首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Intra-individual variation of miRNA expression levels in human plasma samples
Authors:Jie Wu  Hui Cai  Yong-Bing Xiang  Charles E Matthews  Fei Ye  Wei Zheng
Institution:1. Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA;2. Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China;3. Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA;4. Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
Abstract:Background: Circulating miRNAs as potential non-invasive biomarkers for disease risk assessment and cancer early diagnosis have attracted increasing interest. Little information, however, is available regarding the intra-individual variation of circulating miRNA levels.

Methods: We measured expression levels of a panel of 800 miRNAs in repeated plasma samples from 51 healthy individuals that were collected 6 to 12?months apart and evaluated the intra-individual variation by the intra-class correlation coefficient (ICC).

Results: After background correction, a total of 185 miRNAs were detected in at least 10% of the plasma samples, with 69 and 28 miRNAs being detected in 50% and 90% of samples, respectively. The median ICC was 0.46 for these 185 miRNAs. Among them, 41% (75 miRNAs) had an ICC?≥?0.5, and 23% (42 miRNAs) had an ICC?≥?0.6. The ICC is higher for miRNAs with higher expression levels or higher detection rates, when compared to those with lower expression levels or lower detection rates.

Conclusions: These results suggest that common circulating miRNAs are stable over a relatively long period and can serve as reliable biomarkers for epidemiological and clinical research.
Keywords:Circulating miRNA  intra-individual variation  intra-class correlation coefficient  biomarkers  epidemiology
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号