Literature DB >> 19799532

Influence of genetic polymorphisms on the pharmacokinetics and pharmaco-dynamics of sulfonylurea drugs.

Hongmei Xu1, Michael Murray, Andrew John McLachlan.   

Abstract

Sulfonylurea drugs including chlorpropamide, gliclazide, tolbutamide, glipizide, glibenclamide (glyburide) and glimepiride are the most widely used oral hypoglycaemic agents in people with type 2 diabetes. This review investigates the impact of genetic polymorphisms on the pharmacokinetics and pharmacodynamics of sulfonylurea drugs. CYP2C9 is the major enzyme involved in sulfonylurea drug metabolism. CYP2C9 variant allele carriers have significant lower apparent clearance of these medicines. CYP2C19 genotype is more influential for gliclazide pharmacokinetics when compared to CYP2C9. Sulfonylurea pharmacodynamics is affected by several genes. Sulfonylurea receptor 1 (SUR1, ABCC8 gene) and K+ inward rectifier Kir6.2 (KCNJ11) have been correlated to significant variation in sulfonylurea response. Diabetics with the SUR1 exon 33 G allele are more sensitive to gliclazide and the rs5210 variant of the KCNJ11 gene was associated with improved clinical efficacy of gliclazide. Carriers of Transcription factor 7-like 2 (TCF7L2) variants are more likely to fail sulfonylurea therapy. On the other hand, patients with HNF-1alpha mutations had a significant greater response to gliclazide when compared to those with type 2 diabetes. The Arg972 polymorphism of insulin receptor substrate 1 (IRS1) may lead to secondary failure of sulfonylurea therapy. Calpain 10 gene (CAPN10) polymorphism has also been linked to sulfonylurea drug response. Despite the available evidence, larger population studies that investigate the pharmacokinetics and pharmacodynamics of sulfonylurea drugs are needed to investigate the influence of key SNPs amidst all potential contributing factors to variability in response to these which inturn will provide information to optimise sulfonylurea use in people with diabetes.

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Year:  2009        PMID: 19799532     DOI: 10.2174/138920009789375388

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


  12 in total

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2.  High heritability and genetic correlation of intravenous glucose- and tolbutamide-induced insulin secretion among non-diabetic family members of type 2 diabetic patients.

Authors:  Anette P Gjesing; Malene Hornbak; Kristine H Allin; Claus T Ekstrøm; Søren A Urhammer; Hans Eiberg; Oluf Pedersen; Torben Hansen
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3.  Therapeutic implications of novel mutations of the RFX6 gene associated with early-onset diabetes.

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Review 4.  Pharmacogenetic studies update in type 2 diabetes mellitus.

Authors:  Shalini Singh; Kauser Usman; Monisha Banerjee
Journal:  World J Diabetes       Date:  2016-08-10

5.  Polymorphisms of the KCNQ1 gene are associated with the therapeutic responses of sulfonylureas in Chinese patients with type 2 diabetes.

Authors:  Qing Li; Ting-Ting Tang; Feng Jiang; Rong Zhang; Miao Chen; Jun Yin; Yu-Qian Bao; Xiang Cheng; Cheng Hu; Wei-Ping Jia
Journal:  Acta Pharmacol Sin       Date:  2016-10-03       Impact factor: 6.150

6.  Pharmacogenetics of Anti-Diabetes Drugs.

Authors:  Johanna K Distefano; Richard M Watanabe
Journal:  Pharmaceuticals (Basel)       Date:  2010-08-01

Review 7.  Genetic markers predicting sulphonylurea treatment outcomes in type 2 diabetes patients: current evidence and challenges for clinical implementation.

Authors:  N K Loganadan; H Z Huri; S R Vethakkan; Z Hussein
Journal:  Pharmacogenomics J       Date:  2016-01-26       Impact factor: 3.550

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Review 9.  Pharmacogenetics in type 2 diabetes: influence on response to oral hypoglycemic agents.

Authors:  Adem Yesuf Dawed; Kaixin Zhou; Ewan Robert Pearson
Journal:  Pharmgenomics Pers Med       Date:  2016-04-06

Review 10.  KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus.

Authors:  Polin Haghvirdizadeh; Zahurin Mohamed; Nor Azizan Abdullah; Pantea Haghvirdizadeh; Monir Sadat Haerian; Batoul Sadat Haerian
Journal:  J Diabetes Res       Date:  2015-09-13       Impact factor: 4.011

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