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Lack of effect of the SLC47A1 and SLC47A2 gene polymorphisms on the glycemic response to metformin in type 2 diabetes mellitus patients

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Published/Copyright: November 15, 2018

Abstract

Background

This work aimed to evaluate the influence of single nucleotide polymorphisms (SNPs) in the SLC47A1 (922-158G>A; rs2289669) and SLC47A2 (−130G>A; rs12943590) genes on the relative change in HbA1c in type 2 diabetes mellitus (T2DM) patients of South India who are taking metformin as monotherapy. It also aims to study the effects of these SNPs on the dose requirement of metformin for glycemic control and the adverse effects of metformin.

Methods

Diabetes patients on metformin monotherapy were recruited based on the eligibility criteria (n=105). DNA was extracted and genotyping was performed with a real-time PCR system using TaqMan® SNP genotyping assay method. The HbA1c levels were measured using Bio-Rad D-10™ Hemoglobin Analyzer.

Results

After adjusting for multiple comparisons (Bonferroni correction) the difference found in the glycemic response between the “GG” genotype and “AG/AA” genotype groups of the SLC47A2 gene was not significant (p=0.027; which was greater than the critical value of 0.025). Patients with “GG” genotype showed a 5.5% decrease in HbA1c from baseline compared to those with the “AG/AA” genotype (0.1% increase). The SNP in the SLC47A1 gene also did not influence the glycemic response to metformin (p=0.079). The median dose requirements based on the genotypes of the rs12943590 variant (p=0.357) or rs2289669 variant (p=0.580) were not significantly different. Similarly, there was no significant difference in the occurrence of adverse effects across the genotypes in both the SLC47A1 (p=0.615) and SLC47A2 (p=0.309) genes.

Conclusions

The clinical response to metformin was not associated with the SNPs in the SLC47A1 and SLC47A2 genes coding for the multidrug and toxin extrusion protein (MATE) transporters. Furthermore, the studied SNPs had no influence on the dose requirement or adverse effects of metformin.


Corresponding author: Dr. Gerard Marshall Raj, Department of Pharmacology, Sri Venkateshwaraa Medical College Hospital and Research Centre (SVMCH & RC), Pondy-Villupuram Main Road, Ariyur, Puducherry 605102, India, Phone: +91-9245124616, +91-413-2255168

Acknowledgments

We wish to thank Dr. Saranya Vilvanathan, Dr. Neel Shah, Dr. Radhika, Dr. Stanley, Dr. Jose Francis and Dr. Abialbon Paul (Department of Pharmacology, JIPMER, Puducherry, India) for giving us valuable suggestions while designing the study. We would like to express our sincere gratitude to Dr. Srinivas Rao, Dr. Sunitha, Dr. Neel Shah, Dr. C. Indumathi, Mr. Rajan, Ms. Tamijarassy and Ms. Immaculate (Department of Pharmacology, JIPMER, Puducherry, India) for guiding us in the laboratory works. We are also grateful to Ms. Abitha Begam Saleem and Ms. Sujatha Rajish (Department of General Medicine, JIPMER, Puducherry, India) who processed the samples for HbA1c estimation.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: We are greatly indebted to the JIPMER, Puducherry, India for having supported the study through the intramural research grants (JIP/Res/Intra-MD/MS/01/2014; JIP/Res/Intra-MD, MS/sec/05/2014).

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/dmpt-2018-0030).


Received: 2018-09-25
Accepted: 2018-10-26
Published Online: 2018-11-15
Published in Print: 2018-12-19

©2018 Walter de Gruyter GmbH, Berlin/Boston

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