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Age‐associated microRNA expression in human peripheral blood is associated with all‐cause mortality and age‐related traits

机译:人类外周血中与年龄相关的microRNA表达与全因死亡率和与年龄相关的特征有关

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Summary Recent studies provide evidence of correlations of DNA methylation and expression of protein-coding genes with human aging. The relations of microRNA expression with age and age-related clinical outcomes have not been characterized thoroughly. We explored associations of age with whole-blood microRNA expression in 5221 adults and identified 127 microRNAs that were differentially expressed by age at P ?4 (Bonferroni-corrected). Most microRNAs were underexpressed in older individuals. Integrative analysis of microRNA and mRNA expression revealed changes in age-associated mRNA expression possibly driven by age-associated microRNAs in pathways that involve RNA processing, translation, and immune function. We fitted a linear model to predict ‘microRNA age’ that incorporated expression levels of 80 microRNAs. MicroRNA age correlated modestly with predicted age from DNA methylation ( r = 0.3) and mRNA expression ( r = 0.2), suggesting that microRNA age may complement mRNA and epigenetic age prediction models. We used the difference between microRNA age and chronological age as a biomarker of accelerated aging (Δage) and found that Δage was associated with all-cause mortality (hazards ratio 1.1 per year difference, P = 4.2?×?10?5 adjusted for sex and chronological age). Additionally, Δage was associated with coronary heart disease, hypertension, blood pressure, and glucose levels. In conclusion, we constructed a microRNA age prediction model based on whole-blood microRNA expression profiling. Age-associated microRNAs and their targets have potential utility to detect accelerated aging and to predict risks for age-related diseases.
机译:总结最近的研究提供了DNA甲基化和蛋白质编码基因表达与人类衰老之间的相关性证据。 microRNA表达与年龄和与年龄相关的临床结局之间的关系尚未彻底表征。我们探讨了5221名成年人中年龄与全血microRNA表达之间的关系,并鉴定了127个在年龄在P?4 (经Bonferroni校正)差异表达的microRNA。大多数microRNA在老年人中表达不足。对microRNA和mRNA表达的综合分析显示,与年龄相关的microRNA在涉及RNA加工,翻译和免疫功能的途径中可能由与年龄相关的microRNA驱动而发生了变化。我们拟合了一个线性模型来预测结合了80种microRNA表达水平的“ microRNA年龄”。 MicroRNA年龄与DNA甲基化(r = 0.3)和mRNA表达(r = 0.2)的预测年龄适度相关,这表明microRNA年龄可能与mRNA和表观遗传年龄预测模型互补。我们将microRNA年龄与年代年龄之间的差异用作加速衰老的生物标志物(Δage),发现Δage与全因死亡率相关(每年危险比1.1,P = 4.2?×?10 ?5 (根据性别和年龄顺序进行调整)。此外,Δage与冠心病,高血压,血压和葡萄糖水平有关。总之,我们基于全血microRNA表达谱构建了microRNA年龄预测模型。与年龄相关的microRNA及其靶标具有检测加速衰老和预测与年龄相关疾病的风险的潜在用途。

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