Microscopic Approach to Intrinsic Antibiotic Resistance

Area of Science:

• Microbiology and Infectious Diseases
• Mathematical Biology
• Computational Biology

Background:

• Multidrug resistance in Gram-negative pathogens is driven by efflux pumps and outer membrane permeability.
• Phenotypic heterogeneity in bacterial populations contributes to treatment failure, but lacks a unifying mathematical model.
• Existing models do not integrate growth dynamics with single-cell heterogeneity for antimicrobial resistance.

Purpose of the Study:

• To develop a mathematical framework integrating bacterial growth dynamics and single-cell heterogeneity.
• To model antimicrobial resistance at both single-cell and colony levels.
• To provide a tool for predicting bacterial survival and drug efficacy.

Main Methods:

• Developed a novel mathematical framework.
• Integrated experimental data on bacterial growth and resistance mechanisms.
• Modeled the interplay between efflux pumps, outer membrane permeability, and cell division.
• Simulated bacterial populations from single-cell to colony scales.

Main Results:

• The framework successfully bridges single-cell and colony dynamics.
• Revealed non-trivial collective effects influencing bacterial fitness and survival.
• Demonstrated the importance of heterogeneity in predicting resistance emergence.
• Generated testable predictions for experimental validation.

Conclusions:

• The developed mathematical framework offers a new approach to study antimicrobial resistance.
• It highlights the significance of integrating heterogeneity and growth dynamics for understanding bacterial populations.
• This tool can guide experimental strategies for combating drug resistance in various cellular systems.