Effects and interaction of single nucleotide polymorphisms at the pharmacokinetic/pharmacodynamic site: insights from the Rotterdam study into metformin clinical response and dose titration.

IF 2.9 3区 医学 Q2 GENETICS & HEREDITY Pharmacogenomics Journal Pub Date : 2024-10-07 DOI:10.1038/s41397-024-00352-z
Soroush Mohammadi Jouabadi, Payam Peymani, Mitra Nekouei Shahraki, Jeroen G J van Rooij, Linda Broer, Anton J M Roks, Bruno H Stricker, Fariba Ahmadizar
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Abstract

Our study investigated the impact of genetic variations on metformin glycemic response in a cohort from the Rotterdam Study, comprising 14,926 individuals followed for up to 27 years. Among 1285 metformin users of European ancestry, using linear mixed models, we analyzed the association of single nucleotide polymorphisms (SNPs) and a Polygenic Risk Score (PRS) with glycemic response, measured by changes in metformin dosage or HbA1c levels. While individual genetic variants showed no significant association, rs622342 on SLC2A1 correlated with increased glycemic response only in metformin monotherapy patients (β = -2.09, P-value < 0.001). The collective effect of variants, as represented by PRS, weakly correlated with changes in metformin dosage (β = 0.023, P-value = 0.027). Synergistic interaction was observed between rs7124355 and rs8192675. Our findings suggest that while higher PRS correlates with increased metformin dosage, its modest effect size limits clinical utility, emphasizing the need for future research in diverse populations to refine genetic risk models.

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单核苷酸多态性在药代动力学/药效学部位的影响和相互作用:鹿特丹研究对二甲双胍临床反应和剂量滴定的启示。
我们的研究调查了鹿特丹研究队列中基因变异对二甲双胍血糖反应的影响,该队列由 14926 人组成,随访时间长达 27 年。在 1285 名欧洲血统的二甲双胍使用者中,我们使用线性混合模型分析了单核苷酸多态性(SNPs)和多基因风险评分(PRS)与血糖反应的关系,血糖反应通过二甲双胍剂量或 HbA1c 水平的变化来衡量。虽然单个基因变异没有显示出明显的相关性,但 SLC2A1 上的 rs622342 仅与二甲双胍单药治疗患者的血糖反应增加相关(β = -2.09,P 值为 0.05)。
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来源期刊
Pharmacogenomics Journal
Pharmacogenomics Journal 医学-药学
CiteScore
7.20
自引率
0.00%
发文量
35
审稿时长
6-12 weeks
期刊介绍: The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications. Key areas of coverage include: Personalized medicine Effects of genetic variability on drug toxicity and efficacy Identification and functional characterization of polymorphisms relevant to drug action Pharmacodynamic and pharmacokinetic variations and drug efficacy Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics Clinical applications of genomic science Identification of novel genomic targets for drug development Potential benefits of pharmacogenomics.
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