Literature DB >> 19766903

Metabolic control in type 2 diabetes is associated with sulfonylurea receptor-1 (SUR-1) but not with KCNJ11 polymorphisms.

Nora Nikolac1, Ana-Maria Simundic, Darko Katalinic, Elizabeta Topic, Andrea Cipak, Vanja Zjacic Rotkvic.   

Abstract

BACKGROUND AND AIMS: Sulfonylureas are hypoglycemic agents used for promotion of insulin secretion in type 2 diabetics (T2D). They bind to sulfonylurea receptor-1 (SUR-1), which is a functional subunit of the ATP-sensitive potassium channel (K(ATP)). The other component of the potassium channel is Kir6.2, encoded by gene KCNJ11. Polymorphisms in these genes may lead to modulated response to sulfonylurea therapy. The aim of this study was to determine a relationship between SUR-1 [exon 16 (-3C/T), exon 31 (Arg1273Arg; AGG-->AGA) and exon 33 (S1369A)] and KCNJ11 (E23K) polymorphisms and the following parameters of metabolic control in T2D: fasting plasma glucose (FPG), postprandial glucose (PPG) and HbA1c in Caucasian T2D of European origin.
METHODS: A total of 228 unrelated patients with T2D on sulfonylurea therapy were included in the study. Genotyping of all polymorphisms was performed by PCR-RFLP method. Biochemical parameters were determined using standard laboratory methods.
RESULTS: There was no difference in FPG and PPG concentration in any of the genotype subgroups. However, diabetics with wild-type C/C genotype of the SUR-1 exon 16 polymorphism had significantly lower HbA1c concentration compared to the patients with variant T/T genotype [6.9 (6.2-7.7) mmol/L vs. 8.1 (6.7-8.8) mmol/L; p=0.009]. Also, patients with wild-type G/G genotype of the SUR-1 exon 31 polymorphism had significantly higher HbA1c concentration compared to the patients with variant A/A genotype [7.8 (6.9-8.8) mmol/L vs. 6.3 (5.7-6.8) mmol/L; p<0.001].
CONCLUSIONS: SUR-1 exon 16 and exon 31 polymorphisms are significantly associated with HbA1c concentration.

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Year:  2009        PMID: 19766903     DOI: 10.1016/j.arcmed.2009.06.006

Source DB:  PubMed          Journal:  Arch Med Res        ISSN: 0188-4409            Impact factor:   2.235


  13 in total

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2.  The Application of Genomics in Diabetes: Barriers to Discovery and Implementation.

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Review 4.  Genetic markers predicting sulphonylurea treatment outcomes in type 2 diabetes patients: current evidence and challenges for clinical implementation.

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Journal:  Pharmacogenomics J       Date:  2016-01-26       Impact factor: 3.550

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Journal:  Biomed Rep       Date:  2017-06-02

7.  KCNJ11, ABCC8 and TCF7L2 polymorphisms and the response to sulfonylurea treatment in patients with type 2 diabetes: a bioinformatics assessment.

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Review 9.  KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus.

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Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

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