Molecular Devices LLC, San Jose, California 95134.
Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Toxicol Sci. 2019 Jan 1;167(1):58-76. doi: 10.1093/toxsci/kfy218.
Neurological disorders affect millions of people worldwide and appear to be on the rise. Whereas the reason for this increase remains unknown, environmental factors are a suspected contributor. Hence, there is an urgent need to develop more complex, biologically relevant, and predictive in vitro assays to screen larger sets of compounds with the potential for neurotoxicity. Here, we employed a human induced pluripotent stem cell (iPSC)-based 3D neural platform composed of mature cortical neurons and astrocytes as a model for this purpose. The iPSC-derived human 3D cortical neuron/astrocyte co-cultures (3D neural cultures) present spontaneous synchronized, readily detectable calcium oscillations. This advanced neural platform was optimized for high-throughput screening in 384-well plates and displays highly consistent, functional performance across different wells and plates. Characterization of oscillation profiles in 3D neural cultures was performed through multi-parametric analysis that included the calcium oscillation rate and peak width, amplitude, and waveform irregularities. Cellular and mitochondrial toxicity were assessed by high-content imaging. For assay characterization, we used a set of neuromodulators with known mechanisms of action. We then explored the neurotoxic profile of a library of 87 compounds that included pharmaceutical drugs, pesticides, flame retardants, and other chemicals. Our results demonstrated that 57% of the tested compounds exhibited effects in the assay. The compounds were then ranked according to their effective concentrations based on in vitro activity. Our results show that a human iPSC-derived 3D neural culture assay platform is a promising biologically relevant tool to assess the neurotoxic potential of drugs and environmental toxicants.
神经系统疾病影响着全球数百万人,且发病率似乎呈上升趋势。尽管其增加的原因尚不清楚,但环境因素是一个可疑的致病因素。因此,迫切需要开发更复杂、更具生物学相关性和预测性的体外检测方法,以筛选具有神经毒性的化合物。在这里,我们采用了由成熟皮质神经元和星形胶质细胞组成的人诱导多能干细胞(iPSC)3D 神经平台,作为该模型的一种手段。iPSC 衍生的人类 3D 皮质神经元/星形胶质细胞共培养物(3D 神经培养物)表现出自发的同步、易于检测的钙振荡。该先进的神经平台经过优化,可用于 384 孔板中的高通量筛选,并在不同的孔和板中显示出高度一致、功能一致的性能。通过包括钙振荡率和峰宽、振幅和波形不规则在内的多参数分析,对 3D 神经培养物的振荡谱进行了表征。通过高内涵成像评估细胞和线粒体毒性。为了进行检测特性分析,我们使用了一组具有已知作用机制的神经调节剂。然后,我们研究了包含药物、农药、阻燃剂和其他化学物质的 87 种化合物库的神经毒性特征。结果表明,在检测中,57%的受试化合物显示出了作用。然后根据其基于体外活性的有效浓度对化合物进行了排名。我们的结果表明,人 iPSC 衍生的 3D 神经培养物测定平台是一种有前途的生物学相关工具,可用于评估药物和环境毒物的神经毒性潜力。