Ortega-Ayala Adiel, De Andrés Fernando, Llerena Adrián, Bartolo-Montiel Carlos Miguel, Acosta-Altamirano Gustavo, Molina-Guarneros Juan Arcadio
Department of Pharmacology, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Department of Analytical Chemistry and Food Technology, Faculty of Pharmacy, University of Castilla-La Mancha, Albacete, Spain.
Front Pharmacol. 2024 Sep 30;15:1433519. doi: 10.3389/fphar.2024.1433519. eCollection 2024.
In Mexico, 75% of diabetes mellitus type 2 (DMT2) patients are not in glycaemic control criteria (HbA1c<7%); this entails a significantly variable drug response. Amongst the factors influencing such variability, are genetics, more specifically, single nucleotide polymorphisms (SNPs). Three genes implied in metformin pharmacokinetics are , , and , which are polymorphic. While there have been cross-sectional studies on their SNPs impact over drug response, a longitudinal study would contribute valuable information on their effect over time. SNPs of (rs72552763, rs622342, rs12208357, rs2282143, rs594709, rs628031, and rs683369), (rs316019), and (rs2076828), were determined through PCR-TR. The clinical records of 69 patients undergoing metformin monotherapy were retrospectively assessed. Metformin is the first line treatment against DMT2. A level of HbA1c <7% (time 0) was considered as an inescapable inclusion criterion. The study's cases were those patients who reported HbA1c ≥ 7% (time1) after time 0 (t0). Kaplan-Meier curves including a Log-Rank test and a Cox multivariate analysis of proportional risks were performed. Determining clinical, biochemical, and genetic variables which may affect non-control (HbA1c ≥ 7%) survival time spans amongst DMT2 Mexican-Mestizo patients undergoing metformin monotherapy at (HRAEI) between October 2013 and December 2023. All 69 patients were monitored over a median period of 642 days (273-1,134). A comparison between time 0 and time 1 (t1) revealed differences in weight ( = 0.036), metformin dose mg/kg/day ( = 0.003), plasmatic glucose mg/dL ( = 0.048), and HbA1c ( < 0.001). The median non-control survival rate was different across the 3 genotypes of rs62552763 in ( = 0.0034) and the dominant genotypic model GAT/GAT vs. GAT/del + del/del ( = 0.009). There were differences between rs622342 genotypes as well ( = 0.041). In GAT/GAT the Cox model found HR = 0.407 (IC95%: 0.202-0.818, = 0.011) in the univariate analysis and HR = 0.418 (IC95%: 0.204-0.856, = 0.034) in the multivariate analysis, adjusted by initial metformin dose (mg/kg/day), initial weight (kg), and final metformin dose (mg/kg/day). Genotype A/A of rs622342 in , reported HR = 0.392 (IC95%: 0.169-0.910, = 0.029) in the multivariate analysis as well. Among DMT2 Mexican-Mestizo patients undergoing metformin monotherapy the minor allele del in rs72552763 and the minor allele C in rs622342 reported a significantly shorter survival median respect to the wild type variant. Patients carrying del in rs72552763 or C in rs622342, both in , will reach non-control in less time with respect to other patients. Therefore these genotypes may constitute a therapeutic response biomarker for this population.
在墨西哥,75%的2型糖尿病(DMT2)患者未达到血糖控制标准(糖化血红蛋白<7%);这导致药物反应存在显著差异。影响这种差异的因素包括遗传学,更具体地说是单核苷酸多态性(SNP)。参与二甲双胍药代动力学的三个基因是 、 和 ,它们具有多态性。虽然已有关于其SNP对药物反应影响的横断面研究,但纵向研究将提供有关其随时间影响的有价值信息。通过聚合酶链反应 - 温度循环(PCR - TR)测定了 (rs72552763、rs622342、rs12208357、rs2282143、rs594709、rs628031和rs683369)、 (rs316019)和 (rs2076828)的SNP。对69例接受二甲双胍单药治疗患者的临床记录进行了回顾性评估。二甲双胍是治疗DMT2的一线药物。糖化血红蛋白<7%(时间0)被视为不可避免的纳入标准。研究病例为那些在时间0(t0)后报告糖化血红蛋白≥7%(时间1)的患者。进行了包括对数秩检验和Cox多因素比例风险分析的Kaplan - Meier曲线分析。确定2013年10月至2023年12月在 (HRAEI)接受二甲双胍单药治疗的DMT2墨西哥 - 梅斯蒂索患者中可能影响未控制(糖化血红蛋白≥7%)生存时间的临床、生化和遗传变量。所有69例患者的中位监测期为642天(273 - 1134天)。时间0和时间1(t1)之间的比较显示体重( = 0.036)、二甲双胍剂量mg/kg/天( = 0.003)、血浆葡萄糖mg/dL( = 0.048)和糖化血红蛋白( < 0.001)存在差异。rs62552763的3种基因型在 中的中位未控制生存率不同( = 0.0034),显性基因型模型GAT/GAT与GAT/del + del/del相比( = 0.009)。rs622342基因型之间也存在差异( = 0.041)。在GAT/GAT中,Cox模型在单因素分析中发现风险比(HR)= 0.407(95%置信区间:0.202 -