OBJECTIVE— Metformin, an oral glucose-lowering drug, is taken up in hepatocytes by the organic cation transporter (OCT) 1 and in renal epithelium by OCT2. In these cells, the multidrug and toxin extrusion (MATE) 1 protein, encoded by the SLC47A1 gene, is responsible for the excretion of metformin into the bile and urine, respectively. We studied the effect of single nucleotide polymorphisms (SNPs) in the SLC47A1 gene on the A1C-lowering effect of metformin. RESEARCH DESIGN AND METHODS— We identified all incident metformin users in the Rotterdam Study, a population-based cohort study. Associations between 12 tagging SNPs in the SLC47A1 gene and change in A1C level were analyzed. RESULTS— One hundred and sixteen incident metformin users were included in the study sample. The rs2289669 G>A SNP was significantly associated with metformin response. For the other SNPs, no associations were found. For each minor A allele at rs2289669, the A1C reduction was 0.30% (95% CI −0.51 to −0.10; P = 0.005) larger. After Bonferroni correction for multiple testing, the P value was 0.045. CONCLUSIONS— The rs2289669 G>A SNP is associated with a reduction in A1C level, consistent with a reduction in MATE1 transporter activity. These results suggest that the transporter MATE1, encoded by SLC47A1, may have an important role in the pharmacokinetics of metformin, although replication is necessary.

The organic cation transporter 1, encoded by the SLC22A1 gene, is responsible for the uptake of the anti-hyperglycaemic drug, metformin, in the hepatocyte. We assessed whether a genetic variation in the SLC22A1 gene is associated with the glucose-lowering effect of metformin. Incident metformin users in the Rotterdam Study, whose HbA1c measurements were available, were identified. Associations between 11 tagging single nucleotide polymorphisms in the SLC22A1 gene and change in the HbA1c level were analyzed. A total of 102 incident metformin users were included in this study sample. Except for the rs622342 A>C polymorphism, no significant differences in metformin response were observed. For each minor C allele at rs622342, the reduction in HbA1c levels was 0.28% less (95% CI 0.09–0.47, P=0.005). After Bonferroni correction, the P-value was 0.050. To conclude, genetic variation at rs622342 in the SLC22A1 gene was associated with the glucose-lowering effect of metformin in patients with diabetes mellitus.

Objective Metformin is transported into the hepatocyte by organic cation transporter 1 (OCT1) and out of the hepatocyte by multidrug and toxin extrusion 1 (MATE1). Recently, we discovered that polymorphisms rs622342 A>C in the SLC22A1 gene, coding for OCT1, and rs2289669 G>A in the SLC47A1 gene, coding for MATE1, are associated with the degree of glucose lowering by metformin. In this study, we assessed whether there exists an interaction between these two polymorphisms. Methods We identified all incident metformin users in the Rotterdam Study, a population-based cohort study. Multiplicative interaction between the polymorphisms and change in HbA1c levels was analyzed in 98 incident metformin users. Results In incident metformin users with the OCT1 rs622342 AA genotype, genetic variation at the MATE1 rs2289669 polymorphism was not associated with change in HbA1c levels [−0.10; 95% confidence interval (CI): −0.35 to 0.14; P=0.39]. In users with the OCT1 rs622342 AC genotype, there was a tendency between rs2289669 polymorphisms and change in HbA1c (−0.31; 95% CI: −0.65 to 0.03; P=0.070) and in users with the OCT1 rs622342 CC genotype there was a significant association with change in HbA1c levels (−0.68; 95% CI: −1.06 to −0.30; P=0.005). The multiplicative interaction between these two genotypes was statistically significant (−0.52; 95% CI: −0.94 to −0.11; P=0.015). Conclusion The effect of the MATE1 rs2289669 polymorphism on the glucose lowering effect of metformin is larger in incident users with the OCT1 rs622342 CC genotype than in incident users with the AA genotype. The effect in incident users with the OCT1 rs622342 AC genotype is in between.

Aims/hypothesis In this study we aimed to replicate the previously reported association between the glycaemic response to metformin and the SNP rs11212617 at a locus that includes the ataxia telangiectasia mutated (ATM) gene in multiple additional populations. Methods Incident users of metformin selected from the Diabetes Care System West-Friesland (DCS, n = 929) and the Rotterdam Study (n = 182) from the Netherlands, and the CARDS Trial (n = 254) from the UK were genotyped for rs11212617 and tested for an association with both HbA_1c reduction and treatment success, defined as the ability to reach the treatment target of an HbA_1c ≤7 % (53 mmol/mol). Finally, a meta-analysis including data from literature was performed. Results In the DCS cohort, we observed an association between rs11212617 genotype and treatment success on metformin (OR 1.27, 95% CI 1.03, 1.58, p = 0.028); in the smaller Rotterdam Study cohort, a numerically similar but non-significant trend was observed (OR 1.45, 95% CI 0.87, 2.39, p = 0.15); while in the CARDS cohort there was no significant association. In meta-analyses of these three cohorts separately or combined with the previously published cohorts, rs11212617 genotype is associated with metformin treatment success (OR 1.24, 95% CI 1.04, 1.49, p = 0.016 and OR 1.25, 95% CI 1.33, 1.38, p = 7.8 × 10⁻⁶, respectively). Conclusions/interpretation A gene variant near ATM is significantly associated with metformin treatment response in type 2 diabetic patients from the Netherlands and the UK. This is the first robustly replicated common susceptibility locus found to be associated with metformin treatment response.

Objectives CYP3A4 is involved in the oxidative metabolism of many drugs and xenobiotics including the HMG-CoA reductase inhibitor simvastatin. The objective of this study was to investigate whether a new CYP3A4 functional single nucleotide polymorphism (SNP) in intron 6 (CYP3A4*22) modifies the effect of simvastatin on total cholesterol (TOTc) or LDL cholesterol (LDLc) reduction in a population-based cohort study. Methods In a total of 80 incident simvastatin users, the association between the CYP3A4 intron 6 C>T SNP (rs35599367) and reduction in cholesterol levels was analyzed using linear regression analysis and adjusting for potential confounding factors. Results The CYP3A4*22 allele was associated with a trend towards a stronger simvastatin lipid-lowering response, as reflected by the greater reduction in both TOTc and LDLc levels when compared with homozygous wild type. We observed that the CYP3A4*22 allele carriers had an increased reduction in TOTc and LDLc: −0.25 mmol/l (95% confidence interval [CI_95%]=[−0.52; 0.01], P=0.058) and −0.29 mmol/l (CI_95%=[−0.58; 0.01], P=0.054) when compared with homozygous CC. When we adjusted the model for potential confounding factors, the corresponding reduction in TOTc was −0.31 mmol/l (CI_95%=[−0.59;−0.04], P=0.028) and for LDLc −0.34 mmol/l (CI_95%=[−0.66; −0.02], P=0.034) greater for CYP3A4*22 allele carriers when compared with homozygotes wild type. Conclusion The CYP3A4*22 intron 6 SNP T-variant allele was associated with reduced CYP3A4 activity, resulting in a better lipid lowering response to simvastatin, when data were adjusted for confounding factors. This observation is a step towards the clarification of the reasons of interindividual variability in statins response and may potentially lead to improved tailoring of simvastatin therapy.