Literature DB >> 23018631

Individualized therapy for type 2 diabetes: clinical implications of pharmacogenetic data.

Gaia Chiara Mannino1, Giorgio Sesti.   

Abstract

Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance, abnormally elevated hepatic glucose production, and reduced glucose-stimulated insulin secretion. Treatment with antihyperglycemic agents is initially successful in type 2 diabetes, but it is often associated with a high secondary failure rate, and the addition of insulin is eventually necessary for many patients, in order to restore acceptable glycemic control and to reduce the risk of development and progression of disease complications. Notably, even patients who appear to have similar requirements of antidiabetic regimens show great variability in drug disposition, glycemic response, tolerability, and incidence of adverse effects during treatment. Pharmacogenomics is a promising area of investigation and involves the search for genetic polymorphisms that may explain the interindividual variability in antidiabetic therapy response. The initial positive results portend that genomic efforts will be able to shed important light on variability in pharmacologic traits. In this review, we summarize the current understanding of genetic polymorphisms that may affect the responses of subjects with T2DM to antidiabetic treatment. These genes belong to three major classes: genes involved in drug metabolism and transporters that influence pharmacokinetics (including the cytochrome P450 [CYP] superfamily, the organic anion transporting polypeptide [OATP] family, and the polyspecific organic cation transporter [OCT] family); genes encoding drug targets and receptors (including peroxisome proliferator-activated receptor gamma [PPARG], the adenosine triphosphate [ATP]-sensitive potassium channel [K(ATP)], and incretin receptors); and genes involved in the causal pathway of T2DM that are able to modify the effects of drugs (including adipokines, transcription factor 7-like 2 (T cell specific, HMG-box) [TCF7L2], insulin receptor substrate 1 [IRS1], nitric oxide synthase 1 (neuronal) adaptor protein [NOS1AP], and solute carrier family 30 (zinc transporter), member 8 [SLC30A8]). In addition to these three major classes, we also review the available evidence on novel genes (CDK5 regulatory subunit associated protein 1-like 1 [CDKAL1], insulin-like growth factor 2 mRNA binding protein 2 [IGF2BP2], potassium voltage-gated channel, KQT-like subfamily, member 1 [KCNQ1], paired box 4 [PAX4] and neuronal differentiation 1 [NEUROD1] transcription factors, ataxia telangiectasia mutated [ATM], and serine racemase [SRR]) that have recently been proposed as possible modulators of therapeutic response in subjects with T2DM.

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Year:  2012        PMID: 23018631     DOI: 10.1007/s40291-012-0002-7

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


  271 in total

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Journal:  J Pharmacol Exp Ther       Date:  2005-04-21       Impact factor: 4.030

2.  [Association analysis of 30 type 2 diabetes candidate genes in Chinese Han population].

Authors:  Zhuo Liu; Yong-wei Zhang; Qi-ping Feng; Yun-feng Li; Guo-dong Wu; Jin Zuo; Xin-hua Xiao; Fu-de Fang
Journal:  Zhongguo Yi Xue Ke Xue Yuan Xue Bao       Date:  2006-04

3.  Identification and functional characterization of a new human kidney-specific H+/organic cation antiporter, kidney-specific multidrug and toxin extrusion 2.

Authors:  Satohiro Masuda; Tomohiro Terada; Atsushi Yonezawa; Yuko Tanihara; Koshiro Kishimoto; Toshiya Katsura; Osamu Ogawa; Ken-ichi Inui
Journal:  J Am Soc Nephrol       Date:  2006-06-28       Impact factor: 10.121

4.  TCF7L2 variation predicts hyperglycemia incidence in a French general population: the data from an epidemiological study on the Insulin Resistance Syndrome (DESIR) study.

Authors:  Stéphane Cauchi; David Meyre; Hélène Choquet; Christian Dina; Catherine Born; Michel Marre; Beverley Balkau; Philippe Froguel
Journal:  Diabetes       Date:  2006-11       Impact factor: 9.461

5.  A neuronal isoform of nitric oxide synthase expressed in pancreatic beta-cells controls insulin secretion.

Authors:  A D Lajoix; H Reggio; T Chardès; S Péraldi-Roux; F Tribillac; M Roye; S Dietz; C Broca; M Manteghetti; G Ribes; C B Wollheim; R Gross
Journal:  Diabetes       Date:  2001-06       Impact factor: 9.461

Review 6.  Rosiglitazone.

Authors:  J A Balfour; G L Plosker
Journal:  Drugs       Date:  1999-06       Impact factor: 9.546

7.  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

8.  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

9.  The Gly972-->Arg amino acid polymorphism in IRS-1 impairs insulin secretion in pancreatic beta cells.

Authors:  O Porzio; M Federici; M L Hribal; D Lauro; D Accili; R Lauro; P Borboni; G Sesti
Journal:  J Clin Invest       Date:  1999-08       Impact factor: 14.808

10.  Transgenic mice overexpressing human G972R IRS-1 show impaired insulin action and insulin secretion.

Authors:  Marta L Hribal; F Tornei; A Pujol; R Menghini; D Barcaroli; D Lauro; R Amoruso; R Lauro; F Bosch; G Sesti; M Federici
Journal:  J Cell Mol Med       Date:  2008-01-19       Impact factor: 5.310

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  19 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.  Targeting sirtuins for the treatment of diabetes.

Authors:  Frank K Huynh; Kathleen A Hershberger; Matthew D Hirschey
Journal:  Diabetes Manag (Lond)       Date:  2013-05-01

3.  Cloning and expression of visfatin and screening of oligopeptides binding with visfatin.

Authors:  Xin Yu Liu; Lin Ge; De Min Yu
Journal:  Int J Clin Exp Med       Date:  2014-12-15

4.  Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus.

Authors:  S Prudente; R Di Paola; S Pezzilli; M Garofolo; O Lamacchia; T Filardi; G C Mannino; L Mercuri; F Alberico; M G Scarale; G Sesti; S Morano; G Penno; M Cignarelli; M Copetti; V Trischitta
Journal:  Pharmacogenomics J       Date:  2017-07-11       Impact factor: 3.550

Review 5.  Pharmacogenetic studies update in type 2 diabetes mellitus.

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

6.  Pilot study in pharmacogenomic management of empagliflozin in type 2 diabetes mellitus patients.

Authors:  Mahdieh Jamalizadeh; Mandana Hasanzad; Negar Sarhangi; Farshad Sharifi; Ensieh Nasli-Esfahani; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2021-08-10

Review 7.  Review of the Structural and Dynamic Mechanisms of PPARγ Partial Agonism.

Authors:  Alice J Kroker; John B Bruning
Journal:  PPAR Res       Date:  2015-09-08       Impact factor: 4.964

Review 8.  Pharmacogenomics of Drug Response in Type 2 Diabetes: Toward the Definition of Tailored Therapies?

Authors:  Carla Pollastro; Carmela Ziviello; Valerio Costa; Alfredo Ciccodicola
Journal:  PPAR Res       Date:  2015-06-15       Impact factor: 4.964

Review 9.  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

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

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