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A whole-body physiologically based pharmacokinetic (WB-PBPK) model of ciprofloxacin: a step towards predicting bacterial killing at sites of infection.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. Astrazeneca, DMPK, CVMD iMED, Molndal, Sweden. (Farmakometri)
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. (Farmakometri)
INRA, Toxalim, Toulouse, France.; Univ Toulouse, Toulouse, France.
Hosp Purpan, Inst Federatif Biol, Lab Pharmacocinet & Toxicol Clin, Toulouse, France.; Hop Rangueil, Pole Anesthesie Reanimat, Toulouse, France.
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2017 (English)In: Journal of Pharmacokinetics and Pharmacodynamics, ISSN 1567-567X, E-ISSN 1573-8744, Vol. 44, no 2, p. 69-79Article in journal (Refereed) Published
Abstract [en]

The purpose of this study was to develop a whole-body physiologically based pharmacokinetic (WB-PBPK) model for ciprofloxacin for ICU patients, based on only plasma concentration data. In a next step, tissue and organ concentration time profiles in patients were predicted using the developed model. The WB-PBPK model was built using a non-linear mixed effects approach based on data from 102 adult intensive care unit patients. Tissue to plasma distribution coefficients (Kp) were available from the literature and used as informative priors. The developed WB-PBPK model successfully characterized both the typical trends and variability of the available ciprofloxacin plasma concentration data. The WB-PBPK model was thereafter combined with a pharmacokinetic-pharmacodynamic (PKPD) model, developed based on in vitro time-kill data of ciprofloxacin and Escherichia coli to illustrate the potential of this type of approach to predict the time-course of bacterial killing at different sites of infection. The predicted unbound concentration-time profile in extracellular tissue was driving the bacterial killing in the PKPD model and the rate and extent of take-over of mutant bacteria in different tissues were explored. The bacterial killing was predicted to be most efficient in lung and kidney, which correspond well to ciprofloxacin's indications pneumonia and urinary tract infections. Furthermore, a function based on available information on bacterial killing by the immune system in vivo was incorporated. This work demonstrates the development and application of a WB-PBPK-PD model to compare killing of bacteria with different antibiotic susceptibility, of value for drug development and the optimal use of antibiotics.

Place, publisher, year, edition, pages
2017. Vol. 44, no 2, p. 69-79
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-318715DOI: 10.1007/s10928-016-9486-9ISI: 000399036400002PubMedID: 27578330OAI: oai:DiVA.org:uu-318715DiVA, id: diva2:1085191
Funder
Swedish Foundation for Strategic Research EU, FP7, Seventh Framework Programme, 115156Available from: 2017-03-28 Created: 2017-03-28 Last updated: 2018-01-13Bibliographically approved

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