Literature DB >> 20160157

Impact of target-mediated drug disposition on Linagliptin pharmacokinetics and DPP-4 inhibition in type 2 diabetic patients.

Silke Retlich1, Vincent Duval, Ulrike Graefe-Mody, Ulrich Jaehde, Alexander Staab.   

Abstract

The pharmacokinetics of the novel dipeptidyl-peptidase 4 (DPP-4) inhibitor linagliptin is nonlinear. Based on in vitro experiments, concentration-dependent binding to DPP-4 is the most likely cause for the nonlinearity. Population pharmacokinetic/pharmacodynamic modeling was performed using linagliptin plasma concentrations and plasma DPP-4 activities from 2 phase 2a studies. In these studies, type 2 diabetic patients received either 1, 2.5, 5, or 10 mg of linagliptin once daily over 12 days (study 1) or 2.5, 5, or 10 mg of linagliptin once daily over 28 days (study 2). The modeling results supported the hypothesis that linagliptin exhibits target-mediated drug disposition. The linagliptin plasma concentrations were best described by a 2-compartment model including concentration-dependent protein binding in the central and peripheral compartment. The plasma DPP-4 activity was included in the model in a semi-mechanistic way by relating it to the model-calculated plasma DPP-4 occupancy with linagliptin. The target binding has a major impact on linagliptin pharmacokinetics. Although unbound linagliptin is cleared efficiently (CL/F 220 L/h), the concentration-dependent binding is responsible for the long terminal half-life (approximatelly 120 hours) of linagliptin and its nonlinear pharmacokinetics. The model allowed a comprehensive understanding of the impact of target-mediated drug disposition and provides a useful tool to support clinical development.

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Year:  2010        PMID: 20160157     DOI: 10.1177/0091270009356444

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  18 in total

1.  Efficacy and safety of linagliptin (tradjenta) in adults with type-2 diabetes mellitus.

Authors:  Maisha Kelly Freeman
Journal:  P T       Date:  2011-12

2.  Target-mediated drug disposition model for drugs that bind to more than one target.

Authors:  Leonid Gibiansky; Ekaterina Gibiansky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-07-29       Impact factor: 2.745

3.  Population Pharmacokinetic/Pharmacodynamic Modelling of Dipeptidyl Peptidase IV Inhibitors.

Authors:  Cornelia B Landersdorfer
Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

4.  Mechanism-based population pharmacokinetic modelling in diabetes: vildagliptin as a tight binding inhibitor and substrate of dipeptidyl peptidase IV.

Authors:  Cornelia B Landersdorfer; Yan-Ling He; William J Jusko
Journal:  Br J Clin Pharmacol       Date:  2012-03       Impact factor: 4.335

5.  Pharmacokinetics and pharmacodynamics of single rising intravenous doses (0.5 mg-10 mg) and determination of absolute bioavailability of the dipeptidyl peptidase-4 inhibitor linagliptin (BI 1356) in healthy male subjects.

Authors:  Silke Retlich; Vincent Duval; Arne Ring; Alexander Staab; Silke Hüttner; Arvid Jungnik; Ulrich Jaehde; Klaus A Dugi; Ulrike Graefe-Mody
Journal:  Clin Pharmacokinet       Date:  2010-12       Impact factor: 6.447

6.  Pharmacokinetics of linagliptin in subjects with hepatic impairment.

Authors:  Ulrike Graefe-Mody; Peter Rose; Silke Retlich; Arne Ring; Lisa Waldhauser; Rodica Cinca; Hans-Juergen Woerle
Journal:  Br J Clin Pharmacol       Date:  2012-07       Impact factor: 4.335

Review 7.  Linagliptin: in type 2 diabetes mellitus.

Authors:  Lesley J Scott
Journal:  Drugs       Date:  2011-03-26       Impact factor: 9.546

Review 8.  Comparative clinical pharmacokinetics of dipeptidyl peptidase-4 inhibitors.

Authors:  Larry K Golightly; Caitlin C Drayna; Michael T McDermott
Journal:  Clin Pharmacokinet       Date:  2012-08-01       Impact factor: 6.447

9.  Pharmacokinetic-pharmacodynamic (dipeptidyl peptidase-4 inhibition) model to support dose rationale in diabetes patients, including those with renal impairment, for once-weekly administered omarigliptin.

Authors:  Lokesh Jain; Anne S Y Chain; Daniel A Tatosian; Jeremy Hing; Julie A Passarell; Eunkyung A Kauh; Eseng Lai
Journal:  Br J Clin Pharmacol       Date:  2019-12-09       Impact factor: 4.335

10.  Local versus systemic anti-tumour necrosis factor-α effects of adalimumab in rheumatoid arthritis: pharmacokinetic modelling analysis of interaction between a soluble target and a drug.

Authors:  David Stepensky
Journal:  Clin Pharmacokinet       Date:  2012-07-01       Impact factor: 6.447

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