Literature DB >> 16291876

Is the monkey an appropriate animal model to examine drug-drug interactions involving renal clearance? Effect of probenecid on the renal elimination of H2 receptor antagonists.

Harunobu Tahara1, Hiroyuki Kusuhara, Michihiro Chida, Eiichi Fuse, Yuichi Sugiyama.   

Abstract

The renal drug-drug interaction between famotidine (an H(2) receptor antagonist) and probenecid has not been reproduced in rats. We have proposed that this is caused by a species difference in the transport activity by human/rat organic anion transporter (OAT) 3 and the expression of organic cation transporter (OCT) 1 in the rodent kidney. Since monkey OATs (mkOATs) exhibit similar transport activities to human orthologs, it is hypothesized that in vivo studies in monkeys will allow a more precise prediction of renal drug-drug interactions in humans. Famotidine and cimetidine were efficiently taken up by mkOAT3-expressing human embryonic kidney cells (Km, 154 and 71 microM, respectively), and their uptake was strongly inhibited by probenecid (Ki, 3.0-5.7 microM). Quantification of mkOCT1 and mkOCT2 mRNAs in the monkey kidney using real-time reverse transcription-polymerase chain reaction revealed their predominant expression in the liver and kidney, respectively. Crossover studies were conducted in cynomolgus monkeys. Famotidine was given by i.v. administration, with or without probenecid. Probenecid treatment caused a 65% reduction in the renal clearance (0.426 +/- 0.079 versus 0.165 +/- 0.027 l/h/kg) and a 90% reduction in the tubular secretion clearance (0.275 +/- 0.075 versus 0.0230 +/- 0.0217 l/h/kg), whereas it had no effect on the renal clearance of cimetidine. In contrast to the species-dependent effect of probenecid, allometric scaling using animal data (rat, dog, and monkey) successfully predicted the renal and tubular secretion clearance of famotidine in humans. These results suggest that monkeys are more appropriate animal species for predicting the renal drug-drug interactions in humans.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16291876     DOI: 10.1124/jpet.105.094052

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  8 in total

Review 1.  Organic anion transporters of the SLC22 family: biopharmaceutical, physiological, and pathological roles.

Authors:  Ahsan N Rizwan; Gerhard Burckhardt
Journal:  Pharm Res       Date:  2007-03       Impact factor: 4.200

2.  Mechanistic models describing active renal reabsorption and secretion: a simulation-based study.

Authors:  Melanie A Felmlee; Rutwij A Dave; Marilyn E Morris
Journal:  AAPS J       Date:  2012-11-30       Impact factor: 4.009

3.  Pharmacokinetics of Cefovecin in squirrel monkey (Saimiri sciureus), rhesus macaques (Macaca mulatta), and cynomolgus macaques (Macaca fascicularis).

Authors:  Robert Papp; Aleksandar Popovic; Nancy Kelly; Richard Tschirret-Guth
Journal:  J Am Assoc Lab Anim Sci       Date:  2010-11       Impact factor: 1.232

Review 4.  Use of in vivo animal models to assess pharmacokinetic drug-drug interactions.

Authors:  Cuyue Tang; Thomayant Prueksaritanont
Journal:  Pharm Res       Date:  2010-04-29       Impact factor: 4.200

5.  The accumulation and metabolism of zidovudine in 3T3-F442A pre-adipocytes.

Authors:  Omar Janneh; Andrew Owen; Patrick G Bray; David J Back; Munir Pirmohamed
Journal:  Br J Pharmacol       Date:  2009-12-10       Impact factor: 8.739

Review 6.  Effects of drug transporters on volume of distribution.

Authors:  Anita Grover; Leslie Z Benet
Journal:  AAPS J       Date:  2009-04-28       Impact factor: 4.009

7.  Involvement of organic cation transporter-3 and plasma membrane monoamine transporter in serotonin uptake in human brain vascular smooth muscle cells.

Authors:  Rachel W S Li; Cui Yang; Y W Kwan; S W Chan; Simon M Y Lee; George P H Leung
Journal:  Front Pharmacol       Date:  2013-02-12       Impact factor: 5.810

Review 8.  Examination of Urinary Excretion of Unchanged Drug in Humans and Preclinical Animal Models: Increasing the Predictability of Poor Metabolism in Humans.

Authors:  Nadia O Bamfo; Chelsea Hosey-Cojocari; Leslie Z Benet; Connie M Remsberg
Journal:  Pharm Res       Date:  2021-07-12       Impact factor: 4.580

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.