Journal: Antimicrobial Agents and Chemotherapy
Article Title: Identifying and mathematically modeling the time-course of extracellular metabolic markers associated with resistance to ceftolozane/tazobactam in Pseudomonas aeruginosa
doi: 10.1128/aac.01081-23
Figure Lengend Snippet: Heatmap with hierarchical clustering ( A–E ) of dynamic metabolite profiles, which correlated with the total bacterial population, resistant subpopulation, and/or the log 10 -change of the total population (<-0.6 or >0.6, shaded green) of P. aeruginosa CW41 challenged with ceftolozane-tazobactam (C/T) in a hollow-fiber infection model ( n = 5). Metabolites notated with ** had MSI level 1 identification.
Article Snippet: A hypermutable P. aeruginosa clinical isolate, CW41, was challenged with ceftolozane-tazobactam (Zerbaxa, MSD, Australia) in the HFIM (C3008-1 cartridges; FiberCell Systems Inc., Frederick, MD, USA), in five biological replicates performed across two studies.
Techniques: Infection