Pharmacogenomics of Sulfonylureas Response in Relation to rs7754840 Polymorphisms in Cyclin-Dependent Kinase 5 Regulatory Subunit-associated Protein 1-like (CDKAL1) Gene in Iranian Type 2 Diabetes Patients

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background

Sulfonylureas are important drugs of choice for treatment of type 2 diabetes mellitus (T2DM). It is suggested that differential response to sulfonylureas from T2DM patients is under infl uence of single nucleotide polymorphisms in some of the target genes. In spite of favorable therapeutic effects, sulfonylureas are associated with some adverse side effects such as microvascular complications and stroke, especially in older patients. Therefore, for T2DM patients who are getting less benefi t, sulfonylureas should be avoided. Cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like (CDKAL1) gene variation is reported to be associated with sulfonylureas effectiveness. Due to the inconsistency of available data regarding association of rs7754840 in CDKAL1 gene with sulfonylureas response in T2DM patients, the present study is conducted.

Materials and Methods

Fifty-one diabetic patients sensitive to sulfonylureas and 51 patients resistant to sulfonylureas treatment were recruited to this study. After extraction of DNA from patients’ peripheral blood samples, rs7754840 single-nucleotide polymorphism was genotyped by polymerase chain reaction-restriction fragment length polymorphism assay using MaeII (Tail) restriction enzyme.

Results

Frequency of G allele in resistant group was more than sensitive group (71, 6% vs. 57, 8%). Regression analysis was shown signifi cant association between GG genotype and higher risk of resistance to sulfonylureas treatment (odds ratio = 2.250 [95% confi dential intervals: 1.010–5.012]; P = 0.046).

Conclusion

Our data confi rmed that genotypes of rs7754840 are signifi cantly associated with sulfonylureas treatment response. rs7754840 in CDKAL1 gene in combination with other clinicopathological fi ndings would help to move towards personalized therapy of T2DM patients.

Language:
English
Published:
Advanced Biomedical Research, Volume:8 Issue: 6, Jun 2018
Page:
96
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