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饮茶与骨骼健康之间的因果关联:一项孟德尔随机化研究。

Causal Association Between Tea Consumption and Bone Health: A Mendelian Randomization Study.

作者信息

Chen Song, Chen Tianlai, Chen Yibin, Huang Dianhua, Pan Yuancheng, Chen Shunyou

机构信息

Department of Orthopedics, Fuzhou Second Hospital, Fuzhou, China.

The Third Department of Clinical Medicine, Fujian Medical University, Fuzhou, China.

出版信息

Front Nutr. 2022 Apr 26;9:872451. doi: 10.3389/fnut.2022.872451. eCollection 2022.

DOI:10.3389/fnut.2022.872451
PMID:35558741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9087269/
Abstract

BACKGROUND

Much observational research reported that tea consumption decreases the risk of osteoarthritis (OA), rheumatoid arthritis (RA), and osteoporosis (OP) which are the three major bone disorders. However, the observed correlation is inconclusive. To determine the causal relationship between genetically predicted tea intake and OA, RA, and OP, we performed a two-sample Mendelian randomization (MR) study based on large samples.

METHODS

The European population's genome-wide association meta-analysis (GWAS) dataset identified SNPs associated with tea consumption was obtained from Neale Lab's analysis of UK Biobank data that comprised 349,376 participants of European ancestry. We extracted genetic data for knee OA (17,885 controls and 4,462 cases), hip OA (50,898 controls and 12,625 cases), and RA (43,923 controls and 14,361 cases) from the UK Biobank and OP cases (93083 controls and 1,175 cases) from FinnGen Data Freeze 2. A MR study was conducted to examine the effect of selected single nucleotide polymorphisms (SNPs) and OA, RA, and OP risk. Several sensitivity analyses were performed with weighted median and inverse-variance weighted methods for estimating the causal effects.

RESULTS

In this MR study, the genetically predicted per one cup increase of tea consumption was not associated with knee OA (OR 1.11,95% CI: 0.79-1.55) using IVW with random effect. Genetic predisposition to tea consumption was not associated with hip OA (OR: 1.20, 95% CI: 0.84-1.71), RA (OR: 1.24 95% CI: 0.81-1.91), and OP (OR: 1.11, 95% CI: 0.89, 1.39). Following the sensitivity analysis, there was no potential pleiotropy.

CONCLUSION

According to our study, According to our study, there was no statistical power to confirm a causal relationship between tea consumption and the risk of knee OA, hip OA, RA, and OP.

摘要

背景

许多观察性研究报告称,饮茶可降低骨关节炎(OA)、类风湿性关节炎(RA)和骨质疏松症(OP)这三种主要骨骼疾病的风险。然而,观察到的相关性尚无定论。为了确定基因预测的饮茶量与OA、RA和OP之间的因果关系,我们基于大样本进行了一项两样本孟德尔随机化(MR)研究。

方法

从Neale实验室对英国生物银行数据(包括349376名欧洲血统参与者)的分析中获得了欧洲人群全基因组关联荟萃分析(GWAS)数据集,该数据集确定了与饮茶相关的单核苷酸多态性(SNPs)。我们从英国生物银行中提取了膝关节OA(17885名对照和4462例病例)、髋关节OA(50898名对照和12625例病例)以及RA(43923名对照和14361例病例)的基因数据,并从FinnGen数据冻结2中提取了OP病例(93083名对照和1175例病例)的基因数据。进行了一项MR研究,以检验选定的单核苷酸多态性(SNPs)与OA、RA和OP风险之间的关系。采用加权中位数和逆方差加权方法进行了几项敏感性分析,以估计因果效应。

结果

在这项MR研究中,使用随机效应的逆方差加权法(IVW),基因预测的饮茶量每增加一杯与膝关节OA无关(比值比[OR]为1.11,95%置信区间[CI]:0.79 - 1.55)。饮茶的遗传易感性与髋关节OA(OR:1.20,95%CI:0.84 - 1.71)、RA(OR:1.24,95%CI:0.81 - 1.91)和OP(OR:1.11,95%CI:0.89,1.39)均无关。经过敏感性分析,不存在潜在的多效性。

结论

根据我们的研究,没有统计学证据证实饮茶与膝关节OA、髋关节OA、RA和OP风险之间存在因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/bff04127e194/fnut-09-872451-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/fac11ae391da/fnut-09-872451-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/2139c5bfe331/fnut-09-872451-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/4b7a89e337c3/fnut-09-872451-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/d51803820e45/fnut-09-872451-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/bff04127e194/fnut-09-872451-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/fac11ae391da/fnut-09-872451-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/2139c5bfe331/fnut-09-872451-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/4b7a89e337c3/fnut-09-872451-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/d51803820e45/fnut-09-872451-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/9087269/bff04127e194/fnut-09-872451-g005.jpg

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