Pharmaceuticals (Oct 2024)

Exome Sequence Data of Eight SLC Transporters Reveal That <i>SLC22A1</i> and <i>SLC22A3</i> Variants Alter Metformin Pharmacokinetics and Glycemic Control

  • Monserrat I. Morales-Rivera,
  • Radamés Alemón-Medina,
  • Angélica Martínez-Hernández,
  • Cecilia Contreras-Cubas,
  • Nelly F. Altamirano-Bustamante,
  • Josefina Gómez-Garduño,
  • Elvia C. Mendoza-Caamal,
  • J. Orlando Nuñez-González,
  • Raquel García-Álvarez,
  • Cristina Revilla-Monsalve,
  • José Antonio Valcarcel-Gamiño,
  • José Rafael Villafan-Bernal,
  • Federico Centeno-Cruz,
  • Humberto García-Ortiz,
  • Francisco Barajas-Olmos,
  • Lorena Orozco

DOI
https://doi.org/10.3390/ph17101385
Journal volume & issue
Vol. 17, no. 10
p. 1385

Abstract

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Background: Type 2 diabetes (T2D) is one of the leading causes of mortality and is a public health challenge worldwide. Metformin is the first-choice treatment for T2D; its pharmacokinetics (PK) is facilitated by members of the solute carrier (SLC) superfamily of transporters, it is not metabolized, and it is excreted by the kidney. Although interindividual variability in metformin pharmacokinetics is documented in the Mexican population, its pharmacogenomics is still underexplored. We aimed to identify variants in metformin SLC transporter genes associated with metformin PK and response in Mexican patients. Methods: Using exome data from 2217 Mexican adults, we identified 86 biallelic SNVs in the eight known genes encoding SLC transporters, with a minor allele frequency ≥ 1%, which were analyzed in an inadequate glycemic control (IGC) association study in T2D metformin treated patients. Metformin PK was evaluated in a pediatric cohort and the effect of associated SNVs was correlated. Results: Functional annotation classified two SNVs as pathogenic. The association study revealed two blocks associated with IGC. These haplotypes comprise rs622591, rs4646272, rs4646273, and rs4646276 in SLC22A1; and rs1810126 and rs668871 in SLC22A3. PK profiles revealed that homozygotes of the SLC22A1 haplotype reached lower plasma metformin concentrations 2 h post administration than the other groups. Conclusions: Our findings highlight the potential of pharmacogenomics studies to enhance precision medicine, which may involve dosage adjustments or the exploration of alternative therapeutic options. These hold significant implications for public health, particularly in populations with a high susceptibility to develop metabolic diseases, such as Latin Americans.

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