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人类血浆和血清细胞外小分子 RNA 参考图谱及其临床应用。

Human plasma and serum extracellular small RNA reference profiles and their clinical utility.

机构信息

Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065.

Laboratory for RNA Molecular Biology, The Rockefeller University, New York, NY 10065.

出版信息

Proc Natl Acad Sci U S A. 2018 Jun 5;115(23):E5334-E5343. doi: 10.1073/pnas.1714397115. Epub 2018 May 18.

Abstract

Circulating extracellular RNAs (exRNAs) have the potential to serve as biomarkers for a wide range of medical conditions. However, limitations in existing exRNA isolation methods and a lack of knowledge on parameters affecting exRNA variability in human samples may hinder their successful discovery and clinical implementation. Using combinations of denaturants, reducing agents, proteolysis, and revised organic extraction, we developed an automated, high-throughput approach for recovery of exRNAs and exDNA from the same biofluid sample. We applied this method to characterize exRNAs from 312 plasma and serum samples collected from 13 healthy volunteers at 12 time points over a 2-month period. Small RNA cDNA library sequencing identified nearly twofold increased epithelial-, muscle-, and neuroendocrine-cell-specific miRNAs in females, while fasting and hormonal cycle showed little effect. External standardization helped to detect quantitative differences in erythrocyte and platelet-specific miRNA contributions and in miRNA concentrations between biofluids. It also helped to identify a study participant with a unique exRNA phenotype featuring a miRNA signature of up to 20-fold elevated endocrine-cell-specific miRNAs and twofold elevated total miRNA concentrations stable for over 1 year. Collectively, these results demonstrate an efficient and quantitative method to discern exRNA phenotypes and suggest that plasma and serum RNA profiles are stable over months and can be routinely monitored in long-term clinical studies.

摘要

循环细胞外 RNA(exRNA)有可能成为广泛医学状况的生物标志物。然而,现有的 exRNA 分离方法存在局限性,并且对人体样本中影响 exRNA 可变性的参数缺乏了解,这可能会阻碍它们的成功发现和临床应用。我们使用变性剂、还原剂、蛋白水解和修订后的有机提取组合,开发了一种从同一样本中同时回收 exRNA 和 exDNA 的自动化高通量方法。我们将该方法应用于从 13 名健康志愿者在两个月的时间内 12 个时间点采集的 312 个血浆和血清样本中,对 exRNA 进行了特征分析。小 RNA cDNA 文库测序鉴定出女性中上皮细胞、肌肉细胞和神经内分泌细胞特异性 miRNA 的含量增加了近两倍,而禁食和激素周期的影响较小。外部标准化有助于检测红细胞和血小板特异性 miRNA 贡献以及不同生物流体之间 miRNA 浓度的定量差异。它还有助于鉴定出一名研究参与者,该参与者具有独特的 exRNA 表型,其特征是内分泌细胞特异性 miRNA 增加了 20 倍,总 miRNA 浓度增加了两倍,且这种表型稳定超过 1 年。总的来说,这些结果表明了一种高效且定量的方法来区分 exRNA 表型,并表明血浆和血清 RNA 谱在数月内是稳定的,可以在长期临床研究中常规监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2fa/6003356/b3f68a776ac8/pnas.1714397115fig01.jpg

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