Literature DB >> 25453994

Effect of CKD and dialysis modality on exposure to drugs cleared by nonrenal mechanisms.

Benjamin K A Thomson1, Thomas D Nolin2, Thomas J Velenosi3, David A Feere3, Michael J Knauer3, Linda J Asher1, Andrew A House4, Bradley L Urquhart5.   

Abstract

BACKGROUND: Patients with kidney disease frequently experience adverse effects from medication exposure, even when drugs are cleared by nonrenal pathways. Although many studies suggest that nonrenal drug clearance is decreased in chronic kidney disease (CKD), there remains a paucity of in vivo studies in patients with varying degrees of decreased kidney function and those comparing the impact of dialysis modality (eg, hemodialysis [HD] and peritoneal dialysis [PD]). STUDY
DESIGN: We performed in vivo clinical pharmacokinetic studies of midazolam, a nonrenally cleared specific probe for CYP3A4, and fexofenadine, a nonspecific probe for hepatic and intestinal transporters. SETTING & PARTICIPANTS: Healthy controls (n=8), patients with non-dialysis-dependent (NDD)-CKD (n=8), and patients receiving HD (n=10) or PD (n=8). OUTCOMES: Exposure to midazolam and fexofenadine were quantified using area under the curve (AUC). Comprehensive pharmacokinetic parameters also were calculated for both probes.
RESULTS: Midazolam AUC was significantly higher in the HD group (382.8 h·ng/mL) than in the healthy-control (63.0 h·ng/mL; P<0.001), NDD-CKD (84.5 h·ng/mL; P=0.002), and PD (47.4 h·ng/mL; P<0.001) groups. Fexofenadine AUC was significantly higher in each of the NDD-CKD (2,950 h·ng/mL; P=0.003), HD (2,327 h·ng/mL; P=0.01), and PD (2,095 h·ng/mL; P=0.04) groups compared with healthy controls (1,008 h·ng/mL). LIMITATIONS: Small study groups had different proportions of diabetic patients, early stages of CKD not available.
CONCLUSIONS: Our data suggest that selection of dialysis modality is a major determinant of exposure to the CYP3A4 probe midazolam. Exposure to the intestinal and hepatic transporter probe fexofenadine is altered in patients with NDD-CKD and PD and HD patients. Thus, drug development and licensing of nonrenally cleared drugs should include evaluation in these 3 patient groups, with these results included in approved product information labeling. This reinforces the critical need for more in vivo studies of humans that evaluate the exposure to drugs cleared by these pathways.
Copyright © 2015 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CYP3A4; Nonrenal drug clearance; adverse effects; chronic kidney disease (CKD); cytochrome P450; drug metabolism; hemodialysis (HD); hepatic and intestinal drug transporters; medication exposure; peritoneal dialysis (PD); pharmacokinetics

Mesh:

Substances:

Year:  2014        PMID: 25453994     DOI: 10.1053/j.ajkd.2014.09.015

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  12 in total

1.  Prediction of the Effect of Renal Impairment on the Pharmacokinetics of New Drugs.

Authors:  Elisa Borella; Italo Poggesi; Paolo Magni
Journal:  Clin Pharmacokinet       Date:  2018-04       Impact factor: 6.447

2.  β-Blocker Dialyzability in Maintenance Hemodialysis Patients: A Randomized Clinical Trial.

Authors:  Alvin Tieu; Thomas J Velenosi; Andrew S Kucey; Matthew A Weir; Bradley L Urquhart
Journal:  Clin J Am Soc Nephrol       Date:  2018-03-08       Impact factor: 8.237

Review 3.  A Synopsis of Clinical Pharmacokinetic Alterations in Advanced CKD.

Authors:  Thomas D Nolin
Journal:  Semin Dial       Date:  2015-04-08       Impact factor: 3.455

4.  Levetiracetam Pharmacokinetics in a Critically Ill Anephric Patient on Intermittent Hemodialysis.

Authors:  Patrick M Wieruszewski; Kianoush B Kashani; Alejandro A Rabinstein; Erin Frazee
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

5.  Determining the Effects of Chronic Kidney Disease on Organic Anion Transporter1/3 Activity Through Physiologically Based Pharmacokinetic Modeling.

Authors:  Samuel Dubinsky; Paul Malik; Dagmar M Hajducek; Andrea Edginton
Journal:  Clin Pharmacokinet       Date:  2022-05-05       Impact factor: 5.577

6.  Disease-Associated Changes in Drug Transporters May Impact the Pharmacokinetics and/or Toxicity of Drugs: A White Paper From the International Transporter Consortium.

Authors:  Raymond Evers; Micheline Piquette-Miller; Joseph W Polli; Frans G M Russel; Jason A Sprowl; Kimio Tohyama; Joseph A Ware; Saskia N de Wildt; Wen Xie; Kim L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2018-07-12       Impact factor: 6.875

Review 7.  Microbiota-derived uremic retention solutes: perpetrators of altered nonrenal drug clearance in kidney disease.

Authors:  Alexander J Prokopienko; Thomas D Nolin
Journal:  Expert Rev Clin Pharmacol       Date:  2017-09-20       Impact factor: 5.045

8.  CYP3A5 polymorphism affects the increase in CYP3A activity after living kidney transplantation in patients with end stage renal disease.

Authors:  Yosuke Suzuki; Takashi Fujioka; Fuminori Sato; Kunihiro Matsumoto; Nanako Muraya; Ryota Tanaka; Yuhki Sato; Keiko Ohno; Hiromitsu Mimata; Satoshi Kishino; Hiroki Itoh
Journal:  Br J Clin Pharmacol       Date:  2015-10-03       Impact factor: 4.335

9.  Taking Sleeping Pills and the Risk of Chronic Kidney Disease: A Nationwide Population-Based Retrospective Cohort Study.

Authors:  Chen-Yi Liao; Chi-Hsiang Chung; Kuo-Cheng Lu; Cheng-Yi Cheng; Sung-Sen Yang; Wu-Chien Chien; Chia-Chao Wu
Journal:  Front Pharmacol       Date:  2021-01-25       Impact factor: 5.810

10.  Effect of Chronic Kidney Disease on Nonrenal Elimination Pathways: A Systematic Assessment of CYP1A2, CYP2C8, CYP2C9, CYP2C19, and OATP.

Authors:  Ming-Liang Tan; Kenta Yoshida; Ping Zhao; Lei Zhang; Thomas D Nolin; Micheline Piquette-Miller; Aleksandra Galetin; Shiew-Mei Huang
Journal:  Clin Pharmacol Ther       Date:  2017-10-09       Impact factor: 6.875

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