Literature DB >> 18215509

A pharmacokinetic/pharmacodynamic mathematical model accurately describes the activity of voriconazole against Candida spp. in vitro.

Yanjun Li1, M Hong Nguyen, Shaoji Cheng, Stephan Schmidt, Li Zhong, Hartmut Derendorf, Cornelius J Clancy.   

Abstract

We developed a pharmacokinetic/pharmacodynamic (PK/PD) mathematical model that fits voriconazole time-kill data against Candida isolates in vitro and used the model to simulate the expected kill curves for typical intravenous and oral dosing regimens. A series of Emax mathematical models were used to fit time-kill data for two isolates each of Candida albicans, Candida glabrata and Candida parapsilosis. PK parameters extracted from human data sets were used in the model to simulate kill curves for each isolate. Time-kill data were best fit by using an adapted sigmoidal Emax model that corrected for delays in candidal growth and the onset of voriconazole activity, saturation of the number of Candida and the steepness of the concentration-response curve. The rates of maximal killing by voriconazole (kmax) were highly correlated with the growth rates (ks) of the isolates (Pearson's correlation coefficient=0.9861). Simulations using PK parameters derived from the human data sets showed fungistatic effects against each of the isolates. In conclusion, we demonstrated that the activity of voriconazole against Candida isolates can be accurately described using a mathematical model. In the future, it might be possible to devise optimal dosing regimens of voriconazole using the model and PK data collected in vivo.

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Year:  2008        PMID: 18215509      PMCID: PMC2367122          DOI: 10.1016/j.ijantimicag.2007.11.015

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  8 in total

Review 1.  Pharmacokinetic/pharmacodynamic evaluation of anti-infective agents.

Authors:  Edgar L Schuck; Hartmut Derendorf
Journal:  Expert Rev Anti Infect Ther       Date:  2005-06       Impact factor: 5.091

Review 2.  Pharmacokinetic/pharmacodynamic profile of voriconazole.

Authors:  Ursula Theuretzbacher; Franziska Ihle; Hartmut Derendorf
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

3.  Pharmacokinetic/pharmacodynamic modeling of in vitro activity of azithromycin against four different bacterial strains.

Authors:  Wanchai Treyaprasert; Stephan Schmidt; Kenneth H Rand; Uthai Suvanakoot; Hartmut Derendorf
Journal:  Int J Antimicrob Agents       Date:  2006-12-27       Impact factor: 5.283

4.  Pharmacokinetic-pharmacodynamic modelling of antibacterial activity of cefpodoxime and cefixime in in vitro kinetic models.

Authors:  Ping Liu; Kenneth H Rand; Bernd Obermann; Hartmut Derendorf
Journal:  Int J Antimicrob Agents       Date:  2005-02       Impact factor: 5.283

5.  Voriconazole versus a regimen of amphotericin B followed by fluconazole for candidaemia in non-neutropenic patients: a randomised non-inferiority trial.

Authors:  B J Kullberg; J D Sobel; M Ruhnke; P G Pappas; C Viscoli; J H Rex; J D Cleary; E Rubinstein; L W P Church; J M Brown; H T Schlamm; I T Oborska; F Hilton; M R Hodges
Journal:  Lancet       Date:  2005 Oct 22-28       Impact factor: 79.321

6.  Pharmacokinetics and safety of voriconazole following intravenous- to oral-dose escalation regimens.

Authors:  L Purkins; N Wood; P Ghahramani; K Greenhalgh; M J Allen; D Kleinermans
Journal:  Antimicrob Agents Chemother       Date:  2002-08       Impact factor: 5.191

7.  In vivo pharmacokinetics and pharmacodynamics of a new triazole, voriconazole, in a murine candidiasis model.

Authors:  D Andes; K Marchillo; T Stamstad; R Conklin
Journal:  Antimicrob Agents Chemother       Date:  2003-10       Impact factor: 5.191

8.  Measurement of voriconazole activity against Candida albicans, C. glabrata, and C. parapsilosis isolates using time-kill methods validated by high-performance liquid chromatography.

Authors:  Yanjun Li; M Hong Nguyen; Hartmut Derendorf; Shaoji Cheng; Cornelius J Clancy
Journal:  Antimicrob Agents Chemother       Date:  2007-05-21       Impact factor: 5.191

  8 in total
  9 in total

1.  Pharmacodynamic modeling of in vitro activity of marbofloxacin against Escherichia coli strains.

Authors:  M Andraud; C Chauvin; P Sanders; M Laurentie
Journal:  Antimicrob Agents Chemother       Date:  2010-11-15       Impact factor: 5.191

Review 2.  In vitro pharmacokinetic/pharmacodynamic models in anti-infective drug development: focus on TB.

Authors:  Pavan K Vaddady; Richard E Lee; Bernd Meibohm
Journal:  Future Med Chem       Date:  2010-08       Impact factor: 3.808

3.  Formalizing an integrative, multidisciplinary cancer therapy discovery workflow.

Authors:  Mary F McGuire; Heiko Enderling; Dorothy I Wallace; Jaspreet Batra; Marie Jordan; Sushil Kumar; John C Panetta; Eddy Pasquier
Journal:  Cancer Res       Date:  2013-08-16       Impact factor: 12.701

4.  Evaluation of bactec mycosis IC/F and Plus Aerobic/F blood culture bottles for detection of Candida in the presence of antifungal agents.

Authors:  Robin Köck; Lea C Eißing; Matthias G Boschin; Björn Ellger; Dagmar Horn; Evgeny A Idelevich; Karsten Becker
Journal:  J Clin Microbiol       Date:  2013-08-28       Impact factor: 5.948

5.  In vitro pharmacokinetic/pharmacodynamic modeling of voriconazole activity against Aspergillus species in a new in vitro dynamic model.

Authors:  R Al-Saigh; A Elefanti; A Velegraki; L Zerva; J Meletiadis
Journal:  Antimicrob Agents Chemother       Date:  2012-08-06       Impact factor: 5.191

6.  A simple in vitro PK/PD model system to determine time-kill curves of drugs against Mycobacteria.

Authors:  Nageshwar R Budha; Robin B Lee; Julian G Hurdle; Richard E Lee; Bernd Meibohm
Journal:  Tuberculosis (Edinb)       Date:  2009-09-11       Impact factor: 3.131

Review 7.  Host-pathogen interactions between the human innate immune system and Candida albicans-understanding and modeling defense and evasion strategies.

Authors:  Sybille Dühring; Sebastian Germerodt; Christine Skerka; Peter F Zipfel; Thomas Dandekar; Stefan Schuster
Journal:  Front Microbiol       Date:  2015-06-30       Impact factor: 5.640

Review 8.  Pharmacokinetic/Pharmacodynamic Modeling and Application in Antibacterial and Antifungal Pharmacotherapy: A Narrative Review.

Authors:  Laiz Campos Pereira; Marcelo Aguiar de Fátima; Valdeene Vieira Santos; Carolina Magalhães Brandão; Izabel Almeida Alves; Francine Johansson Azeredo
Journal:  Antibiotics (Basel)       Date:  2022-07-22

9.  How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig-multiple bacterial strain model.

Authors:  Kaare Græsbøll; Søren Saxmose Nielsen; Nils Toft; Lasse Engbo Christiansen
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

  9 in total

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