Drug Transporters. Группа авторов

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of the endogenous biomarkers NMN and N1‐methyladenosine for MATE drug interaction assessments in healthy volunteers.

      The impact of genetic variation in SLC47A1 and SLC47A2 can impact both pharmacokinetics and pharmacodynamics.

      3.7.1 Metformin Pharmacokinetics

Transporter dbSNPa Base changeb Amino acid change
SLC47A1/ MATE1 rs72466470 −32 G > A N.A.
rs2252281 −66 T > C N.A.
rs111060521 28 G > T V10L
rs77630697 191 G > A G64D
rs77474263 373 C > T L125F
rs35646404 404 T > C T159M
rs2289669 816 G > A
rs111060526 929 C > T A310V
rs111060527 983 A > C D328A
rs35790011 1,012 G > A V338I
rs111060528 1,421 A > G N474S
rs76645859 1,438 G > A V480M
rs35395280 1,490 G > C or G > T C497S
rs78700676 1,557 G > C Q519H
SLC47A2/ MATE2‐K rs12943590 −130 G > A N.A.
rs111060529 192 G > T K64N
rs111060532 632–633 GC > TT G211V

      a All information from dbSNP or references (112, 134, 135).

      b Relative to the coding DNA sequence position.

      N.A.: not applicable.

      MATE function can be impacted by the combined effect of a MATE inhibitor and loss‐of‐function variants. The influence of multiple polymorphisms on metformin clearance was found to be dependent on the combinations evaluated when the MATE inhibitor trimethoprim was administered [107]. In a study conducted in healthy volunteers (n = 24) administered metformin and trimethoprim, metformin total clearance and renal clearance were reduced and half‐life increased in the presence versus absence of trimethoprim. The Cmax and exposures were also increased. The study reported a reduction in the clearance of the endogenous biomarker creatinine with trimethoprim administration. When the study was analyzed according to SLC22A2 (rs316019) and SLC47A1 (rs2289669) genotype groups (in combination), individuals with the polymorphic genotypes for both transporters failed to have demonstrated differences in metformin pharmacokinetics in the presence or absence of trimethoprim. However, the presence of either polymorphic SLC47A1 with wild‐type SLC22A2 or wild‐type SLC47A1 with polymorphic SLC22A2 exhibited increased metformin Cmax and exposures in the presence of trimethoprim. Hence, the combination of transporter genetics may result in observed differences with potent MATE inhibitors.

      3.7.2 Metformin Efficacy

       3.7.2.1 Diabetes

      The first large study to report an association between SLC47A1 polymorphisms and changes in glucose control, as noted by hemoglobin A1c, in diabetics treated with metformin was informed from the European Rotterdam Study (n = 116) [108]. The rs2289669 G > A polymorphism was significantly associated with metformin response. For each minor A allele, hemoglobin A1c reduction was 0.3% greater. Subsequently, relationships between OCT1 (SLC22A1; rs622342 A > C) and SLC47A1 (rs2289669; G > A) polymorphisms and effects on glucose lowering were investigated by the Rotterdam investigators [109]. The study used multiplicative interaction analyses to evaluate changes in HbA1c in patients newly prescribed metformin (n = 98). The decrease in hemoglobin A1c levels was greatest for each SLC22A1 A allele (wild type) and SLC47A1 A allele (variant). This study demonstrated the interaction between polymorphisms in two transporter genes in determining efficacy of treatment with metformin. Despite these findings associating glycemic control with polymorphisms in MATE and OCT2 transport genes in patients undergoing therapy with metformin, a large meta‐analysis in Europeans failed to detect these associations in 7,968 subjects in the Metformin Genetics Consortium (MetGen) [110].

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