In Vitro Safety Pharmacology, Merck & Co., Inc., Rahway, NJ, USA.
Preclinical Safety, Sanofi R&D, Montpellier, France.
J Pharmacol Toxicol Methods. 2023 Sep-Oct;123:107281. doi: 10.1016/j.vascn.2023.107281. Epub 2023 Jun 29.
Human induced Pluripotent Stem Cell (hiPSC) derived neural cells offer great potential for modelling neurological diseases and toxicities and have found application in drug discovery and toxicology. As part of the European Innovative Medicines Initiative (IMI2) NeuroDeRisk (Neurotoxicity De-Risking in Preclinical Drug Discovery), we here explore the Ca oscillation responses of 2D and 3D hiPSC derived neuronal networks of mixed Glutamatergic/GABAergic activity with a compound set encompassing both clinically as well as experimentally determined seizurogenic compounds. Both types of networks are scored against Ca responses of a primary mouse cortical neuronal 2D network model serving as an established comparator assay. Parameters of frequency and amplitude of spontaneous global network Ca oscillations and the drug-dependent directional changes to these were assessed, and predictivity of seizurogenicity scored using contingency table analysis. In addition, responses between models were compared between both 2D models as well as between 2D and 3D models. Concordance of parameter responses was best between the hiPSC neurospheroid and the mouse primary cortical neuron model (77% for frequency and 65% for amplitude). Decreases in spontaneous Ca oscillation frequency and amplitude were found to be the most basic shared determinants of risk of seizurogenicity between the mouse and the neurospheroid model based on testing of clinical compounds with documented seizurogenic activity. Increases in spontaneous Ca oscillation frequency were primarily observed with the 2D hIPSC model, though the specificity of this effect to seizurogenic clinical compounds was low (33%), while decreases to spike amplitude in this model were more predictive of seizurogenicity. Overall predictivities of the models were similar, with sensitivity of the assays typically exceeding specificity due to high false positive rates. Higher concordance of the hiPSC 3D model over the 2D model when compared to mouse cortical 2D responses may be the result of both a longer maturation time of the neurospheroid (84-87 days for 3D vs. 22-24 days for 2D maturation) as well as the 3-dimensional nature of network connections established. The simplicity and reproducibility of spontaneous Ca oscillation readouts support further investigation of hiPSC derived neuronal sources and their 2- and 3-dimensional networks for neuropharmacological safety screening.
人诱导多能干细胞(hiPSC)衍生的神经细胞为模拟神经疾病和毒性提供了巨大的潜力,并已应用于药物发现和毒理学。作为欧洲创新药物倡议(IMI2)NeuroDeRisk(临床前药物发现中的神经毒性风险降低)的一部分,我们在这里探索了包含临床和实验确定的致惊厥化合物的化合物集对具有混合谷氨酸能/GABA 能活性的二维和三维 hiPSC 衍生神经元网络的钙振荡反应。这两种类型的网络都针对作为既定比较测定的原代小鼠皮质神经元二维网络模型的钙反应进行评分。评估了自发全网络钙振荡的频率和幅度参数以及这些参数对药物的依赖性变化,并使用列联表分析对致惊厥性进行预测评分。此外,还比较了两种二维模型之间以及二维和三维模型之间的模型之间的反应。hiPSC 神经球状体与小鼠原代皮质神经元模型之间的参数反应一致性最好(频率为 77%,幅度为 65%)。基于对具有已知致惊厥活性的临床化合物的测试,发现自发钙振荡频率和幅度的降低是基于小鼠和神经球状体模型的致惊厥性风险的最基本共同决定因素。自发钙振荡频率的增加主要发生在二维 hiPSC 模型中,尽管这种效应对临床致惊厥化合物的特异性较低(33%),而在该模型中,自发钙振荡幅度的降低更能预测致惊厥性。总体而言,模型的预测能力相似,由于假阳性率高,测定的敏感性通常超过特异性。与小鼠皮质二维反应相比,hiPSC 3D 模型的一致性更高,可能是由于神经球状体的成熟时间更长(3D 为 84-87 天,2D 为 22-24 天)以及建立的网络连接的三维性质所致。自发钙振荡读数的简单性和可重复性支持进一步研究 hiPSC 衍生神经元来源及其 2 维和 3 维网络,以进行神经药理学安全性筛选。