Objective: to study the effect of MATE 1, MATE 2 and OCT1 genetic variants on metformin action in recently diagnosed Egyptian Type-2 diabetic patients. Patients & Methods: One hundred type-2 DM patients and forty healthy control were included in the study. All patients were recently diagnosed receiving no treatment before participation in the study. Three single nucleotide polymorphisms (SNPs) were Genotyped using real time PCR, Sequence Detection System: MATE1 (rs2252281), OCT1 coding variants (rs12208357) (SLC22A1) and MATE2 (rs12943590). Results: there is a significant differences between control and patients regarding MATE2 (p<0.05), OCT1 (P<0.005) distribution; in which GG (54%), CC (62%) is the most prevalent among studied patients respectively. MATE1 SNP; Patients with CC alleles and TT allele had better HBA1C (8.577±.2924), (8.7±.25) compared to CT allele patients (9.584±.3023) (P= .04) (P=.019) respectively. OCT1 SNP; CG allele patients showed better RBS (251±9.565) compared to CC allele (294.42±8.476) (p=0.004). Logistic regression test showed that RBS (p=.00001), ALT (p=.0001) and TLC (p=.025) are independent factors affecting blood glucose. Conclusion: MATE1 and OCT1 SNPs may have a potential role in metformin efficacy.
Gut metagenomes of type 2 diabetic patients have characteristic single-nucleotide polymorphism distribution in Bacteroides coprocola
