a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
b Cancer Registry of Norway , Institute of Population-based Cancer Research , Oslo , Norway.
RNA Biol. 2017 Dec 2;14(12):1791-1798. doi: 10.1080/15476286.2017.1367888. Epub 2017 Sep 13.
An increasing number of studies propose circulating microRNAs (miRNAs) as biomarkers for a large number of human diseases including cancer, cardiovascular diseases, neurologic pathologies and others. To further validate miRNA as biomarkers it is indispensable to understand the variability of circulating miRNAs in healthy individuals. We determined the longitudinal miRNomes of 90 serum samples from the Janus Serum Bank in Norway, which have been stored between 23 and 40 y at -25 °Celsius. We profiled 3 serum samples with microarrays for 30 individuals, each. For each individual the samples were collected with a time interval of approximately 5 y. This design allowed insights into inter-individual variability, age dependent miRNA variability and the impact of storage length and pre-processing. A significant proportion of the miRNome was affected by the age of the blood donor and a not negligible, albeit small, part of the miRNome by the storage time. A substantial part of miRNAs was differentially abundant between individuals, independent of the time when samples were collected. Stepwise filtering of the 529 miRNAs that were detected in the serum samples showed 168 miRNAs with differential abundance depending on the time point analyzed, 56 miRNAs differentially abundant between individuals, and 169 miRNAs with an abundance depending on the sampling procedure. While these groups of miRNAs contain generally interesting and biologically important miRNAs, the remaining 135 miRNAs constitute very promising biomarker candidates as they show an overall low variability between healthy individuals, a likewise overall low variability across a longer life span, and a high independence of the sampling process and the storage length.
越来越多的研究提出循环 microRNAs(miRNAs)可作为包括癌症、心血管疾病、神经病理学等在内的多种人类疾病的生物标志物。为了进一步验证 miRNA 作为生物标志物的可行性,了解健康个体中循环 miRNAs 的变异性是必不可少的。我们确定了来自挪威 Janus 血清库的 90 份血清样本的纵向 miRNomes,这些样本在-25°C 下储存了 23 到 40 年。我们使用微阵列对 30 个人中的 3 个血清样本进行了分析。对于每个人,样本的采集时间间隔约为 5 年。这种设计使我们能够深入了解个体间的变异性、年龄相关的 miRNA 变异性以及储存时间和预处理的影响。miRNome 的很大一部分受献血者年龄的影响,而 miRNome 的一小部分(虽然微不足道)则受储存时间的影响。相当一部分 miRNA 在个体之间存在差异丰度,而与样本采集时间无关。对在血清样本中检测到的 529 个 miRNA 进行逐步过滤,显示出 168 个 miRNA 随分析的时间点而存在差异丰度,56 个 miRNA 在个体之间存在差异丰度,169 个 miRNA 的丰度取决于采样程序。虽然这些 miRNA 组包含一般有趣且具有生物学意义的 miRNA,但其余 135 个 miRNA 构成了非常有前途的生物标志物候选物,因为它们在健康个体之间表现出总体较低的变异性,在更长的寿命跨度内也表现出总体较低的变异性,并且采样过程和储存长度的独立性很高。