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Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food.

ABSTRACT: Insight into risks of nanotechnology and the use of nanoparticles is an essential condition for the social acceptance and safe use of nanotechnology. One of the problems with which the risk assessment of nanoparticles is faced is the lack of data, resulting in uncertainty in the risk assessment. We attempt to quantify some of this uncertainty by expanding a previous deterministic study on nanosilica (5-200 nm) in food into a fully integrated probabilistic risk assessment. We use the integrated probabilistic risk assessment method in which statistical distributions and bootstrap methods are used to quantify uncertainty and variability in the risk assessment. Due to the large amount of uncertainty present, this probabilistic method, which separates variability from uncertainty, contributed to a better understandable risk assessment. We found that quantifying the uncertainties did not increase the perceived risk relative to the outcome of the deterministic study. We pinpointed particular aspects of the hazard characterization that contributed most to the total uncertainty in the risk assessment, suggesting that further research would benefit most from obtaining more reliable data on those aspects.

SUBMITTER: Jacobs R

PROVIDER: S-EPMC4457916 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food.

Jacobs Rianne R van der Voet Hilko H Ter Braak Cajo J F CJ

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology 20150606 6

Insight into risks of nanotechnology and the use of nanoparticles is an essential condition for the social acceptance and safe use of nanotechnology. One of the problems with which the risk assessment of nanoparticles is faced is the lack of data, resulting in uncertainty in the risk assessment. We attempt to quantify some of this uncertainty by expanding a previous deterministic study on nanosilica (5-200 nm) in food into a fully integrated probabilistic risk assessment. We use the integrated p ...[more]

PMID: 26074726

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Project description:Acetamide (CAS 60-35-5) is detected in common foods including milk, eggs, beef, and roasted coffee beans. Chronic rodent bioassays using high doses (≥1000 mg/kg/day) suggest acetamide is a group 2B possible human carcinogen due to the induction of liver tumors. Weight-of-evidence indicates acetamide is not genotoxic, and therefore a threshold response is expected. We used a toxicogenomics approach in Wistar rats gavaged daily for 7 and 28 days to determine the benchmark dose (BMD), and investigate its mode of action from differential gene expression. Two exposure experiements were carried out in succsession. An initial dose range finding experiment used male Wistar rats gavaged daily for 7 days at 0, 30, 100, 300 and 1000 mg/kd/day. A second experiment used both male and female Wistar rats exposed for 7 and 28 days to 0, 300,500,750,1000 and 1500 mg/kg/day. No treatment related changes in terminal body weight, clinical chemistry, or histopathology were observed at doses of 30, 100, or 300 mkd. At 1000 mkd, the dose reported to elicit carcinogenesis, liver weights decreased 1.3-fold with the presence of single cell necrosis, hepatocyte vacuolization, and increased mitotic activity consistent with a 4.2 fold increase in the cell proliferation index. Accordingly, plasma ALT and AST were increased 2.0- and 2.2-fold, respectively. RNA-Seq analysis identified 1 differentially expressed gene at 300 mkd, and 2,685 at 1000 mkd (|fold-change| ≥ 1.5 and FDR ≤ 0.05). Down-regulated genes were associated with lipid metabolism while up-regulated genes included cell signaling, immune response, and cell cycle functions. Collectively, these results revealed a no-observable adverse effect level (NOAEL) and no-observed-transcriptional effect level (NOTEL) at 300 mkd, warranting further investigation at doses between 300 and 1000 mkd to identify the benchmark dose (BMD). Functional enrichment indicates perturbation of cell cycle and lipid metabolism, though a more refined dose-response evaluation will be needed to demonstrate dose-dependent effects related to the MOA of acetamide. Funding by the Bill and Melinda Gates Foundation (OPP1142801).

Dataset Information

Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food.

Publications

Integrated probabilistic risk assessment for nanoparticles: the case of nanosilica in food.

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