Center for Nanotechnology and Nanotoxicology, HSPH-NIEHS Nanosafety Research Center, Department of Environmental Health, Harvard School of Public Health, Boston, MA, 02115, USA.
Department of Food Science, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Part Fibre Toxicol. 2017 Oct 13;14(1):40. doi: 10.1186/s12989-017-0221-5.
Engineered nanomaterials (ENMs) are increasingly added to foods to improve their quality, sensory appeal, safety and shelf-life. Human exposure to these ingested ENMs (iENMS) is inevitable, yet little is known of their hazards. To assess potential hazards, efficient in vitro methodologies are needed to evaluate particle biokinetics and toxicity. These methodologies must account for interactions and transformations of iENMs in foods (food matrix effect) and in the gastrointestinal tract (GIT) that are likely to determine nano-biointeractions. Here we report the development and application of an integrated methodology consisting of three interconnected stages: 1) assessment of iENM-food interactions (food matrix effect) using model foods; 2) assessment of gastrointestinal transformations of the nano-enabled model foods using a three-stage GIT simulator; 3) assessment of iENMs biokinetics and cellular toxicity after exposure to simulated GIT conditions using a triculture cell model. As a case study, a model food (corn oil-in-water emulsion) was infused with FeO (Iron(III) oxide or ferric oxide) ENMs and processed using this three-stage integrated platform to study the impact of food matrix and GIT effects on nanoparticle biokinetics and cytotoxicity .
A corn oil in phosphate buffer emulsion was prepared using a high speed blender and high pressure homogenizer. Iron oxide ENM was dispersed in water by sonication and combined with the food model. The resulting nano-enabled food was passed through a three stage (mouth, stomach and small intestine) GIT simulator. Size distributions of nano-enabled food model and digestae at each stage were analyzed by DLS and laser diffraction. TEM and confocal imaging were used to assess morphology of digestae at each phase. Dissolution of Fe2O3 ENM along the GIT was assessed by ICP-MS analysis of supernatants and pellets following centrifugation of digestae. An in vitro transwell triculture epithelial model was used to assess biokinetics and toxicity of ingested FeO ENM. Translocation of FeO ENM was determined by ICP-MS analysis of cell lysates and basolateral compartment fluid over time.
It was demonstrated that the interactions of iENMs with food and GIT components influenced nanoparticle fate and transport, biokinetics and toxicological profile. Large differences in particle size, charge, and morphology were observed in the model food with and without FeO and among digestae from different stages of the simulated GIT (mouth, stomach, and small intestine). Immunoflorescence and TEM imaging of the cell culture model revealed markers and morphology of small intestinal epithelium including enterocytes, goblet cells and M cells. FeO was not toxic at concentrations tested in the digesta. In biokinetics studies, translocation of FeO after 4 h was <1% and ~2% for digesta with and without serum, respectively, suggesting that use of serum proteins alters iENMs biokinetics and raises concerns about commonly-used approaches that neglect iENM - food-GIT interactions or dilute digestae in serum-containing media.
We present a simple integrated methodology for studying the biokinetics and toxicology of iENMs, which takes into consideration nanoparticle-food-GIT interactions. The importance of food matrix and GIT effects on biointeractions was demonstrated, as well as the incorporation of these critical factors into a cellular toxicity screening model. Standardized food models still need to be developed and used to assess the effect of the food matrix effects on the fate and bioactivity of iENMs since commercial foods vary considerably in their compositions and structures.
工程纳米材料(ENMs)越来越多地被添加到食品中,以提高其质量、感官吸引力、安全性和保质期。人们不可避免地会摄入这些摄入的 ENMs(iENMs),但对它们的危害知之甚少。为了评估潜在的危害,需要有效的体外方法来评估颗粒的生物动力学和毒性。这些方法必须考虑到食物(食物基质效应)和胃肠道(GIT)中 iENMs 的相互作用和转化,这些相互作用和转化可能决定纳米生物相互作用。在这里,我们报告了一种综合方法的开发和应用,该方法由三个相互关联的阶段组成:1)使用模型食品评估 iENM-食品相互作用(食物基质效应);2)使用三阶段 GIT 模拟器评估纳米增强模型食品的胃肠道转化;3)使用三培养细胞模型评估模拟 GIT 条件下暴露后 iENMs 的生物动力学和细胞毒性。作为一个案例研究,将一种模型食品(玉米油-水乳液)注入 FeO(三氧化二铁或氧化铁)ENMs 中,并使用这种三阶段综合平台进行处理,以研究食物基质和 GIT 效应对纳米颗粒生物动力学和细胞毒性的影响。
使用高速搅拌机和高压匀浆器制备玉米油-磷酸盐缓冲乳液。通过超声处理将氧化铁 ENM 分散在水中,并与食品模型结合。所得纳米增强食品通过三阶段(口腔、胃和小肠)GIT 模拟器。使用动态光散射(DLS)和激光衍射分析在每个阶段对纳米增强食品模型和消化物的粒径分布进行分析。使用 TEM 和共聚焦成像评估消化物在各阶段的形态。通过 ICP-MS 分析上清液和离心消化物后的沉淀物来评估 GIT 中 Fe2O3 ENM 的溶解情况。使用体外跨膜三培养上皮细胞模型评估摄入的 FeO ENM 的生物动力学和毒性。通过 ICP-MS 分析细胞裂解物和基底外侧隔室液随时间的变化来确定 FeO ENM 的迁移。
结果表明,iENMs 与食物和 GIT 成分的相互作用影响了纳米颗粒的命运和运输、生物动力学和毒理学特征。在有和没有 FeO 的模型食品以及模拟 GIT 不同阶段(口腔、胃和小肠)的消化物中,观察到颗粒大小、电荷和形态存在显著差异。细胞培养模型的免疫荧光和 TEM 成像显示了小肠上皮的标志物和形态,包括肠细胞、杯状细胞和 M 细胞。在测试浓度下,FeO 在消化物中没有毒性。在生物动力学研究中,4 小时后,血清存在和不存在时,FeO 的转移分别<1%和~2%,这表明使用血清蛋白改变了 iENMs 的生物动力学,并引发了对常用方法的关注,这些方法忽视了 iENM-食物-GIT 相互作用或在含血清的培养基中稀释消化物。
我们提出了一种用于研究 iENMs 生物动力学和毒理学的简单综合方法,该方法考虑了纳米颗粒-食物-GIT 相互作用。证明了食物基质和 GIT 效应对生物相互作用的重要性,以及将这些关键因素纳入细胞毒性筛选模型。由于商业食品在成分和结构上差异很大,因此仍需要开发和使用标准化的食品模型来评估食物基质对 iENMs 命运和生物活性的影响。