2型糖尿病对骨密度的潜在影响:一项孟德尔随机研究。

Yujie Wu, Yue Luo, Huiping Wu, Mengjie Yang, Jiahui Jin, Xiaoou Shan, Zhichao Zheng
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引用次数: 0

摘要

目的:采用孟德尔随机化方法(MR)研究不同年龄组2型糖尿病(T2DM)与骨密度(BMD)之间的因果关系。该研究旨在阐明2型糖尿病如何影响骨密度,以及骨密度变化是否会增加患2型糖尿病的风险,重点关注年龄特异性影响。方法:我们使用来自全基因组关联研究(GWAS)的公开数据进行了两样本MR分析。数据来源包括不同年龄组的T2DM和BMD数据集。该方法结合了多种磁共振技术,如逆方差加权(IVW)、MR- egger和加权中位数,以增强鲁棒性并减轻潜在的偏差。此外,进行反向MR以探讨BMD是否影响对T2DM的易感性。结果:我们的研究结果显示,在45岁及以上的人群中,2型糖尿病与较高的骨密度呈正相关。在较年轻的年龄组(0-45岁)中未观察到显著的相关性。反向MR分析显示BMD和T2DM之间没有因果关系,除了在45-60岁年龄组中存在弱关联。结论:T2DM对老年人骨密度有保护作用,强调了在T2DM患者骨健康管理中考虑年龄的重要性。需要进一步的研究来了解潜在的机制,并探索这些发现的潜在临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The hidden influence of type 2 diabetes on bone mineral density across the lifespan: a Mendelian randomization study.

Purpose: This study investigates the causal relationship between type 2 diabetes mellitus (T2DM) and bone mineral density (BMD) across different age groups using Mendelian randomization (MR). The research aims to clarify how T2DM influences BMD and whether BMD variations contribute to the risk of developing T2DM, focusing on age-specific effects.

Methods: We conducted a two-sample MR analysis using publicly available data from genome-wide association studies (GWAS). Data sources included T2DM and BMD datasets across various age cohorts.The methodology incorporated diverse MR techniques, such as inverse-variance weighting (IVW), MR-Egger, and weighted median, to enhance robustness and mitigate potential biases. Additionally, reverse MR was performed to explore whether BMD affects the susceptibility to T2DM.

Results: Our findings show a positive association between T2DM and higher BMD in individuals aged 45 and older. No significant relationship was observed in younger age groups (0-45 years). The reverse MR analysis revealed no causal link between BMD and T2DM, except in the 45-60 age group in whom a weak association was noted.

Conclusion: T2DM has a protective effect on BMD in older individuals, highlighting the importance of considering age in the management of bone health in T2DM patients. Further research is needed to understand the underlying mechanisms and to explore the potential clinical implications of these findings.

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