Inhibition of Adhesion and Invasion of \u3cem\u3ePseudomonas aeruginosa\u3c/em\u3e to Lung Epithelial Cells: A Model of Cystic Fibrosis Infection

Over their life time, CF patients experience multiple infections by various pneumoniacausing bacteria [6]. With more patients surviving to adulthood, chronic infections with Pseudomonas aeruginosa are coming to the forefront as a leading cause of death [7]. Problems presented by infected CF lung are multi-dimensional; the electrolyte balance and pH of the fluids are abnormal. The mucus is thick and of an alternative composition compared to normal lung and may contribute to colonization with Pseudomonas aeruginosa [2, 3, 5]. As such, research is multi-pronged and includes gene therapy to correct the defective protein, amelioration of inflammatory response and thinning of alveolar surface fluids [8, 9]. Significantly, Pseudomonas bacteria colonize the CF lung far easier than normal lung. Normal lung tissue has several naturally occurring defenses that work in concert with commonly prescribed antibiotics for recovery from lung infections [4, 10]. The CF patient appears to lack these natural defenses [1, 7].https://digitalcommons.chapman.edu/pharmacy_books/1009/thumbnail.jp

Comparative Pharmacodynamics of Ceftobiprole, Daptomycin, Linezolid, Telavancin, Tigecycline, and Vancomycin in the Treatment of Methicillin Resistant \u3cem\u3eStaphylococcus aureus\u3c/em\u3e: A Monte Carlo Simulation Analysis

Background/Objectives: Appropriate initial treatment choices for methicillin resistant Staphylococcus aureus (MRSA) infections are very critical. The aim of this study was to compare the ability of Ceftobiprole, Daptomycin, Linezolid, Telavancin, Tigecycline, and Vancomycin to achieve their requisite pharmacokinetic/pharmacodynamic (PK/PD) target against clinical MRSA isolates. Methods: Monte Carlo Simulations were performed to simulate the PK/PD indices of the investigated antimicrobials. Population Pharmacokinetic data and Pharmacodynamic indices were integrated into Monte Carlo Simulation routine with 10,000 iterations. Probability of target attainment (PTA) was estimated at MIC values ranging from 0.03-32 μg/ml to define the PK/PD susceptibility breakpoints. Cumulative fraction of response (CFR) was computed using MIC data from the Canadian National Ward (CAN-Ward) study collected in 2007, 2008 and 2009. Results: Analysis of the simulation results suggested the breakpoints of 8μg/ml for Ceftobiprole, 0.12 μg/ml for Daptomycin and Tigecycline, 0.5 μg/ml for Telavancin and 1 μg/ml for Linezolid and Vancomycin. The estimated CFR were 100, 66.5, 84, 89.1, 98.2, 60, 97.5 % for Ceft obiprole, Daptomycin (4mg/kg/day), Daptomycin (6mg/kg/day), Linezolid, Telavancin, Tigecycline, Vancomycin (2gm/day) and Vancomycin (3gm/day), respectively. Conclusions: Ceftobiprole and Telavancin have the highest probability of achieving favorable outcome against MRSA infections. The susceptibility results suggested a further reduction of the vancomycin breakpoint to 1 μg/ml