4.6 Article

Influences of Organic Cation Transporter Polymorphisms on the Population Pharmacokinetics of Metformin in Healthy Subjects

期刊

AAPS JOURNAL
卷 15, 期 2, 页码 571-580

出版社

SPRINGER
DOI: 10.1208/s12248-013-9460-z

关键词

genetic polymorphism; metformin; OCTs; population pharmacokinetics

资金

  1. National Research Foundation of Korea (NRF)
  2. Korea government (MEST) [2011-0029209]
  3. National Research Foundation of Korea [2011-0029209] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study investigated the effects of genetic polymorphisms in organic cation transporter (OCT) genes, such as OCT1-3, OCTN1, MATE1, and MATE2-K, on metformin pharmacokinetics. Of particular interest was the influence of genetic polymorphisms as covariates on the variability in the population pharmacokinetics (PPK) of metformin using nonlinear mixed effects modeling (NONMEM). In a retrospective data analysis, data on subjects from five independent metformin bioequivalence studies that used the same protocol were assembled and compared with 96 healthy control subjects who were administered a single oral 500 mg dose of metformin. Genetic polymorphisms of OCT2-808 G > T and OCTN1-917C > T had a significant (P < 0.05) effect on metformin pharmacokinetics, yielding a higher peak concentration with a larger area under the serum time-concentration curve. The values obtained were 102 +/- 34.5 L/h for apparent oral clearance (CL/F), 447 +/- 214 L for volume of distribution (V (d)/F), and 3.1 +/- 0.9 h for terminal half-life (mean +/- SD) by non-compartmental analysis. The NONMEM method gives similar results. The metformin serum levels were obtained by setting the one-compartment model to a first-order absorption and lag time. In the PPK model, the effects of OCT2-808 G > T and OCTN1-917C > T variants on the CL/F were significant (P < 0.001 and P < 0.05, respectively). Thus, genetic variants of OCTN1-917C > T, along with OCT2-808 G > T genetic polymorphisms, could be useful in titrating the optimal metformin dose.

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