Evaluation of the influence of polymorphisms of the transporter genes (RFC1, MDR1) and GGH on the efficacy of methotrexate in rheumatoid arthritis

I. V. Devald, E. A. Hodus, D. Nokhrin, E. Khromova, G. Ignatova, D. Stashkevich, A. Lila, A. Burmistrova
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Abstract

The efficacy of methotrexate (MT) in patients with rheumatoid arthritis (RA) may be determined by genetic factors.Objective: to evaluate the isolated and combined effects of single nucleotide polymorphisms (SNPs) of membrane transporter proteins (RFC1 80G>A and MDR1 3435C>T) and the GGH -401C>T gamma-glutamyl hydrolase enzyme genes on the efficacy of MT in patients with RA.Material and methods. The study group consisted of 85 patients with a confirmed diagnosis of RA, who received therapy with MT starting at 10 mg/week and increasing in dose to a maximum of 25 mg/week. Efficacy was assessed after six months of treatment using the dynamics of the DAS28 index, identifying patients who responded and those who did not respond to MT therapy.Genotyping of RFC1, MDR1 and GGH gene polymorphisms was performed by real-time polymerase chain reaction. Three different approaches were used to analyze the results: 1) analysis for each of the genes; 2) logistic regression; and 3) multifactor dimensionality reduction (MDR).Results and discussion. Single gene analysis was used to determine the most likely predictors of non-response to therapy: 1) for GGH-401C>T, TT genotype (odds ratio, OR 5.09; 95% confidence interval, C11.11—23.3); 2) forMDR13435C>T, the TT genotype (OR 2.38; 95% CI0.89-6.37); 3) for RFC180G>A, not - AA genotype (OR 1.87; 95% CI 0.93-3.76).The logistic regression model showed a significant effect of homozygous genotype GGH -401TT on the efficacy of MT with low sensitivity of the method. The multifactorial dimensionality reduction results show a significant synergistic effect of the MT transport genes (MDR1, RFC1) and the GGH enzyme encoding the conversion of MT to the elimination form.Conclusion. Using various statistical methods, the following results were obtained: Single gene analysis revealed the most likely predictors of nonresponse to MT therapy: GGH -401C>T - TT genotype, MDR1 3435C>T - TT genotype, RFC1 80G>A - not-AA genotype; the method of multiple logistic regression allowed to determine the significant effect of GGH -401ТТ genotype on the effect of the drug with a low sensitivity of the method; the isolated effect of polymorphisms is probably less pronounced than their combined effect on the effectiveness of MT. SNP synergism is a major contributor to the development of treatment resistance. MDR is a promising method that can be used in the future to assess the impact of SNPs.
转运体基因(RFC1、MDR1)和GGH多态性对甲氨蝶呤治疗类风湿性关节炎疗效的影响
甲氨蝶呤(MT)治疗类风湿性关节炎(RA)的疗效可能由遗传因素决定。目的:评价膜转运蛋白(RFC1 80G>A和MDR1 3435C>T)单核苷酸多态性(snp)和γ -谷氨酰水解酶基因GGH -401C>T对类风湿关节炎患者MT疗效的分离和联合影响。材料和方法。研究组由85名确诊为RA的患者组成,他们接受MT治疗,从10mg /周开始,剂量增加到最大25mg /周。治疗6个月后,使用DAS28指数动态评估疗效,确定对MT治疗有反应和无反应的患者。实时聚合酶链反应对RFC1、MDR1和GGH基因多态性进行基因分型。分析结果采用了三种不同的方法:1)对每个基因进行分析;2)逻辑回归;3)多因素降维(MDR)。结果和讨论。单基因分析用于确定对治疗无反应的最可能的预测因素:1)ghg - 401c >T, TT基因型(优势比,OR 5.09;95%置信区间(C11.11-23.3);2) TT基因型forMDR13435C>T (OR 2.38;95% ci0.89 - 6.37);3) RFC180G>A,非- AA基因型(OR 1.87;95% ci 0.93-3.76)。logistic回归模型显示,纯合子基因型GGH -401TT对MT疗效影响显著,但该方法敏感性较低。多因子降维结果表明,MT转运基因(MDR1、RFC1)和编码MT转化为消除形式的GGH酶具有显著的协同作用。采用多种统计方法,得到以下结果:单基因分析揭示了MT治疗无反应最可能的预测因子:GGH - 401c >T - TT基因型,MDR1 3435C>T - TT基因型,RFC1 80G>A -非aa基因型;采用多元logistic回归的方法可以确定GGH -401ТТ基因型对药物疗效的显著影响,但该方法的敏感性较低;多态性的单独影响可能不如它们对MT有效性的综合影响那么明显。SNP协同作用是产生治疗耐药性的主要因素。MDR是一种很有前途的方法,可以在未来用于评估snp的影响。
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