Sub-Inhibitory Ceftazidime Drives Adaptive ampC Hyperexpression and Strain-Dependent mexC Induction in Multidrug-Resistant Pseudomonas aeruginosa from Burn and Wound Infections

This project gives analytical guidance and modeling help for studying how multidrug‑resistant *Pseudomonas aeruginosa* from burn and wound infections adapt to low‑level antibiotic exposure. The work looks specifically at how much the *ampC* gene is over‑expressed and how the *mexC* efflux pump is turned on in different strains when they encounter sub‑lethal amounts of ceftazidime. Using computer models and statistical analysis, the study maps the complex link between drug concentration gradients and changes in gene expression. The effort includes building mathematical models that mimic the kinetic response of these resistant strains, which should deepen our understanding of how their phenotype changes. By examining experimental gene‑expression data, the project helps researchers

find the concentration thresholds that activate these resistance pathways. The resulting simulation models become a useful tool for predicting bacterial survival, comparing strain‑specific differences, and fine‑tuning dosing strategies to limit resistance in clinical settings. This structured review and modeling approach offers a solid base for future work in pharmacology and biomedical engineering.

Message: Hi FE, I need help with “Sub-Inhibitory Ceftazidime Drives Adaptive ampC Hyperexpression and Strain-Dependent mexC Induction in Multidrug-Resistant Pseudomonas aeruginosa from Burn and Wound Infections” in “Biomedical Engineering”