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Liver-specific microRNAs as biomarkers of nanomaterial-induced liver damage
Link to Journal Abstract
Although nanomaterials are being used in various fields, their safety is not yet sufficiently understood. We have been attempting to establish a nanomaterials safety-assessment system by using biomarkers to predict nanomaterial-induced adverse biological effects. Here, we focused on microRNAs (miRNAs) because of their tissue-specific expression and high degree of stability in the blood. We previously showed that high intravenous doses of silica nanoparticles of 70 nm diameter (nSP70) induced liver damage in mice. In this study, we compared the effectiveness of serum levels of liver-specific or -enriched miRNAs (miR-122, miR-192, and miR-194) with that of conventional hepatic biomarkers (alanine aminotransferase (ALT) and aspartate aminotransferase (AST)) as biomarkers for nSP70. After mice had been treated with nSP70, their serum miRNAs levels were measured by using quantitative RT-PCR. Serum levels of miR-122 in nSP70-treated mice were the highest among the three miRNAs. The sensitivity of miR-122 for liver damage was at least as good as those of ALT and AST. Like ALT and AST, miR-122 may be a useful biomarker of nSP70. We believe that these findings will help in the establishment of a nanomaterials safety-assessment system.
The authors have been attempting to establish a nanomaterials safety-assessment system by using biomarkers to predict nanomaterial-induced adverse biological effects. In this paper, they focus on microRNAs (miRNAs) because of their tissue-specific expression and high degree of stability in the blood.
Peer Reviewed Journal Article
Exposure Or Hazard Target
Method Of Study
Risk Exposure Group
Nanotechnology, 2013, 24(40): 405102 (8 pp)
Nagano T, Higashisaka K, Kuneida A, Iwahara Y, Tanaka K, Nagano K, Abe Y, Kamada H, Tsunoda S, Nabeshi H, Yoshikawa T, Yoshioka Y, Tsutsumi Y
405102 (8 pp)
Last updated on October 11, 2013
This work is supported in part by the Nanoscale Science and Engineering Initiative of the National Science Foundation
under NSF Award Number EEC-0118007.
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