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遗传预测的身体活动与较低的血清尿酸浓度有关。

Genetically predicted physical activity is associated with lower serum urate concentrations.

机构信息

Department of Rheumatology and Immunology, Zhuji People's Hospital of Zhejiang Province, 311800, Zhuji, China.

School of Public Health, Hangzhou Medical College, 481 Binwen Road, 310053, Hangzhou, Zhejiang, China.

出版信息

Genes Genomics. 2022 Jul;44(7):843-853. doi: 10.1007/s13258-022-01239-8. Epub 2022 May 27.

DOI:10.1007/s13258-022-01239-8
PMID:35622233
Abstract

BACKGROUND

Physical activity (PA) is considered to play an important role in the reduced gout risk. However, the epidemiology results are inconsistent and causality remains unclear.

OBJECTIVE

To investigate the causal relationship of PA with serum urate concentrations and gout risk by a bidirectional Mendelian randomization (MR) approach.

METHOD

Two genome-wide association studies (GWASs) from UK Biobank were used to identify instrumental variables for self-reported moderate-to-vigorous PA (including 377,234 European individuals), accelerometer-measured 'average acceleration' PA (including 91,084 European individuals) and accelerometer-measured overall PA (including 91,105 European individuals). The summary data for serum urate (including 110,347 European individuals) and gout (including 2,115 cases and 67,259 controls) were derived from GWAS of Global Urate Genetics Consortium. Moreover, reverse direction Mendelian randomization study was conducted. The inverse-variance weighted, weighted median, Mendelian randomization Egger regression, simple mode and weighted mode and Mendelian Randomization Pleiotropy RESidual Sum and Outlier were methods we performed.

RESULT

Genetic predisposition to accelerometer-measured 'average acceleration' PA [beta = -0.038; 95% confidence interval (CI) = -0.060,-0.015; P = 0.001] and accelerometer-measured overall PA (beta = -0.339; 95% CI = -0.522,-0.156; P = 2.8E-4) were significantly associated with decreased serum urate concentrations. Besides, there was no evidence supporting the causal association between PA and gout risk. In the reverse direction analysis, genetic predisposition to both urate and gout were not associated with PA being investigated.

CONCLUSIONS

In MR study, we found that PA may reduce serum urate concentrations but not the risk of gout. Moreover, serum urate concentrations and gout were not associated with PA.

摘要

背景

身体活动(PA)被认为在降低痛风风险方面发挥着重要作用。然而,流行病学研究结果并不一致,因果关系尚不清楚。

目的

通过双向孟德尔随机化(MR)方法研究 PA 与血清尿酸浓度和痛风风险的因果关系。

方法

使用来自英国生物库的两项全基因组关联研究(GWAS)来识别自我报告的中等到剧烈的 PA(包括 377234 名欧洲个体)、加速度计测量的“平均加速度”PA(包括 91084 名欧洲个体)和加速度计测量的总体 PA(包括 91105 名欧洲个体)的工具变量。血清尿酸(包括 110347 名欧洲个体)和痛风(包括 2115 例病例和 67259 例对照)的汇总数据来自全球尿酸遗传学联合会的 GWAS。此外,还进行了反向孟德尔随机化研究。我们使用的方法包括逆方差加权、加权中位数、孟德尔随机化 Egger 回归、简单模式和加权模式以及孟德尔随机化 pleiotropy RESidual Sum and Outlier。

结果

加速度计测量的“平均加速度”PA(β=-0.038;95%置信区间[CI]:-0.060,-0.015;P=0.001)和加速度计测量的总体 PA(β=-0.339;95%CI:-0.522,-0.156;P=2.8E-4)的遗传易感性与血清尿酸浓度降低显著相关。此外,没有证据支持 PA 与痛风风险之间的因果关系。在反向分析中,尿酸和痛风的遗传易感性与所研究的 PA 没有关联。

