孟德尔随机化
表观遗传学
转铁蛋白饱和度
生物
生物信息学
DNA甲基化
转铁蛋白
铁稳态
医学
遗传学
内科学
缺铁
基因
基因表达
基因型
贫血
遗传变异
作者
Lei Wang,Yi Liu,Shuxin Zhang,Yunbo Yuan,Siliang Chen,Wenhao Li,Mingrong Zuo,Yuting Xiang,Tengfei Li,Wanchun Yang,Yadong Yuan,Qing Liu
标识
DOI:10.1186/s13148-023-01575-w
摘要
Abstract Background Epigenetic clocks constructed from DNA methylation patterns have emerged as excellent predictors of aging and aging-related health outcomes. Iron, a crucial element, is meticulously regulated within organisms, a phenomenon referred as iron homeostasis. Previous researches have demonstrated the sophisticated connection between aging and iron homeostasis. However, their causal relationship remains relatively unexplored. Results Through two-sample Mendelian randomization (MR) utilizing the random effect inverse variance weighted (IVW) method, each standard deviation (SD) increase in serum iron was associated with increased GrimAge acceleration (GrimAA, Beta IVW = 0.27, P = 8.54E−03 in 2014 datasets; Beta IVW = 0.31, P = 1.25E−02 in 2021 datasets), HannumAge acceleration (HannumAA, Beta IVW = 0.32, P = 4.50E−03 in 2014 datasets; Beta IVW = 0.32, P = 8.03E−03 in 2021 datasets) and Intrinsic epigenetic age acceleration (IEAA, Beta IVW = 0.34, P = 5.33E−04 in 2014 datasets; Beta IVW = 0.49, P = 9.94E−04 in 2021 datasets). Similar results were also observed in transferrin saturation. While transferrin manifested a negative association with epigenetic age accelerations (EAAs) sensitivity analyses. Besides, lack of solid evidence to support a causal relationship from EAAs to iron-related biomarkers. Conclusions The results of present investigation unveiled the causality of iron overload on acceleration of epigenetic clocks. Researches are warranted to illuminate the underlying mechanisms and formulate strategies for potential interventions.
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