Toxicological evaluation of convulsant and anticonvulsant drugs in human induced pluripotent stem cell-derived cortical neuronal networks using an MEA system

• Published in: Scientific reports Vol. 8; no. 1; pp. 10416 - 11
• Main Authors: Odawara, A., Matsuda, N., Ishibashi, Y., Yokoi, R., Suzuki, I.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.07.2018; Nature Publishing Group
• Subjects: 13; 13/100; 631/154/570; 631/532/2182; 9/30; Anticonvulsants; Antiepileptic agents; Astrocytes; Cell culture; Convulsions; Drug development; Drugs; Epilepsy; Frequency analysis; Humanities and Social Sciences; multidisciplinary; Neural networks; Neural stem cells; Phenytoin; Pluripotency; Science; Science (multidisciplinary); Side effects; Stem cells; Toxicity
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-28835-7

Functional evaluation assays using human induced pluripotent stem cell (hiPSC)-derived neurons can predict the convulsion toxicity of new drugs and the neurological effects of antiepileptic drugs. However, differences in responsiveness depending on convulsant type and antiepileptic drugs, and an evaluation index capable of comparing in vitro responses with in vivo responses are not well known. We observed the difference in synchronized burst patterns in the epileptiform activities induced by pentylentetrazole (PTZ) and 4-aminopryridine (4-AP) with different action mechanisms using multi-electrode arrays (MEAs); we also observed that 100 µM of the antiepileptic drug phenytoin suppressed epileptiform activities induced by PTZ, but increased those induced by 4-AP. To compare in vitro results with in vivo convulsive responses, frequency analysis of below 250 Hz, excluding the spike component, was performed. The in vivo convulsive firing enhancement of the high γ wave and β wave component were observed remarkably in in vitro hiPSC-derived neurons with astrocytes in co-culture. MEA measurement of hiPSC-derived neurons in co-culture with astrocytes and our analysis methods, including frequency analysis, appear effective for predicting convulsion toxicity, side effects, and their mechanism of action as well as the comparison of convulsions induced in vivo .