Literature DB >> 24329113

Pharmacogenetic variation and metformin response.

Suning Chen, Jie Zhou, Miaomiao Xi, Yanyan Jia, Yan Wong, Jinyi Zhao, Likun Ding, Jian Zhang, Aidong Wen1.   

Abstract

Diabetes is a major health problem worldwide, and metformin, a traditional oral anti-hyperglycemic drug, is now believed to be the most widely prescribed antidiabetic drug. Metformin acts primarily by inhibiting hepatic glucose production and improving insulin sensitivity. Metformin is absorbed predominately by the small intestine and excreted in an unaltered form in the urine. The pharmacokinetics of metformin is primarily determined by membrane transporters, including the plasma membrane monoamine transporter (PMAT), the organic cation transporters (OCTs), the multidrug and toxin extrusion (MATE) transporters, and the critical protein kinase AMPactivated protein kinase (AMPK). PMAT may play a role in the uptake of metformin from the gastrointestinal tract, while OCTs mediate the intestinal absorption, hepatic uptake, and renal excretion of metformin. MATEs are believed to contribute to the hepatic and renal excretion of the drug. The pharmacologic effects of metformin are primarily exerted in the liver, at least partly via the activation of AMPK and the subsequent inhibition of gluconeogenesis. A considerable amount of pharmacogenetic research has demonstrated that genetic variation is one of the major factors affecting metformin response. Moreover, it has become increasingly clear that membrane transporters are important determinants of the pharmacokinetics of metformin. In this review, we will discuss the genetic variants of major transporters that purportedly determine the pharmacokinetics of metformin in terms of drug bioavailability, distribution, and excretion, such as PMAT, OCTs, and MATEs. Understanding how genetic variation affects metformin response will help promote more effective use of the drug for the treatment of type 2 diabetes (T2D).

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Year:  2013        PMID: 24329113     DOI: 10.2174/1389200214666131211153933

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  18 in total

1.  Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics.

Authors:  Matthew K Breitenstein; Gyorgy Simon; Euijung Ryu; Sebastian M Armasu; Richard M Weinshilboum; Liewei Wang; Jyotishman Pathak
Journal:  Stud Health Technol Inform       Date:  2015

2.  Limited sampling strategy for determining metformin area under the plasma concentration-time curve.

Authors:  Ana Beatriz Santoro; Tore Bjerregaard Stage; Claudio José Struchiner; Mette Marie Hougaard Christensen; Kim Brosen; Guilherme Suarez-Kurtz
Journal:  Br J Clin Pharmacol       Date:  2016-07-24       Impact factor: 4.335

Review 3.  A Comprehensive Review of Drug-Drug Interactions with Metformin.

Authors:  Tore Bjerregaard Stage; Kim Brøsen; Mette Marie Hougaard Christensen
Journal:  Clin Pharmacokinet       Date:  2015-08       Impact factor: 6.447

Review 4.  Metformin and metabolic diseases: a focus on hepatic aspects.

Authors:  Juan Zheng; Shih-Lung Woo; Xiang Hu; Rachel Botchlett; Lulu Chen; Yuqing Huo; Chaodong Wu
Journal:  Front Med       Date:  2015-02-12       Impact factor: 4.592

5.  An update of polycystic ovary syndrome: causes and therapeutics options.

Authors:  Abeer M Rababa'h; Bayan R Matani; Alaa Yehya
Journal:  Heliyon       Date:  2022-10-10

6.  Influence of SLC22A1 rs622342 genetic polymorphism on metformin response in South Indian type 2 diabetes mellitus patients.

Authors:  Gurusamy Umamaheswaran; Ramakrishnan Geethakumari Praveen; Solai Elango Damodaran; Ashok Kumar Das; Chandrasekaran Adithan
Journal:  Clin Exp Med       Date:  2014-12-10       Impact factor: 3.984

7.  A Protocol for the Study of Polymorphisms and Response to Metformin in Patients with Type 2 Diabetes in Trinidad.

Authors:  Yuri Clement; Shamjeet Singh; Shastri Motilal; Rohan Maharaj; Marcella Nunez-Smith
Journal:  Ethn Dis       Date:  2020-04-02       Impact factor: 1.847

Review 8.  Metformin: A Hopeful Promise in Aging Research.

Authors:  Marta G Novelle; Ahmed Ali; Carlos Diéguez; Michel Bernier; Rafael de Cabo
Journal:  Cold Spring Harb Perspect Med       Date:  2016-03-01       Impact factor: 6.915

9.  Mapping of biguanide transporters in human fat cells and their impact on lipolysis.

Authors:  Peter Arner; Agné Kulyté; Kenneth Batchelor; Jurga Laurencikiene; James Livingston; Mikael Rydén
Journal:  Diabetes Obes Metab       Date:  2018-07-05       Impact factor: 6.577

10.  A Two-Stage Study Identifies Two Novel Polymorphisms in PRKAG2 Affecting Metformin Response in Chinese Type 2 Diabetes Patients.

Authors:  Di Xiao; Jun-Yan Liu; Si-Min Zhang; Rang-Ru Liu; Ji-Ye Yin; Xue-Yao Han; Xi Li; Wei Zhang; Xiao-Ping Chen; Hong-Hao Zhou; Li-Nong Ji; Zhao-Qian Liu
Journal:  Pharmgenomics Pers Med       Date:  2021-06-23
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