Literature DB >> 31062064

A population pharmacokinetic model of intravenous telavancin in healthy individuals to assess tissue exposure.

Sami Ullah1, Peter Matzneller2, Markus Zeitlinger2, Uwe Fuhr3, Max Taubert3.   

Abstract

Non-compartmental analysis of telavancin microdialysis data indicated a sustained exposure in soft tissues and that unbound plasma concentrations were underestimated in vitro. The objective of the present evaluation was to develop a population pharmacokinetic model of telavancin to describe its plasma protein binding, its distribution into muscle, and subcutaneous tissue and to predict pharmacokinetic/-dynamic target attainment (PTA). Total plasma concentrations and microdialysate concentrations (plasma, subcutaneous, and muscle tissue) were available up to 24 h (plasma microdialysate, up to 8 h) post-dose from eight healthy subjects after a single intravenous infusion of 10 mg/kg telavancin. Population pharmacokinetic modeling and simulations were performed using NONMEM. A two-compartment model with saturable protein binding best described plasma concentrations. Plasma unbound fractions at steady state were 23, 15, and 11% at 100, 50, and 10% of the maximum predicted concentrations respectively. Distribution into muscle and subcutaneous tissue was non-linear and described appropriately by one additional compartment each. Based on total plasma concentrations, predicted median (95% confidence interval) values of AUC/MIC (MIC 0.125 mg/L, clinical breakpoint for MRSA) at steady state were 4009 [3421-4619] with a PTA of 96 [78-100] %. The fAUC/MIC in muscle was 496 [227-1232] with a PTA of 100 [98-100] %. The %fT>MIC was approximately 100% in plasma and interstitial space fluid of muscle and subcutaneous tissues up to an MIC of 0.25 mg/L. The model provided a new hypothesis on telavancin plasma protein binding in vivo. Proposed pharmacodynamic targets in plasma and muscle are achieved with currently approved doses of 10 mg/kg daily.

Entities:  

Keywords:  Methicillin-resistant Staphylococcus aureus; Population pharmacokinetics; Probability of target attainment; Saturable protein binding; Skin and soft tissue infections; Telavancin

Mesh:

Substances:

Year:  2019        PMID: 31062064     DOI: 10.1007/s00210-019-01647-w

Source DB:  PubMed          Journal:  Naunyn Schmiedebergs Arch Pharmacol        ISSN: 0028-1298            Impact factor:   3.000


  24 in total

1.  Pharmacokinetics, serum inhibitory and bactericidal activity, and safety of telavancin in healthy subjects.

Authors:  J P Shaw; J Seroogy; K Kaniga; D L Higgins; M Kitt; S Barriere
Journal:  Antimicrob Agents Chemother       Date:  2005-01       Impact factor: 5.191

2.  An integrated model for the analysis of pharmacokinetic data from microdialysis experiments.

Authors:  Karin Tunblad; Margareta Hammarlund-Udenaes; E Niclas Jonsson
Journal:  Pharm Res       Date:  2004-09       Impact factor: 4.200

3.  Telavancin, a multifunctional lipoglycopeptide, disrupts both cell wall synthesis and cell membrane integrity in methicillin-resistant Staphylococcus aureus.

Authors:  Deborah L Higgins; Ray Chang; Dmitri V Debabov; Joey Leung; Terry Wu; Kevin M Krause; Erik Sandvik; Jeffrey M Hubbard; Koné Kaniga; Donald E Schmidt; Qiufeng Gao; Robert T Cass; Dane E Karr; Bret M Benton; Patrick P Humphrey
Journal:  Antimicrob Agents Chemother       Date:  2005-03       Impact factor: 5.191

4.  Tissue penetration of telavancin after intravenous administration in healthy subjects.

Authors:  Heather K Sun; Kenneth Duchin; Charles H Nightingale; Jeng-Pyng Shaw; Julie Seroogy; David P Nicolau
Journal:  Antimicrob Agents Chemother       Date:  2006-02       Impact factor: 5.191

5.  Evaluation of daptomycin, telavancin, teicoplanin, and vancomycin activity in the presence of albumin or serum.

Authors:  Brian T Tsuji; Steven N Leonard; Paul R Rhomberg; Ronald N Jones; Michael J Rybak
Journal:  Diagn Microbiol Infect Dis       Date:  2008-01-14       Impact factor: 2.803

6.  Multiple-dose pharmacokinetics of intravenous telavancin in healthy male and female subjects.

Authors:  Shekman L Wong; Steven L Barriere; Michael M Kitt; Michael R Goldberg
Journal:  J Antimicrob Chemother       Date:  2008-06-26       Impact factor: 5.790

7.  Telavancin penetration into human epithelial lining fluid determined by population pharmacokinetic modeling and Monte Carlo simulation.

Authors:  Thomas P Lodise; Mark Gotfried; Steven Barriere; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2008-04-21       Impact factor: 5.191

8.  Saturable binding of indisulam to plasma proteins and distribution to human erythrocytes.

Authors:  Anthe S Zandvliet; William Copalu; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Drug Metab Dispos       Date:  2006-03-24       Impact factor: 3.922

9.  Pharmacodynamics of telavancin (TD-6424), a novel bactericidal agent, against gram-positive bacteria.

Authors:  Sharath S Hegde; Noe Reyes; Tania Wiens; Nicole Vanasse; Robert Skinner; Julia McCullough; Koné Kaniga; John Pace; Roger Thomas; Jeng-Pyng Shaw; Glen Obedencio; J Kevin Judice
Journal:  Antimicrob Agents Chemother       Date:  2004-08       Impact factor: 5.191

10.  Extensions to the visual predictive check to facilitate model performance evaluation.

Authors:  Teun M Post; Jan I Freijer; Bart A Ploeger; Meindert Danhof
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-01-16       Impact factor: 2.745

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Authors:  Zoe Oesterreicher; Sabine Eberl; Beatrix Wulkersdorfer; Peter Matzneller; Claudia Eder; Esther van Duijn; Wouter H J Vaes; Birgit Reiter; Thomas Stimpfl; Walter Jäger; Alina Nussbaumer-Proell; Daniela Marhofer; Peter Marhofer; Oliver Langer; Markus Zeitlinger
Journal:  Clin Pharmacokinet       Date:  2022-01-07       Impact factor: 5.577

2.  Assessing parameter uncertainty in small-n pharmacometric analyses: value of the log-likelihood profiling-based sampling importance resampling (LLP-SIR) technique.

Authors:  Astrid Broeker; Sebastian G Wicha
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-04-04       Impact factor: 2.745

3.  Which Analysis Approach Is Adequate to Leverage Clinical Microdialysis Data? A Quantitative Comparison to Investigate Exposure and Reponse Exemplified by Levofloxacin.

Authors:  David Busse; André Schaeftlein; Alexander Solms; Luis Ilia; Robin Michelet; Markus Zeitlinger; Wilhelm Huisinga; Charlotte Kloft
Journal:  Pharm Res       Date:  2021-03-15       Impact factor: 4.200

  3 in total

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