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

Age-associated microRNA expression in human peripheral blood is associated with all-cause mortality and age-related traits.
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人外周血中与年龄相关的 microRNA 表达与全因死亡率和年龄相关特征相关。

DOI:
10.1111/acel.12687
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发表时间:
2018-03
期刊:
影响因子:
7.8
通讯作者:
Levy D
Levy D
中科院分区:
生物学1区
文献类型:
--
作者:
Huan T;Chen G;Liu C;Bhattacharya A;Rong J;Chen BH;Seshadri S;Tanriverdi K;Freedman JE;Larson MG;Murabito JM;Levy D

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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相关性的证据。 microRNA 表达与年龄和年龄相关临床结果的关系尚未得到彻底表征。我们探索了 5221 名成年人中年龄与全血 microRNA 表达的关联,并鉴定了 127 个 microRNA,它们因年龄而差异表达,P < 3.3 × 10−4(Bonferroni 校正)。大多数 microRNA 在老年人中表达不足。 microRNA 和 mRNA 表达的综合分析揭示了年龄相关 mRNA 表达的变化,可能是由涉及 RNA 加工、翻译和免疫功能的途径中与年龄相关的 microRNA 驱动的。我们拟合了一个线性模型来预测“microRNA 年龄”,其中包含 80 个 microRNA 的表达水平。 MicroRNA 年龄与 DNA 甲基化 (r = 0.3) 和 mRNA 表达 (r = 0.2) 预测的年龄适度相关,表明 microRNA 年龄可以补充 mRNA 和表观遗传年龄预测模型。我们使用 microRNA 年龄和实际年龄之间的差异作为加速衰老的生物标志物 (Δage),发现 Δage 与全因死亡率相关(每年差异的风险比为 1.1,根据性别和实际年龄调整后,P = 4.2 × 10−5)。此外,Δ年龄与冠心病、高血压、血压和血糖水平有关。总之,我们构建了基于全血 microRNA 表达谱的 microRNA 年龄预测模型。年龄相关的 microRNA 及其靶标具有检测加速衰老和预测年龄相关疾病风险的潜在用途。
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 < 3.3 × 10−4 (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.
DOI: 10.1161/atvbaha.114.305176
发表时间: 2015-04
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