Yue Xinghai, Liu Hongfei, Guo Wenzhao, Gao Yuhang, Shi Shaoshun
Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Department of Intensive care unit, the Second Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Sci Rep. 2025 Apr 1;15(1):11082. doi: 10.1038/s41598-025-87693-2.
Observational studies have reported associations between dietary factors and telomere length. However, the inherent limitations of observational study designs render them susceptible to confounding and reverse causation biases. Therefore, this study aims to explore the association between dietary factors and telomere length using Mendelian Randomization (MR) to minimize the influence of confounding factors and reverse causality. The IEU Open GWAS project was the source of exposure and outcome datasets. The exposure datasets included 20 dietary factors. We conducted MR analyses to explore the relationship between dietary factors and telomere length. We used MRPRESSO and Radial-MR test to identify any level of multi-effect outliers. Heterogeneity and pleiotropic analysis were performed to ensure the accuracy of the results. The stability of the effect of significant results is assessed using multivariable Mendelian randomization (MVMR) and MR-lap. Two-sample MR analysis revealed a statistically significant association between dried fruit intake and telomere length (β = 0.223, 95% CI 0.091 to 0.356, P=9.089 × 10^-4). After removing outliers and reanalyzing the data, the association remained significant (β = 0.163, 95% CI: 0.163 0.090 to 0.235, P=7.323 × 10^-5), with no significant pleiotropy detected in sensitivity analyses. Following adjustment for confounders, the MVMR results and MR-lap results continued to support a causal relationship between dried fruit intake and telomere length. Other dietary factors' effects on telomere length still need further confirmation. Our findings suggest a potential causal relationship between dried fruit intake and longer telomere length. This finding highlights potential dietary strategies for exploring the beneficial effects of dried fruit intake on preventing diseases and extending lifespan.
观察性研究报告了饮食因素与端粒长度之间的关联。然而,观察性研究设计的固有局限性使其容易受到混杂因素和反向因果关系偏差的影响。因此,本研究旨在利用孟德尔随机化(MR)探索饮食因素与端粒长度之间的关联,以尽量减少混杂因素和反向因果关系的影响。IEU开放全基因组关联研究(GWAS)项目是暴露和结局数据集的来源。暴露数据集包括20种饮食因素。我们进行了MR分析,以探索饮食因素与端粒长度之间的关系。我们使用MRPRESSO和径向MR检验来识别任何水平的多效性异常值。进行了异质性和多效性分析,以确保结果的准确性。使用多变量孟德尔随机化(MVMR)和MR-lap评估显著结果效应的稳定性。两样本MR分析显示,摄入干果与端粒长度之间存在统计学上的显著关联(β = 0.223,95%置信区间0.091至0.356,P = 9.089×10^-4)。去除异常值并重新分析数据后,该关联仍然显著(β = 0.163,95%置信区间:0.090至0.235,P = 7.323×10^-5),敏感性分析中未检测到显著的多效性。在对混杂因素进行调整后,MVMR结果和MR-lap结果继续支持摄入干果与端粒长度之间的因果关系。其他饮食因素对端粒长度的影响仍需进一步证实。我们的研究结果表明,摄入干果与更长的端粒长度之间存在潜在的因果关系。这一发现突出了潜在的饮食策略,以探索摄入干果对预防疾病和延长寿命的有益作用。