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Understanding and improving assays for cytotoxicity of nanoparticles: what really matters?

机译:了解和改善纳米颗粒细胞毒性的测定方法:真正重要的是什么?

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Despite years of excellent individual studies, the impact of nanoparticle (NP) cytotoxicity studies remains limited by inconsistent data collection and analysis. It is often unclear how exposure conditions can be used to determine cytotoxicity quantitatively. Discrepancies due to using different measurement conditions, readouts and controls to characterize NP interactions with cells lead to further challenges. To examine which parameters are critical in NP cytotoxicity studies, we have chosen to examine two NP types (liposomes and quantum dots) at different concentrations incubated with two primary vascular endothelial cells, HUVEC and HMVEC-C for a standard time of 24 h. We paid close attention to the effects of positive controls and cell association on interpretation of cytotoxicity data. Various cellular responses (ATP content, oxidative stress, mitochondrial toxicity, and phospholipidosis) were measured in parallel. Interestingly, cell association data varied significantly with the different image analyses. However, cytotoxicity responses could all be correlated with exposure concentration. Cell type did have an effect on cytotoxicity reports. Most significantly, NP cytotoxicity results varied with the inclusion or exclusion of positive controls. In the absence of positive controls, one tends to emphasize small changes in cell responses to NPs.
机译:尽管多年来进行了出色的个人研究,但纳米数据(NP)细胞毒性研究的影响仍然受到不一致的数据收集和分析的限制。经常不清楚如何使用暴露条件定量确定细胞毒性。由于使用不同的测量条件,读数和控制来表征NP与细胞的相互作用而导致的差异导致了进一步的挑战。为了检查哪些参数在NP细胞毒性研究中至关重要,我们选择了将两种浓度的NP类型(脂质体和量子点)与两种主要血管内皮细胞HUVEC和HMVEC-C孵育24小时的标准时间,以检查其浓度。我们密切关注阳性对照和细胞缔合对细胞毒性数据解释的影响。并行测量各种细胞反应(ATP含量,氧化应激,线粒体毒性和磷脂代谢)。有趣的是,细胞关联数据随着不同的图像分析而显着不同。但是,细胞毒性反应都可能与暴露浓度有关。细胞类型确实对细胞毒性报告有影响。最显着的是,NP细胞毒性结果随阳性对照的加入或排除而变化。在没有阳性对照的情况下,人们倾向于强调细胞对NPs反应的微小变化。

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