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咖啡消费对三种主要骨骼疾病的影响:一项孟德尔随机化试验。

The effect of coffee consumption on three main bone disorders: a Mendelian randomization trial.

作者信息

Zhang Xiang, Xu Jin

机构信息

Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.

Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, 250021, Shandong, China.

出版信息

J Bone Miner Metab. 2024 Nov;42(6):633-646. doi: 10.1007/s00774-024-01533-3. Epub 2024 Jul 10.

Abstract

INTRODUCTION

Despite a large number of observational studies examining the effect of coffee consumption(CC) on bone disorders(BDs), particularly, osteoarthritis(OA), osteoportic fracture(OF), and rheumatoid arthritis(RA), the conclusions are highly controversial. Thus, it is essential to examine the causal association between CC and BDs.

MATERIALS AND METHODS

Mendelian randomization (MR) analysis was performed to assess the causal influence of CC on OF, RA, and OA. The main endpoint was the odds ratio (OR) of the inverse variance weighted (IVW) approach. In addition, the weighted median (WM), MR-Egger regressions, MR-pleiotropy residual sum and outlier (MR-PRESSO) and multivariable MR (MVMR) were included in sensitivity analyses. Furthermore, the function of causal SNPs was evaluated by gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction networks.

RESULTS

Primary MR analysis based on the IVW method suggested that changes in CC alter risk of OF (OR = 1.383, 95%CI 1.079-1.853, P = 0.039), RA(OR: 1.623, 95%CI 1.042-2.527, P = 0.032) and HOA (hip osteoarthritis, OR = 1.536, 95% CI 1.044-2.259, P = 0.021). However, these causal relationships were not robust in sensitivity analyses. In contrast, there is a positive causal relationship between increased CC and the risk of KOA (knee osteoarthritis, OR: 2.094, 95%CI: 1.592-2.754, P = 1.41 × 10), as evidenced by the IVW using random effect. A similar effect size was observed across all MR sensitivity analyses, with no evidence of horizontal pleiotropy.

CONCLUSION

Based on our MR analysis, increased CC was causally linked to an increase in the risk of KOA. Genetic predictions suggested that CC reduction may have benefits for bone health.

摘要

引言

尽管有大量观察性研究探讨了咖啡消费(CC)对骨骼疾病(BDs)的影响,尤其是骨关节炎(OA)、骨质疏松性骨折(OF)和类风湿关节炎(RA),但其结论极具争议性。因此,研究CC与BDs之间的因果关系至关重要。

材料与方法

进行孟德尔随机化(MR)分析,以评估CC对OF、RA和OA的因果影响。主要终点是逆方差加权(IVW)方法的比值比(OR)。此外,敏感性分析还包括加权中位数(WM)、MR-Egger回归、MR-多效性残差和异常值(MR-PRESSO)以及多变量MR(MVMR)。此外,通过基因本体(GO)分析、京都基因与基因组百科全书(KEGG)通路富集分析和蛋白质-蛋白质相互作用网络评估因果单核苷酸多态性的功能。

结果

基于IVW方法的主要MR分析表明,CC的变化会改变OF的风险(OR = 1.383,95%CI 1.079 - 1.853,P = 0.039)、RA的风险(OR:1.623,95%CI 1.042 - 2.527,P = 0.032)和髋骨关节炎(HOA,OR = 1.536,95%CI 1.044 - 2.259,P = 0.021)。然而,这些因果关系在敏感性分析中并不稳健。相比之下,CC增加与膝骨关节炎(KOA)风险之间存在正因果关系(OR:2.094,95%CI:1.592 - 2.754,P = 1.41×10),随机效应的IVW证明了这一点。在所有MR敏感性分析中均观察到类似的效应大小,没有水平多效性的证据。

结论

基于我们的MR分析,CC增加与KOA风险增加存在因果关系。基因预测表明,减少CC可能对骨骼健康有益。

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