Kim Ehn-Young, Choi Ja-Eun, Lee Ji-Won, Park Jae-Min, Song Youhyun, Kwon Yu-Jin, Hong Kyung-Won
Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1, Yonsei to Seodaemun-gu, Seoul, 03722, South Korea.
Advanced Institute of Technology, Healthcare R&D Division, Theragen BioHealth Co., Ltd, A-10F, Samhwan HIPEX 240, Pangyoyeok-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea.
Sci Rep. 2025 Aug 20;15(1):30626. doi: 10.1038/s41598-025-13125-w.
This study aimed to identify novel genetic variants associated with hyperuricemia risk across multiple nutrients by assessing significant gene-nutrient interactions using large-scale genome-wide association study (GWAS) data in the Korean population. A total of 48,007 individuals from the Korean Genome and Epidemiology Study dataset were included in the GWAS. Dietary intake was evaluated using a food frequency questionnaire. To identify genomic loci that interact with specific nutrients influencing hyperuricemia risk, we conducted a GWAS followed by gene-nutrient interaction analyses of genome-wide significant single-nucleotide polymorphisms (SNPs). Two SNPs with significant gene-nutrient interactions for specific nutrients were identified: rs113206751 in the Membrane-Associated Ring-CH-Type Finger 1 (MARCH1) gene and rs9393235 in the Neuroblastoma-Associated Transcript 1 (NBAT1) gene near the prolactin (PRL) gene. Among individuals consuming vitamin A above the dietary reference intake (DRI), carriers of the minor allele (A) at MARCH1-rs113206751 had a higher risk of hyperuricemia than those with the reference allele (-, no insertion) (odds ratio [OR] 1.63, 95% confidence interval [CI] 1.38-1.93, p: 1.01 × 10, interaction p: 1.22 × 10). Among individuals consuming potassium above the DRI, carriers of the minor allele (G) at NBAT1/PRL-rs9393235 showed an increased risk of hyperuricemia than those with the reference allele A (OR 3.14, 95% CI 2.09-4.71, p: 3.69 × 10, interaction p: 1.21 × 10). These findings suggest potential gene-nutrient interactions between MARCH1 and vitamin A, as well as between NBAT1/PRL and potassium, in relation to hyperuricemia risk. However, these findings may have limited generalizability beyond the Korean population studied and require validation in more diverse populations. This study emphasizes genomic-nutritional integration for personalized hyperuricemia management.
本研究旨在通过利用韩国人群大规模全基因组关联研究(GWAS)数据评估显著的基因-营养素相互作用,来识别与多种营养素相关的高尿酸血症风险的新遗传变异。韩国基因组与流行病学研究数据集的总共48,007名个体被纳入GWAS。使用食物频率问卷评估饮食摄入量。为了识别与影响高尿酸血症风险的特定营养素相互作用的基因组位点,我们进行了GWAS,随后对全基因组显著的单核苷酸多态性(SNP)进行基因-营养素相互作用分析。鉴定出两个与特定营养素具有显著基因-营养素相互作用的SNP:膜相关环-CH型指蛋白1(MARCH1)基因中的rs113206751和催乳素(PRL)基因附近神经母细胞瘤相关转录本1(NBAT1)基因中的rs9393235。在维生素A摄入量高于膳食参考摄入量(DRI)的个体中,MARCH1-rs113206751位点的次要等位基因(A)携带者患高尿酸血症的风险高于参考等位基因(-,无插入)携带者(优势比[OR] 1.63,95%置信区间[CI] 1.38 - 1.93,p:1.01×10,相互作用p:1.22×10)。在钾摄入量高于DRI的个体中,NBAT1/PRL-rs9393235位点的次要等位基因(G)携带者患高尿酸血症的风险高于参考等位基因A携带者(OR 3.14,95% CI 2.09 - 4.71,p:3.69×10,相互作用p:1.21×10)。这些发现表明,MARCH1与维生素A之间以及NBAT1/PRL与钾之间在高尿酸血症风险方面存在潜在的基因-营养素相互作用。然而,这些发现可能在研究的韩国人群之外的普遍适用性有限,需要在更多样化的人群中进行验证。本研究强调了基因组-营养整合在个性化高尿酸血症管理中的重要性。