scispace - formally typeset
Open AccessJournal ArticleDOI

Development and qualification of a pharmacodynamic model for the pronounced inoculum effect of ceftazidime against Pseudomonas aeruginosa.

TLDR
The proposed PKPD model successfully described and predicted the pronounced inoculum effect of ceftazidime in vitro and integrated data from eight literature studies to support translation from time-kill experiments to in vitro infection models.
Abstract
Pseudomonas aeruginosa is an opportunistic, gram-negative pathogen responsible for high morbidity and mortality (19). P. aeruginosa has multiple mechanisms of resistance to antibiotics, including efflux pumps, the enzymatic degradation of antibiotics by, e.g., beta-lactamases, and target structure alteration (19, 25, 45). Due to its remarkable ability to resist killing by antibiotics (45), many P. aeruginosa isolates from nosocomial infections are multidrug resistant. The proportion of ceftazidime-resistant P. aeruginosa isolates from intensive care units increased from approximately 14% in 1997 to 24% in 2003 in the United States (23). Infections with a high bacterial density at the initiation of antibiotic therapy may present a therapeutic problem, including a higher risk for the emergence of resistance due to the larger number of bacteria present and the higher probability of having at least one resistant bacterial cell within a large initial inoculum (CFUo) (32). The probability of the emergence of resistance may be substantially increased at high CFUo, as the amplification of resistant subpopulations has been demonstrated to occur secondarily to low-intensity antimicrobial exposure (60). The inoculum effect was first described by Kirby (34) in vitro for penicillin activity against staphylococci. Subsequently, many studies assessed the effect of CFUo on the MIC (6, 16). Mouton et al. (47, 48) derived the relationship between MIC and CFUo if the growth rate and maximal killing rate constant are independent of the CFUo. This effect of the CFUo on the MIC needs to be distinguished from the inoculum effect in our time-kill study, since we assessed the effect of the CFUo on the rate of bacterial killing. Importantly, high CFUo are associated with increased mortality and attenuate antibiotic effects in animal infection models (6, 20, 57). Potential mechanistic explanations for the inoculum effect of beta-lactams include the breakdown of beta-lactams by beta-lactamases, cell-to-cell communication, and the differential expression of penicillin-binding proteins (PBPs) at a high bacterial density (14, 57). In P. aeruginosa, cell-to-cell communication is known to be mediated by the release of freely diffusible signal molecules such as two N-acylhomoserine lactones and the Pseudomonas quinolone signal molecule (2-heptyl-3-hydroxy-4-quinolone) (29, 54). High concentrations of the N-butyryl-l-homoserine lactone signal molecule induce the expression of MexAB-OprM in P. aeruginosa (40, 53), for which ceftazidime is a substrate (5, 19, 41), and the mexAB-oprM operon has its highest expression during the mid-stationary-growth phase (40). These signal molecules are known to affect the expression of several hundred genes in P. aeruginosa (54). Mathematical models that can describe a slower bacterial killing rate at high CFUo have not been published. A pharmacokinetic/pharmacodynamic (PKPD) model that can describe the inoculum effect of P. aeruginosa may support the optimization of dosage regimens and generate hypotheses on how to minimize the emergence of resistance for new and established antibiotics. The objectives of the current study were to (i) study the effect of CFUo on the rate and extent of the killing of P. aeruginosa PAO1 by ceftazidime in vitro, (ii) develop a mechanism-based, mathematical model that can accommodate a range of CFUo, and (iii) qualify this model by integrating literature results for in vitro PD models with P. aeruginosa PAO1 and P. aeruginosa ATCC 27853 for ceftazidime monotherapy. (This work was presented in part at the 2008 Annual Meeting of the Population Approach Group in Australia & New Zealand, Dunedin, New Zealand, and at the 2007 Annual Meeting of the American Association of Pharmaceutical Scientists, San Diego, CA.)

read more

Citations
More filters
Journal ArticleDOI

Pharmacokinetic-Pharmacodynamic Modeling of Antibacterial Drugs

TL;DR: The value of PKPD modeling is summarized and an overview of the characteristics of available PKPD models of antibiotics based on in vitro, animal, and patient data are provided.
Journal ArticleDOI

Pharmacokinetic/Pharmacodynamic (PK/PD) Indices of Antibiotics Predicted by a Semimechanistic PKPD Model: a Step toward Model-Based Dose Optimization

TL;DR: This study supports the use of PKPD models built from in vitro time-kill curves in the development of optimal dosing regimens for antibacterial drugs by identifying the previously determined PK/PD indices.
Journal ArticleDOI

Compensation of Fitness Costs and Reversibility of Antibiotic Resistance Mutations

TL;DR: A theoretical model is developed with which both a resistance and a compensation locus are considered, which proposes an intuitively understandable parameterization for the fitness values of the four resulting genotypes in the absence and presence of treatment.
Journal ArticleDOI

Attenuation of Colistin Bactericidal Activity by High Inoculum of Pseudomonas aeruginosa Characterized by a New Mechanism-Based Population Pharmacodynamic Model

TL;DR: The proposed mechanism-based model had a good predictive performance, could describe killing by colistin for all three studied strains and for two literature studies, and performed well in a prospective validation with various concentrations of Ca2+ and Mg2+.
Journal ArticleDOI

Pharmacodynamic Modeling of Anti-Cancer Activity of Tetraiodothyroacetic Acid in a Perfused Cell Culture System

TL;DR: The in vitro perfusion cancer cell system together with mathematical modeling successfully described the anti-proliferative effects over time of tetrac and nano-tetrac and may be useful for dose-finding and studying the pharmacodynamics of other chemotherapeutic agents or their combinations.
References
More filters
Journal ArticleDOI

The Pharmacological Basis of Therapeutics

Louis S. Goodman, +1 more
- 01 May 1941 - 
Book

Goodman & Gilman's The Pharmacological Basis of Therapeutics

TL;DR: Goodman and Gilman's the pharmacological basis of therapeutics , Goodman and Gilmann's the pharmaceutica basis for drug discovery, and more.
Book

Transformation and Weighting in Regression

TL;DR: The Transform-Both-Sides Methodology as mentioned in this paper combines Transformations and Weighting for least square estimation and inference for Variance Functions, which has been applied to generalized least squares and the analysis of heteroscedasticity.
Journal ArticleDOI

Overview of Nosocomial Infections Caused by Gram-Negative Bacilli

TL;DR: Significant increases in resistance rates were uniformly seen for selected antimicrobial-pathogen combinations in intensive care units (ICUs) for the most frequent types of hospital-acquired infection.
Related Papers (5)