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Usage Information

Effect of genetic variation in the organic cation transporter 1 (OCT1) on metformin action
Yan Shu, Steven A. Sheardown, Chaline Brown, Ryan P. Owen, Shuzhong Zhang, Richard A. Castro, Alexandra G. Ianculescu, Lin Yue, Joan C. Lo, Esteban G. Burchard, Claire M. Brett, Kathleen M. Giacomini
Yan Shu, Steven A. Sheardown, Chaline Brown, Ryan P. Owen, Shuzhong Zhang, Richard A. Castro, Alexandra G. Ianculescu, Lin Yue, Joan C. Lo, Esteban G. Burchard, Claire M. Brett, Kathleen M. Giacomini
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Research Article

Effect of genetic variation in the organic cation transporter 1 (OCT1) on metformin action

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Abstract

Metformin is among the most widely prescribed drugs for the treatment of type 2 diabetes. Organic cation transporter 1 (OCT1) plays a role in the hepatic uptake of metformin, but its role in the therapeutic effects of the drug, which involve activation of AMP-activated protein kinase (AMPK), is unknown. Recent studies have shown that human OCT1 is highly polymorphic. We investigated whether OCT1 plays a role in the action of metformin and whether individuals with OCT1 polymorphisms have reduced response to the drug. In mouse hepatocytes, deletion of Oct1 resulted in a reduction in the effects of metformin on AMPK phosphorylation and gluconeogenesis. In Oct1-deficient mice the glucose-lowering effects of metformin were completely abolished. Seven nonsynonymous polymorphisms of OCT1 that exhibited reduced uptake of metformin were identified. Notably, OCT1-420del (allele frequency of about 20% in white Americans), previously shown to have normal activity for model substrates, had reduced activity for metformin. In clinical studies, the effects of metformin in glucose tolerance tests were significantly lower in individuals carrying reduced function polymorphisms of OCT1. Collectively, the data indicate that OCT1 is important for metformin therapeutic action and that genetic variation in OCT1 may contribute to variation in response to the drug.

Authors

Yan Shu, Steven A. Sheardown, Chaline Brown, Ryan P. Owen, Shuzhong Zhang, Richard A. Castro, Alexandra G. Ianculescu, Lin Yue, Joan C. Lo, Esteban G. Burchard, Claire M. Brett, Kathleen M. Giacomini

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 2,395 610
PDF 324 115
Figure 1,190 2
Table 118 0
Supplemental data 141 10
Citation downloads 233 0
Totals 4,401 737
Total Views 5,138
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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