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影响 2 型糖尿病患者二甲双胍治疗血糖反应的遗传和表型因素。

Genetic and Phenotypic Factors Affecting Glycemic Response to Metformin Therapy in Patients with Type 2 Diabetes Mellitus.

机构信息

D. O. Ott Research Institute of Obstetrics, Gynaecology and Reproductology, 199034 Saint-Petersburg, Russia.

St. Petersburg State University, 199034 Saint-Petersburg, Russia.

出版信息

Genes (Basel). 2022 Jul 23;13(8):1310. doi: 10.3390/genes13081310.

Abstract

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.

摘要

二甲双胍是一种广泛应用于临床实践的口服降糖药,用于治疗 2 型糖尿病(T2DM)患者。研究表明,患者对二甲双胍治疗的反应存在广泛的个体间变异性,最近还报道了几种遗传变异的影响。为了评估遗传多态性对二甲双胍治疗反应的独立和综合影响,我们对 299 例 T2DM 患者的 、 、 和 基因中的变异与二甲双胍反应进行了关联分析。同样,在一个扩展的 T2DM 患者组(=464)和一个人群组(=129)中分析了研究基因变异的等位基因和基因型频率的分布。根据我们的结果,基因中的一个变异 rs12208357 对 T2DM 患者对二甲双胍的反应有显著影响。与 / 基因型和 等位基因携带者相比,基因型和 等位基因携带者对二甲双胍的反应较低(-值=0.0246,-值=0.0059)。为了确定对二甲双胍治疗反应预测最重要的参数,我们接下来基于遗传和表型特征的各种组合,构建了一组机器学习模型。基于包括性别、rs12208357 基因型、家族性 T2DM 背景和腰臀比(WHR)在内的四个参数的模型,对 T2DM 患者二甲双胍治疗反应的预测准确率最高(交叉验证中的 AUC=0.62)。进一步的遗传药理学研究可能有助于发现 2 型糖尿病的基本机制、确定新的药物靶点,最终可以推进个体化治疗的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b033/9330240/adb6b04e6e80/genes-13-01310-g001.jpg

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