结论

在 MR 研究中,我们发现 PA 可能降低血清尿酸浓度,但不能降低痛风风险。此外,血清尿酸浓度和痛风与 PA 无关。

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本文引用的文献

1
Causal Evaluation of Laboratory Markers in Type 2 Diabetes on Cancer and Vascular Diseases Using Various Mendelian Randomization Tools.使用多种孟德尔随机化工具对2型糖尿病的实验室指标在癌症和血管疾病中的因果评估
Front Genet. 2020 Dec 21;11:597420. doi: 10.3389/fgene.2020.597420. eCollection 2020.
2
One year in review 2020: gout.2020 年回顾:痛风。
Clin Exp Rheumatol. 2020 Sep-Oct;38(5):807-821. Epub 2020 Oct 2.
3
Physical activity prevents acute inflammation in a gout model by downregulation of TLR2 on circulating neutrophils as well as inhibition of serum CXCL1 and is associated with decreased pain and inflammation in gout patients.
体力活动与 2 型糖尿病和高尿酸血症患者痛风患病率的关系:一项基于两中心的人群横断面研究。
Clin Rheumatol. 2024 Sep;43(9):2955-2961. doi: 10.1007/s10067-024-07081-5. Epub 2024 Jul 26.
4
The Impact of Different Intensities of Physical Activity on Serum Urate and Gout: A Mendelian Randomization Study.不同强度体育活动对血清尿酸和痛风的影响:一项孟德尔随机化研究
Metabolites. 2024 Jan 19;14(1):66. doi: 10.3390/metabo14010066.
5
Associations between serum urate and telomere length and inflammation markers: Evidence from UK Biobank cohort.尿酸与端粒长度和炎症标志物之间的关联:来自英国生物库队列的证据。
Front Immunol. 2022 Dec 15;13:1065739. doi: 10.3389/fimmu.2022.1065739. eCollection 2022.
身体活动通过下调循环中性粒细胞上的 TLR2 以及抑制血清 CXCL1 来预防痛风模型中的急性炎症,并且与痛风患者疼痛和炎症的减轻相关。
PLoS One. 2020 Oct 1;15(10):e0237520. doi: 10.1371/journal.pone.0237520. eCollection 2020.
4
Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors.全球痛风流行病学:患病率、发病率、治疗模式和危险因素。
Nat Rev Rheumatol. 2020 Jul;16(7):380-390. doi: 10.1038/s41584-020-0441-1. Epub 2020 Jun 15.
5
Gout.痛风。
Nat Rev Dis Primers. 2019 Sep 26;5(1):69. doi: 10.1038/s41572-019-0115-y.
6
Physical activity trajectories and mortality: population based cohort study.体力活动轨迹与死亡率:基于人群的队列研究。
BMJ. 2019 Jun 26;365:l2323. doi: 10.1136/bmj.l2323.
7
Physical Activity, All-Cause and Cardiovascular Mortality, and Cardiovascular Disease.体力活动、全因和心血管死亡率以及心血管疾病。
Med Sci Sports Exerc. 2019 Jun;51(6):1270-1281. doi: 10.1249/MSS.0000000000001939.
8
Accelerometer compared with questionnaire measures of physical activity in relation to body size and composition: a large cross-sectional analysis of UK Biobank.加速度计与问卷测量的身体活动与身体大小和成分的关系:英国生物库的一项大型横断面分析。
BMJ Open. 2019 Jan 29;9(1):e024206. doi: 10.1136/bmjopen-2018-024206.
9
Gout and cardiovascular disease: crystallized confusion.痛风与心血管疾病:结晶化的困惑。
Curr Opin Rheumatol. 2019 Mar;31(2):118-124. doi: 10.1097/BOR.0000000000000585.
10
GWAS identifies 14 loci for device-measured physical activity and sleep duration.GWAS 确定了 14 个与设备测量的身体活动和睡眠时间相关的基因座。
Nat Commun. 2018 Dec 10;9(1):5257. doi: 10.1038/s41467-018-07743-4.