Literature DB >> 31709648

The presence of two reduced function variants in CYP2C9 influences the acute response to glipizide.

L Chen1,2,3, J H Li1,2,3,4, V Kaur1,2,3, A Muhammad1,2,3, M Fernandez1,2,3, M S Hudson5,4, A B Goldfine4,6, J C Florez1,2,3,4.   

Abstract

AIMS: To examine whether the presence of two common missense variants in the CYP2C9 gene (rs1799853, encoding Arg144Cys and denoted as *2, and rs1057910, encoding Ile359Leu and denoted as *3) influences the acute physiological response to a single glipizide dose in individuals naïve to diabetes medications.
METHODS: In the Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans (SUGAR-MGH), 786 individuals genotyped for rs1799853/rs41291560 (*2) and rs1057910/rs9332214 (*3) were treated with 5 mg glipizide in the fasting state. Glucose and insulin levels were measured at baseline, 30, 60, 90, 120, 180 and 240 min for calculation of phenotypic endpoints of glipizide response. The challenge was aborted as a result of hypoglycaemia, defined as glucose <2.8 mmol/l or hypoglycaemia-related symptoms.
RESULTS: Carriers with two reduced function alleles had a 50% larger insulin area under the curve than carriers with zero or one copy (P=0.037), although this finding was primarily driven by an individual with a robust insulin response. In adjusted analyses, the risk of aborting the glipizide challenge was doubled in two-copy carriers (P=0.034). No significant findings were observed in glucose-based endpoints.
CONCLUSIONS: Carriers of two reduced function alleles in CYP2C9 may experience an increased insulin response to glipizide and be predisposed to a higher risk of hypoglycaemia, although no effect of genotype was seen in glucose-based measurements. Further studies are needed to clarify the utility of CYP2C9 genotyping to guide sulfonylurea treatment.
© 2019 Diabetes UK.

Entities:  

Year:  2019        PMID: 31709648      PMCID: PMC7211120          DOI: 10.1111/dme.14176

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  22 in total

1.  Effect of CYP2C9 genetic polymorphisms on the efficacy and pharmacokinetics of glimepiride in subjects with type 2 diabetes.

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Journal:  Diabetes Res Clin Pract       Date:  2005-12-01       Impact factor: 5.602

2.  In vitro assessment of 36 CYP2C9 allelic isoforms found in the Chinese population on the metabolism of glimepiride.

Authors:  Da-Peng Dai; Shuang-Hu Wang; Pei-Wu Geng; Guo-Xin Hu; Jian-Ping Cai
Journal:  Basic Clin Pharmacol Toxicol       Date:  2013-11-08       Impact factor: 4.080

3.  CYP2C9*3 gene variant contributes independently to glycaemic control in patients with type 2 diabetes treated with glibenclamide.

Authors:  O D Castelán-Martínez; C Hoyo-Vadillo; T B Bazán-Soto; M Cruz; E Tesoro-Cruz; A Valladares-Salgado
Journal:  J Clin Pharm Ther       Date:  2018-05-26       Impact factor: 2.512

4.  Impact of clinical factors and CYP2C9 variants for the risk of severe sulfonylurea-induced hypoglycemia.

Authors:  Andreas Holstein; Michael Hahn; Olaf Patzer; Angela Seeringer; Peter Kovacs; Julia Stingl
Journal:  Eur J Clin Pharmacol       Date:  2011-01-07       Impact factor: 2.953

Review 5.  Cytochrome P450 2C9 polymorphisms: a comprehensive review of the in-vitro and human data.

Authors:  Craig R Lee; Joyce A Goldstein; John A Pieper
Journal:  Pharmacogenetics       Date:  2002-04

6.  CYP2C9*2 allele increases risk for hypoglycemia in POR*1/*1 type 2 diabetic patients treated with sulfonylureas.

Authors:  G Ragia; A Tavridou; L Elens; R H N Van Schaik; V G Manolopoulos
Journal:  Exp Clin Endocrinol Diabetes       Date:  2014-01-24       Impact factor: 2.949

7.  Cytochrome P450 2C9 *2 and *3 polymorphisms and the dose and effect of sulfonylurea in type II diabetes mellitus.

Authors:  M L Becker; L E Visser; P H Trienekens; A Hofman; R H N van Schaik; B H Ch Stricker
Journal:  Clin Pharmacol Ther       Date:  2007-06-27       Impact factor: 6.875

8.  Functional characterization of 32 CYP2C9 allelic variants.

Authors:  Y Niinuma; T Saito; M Takahashi; C Tsukada; Mi Ito; N Hirasawa; M Hiratsuka
Journal:  Pharmacogenomics J       Date:  2013-06-11       Impact factor: 3.550

9.  Interaction between variants in the CYP2C9 and POR genes and the risk of sulfonylurea-induced hypoglycaemia: A GoDARTS Study.

Authors:  Tanja Dujic; Kaixin Zhou; Louise A Donnelly; Graham Leese; Colin N A Palmer; Ewan R Pearson
Journal:  Diabetes Obes Metab       Date:  2017-08-25       Impact factor: 6.577

10.  CYP2C93 variant is associated with antidiabetes efficacy of gliclazide in Chinese type 2 diabetes patients.

Authors:  Wotan Zeng; Yali Guo; Peixian Chen; Zhike Liu; Dafang Chen; Chunji Han
Journal:  J Diabetes Investig       Date:  2016-03-08       Impact factor: 4.232

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Journal:  Drugs       Date:  2022-09-19       Impact factor: 11.431

2.  A pharmacogenetic pilot study of CYP2C9 common genetic variant and sulfonylureas therapeutic response in type 2 diabetes mellitus patients.

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3.  Effects of CYP2C9*3 and *13 alleles on the pharmacokinetics and pharmacodynamics of glipizide in healthy Korean subjects.

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4.  Genome-Wide Meta-analysis Identifies Genetic Variants Associated With Glycemic Response to Sulfonylureas.

Authors:  Adem Y Dawed; Sook Wah Yee; Kaixin Zhou; Nienke van Leeuwen; Yanfei Zhang; Moneeza K Siddiqui; Amy Etheridge; Federico Innocenti; Fei Xu; Josephine H Li; Joline W Beulens; Amber A van der Heijden; Roderick C Slieker; Yu-Chuan Chang; Josep M Mercader; Varinderpal Kaur; John S Witte; Ming Ta Michael Lee; Yoichiro Kamatani; Yukihide Momozawa; Michiaki Kubo; Colin N A Palmer; Jose C Florez; Monique M Hedderson; Leen M 't Hart; Kathleen M Giacomini; Ewan R Pearson
Journal:  Diabetes Care       Date:  2021-10-04       Impact factor: 17.152

5.  A Polygenic Score for Type 2 Diabetes Risk Is Associated With Both the Acute and Sustained Response to Sulfonylureas.

Authors:  Josephine H Li; Lukasz Szczerbinski; Adem Y Dawed; Varinderpal Kaur; Jennifer N Todd; Ewan R Pearson; Jose C Florez
Journal:  Diabetes       Date:  2020-10-26       Impact factor: 9.461

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