inactivation was identified as a key factor associated with a lag-phase phenotype.
• Bacterial growth dynamics can be used to infer drug inactivation.

Conclusions:

• Bacterial growth dynamics provide insights into drug inactivation mechanisms.
• This approach can be instrumental in rapidly identifying bacteria that inactivate drugs.
• Understanding drug effects at subinhibitory concentrations is crucial for antibacterial research.