Literature DB >> 23444281

Evaluation of the impact of UGT polymorphism on the pharmacokinetics and pharmacodynamics of the novel PPAR agonist sipoglitazar.

Frances Stringer1, Bart A Ploeger, Joost DeJongh, Graham Scott, Richard Urquhart, Aziz Karim, Meindert Danhof.   

Abstract

Sipoglitazar is a peroxisome proliferator-activated receptor α, δ, and γ agonist. During phase I, a wide distribution of clearance between individuals was observed. Hypothesized to result from a polymorphism in the uridine 5'-diphospate-glucuronosyltransferase (UGT)2B15 enzyme, pharmacogenetic samples were collected from each individual for genotyping UGT2B15 in a subsequent phase I trial in healthy subjects (n = 524) and in 2 phase II trials in type 2 diabetes subjects (n = 627), total genotype frequency was as follows: *1/*1 (22%), *1/*2 (51%), and *2/*2 (27%). The impact of genotype on exposure was assessed using a pharmacokinetic modeling approach; the influence of genotype on efficacy was evaluated using 12-week HbA1c change from baseline. Model analysis demonstrated UGT2B15 genotype accounted significantly for the variability in sipoglitazar clearance; however, a small fraction of subjects had a clearance that could not be explained entirely by genotype. HbA1c drop increased with daily drug dose. When stratified by both dose and genotype, HbA1c drop was larger in the UGT2B15*2/*2 compared with UGT2B15*1/*1 and UGT2B15*1/*2 genotypes (P < .05). In summary, UGT2B15 genotype is a strong predictor for sipoglitazar clearance; a greater clinical response observed in the UGT2B15*2/*2 genotype appears to confirm this. However, overlap in individual rates of clearance across genotypes remains after accounting for genotype.
© The Author(s) 2013.

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Year:  2013        PMID: 23444281     DOI: 10.1177/0091270012447121

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


  3 in total

1.  The effect of genetic polymorphisms in UGT2B15 on the pharmacokinetic profile of sipoglitazar, a novel anti-diabetic agent.

Authors:  Frances Stringer; Graham Scott; Marian Valbuena; Judith Kinley; Mitsuhiro Nishihara; Richard Urquhart
Journal:  Eur J Clin Pharmacol       Date:  2012-09-09       Impact factor: 2.953

Review 2.  Using Pharmacogenetics of Direct Oral Anticoagulants to Predict Changes in Their Pharmacokinetics and the Risk of Adverse Drug Reactions.

Authors:  Natalia A Shnayder; Marina M Petrova; Pavel A Shesternya; Alina V Savinova; Elena N Bochanova; Olga V Zimnitskaya; Elena A Pozhilenkova; Regina F Nasyrova
Journal:  Biomedicines       Date:  2021-04-22

3.  Evaluation of the estimation and classification performance of NONMEM when applying mixture model for drug clearance.

Authors:  Ka Ho Hui; Tai Ning Lam
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-10-24
  3 in total

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