Association between Polymorphisms of OCT1 and Metabolic Response to Metformin in Women with Polycystic Ovary Syndrome
Insulin-sensitizer treatment with metformin is widely used in polycystic ovary syndrome (PCOS). However, the treatment effectiveness shows individual differences in PCOS patients. Organic cation transporter (OCT) 1 and 2 have been reported to mediate metformin transport in the liver and kidney, resp...
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Published in | International journal of molecular sciences Vol. 20; no. 7; p. 1720 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
07.04.2019
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | Insulin-sensitizer treatment with metformin is widely used in polycystic ovary syndrome (PCOS). However, the treatment effectiveness shows individual differences in PCOS patients. Organic cation transporter (OCT) 1 and 2 have been reported to mediate metformin transport in the liver and kidney, respectively. In this study, we investigated the association between the polymorphisms of
and
and the treatment effectiveness of metformin in PCOS patients. The single nucleotide polymorphisms (SNPs) of
(rs683369 and rs628031) and
(rs316019) were analyzed in 87 PCOS and 113 control women. Oral glucose tolerance tests (OGTTs), which represented metformin treatment response, were conducted at the start of treatment and after six-month treatment. The results demonstrated that the SNP frequencies of
and
were not associated with PCOS pathophysiology, and that the polymorphisms of
and
were not associated with the OGTT parameters at baseline. However, PCOS patients with the G allele of
rs683369 and/or with the A allele of
rs628031 had increased insulin sensitivity compared to those with wild-type genotype after receiving metformin treatment. Moreover, the interactions of metformin*SNP were significant in both
rs683369 (
< 0.001) and rs628031 (
= 0.001) during the treatment period. Taken together, genetic polymorphisms of
contributed to different metformin treatment responses, and further study is needed to establish personalized treatment programs using a pharmacogenomic algorithm approach in PCOS patients. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1422-0067 1661-6596 1422-0067 |
DOI: | 10.3390/ijms20071720 |