Literature DB >> 19323963

Pharmacogenetics in diabetes.

Ewan R Pearson1.   

Abstract

Genetic variation can impact on efficacy and risk of adverse events to commonly used oral agents in -diabetes. Metformin is not metabolized and its mechanism of action remains debated; however, several cation transporters have been identified. Variation in these pharmacokinetic genes might influence metformin response. Conversely, although the cytochrome P450 system has been implicated in sulfonylurea response in some small studies, to date variants affecting pharmacodynamics, including those in ABCC8 (SUR1) and TCF7L2, are the most promising. For thiazolidinedione response, variants in PPARG or ADIPOQ (adiponectin) have been variably associated with response. With increasing well-phenotyped cohorts and new methods, including genome-wide association studies, the next few years offer great hope to use pharmacogenetics to unravel drug and disease mechanisms, as well as the possibility to individualize therapy by genotype.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19323963     DOI: 10.1007/s11892-009-0028-3

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  58 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.  Association studies of variants in promoter and coding regions of beta-cell ATP-sensitive K-channel genes SUR1 and Kir6.2 with Type 2 diabetes mellitus (UKPDS 53).

Authors:  A L Gloyn; Y Hashim; S J Ashcroft; R Ashfield; S Wiltshire; R C Turner
Journal:  Diabet Med       Date:  2001-03       Impact factor: 4.359

3.  Haplotype structures and large-scale association testing of the 5' AMP-activated protein kinase genes PRKAA2, PRKAB1, and PRKAB2 [corrected] with type 2 diabetes.

Authors:  Maria W Sun; Jennifer Y Lee; Paul I W de Bakker; Noël P Burtt; Peter Almgren; Lennart Råstam; Tiinamaija Tuomi; Daniel Gaudet; Mark J Daly; Joel N Hirschhorn; David Altshuler; Leif Groop; Jose C Florez
Journal:  Diabetes       Date:  2006-03       Impact factor: 9.461

4.  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

5.  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

6.  Single nucleotide polymorphisms in genes encoding LKB1 (STK11), TORC2 (CRTC2) and AMPK alpha2-subunit (PRKAA2) and risk of type 2 diabetes.

Authors:  Parvaneh Keshavarz; Hiroshi Inoue; Naoto Nakamura; Toshikazu Yoshikawa; Toshihito Tanahashi; Mitsuo Itakura
Journal:  Mol Genet Metab       Date:  2007-10-18       Impact factor: 4.797

7.  Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes.

Authors:  Anna L Gloyn; Ewan R Pearson; Jennifer F Antcliff; Peter Proks; G Jan Bruining; Annabelle S Slingerland; Neville Howard; Shubha Srinivasan; José M C L Silva; Janne Molnes; Emma L Edghill; Timothy M Frayling; I Karen Temple; Deborah Mackay; Julian P H Shield; Zdenek Sumnik; Adrian van Rhijn; Jerry K H Wales; Penelope Clark; Shaun Gorman; Javier Aisenberg; Sian Ellard; Pål R Njølstad; Frances M Ashcroft; Andrew T Hattersley
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

8.  Involvement of organic cation transporter 1 in hepatic and intestinal distribution of metformin.

Authors:  De-Sheng Wang; Johan W Jonker; Yukio Kato; Hiroyuki Kusuhara; Alfred H Schinkel; Yuichi Sugiyama
Journal:  J Pharmacol Exp Ther       Date:  2002-08       Impact factor: 4.030

9.  A functional variant in the peroxisome proliferator-activated receptor gamma2 promoter is associated with predictors of obesity and type 2 diabetes in Pima Indians.

Authors:  Yunhua Li Muller; Clifton Bogardus; Brock A Beamer; Alan R Shuldiner; Leslie J Baier
Journal:  Diabetes       Date:  2003-07       Impact factor: 9.461

10.  Ser1369Ala variant in sulfonylurea receptor gene ABCC8 is associated with antidiabetic efficacy of gliclazide in Chinese type 2 diabetic patients.

Authors:  Yan Feng; Guangyun Mao; Xiaowei Ren; Houxun Xing; Genfu Tang; Qiang Li; Xueqi Li; Lirong Sun; Jinqui Yang; Weiqing Ma; Xiaobin Wang; Xiping Xu
Journal:  Diabetes Care       Date:  2008-07-03       Impact factor: 17.152

View more
  10 in total

Review 1.  Type 2 diabetes and obesity: genomics and the clinic.

Authors:  Mary E Travers; Mark I McCarthy
Journal:  Hum Genet       Date:  2011-06-07       Impact factor: 4.132

Review 2.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

3.  Analysis of CYP2C9*2, CYP2C19*2, and CYP2D6*4 polymorphisms in patients with type 2 diabetes mellitus.

Authors:  Sabina Semiz; Tanja Dujic; Barbara Ostanek; Besim Prnjavorac; Tamer Bego; Maja Malenica; Janja Marc; Adlija Causevic
Journal:  Bosn J Basic Med Sci       Date:  2010-11       Impact factor: 3.363

Review 4.  Is genetic testing useful to predict type 2 diabetes?

Authors:  Jason L Vassy; James B Meigs
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2012-04       Impact factor: 4.690

5.  Common variants in 40 genes assessed for diabetes incidence and response to metformin and lifestyle intervention in the diabetes prevention program.

Authors:  Kathleen A Jablonski; Jarred B McAteer; Paul I W de Bakker; Paul W Franks; Toni I Pollin; Robert L Hanson; Richa Saxena; Sarah Fowler; Alan R Shuldiner; William C Knowler; David Altshuler; Jose C Florez
Journal:  Diabetes       Date:  2010-08-03       Impact factor: 9.461

6.  Genotypic and Phenotypic Factors Influencing Drug Response in Mexican Patients With Type 2 Diabetes Mellitus.

Authors:  Hector E Sanchez-Ibarra; Luisa M Reyes-Cortes; Xian-Li Jiang; Claudia M Luna-Aguirre; Dionicio Aguirre-Trevino; Ivan A Morales-Alvarado; Rafael B Leon-Cachon; Fernando Lavalle-Gonzalez; Faruck Morcos; Hugo A Barrera-Saldaña
Journal:  Front Pharmacol       Date:  2018-04-06       Impact factor: 5.810

Review 7.  Precision medicine in diabetes prevention, classification and management.

Authors:  Fangying Xie; Juliana Cn Chan; Ronald Cw Ma
Journal:  J Diabetes Investig       Date:  2018-04-25       Impact factor: 4.232

Review 8.  Chronic Inflammatory Status Observed in Patients with Type 2 Diabetes Induces Modulation of Cytochrome P450 Expression and Activity.

Authors:  Lucy Darakjian; Malavika Deodhar; Jacques Turgeon; Veronique Michaud
Journal:  Int J Mol Sci       Date:  2021-05-07       Impact factor: 5.923

Review 9.  Gene-environment and gene-treatment interactions in type 2 diabetes: progress, pitfalls, and prospects.

Authors:  Paul W Franks; Ewan Pearson; Jose C Florez
Journal:  Diabetes Care       Date:  2013-05       Impact factor: 19.112

Review 10.  The pharmacogenetics of type 2 diabetes: a systematic review.

Authors:  Nisa M Maruthur; Matthew O Gribble; Wendy L Bennett; Shari Bolen; Lisa M Wilson; Poojitha Balakrishnan; Anita Sahu; Eric Bass; W H Linda Kao; Jeanne M Clark
Journal:  Diabetes Care       Date:  2014       Impact factor: 19.112

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.