Literature DB >> 17963417

Pharmacogenetics of glucose-lowering drug treatment: a systematic review.

Ozlem Bozkurt1, Anthonius de Boer, Diederick E Grobbee, Eibert R Heerdink, Huib Burger, Olaf H Klungel.   

Abstract

Intensive blood glucose lowering can significantly reduce the risk of micro- and macrovascular complications in patients with diabetes mellitus. However, 30% of all treated patients do not achieve optimal blood glucose levels. Genetic factors may influence the response to glucose-lowering medication. A search of MEDLINE-indexed literature published between January 1966 and July 2007 revealed 37 studies reporting data on genetic polymorphisms and response to glucose-lowering drugs. Most studies involving cytochrome P450 (CYP) genes had small sample sizes (21 studies <50 subjects) and were among healthy volunteers. Multiple studies indicated that the CYP2C9 *3 allele (Ile359Leu polymorphism) was associated with decreased clearance of sulfonylurea drugs. Supporting this, one study reported an increased insulin secretion in CYP2C9*3 allele carriers when using the sulfonylurea agent glyburide. The CYP2C9*3 allele was also associated with a decreased clearance of meglitinides, whereas the CYP2C8*3 (Arg139Lys; Lys399Arg) variant increased the clearance of meglitinides. Polymorphisms in genes encoding the inwardly rectifying potassium channel Kir6.2 (KCNJ11) and the insulin receptor substrate-1 (IRS1) were reported to be associated with an increased risk of (secondary) failure to respond to sulfonylurea therapy. A significant decrease in fasting plasma glucose and hemoglobin A(1c) (HbA(1c)) in response to rosiglitazone was seen in subjects carrying the Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma (PPARG) gene. Conversely, carriers of this polymorphism also had a higher conversion to diabetes mellitus when treated with acarbose; this effect was also seen in adiponectin (ADIPOQ) gene polymorphism carriers. Future studies with adequate sample sizes in which several SNPs in multiple candidate genes are genotyped in patients with diabetes should provide reliable information on genetic variants and response to glucose-lowering drugs.

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Year:  2007        PMID: 17963417     DOI: 10.1007/BF03256250

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  92 in total

1.  Association between CYP2C9 slow metabolizer genotypes and severe hypoglycaemia on medication with sulphonylurea hypoglycaemic agents.

Authors:  A Holstein; A Plaschke; M Ptak; E-H Egberts; J El-Din; J Brockmöller; J Kirchheiner
Journal:  Br J Clin Pharmacol       Date:  2005-07       Impact factor: 4.335

2.  Effect of SLCO1B1 genetic polymorphism on the pharmacokinetics of nateglinide.

Authors:  Wei Zhang; Yi-Jing He; Chun-Ting Han; Zhao-Qian Liu; Qing Li; Lan Fan; Zhi-Rong Tan; Wei-Xia Zhang; Bang-Ning Yu; Dan Wang; Dong-Li Hu; Hong-Hao Zhou
Journal:  Br J Clin Pharmacol       Date:  2006-06-23       Impact factor: 4.335

3.  Type 2 diabetes-associated missense polymorphisms KCNJ11 E23K and ABCC8 A1369S influence progression to diabetes and response to interventions in the Diabetes Prevention Program.

Authors:  Jose C Florez; Kathleen A Jablonski; Steven E Kahn; Paul W Franks; Dana Dabelea; Richard F Hamman; William C Knowler; David M Nathan; David Altshuler
Journal:  Diabetes       Date:  2007-02       Impact factor: 9.461

4.  Improved motor development and good long-term glycaemic control with sulfonylurea treatment in a patient with the syndrome of intermediate developmental delay, early-onset generalised epilepsy and neonatal diabetes associated with the V59M mutation in the KCNJ11 gene.

Authors:  A S Slingerland; R Nuboer; M Hadders-Algra; A T Hattersley; G J Bruining
Journal:  Diabetologia       Date:  2006-09-19       Impact factor: 10.122

5.  The common polymorphisms (single nucleotide polymorphism [SNP] +45 and SNP +276) of the adiponectin gene predict the conversion from impaired glucose tolerance to type 2 diabetes: the STOP-NIDDM trial.

Authors:  Jelena Zacharova; Jean-Louis Chiasson; Markku Laakso
Journal:  Diabetes       Date:  2005-03       Impact factor: 9.461

6.  The E23K variant of KCNJ11 encoding the pancreatic beta-cell adenosine 5'-triphosphate-sensitive potassium channel subunit Kir6.2 is associated with an increased risk of secondary failure to sulfonylurea in patients with type 2 diabetes.

Authors:  Giorgio Sesti; Emanuela Laratta; Marina Cardellini; Francesco Andreozzi; Silvia Del Guerra; Concetta Irace; Agostino Gnasso; Maria Grupillo; Renato Lauro; Marta Letizia Hribal; Francesco Perticone; Piero Marchetti
Journal:  J Clin Endocrinol Metab       Date:  2006-04-04       Impact factor: 5.958

7.  Genetic polymorphism of cytochrome P450 2C9 in a Caucasian and a black African population.

Authors:  M G Scordo; E Aklillu; U Yasar; M L Dahl; E Spina; M Ingelman-Sundberg
Journal:  Br J Clin Pharmacol       Date:  2001-10       Impact factor: 4.335

8.  Association of G-protein beta-3 subunit gene (GNB3) T825 allele with Type II diabetes.

Authors:  Jawad G Kiani; Mohammad Saeed; S Hassan Parvez; Philippe M Frossard
Journal:  Neuro Endocrinol Lett       Date:  2005-04       Impact factor: 0.765

9.  The influence of adiponectin gene polymorphism on the rosiglitazone response in patients with type 2 diabetes.

Authors:  Eun Seok Kang; So Young Park; Hyeong Jin Kim; Chul Woo Ahn; Moonsuk Nam; Bong Soo Cha; Sung Kil Lim; Kyung Rae Kim; Hyun Chul Lee
Journal:  Diabetes Care       Date:  2005-05       Impact factor: 19.112

10.  No significant effect of SLCO1B1 polymorphism on the pharmacokinetics of rosiglitazone and pioglitazone.

Authors:  Annikka Kalliokoski; Mikko Neuvonen; Pertti J Neuvonen; Mikko Niemi
Journal:  Br J Clin Pharmacol       Date:  2007-07-17       Impact factor: 4.335

View more
  7 in total

Review 1.  The role of pharmacogenetics in drug disposition and response of oral glucose-lowering drugs.

Authors:  N van Leeuwen; J J Swen; H-J Guchelaar; L M 't Hart
Journal:  Clin Pharmacokinet       Date:  2013-10       Impact factor: 6.447

2.  Personalized medicine for diabetes.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2008-05

Review 3.  Pharmacogenetic studies update in type 2 diabetes mellitus.

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

4.  Pharmacogenetics of Anti-Diabetes Drugs.

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

Review 5.  Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes.

Authors:  Katherine A Johansen Taber; Barry D Dickinson
Journal:  Appl Clin Genet       Date:  2015-01-07

6.  Introduction to personalized medicine in diabetes mellitus.

Authors:  Harry S Glauber; Naphtali Rishe; Eddy Karnieli
Journal:  Rambam Maimonides Med J       Date:  2014-01-21

Review 7.  Pharmacogenetics and personalized treatment of type 2 diabetes.

Authors:  Sabina Semiz; Tanja Dujic; Adlija Causevic
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

  7 in total

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