Prediagnostic Amino Acid Metabolites and Risk of Gout, Accounting for Serum Urate: Prospective Cohort Study and Mendelian Randomization.

IF 3.7 2区 医学 Q1 RHEUMATOLOGY Arthritis Care & Research Pub Date : 2024-08-21 DOI:10.1002/acr.25420
Natalie McCormick, Amit D Joshi, Chio Yokose, Bing Yu, Adrienne Tin, Robert Terkeltaub, Tony R Merriman, Oana Zeleznik, A Heather Eliassen, Gary C Curhan, Hang-Korng Ea, Matthew Nayor, Laura M Raffield, Hyon K Choi
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引用次数: 0

Abstract

Objective: Our objective was to prospectively investigate prediagnostic population-based metabolome for risk of hospitalized gout (ie, most accurate, severe, and costly cases), accounting for serum urate.

Methods: We conducted prediagnostic metabolome-wide analyses among 249,677 UK Biobank participants with nuclear magnetic resonance metabolomic profiling (N = 168 metabolites, including eight amino acids) from baseline blood samples (2006-2010) without a history of gout. We calculated multivariable hazard ratios (HRs) for hospitalized incident gout, before and after adjusting for serum urate levels; we included patients with nonhospitalized incident gout in a sensitivity analysis. Potential causal effects were evaluated with two-sample Mendelian randomization.

Results: Correcting for multiple testing, 107 metabolites were associated with incidence of hospitalized gout (n = 2,735) before urate adjustment, including glycine and glutamine (glutamine HR 0.64, 95% confidence interval [CI] 0.54-0.75, P = 8.3 × 10-8; glycine HR 0.69, 95% CI 0.61-0.78, P = 3.3 × 10-9 between extreme quintiles), and glycoprotein acetyls (HR 2.48, 95% CI 2.15-2.87, P = 1.96 × 10-34). Associations remained significant and directionally consistent following urate adjustment (HR 0.83, 95% CI 0.70-0.98; HR 0.86, 95% CI 0.76-0.98; HR 1.41, 95% CI 1.21-1.63 between extreme quintiles), respectively; corresponding HRs per SD were 0.91 (95% CI 0.86-0.97), 0.94 (95% CI 0.91-0.98), and 1.10 (95% CI 1.06-1.14). Findings persisted when including patients with nonhospitalized incident gout. Mendelian randomization corroborated their potential causal role on hyperuricemia or gout risk; with change in urate levels of -0.05 mg/dL (95% CI -0.08 to -0.01) and -0.12 mg/dL (95% CI -0.22 to -0.03) per SD of glycine and glutamine, respectively, and odds ratios of 0.94 (95% CI 0.88-1.00) and 0.81 (95% CI 0.67-0.97) for gout.

Conclusion: These prospective findings with causal implications could lead to biomarker-based risk prediction and potential supplementation-based interventions with glycine or glutamine.

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诊断前氨基酸代谢物与痛风风险(考虑血清尿酸盐):前瞻性队列研究与孟德尔随机化。
研究目的我们的目标是在考虑血清尿酸盐的情况下,前瞻性地研究基于人群的诊断前代谢组,以了解住院痛风(即最准确、最严重、花费最高的病例)的风险:我们对 249,677 名英国生物库参与者的基线血液样本(2006-2010 年)进行了 NMR 代谢组分析(N=168 种代谢物,包括 8 种氨基酸),并对无痛风病史的参与者进行了诊断前全代谢组分析。在调整血清尿酸水平之前和之后,我们计算了住院痛风发病的多变量危险比(HRs);在一项敏感性分析中,我们纳入了非住院痛风发病病例。我们采用双样本孟德尔随机法评估了潜在的因果效应:结果:校正多重检验后,107 种代谢物与尿酸调整前的住院痛风发病率(N=2735)相关,包括甘氨酸和谷氨酰胺(成反比;HR=0.64[95%CI:0.54,0.75],P=8.3x10-8和HR=0.69[0.61,0.78],P=3.3x10-9),以及糖蛋白乙酰(GlycA;HR=2.48[2.15,2.87],P=1.96x10-34)。尿酸调整后,相关性仍很明显且方向一致(HR=0.83 [0.70,0.98],0.86 [0.76,0.98],极端五分位数之间为 1.41 [1.21,1.63]);每 SD 的相应 HR 分别为 0.91 (0.86,0.97),0.94 (0.91,0.98) 和 1.10 (1.06,1.14)。如果将非住院的痛风病例也包括在内,结果依然如此。孟德尔随机分析证实了它们对高尿酸血症或痛风风险的潜在因果作用;甘氨酸和谷氨酰胺每增加 SD,尿酸水平的变化分别为-0.05 mg/dL (-0.08, -0.01)和-0.12 mg/dL (-0.22, -0.03),而痛风的 OR 分别为 0.94 (0.88, 1.00)和 0.81 (0.67, 0.97):这些具有因果影响的前瞻性研究结果可用于基于生物标志物的风险预测和潜在的甘氨酸或谷氨酰胺补充剂干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.40
自引率
6.40%
发文量
368
审稿时长
3-6 weeks
期刊介绍: Arthritis Care & Research, an official journal of the American College of Rheumatology and the Association of Rheumatology Health Professionals (a division of the College), is a peer-reviewed publication that publishes original research, review articles, and editorials that promote excellence in the clinical practice of rheumatology. Relevant to the care of individuals with rheumatic diseases, major topics are evidence-based practice studies, clinical problems, practice guidelines, educational, social, and public health issues, health economics, health care policy, and future trends in rheumatology practice.
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