Objective The goal of this study was to determine the effect of a genetic variant in the organic cation transporter 2 (OCT2), OCT2-808G/T, which results in an amino acid change, A270S, on the pharmacokinetics of the antidiabetic drug, metformin. Methods The uptake of metformin was performed in stably transfected HEK-293 cells expressing the empty vector (MOCK), the reference OCT2-808G, and the variant OCT2-808T. Healthy individuals with known OCT2 genotypes [14 homozygous for the OCT2 reference allele (808G/G) and nine heterozygous for the variant allele (808G/T, *3D)] were recruited to this study. Metformin concentrations in plasma and urine were measured by liquid chromatography–tandem mass spectrometry method. Creatinine levels were also measured in plasma and urine. Pharmacokinetic parameters were evaluated for both the groups. Results We observed that in HEK-293 stably transfected cells, OCT2-808T had a greater capacity to transport metformin than did the reference OCT2. Metformin pharmacokinetics was characterized in 23 healthy volunteers of Caucasian and African-American ancestries. We observed that the renal clearance (CLR) and the net secretion (SrCLR) of metformin were significantly different between the volunteers heterozygous for the variant allele (808G/T), and the volunteers homozygous for the reference allele (808G/G) (P<0.005). Multivariate analysis revealed that OCT2 genotype was a significant predictor of CLR and SrCLR of metformin (P<0.01). Conclusion We conclude that genetic variation in OCT2 plays an important role in the CLR and SrCLR of metformin in healthy volunteers.

OBJECTIVES:The organic anion transporter, OAT1 (SLC22A6), plays a role in the renal elimination of many drugs and environmental toxins. The goal of this study was to identify and functionally characterize OAT1 variants as a first step towards understanding whether genetic variation in OAT1 may contribute to interindividual differences in renal elimination of xenobiotics.METHODS:As part of a larger study, 276 DNA samples from an ethnically diverse population were screened and 12 coding region variants of OAT1 were identified. The non-synonymous variants were then constructed and characterized in Xenopus laevis oocytes. A small family-based clinical study was conducted to determine the renal elimination of a model OAT1 substrate, adefovir (an antiviral agent) in human subjects who possessed a non-functional variant, OAT1-R454Q.RESULTS:Six non-synonymous variants were identified; two (OAT1-R50 H and OAT1-R293W) were present at > or = 1% in at least one ethnic population. These two variants exhibited normal uptake of p-aminohippurate, ochratoxin A and methotrexate assayed in X. laevis oocytes. One variant, OAT1-R454Q, was non-functional with respect to the above substrates. In the clinical study, there was no significant decrease in the renal secretory clearance of adefovir in family members heterozygous for OAT1-454Q in comparison to those with the reference transporter, OAT1-454R.CONCLUSIONS:These data indicate that the coding region of OAT1 has low genetic and functional diversity and suggest that coding region variants of OAT1 may not contribute substantially to interindividual differences in renal elimination of xenobiotics.

Category: Genotype PharmGKB Submission Number: PS203001 Date of Submission: June 16, 2003 Project: Pharmacogenetics of Membrane Transporters HGNC Symbol: SLC22A1 HGNC Name: solute carrier family 22 (organic cation transporter), member 1

The multidisciplinary UCSF Pharmacogenetics of Membrane Transporters project seeks to systematically identify sequence variants in transporters and to determine the functional significance of these variants through evaluation of relevant cellular and clinical phenotypes. The project is structured around four interacting cores: genomics, cellular phenotyping, clinical phenotyping, and bioinformatics. The bioinformatics core is responsible for collecting, storing, and analyzing the information obtained by the other cores and for presenting the results, in particular, for the genomic data. Most of this process is automated using locally developed software written in Python, an open source language well suited for rapid, modular development that meets requirements that are themselves constantly evolving. Here we present the details of transforming ABI trace file data into useful information for project investigators and a description of the types of data analysis and display that we have developed.

Renal excretion is the major pathway for elimination of many clinically used drugs and xenobiotics. We estimated the genetic component (rGC) contributing to variation in renal clearance for six compounds (amoxicillin, ampicillin, metformin, terodiline, digoxin and iohexol) using Repeated Drug Application methodology. Data were obtained from published literature. The rGC values of renal clearance of metformin, amoxicillin, and ampicillin, which undergo transporter-mediated secretion, ranged from 0.64-0.94. This finding suggests that variation in the renal clearance of these drugs has a strong genetic component. Additionally, the rGC values of renal clearance of metformin, amoxicillin, and ampicillin were similar to previously reported rGC values for metabolism. By contrast, the rGC values of renal clearance for iohexol, digoxin, and terodiline were low (0.12-0.37). Renal clearance of these compounds occurs mainly through passive processes (e.g. glomerular filtration and passive secretion/reabsorption). The low rGC values of iohexol, digoxin and terodiline suggest that environmental factors may contribute to variation in their renal clearance.