Metformin is an oral hypoglycemic agent widely used in clinical practice for treatment of patients with type 2 diabetes mellitus (T2DM). The wide interindividual variability of response to metformin therapy was shown, and recently the impact of several genetic variants was reported. To assess the independent and combined effect of the genetic polymorphism on glycemic response to metformin, we performed an association analysis of the variants in , , , and genes with metformin response in 299 patients with T2DM. Likewise, the distribution of allele and genotype frequencies of the studied gene variants was analyzed in an extended group of patients with T2DM ( = 464) and a population group ( = 129). According to our results, one variant, rs12208357 in the gene, had a significant impact on response to metformin in T2DM patients. Carriers of genotype and allele had a lower response to metformin compared to carriers of / genotypes and allele (-value = 0.0246, -value = 0.0059, respectively). To identify the parameters that had the greatest importance for the prediction of the therapy response to metformin, we next built a set of machine learning models, based on the various combinations of genetic and phenotypic characteristics. The model based on a set of four parameters, including gender, rs12208357 genotype, familial T2DM background, and waist-hip ratio (WHR) showed the highest prediction accuracy for the response to metformin therapy in patients with T2DM (AUC = 0.62 in cross-validation). Further pharmacogenetic studies may aid in the discovery of the fundamental mechanisms of type 2 diabetes, the identification of new drug targets, and finally, it could advance the development of personalized treatment.
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http://dx.doi.org/10.3390/genes13081310 | DOI Listing |
Plant Physiol Biochem
December 2024
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China; Key Laboratory of Fruit and Vegetable Biology and Germplasm Enhancement, Shenyang Agricultural University, Shenyang, 110866, China; Key Laboratory of Protected Horticulture of Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, China. Electronic address:
SnRK1 (SNF1-related kinase 1), a member of the SNF1 protein kinase superfamily, has been demonstrated to play a role in plant growth and development, as well as in stress responses. In this experiment, the leaf senescence of 'Xintaimici' cucumber was simulated by dark treatment and studied using SnRK1 activator/inhibitor and transient transformation technology. The effects of SnRK1 on cucumber leaf senescence, reactive oxygen species (ROS) metabolism, chloroplast structure, and photosynthetic characteristics were studied.
View Article and Find Full Text PDFDiabetes Obes Metab
January 2025
Department of Medicine, Division of Endocrinology, Diabetes Research Center, Columbia University Irving Medical Center, New York, New York, USA.
Objective: Post-prandial glucose response (PPGR) is a risk factor for cardiovascular disease. Meal carbohydrate content is an important predictor of PPGR, but dietary interventions to mitigate PPGR are not always successful. A personalized approach, considering behaviour and habitual pattern of glucose excursions assessed by continuous glucose monitor (CGM), may be more effective.
View Article and Find Full Text PDFGiven the heightened risk of diabetes-related cardiovascular events associated with inactivity, this study investigates the molecular mechanisms of vascular damage in streptozotocin (STZ)-induced diabetic rats. The aim is to elucidate the impact of different exercises (interval and continuous training) and metformin on biochemical parameters, aortic injury, oxidative stress, and inflammation to provide insights into potential therapeutic interventions for diabetes-associated vascular complications. Male Wistar rats were administered a single dose of STZ (60 mg/kg) to induce diabetes.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, South Australia, Australia.
Front Pharmacol
December 2024
Faculty of General Medicine, Yaroslavl State Medical University, Yaroslavl, Russia.
Background And Objective: Dental implant therapy faces challenges in patients with Type 1 and Type 2 Diabetes Mellitus (T1DM and T2DM) due to adverse effects on bone metabolism and immune response. Despite advancements, diabetic patients face higher risks of peri-implantitis and compromised osseointegration. This review assesses the impact of anti-diabetic medications on implant outcomes, offering insights to bridge the gap between animal studies and clinical practice.
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