Literature DB >> 27111121

Pharmacogenetics: Implications for Modern Type 2 Diabetes Therapy.

Harald Staiger1, Elke Schaeffeler1, Matthias Schwab1, Hans-Ulrich Häring1.   

Abstract

Many clinical treatment studies have reported remarkable interindividual variability in the response to pharmaceutical drugs, and uncovered the existence of inadequate treatment response, non-response, and even adverse drug reactions. Pharmacogenetics addresses the impact of genetic variants on treatment outcome including side-effects. In recent years, it has also entered the field of clinical diabetes research. In modern type 2 diabetes therapy, metformin is established as first-line drug. The latest pharmaceutical developments, including incretin mimetics, dipeptidyl peptidase 4 inhibitors (gliptins), and sodium/glucose cotransporter 2 inhibitors (gliflozins), are currently experiencing a marked increase in clinical use, while the prescriptions of α-glucosidase inhibitors, sulfonylureas, meglitinides (glinides), and thiazolidinediones (glitazones) are declining, predominantly because of reported side-effects. This review summarizes the current knowledge about gene-drug interactions observed in therapy studies with the above drugs. We report drug interactions with candidate genes involved in the pharmacokinetics (e.g., drug transporters) and pharmacodynamics (drug targets and downstream signaling steps) of the drugs, with known type 2 diabetes risk genes and previously unknown genes derived from hypothesis-free approaches such as genome-wide association studies. Moreover, some new and promising candidate genes for future pharmacogenetic assessment are highlighted. Finally, we critically appraise the current state of type 2 diabetes pharmacogenetics in the light of its impact on therapeutic decisions, and we refer to major problems, and make suggestions for future efforts in this field to help improve the clinical relevance of the results, and to establish genetically determined treatment failure.

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Year:  2016        PMID: 27111121      PMCID: PMC5275760          DOI: 10.1900/RDS.2015.12.363

Source DB:  PubMed          Journal:  Rev Diabet Stud        ISSN: 1613-6071


  85 in total

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Review 2.  Metformin--mode of action and clinical implications for diabetes and cancer.

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Review 3.  Comparative clinical pharmacokinetics of dipeptidyl peptidase-4 inhibitors.

Authors:  Larry K Golightly; Caitlin C Drayna; Michael T McDermott
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Review 4.  Stratified medicine for the use of antidiabetic medication in treatment of type II diabetes and cancer: where do we go from here?

Authors:  A Emami-Riedmaier; E Schaeffeler; A T Nies; K Mörike; M Schwab
Journal:  J Intern Med       Date:  2015-02       Impact factor: 8.989

5.  Association of Organic Cation Transporter 1 With Intolerance to Metformin in Type 2 Diabetes: A GoDARTS Study.

Authors:  Tanja Dujic; Kaixin Zhou; Louise A Donnelly; Roger Tavendale; Colin N A Palmer; Ewan R Pearson
Journal:  Diabetes       Date:  2014-12-15       Impact factor: 9.461

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7.  Transcriptional regulation of murine Slc22a1 (Oct1) by peroxisome proliferator agonist receptor-alpha and -gamma.

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8.  Genetic variants of the organic cation transporter 2 influence the disposition of metformin.

Authors:  I S Song; H J Shin; E J Shim; I S Jung; W Y Kim; J H Shon; J G Shin
Journal:  Clin Pharmacol Ther       Date:  2008-04-09       Impact factor: 6.875

9.  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

10.  Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

Authors:  Kelly E Caudle; Teri E Klein; James M Hoffman; Daniel J Muller; Michelle Whirl-Carrillo; Li Gong; Ellen M McDonagh; Katrin Sangkuhl; Caroline F Thorn; Matthias Schwab; Jose A G Agundez; Robert R Freimuth; Vojtech Huser; Ming Ta Michael Lee; Otito F Iwuchukwu; Kristine R Crews; Stuart A Scott; Mia Wadelius; Jesse J Swen; Rachel F Tyndale; C Michael Stein; Dan Roden; Mary V Relling; Marc S Williams; Samuel G Johnson
Journal:  Curr Drug Metab       Date:  2014-02       Impact factor: 3.731

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Authors:  Saeed Ebrahimi Fana; Fataneh Esmaeili; Shahnaz Esmaeili; Fatemeh Bandaryan; Ensieh Nasli Esfahani; Mahsa Mohammad Amoli; Farideh Razi
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2.  A haplotype in the dipeptidyl peptidase 4 gene impacts glycemic-related traits of Brazilian older adults.

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3.  Pharmacodynamics of Glyburide, Metformin, and Glyburide/Metformin Combination Therapy in the Treatment of Gestational Diabetes Mellitus.

Authors:  Diana L Shuster; Laura M Shireman; Xiaosu Ma; Danny D Shen; Shannon K Flood Nichols; Mahmoud S Ahmed; Shannon Clark; Steve Caritis; Raman Venkataramanan; David M Haas; Sara K Quinney; Laura S Haneline; Alan T Tita; Tracy A Manuck; Kenneth E Thummel; Linda Morris Brown; Zhaoxia Ren; Zane Brown; Thomas R Easterling; Mary F Hebert
Journal:  Clin Pharmacol Ther       Date:  2020-01-25       Impact factor: 6.875

4.  Alleviating effects of lupeol on postprandial hyperglycemia in diabetic mice.

Authors:  Hyun-Ah Lee; Min-Jung Kim; Ji-Sook Han
Journal:  Toxicol Res (Camb)       Date:  2021-05-08       Impact factor: 3.524

  4 in total

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