Evidence map›Paper›PMID 27578330›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2017

A whole-body physiologically based pharmacokinetic (WB-PBPK) model of ciprofloxacin: a step towards predicting bacterial killing at sites of infection.

Muhammad W Sadiq, Elisabet I Nielsen, Dalia Khachman, Jean-Marie Conil, Bernard Georges, Georges Houin, Celine M Laffont, Mats O Karlsson, Lena E Friberg

Abstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  6. Observational
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  11. Optimization and Validation of Dosage Regimen for Ceftiofur againstInternational journal of molecular sciences · 2022
    Article
  12. Review
  13. Review
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  20. The use of PBPK modeling across the pediatric age range using propofol as a case.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Muhammad W SadiqDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden.
Elisabet I NielsenDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden.
Dalia KhachmanINRA, Toxalim, Toulouse, France.
Jean-Marie ConilLaboratoire de Pharmacocinetique et Toxicologie Clinique, Hospital Purpan, Institut Federatif de Biologie, Toulouse, France.
Bernard GeorgesLaboratoire de Pharmacocinetique et Toxicologie Clinique, Hospital Purpan, Institut Federatif de Biologie, Toulouse, France.
Georges HouinLaboratoire de Pharmacocinetique et Toxicologie Clinique, Hospital Purpan, Institut Federatif de Biologie, Toulouse, France.
Celine M LaffontINRA, Toxalim, Toulouse, France.
Mats O KarlssonDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden.
Lena E FribergDepartment of Pharmaceutical Biosciences, Uppsala University, Box 591, 75124, Uppsala, Sweden. lena.friberg@farmbio.uu.se.ORCID http://orcid.org/0000-0002-2979-679X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 .

Indexed as

Anti-Bacterial AgentsArea Under CurveCiprofloxacinComputer SimulationEscherichia coliEscherichia coli InfectionsFemaleHumansMaleMiddle AgedModels, BiologicalTissue DistributionAnti-Bacterial AgentsCiprofloxacinAntibioticBacterial infectionFluoroquinoloneInformative priorsModelingNONMEMPharmacokinetic-pharmacodynamicPhysiologically-based pharmacokinetic

Identifiers

PMID27578330
PMCPMC5376394

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.