» Articles » PMID: 28283684

Pharmacogenetics in Type 2 Diabetes: Precision Medicine or Discovery Tool?

Overview
Journal Diabetologia
Specialty Endocrinology
Date 2017 Mar 12
PMID 28283684
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

In recent years, technological and analytical advances have led to an explosion in the discovery of genetic loci associated with type 2 diabetes. However, their ability to improve prediction of disease outcomes beyond standard clinical risk factors has been limited. On the other hand, genetic effects on drug response may be stronger than those commonly seen for disease incidence. Pharmacogenetic findings may aid in identifying new drug targets, elucidate pathophysiology, unravel disease heterogeneity, help prioritise specific genes in regions of genetic association, and contribute to personalised or precision treatment. In diabetes, precedent for the successful application of pharmacogenetic concepts exists in its monogenic subtypes, such as MODY or neonatal diabetes. Whether similar insights will emerge for the much more common entity of type 2 diabetes remains to be seen. As genetic approaches advance, the progressive deployment of candidate gene, large-scale genotyping and genome-wide association studies has begun to produce suggestive results that may transform clinical practice. However, many barriers to the translation of diabetes pharmacogenetic discoveries to the clinic still remain. This perspective offers a contemporary overview of the field with a focus on sulfonylureas and metformin, identifies the major uses of pharmacogenetics, and highlights potential limitations and future directions.

Citing Articles

Precision Medicine in Type 2 Diabetes Mellitus: Utility and Limitations.

Galiero R, Caturano A, Vetrano E, Monda M, Marfella R, Sardu C Diabetes Metab Syndr Obes. 2023; 16:3669-3689.

PMID: 38028995 PMC: 10658811. DOI: 10.2147/DMSO.S390752.


Identification of Novel Intronic SNPs in Transporter Genes Associated with Metformin Side Effects.

Schweighofer N, Strasser M, Obermayer A, Trummer O, Sourij H, Sourij C Genes (Basel). 2023; 14(8).

PMID: 37628660 PMC: 10454417. DOI: 10.3390/genes14081609.


Current Advances in the Management of Diabetes Mellitus.

Aloke C, Egwu C, Aja P, Obasi N, Chukwu J, Akumadu B Biomedicines. 2022; 10(10).

PMID: 36289697 PMC: 9599361. DOI: 10.3390/biomedicines10102436.


Coronarin A modulated hepatic glycogen synthesis and gluconeogenesis via inhibiting mTORC1/S6K1 signaling and ameliorated glucose homeostasis of diabetic mice.

Huang S, Xie W, Ye Y, Liu J, Qu H, Shen Y Acta Pharmacol Sin. 2022; 44(3):596-609.

PMID: 36085523 PMC: 9958036. DOI: 10.1038/s41401-022-00985-5.


Association of GLP1R Polymorphisms With the Incretin Response.

Dorsey-Trevino E, Kaur V, Mercader J, Florez J, Leong A J Clin Endocrinol Metab. 2022; 107(9):2580-2588.

PMID: 35723666 PMC: 9387717. DOI: 10.1210/clinem/dgac374.


References
1.
Dujic T, Zhou K, Donnelly L, Tavendale R, Palmer C, Pearson E . Association of Organic Cation Transporter 1 With Intolerance to Metformin in Type 2 Diabetes: A GoDARTS Study. Diabetes. 2014; 64(5):1786-93. PMC: 4452716. DOI: 10.2337/db14-1388. View

2.
Gloyn A, Pearson E, Antcliff J, Proks P, Bruining G, Slingerland A . Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes. N Engl J Med. 2004; 350(18):1838-49. DOI: 10.1056/NEJMoa032922. View

3.
Feng Y, Mao G, Ren X, Xing H, Tang G, Li Q . Ser1369Ala variant in sulfonylurea receptor gene ABCC8 is associated with antidiabetic efficacy of gliclazide in Chinese type 2 diabetic patients. Diabetes Care. 2008; 31(10):1939-44. PMC: 2551631. DOI: 10.2337/dc07-2248. View

4.
Owen M, Doran E, Halestrap A . Evidence that metformin exerts its anti-diabetic effects through inhibition of complex 1 of the mitochondrial respiratory chain. Biochem J. 2000; 348 Pt 3:607-14. PMC: 1221104. View

5.
Xia Q, Chesi A, Manduchi E, Johnston B, Lu S, Leonard M . The type 2 diabetes presumed causal variant within TCF7L2 resides in an element that controls the expression of ACSL5. Diabetologia. 2016; 59(11):2360-2368. DOI: 10.1007/s00125-016-4077-2. View