Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument St, Suite B-319, Baltimore, MD 21287, USA.
Ann Rheum Dis. 2013 May;72(5):701-6. doi: 10.1136/annrheumdis-2011-201186. Epub 2012 Jun 29.
To test for a urate gene-by-diuretic interaction on incident gout.
The Atherosclerosis Risk in Communities Study is a prospective population-based cohort of 15 792 participants recruited from four US communities (1987-1989). Participants with hypertension and available single nucleotide polymorphism (SNP) genotype data were included. A genetic urate score (GUS) was created from common urate-associated SNPs for eight genes. Gout incidence was self-reported. Using logistic regression, the authors estimated the adjusted OR of incident gout by diuretic use, stratified by GUS median.
Of 3524 participants with hypertension, 33% used a diuretic and 3.1% developed gout. The highest 9-year cumulative incidence of gout was in those with GUS above the median and taking a thiazide or loop diuretic (6.3%). Compared with no thiazide or loop diuretic use, their use was associated with an OR of 0.40 (95% CI 0.14 to 1.15) among those with a GUS below the median and 2.13 (95% CI 1.23 to 3.67) for those with GUS above the median; interaction p=0.006. When investigating the genes separately, SLC22A11 and SLC2A9 showed a significant interaction, consistent with the former encoding an organic anion/dicarboxylate exchanger, which mediates diuretic transport in the kidney.
Participants who were genetically predisposed to hyperuricaemia were susceptible to developing gout when taking thiazide or loop diuretics, an effect not evident among those without a genetic predisposition. These findings argue for a potential benefit of genotyping individuals with hypertension to assess gout risk, relative in part to diuretic use.
检测尿酸基因与利尿剂之间是否存在交互作用,以预测痛风的发生。
这项研究基于美国四个社区的前瞻性人群队列研究(1987-1989 年),共纳入了 15792 名参与者,其中包括高血压患者和可用的单核苷酸多态性(SNP)基因型数据。根据 8 个尿酸相关基因的常见 SNP 构建尿酸基因评分(GUS)。痛风的发病情况是通过自我报告来确定的。作者使用逻辑回归分析,按 GUS 中位数分层,估计了利尿剂使用与痛风发病之间的调整比值比(OR)。
在 3524 名高血压患者中,33%使用利尿剂,3.1%发生痛风。在 GUS 高于中位数且使用噻嗪类或袢利尿剂的患者中,9 年的累积痛风发病率最高(6.3%)。与未使用噻嗪类或袢利尿剂相比,GUS 中位数以下患者的使用与 OR 为 0.40(95%可信区间为 0.14 至 1.15),GUS 中位数以上患者的使用与 OR 为 2.13(95%可信区间为 1.23 至 3.67);交互作用 p=0.006。当分别研究基因时,SLC22A11 和 SLC2A9 显示出显著的交互作用,这与前者编码一种有机阴离子/二羧酸转运体一致,该转运体介导肾脏中的利尿剂转运。
对于那些具有尿酸升高遗传倾向的患者,当使用噻嗪类或袢利尿剂时,易发生痛风,而对于那些没有遗传倾向的患者,这种作用并不明显。这些发现表明,对高血压患者进行基因分型以评估痛风风险可能具有潜在益处,部分原因与利尿剂的使用有关。