Brain organoids with three-dimensional structure and tissue-like function are highly demanded for brain disease research and drug evaluation. However, to our knowledge, methods for measuring and analyzing brain organoid function have not been developed yet. This study focused on the frequency components of an obtained waveform below 500 Hz using planner microelectrode array (MEA) and evaluated the response to the convulsants pentylenetetrazol (PTZ) and strychnine as well as the antiepileptic drugs (AEDs) perampanel and phenytoin. Sudden and persistent seizure-like firing was observed with PTZ administration, displaying a concentration-dependent periodic activity with the frequency component enhanced even in one oscillation characteristic. On the other hand, in the administration of AEDs, the frequency of oscillation decreased in a concentration-dependent manner and the intensity of the frequency component in one oscillation also decreased. Interestingly, at low doses of phenytoin, a group of synchronized bursts was formed, which was different from the response to the perampanel. Frequency components contained information on cerebral organoid function, and MEA was proven useful in predicting the seizure liability of drugs and evaluating the effect of AEDs with a different mechanism of action. In addition, frequency component analysis of brain organoids using MEA is an important analysis method to perform in vitro to in vivo extrapolation in the future, which will help explore the function of the organoid itself, study human brain developments, and treat various brain diseases.
Drug-induced peripheral neuropathy occurs as an adverse reaction of chemotherapy. However, a highly accurate method for assessing peripheral neuropathy and pain caused by compounds has not been established. The use of human induced pluripotent stem cell (hiPSC)-derived sensory neurons does not require animal experiments, and it is considered an effective method that can approach extrapolation to humans. In this study, we evaluated the response to pain-related compounds based on neural activities using in vitro microelectrode array (MEA) measurements in hiPSC-derived sensory neurons. Cultured sensory neurons exhibited gene expression of the Nav1.7, TRPV1, TRPA1, and TRPM8 channels, which are typical pain-related channels. Channel-dependent evoked responses were detected using the TRPV1 agonist capsaicin, a TRPA1 agonist, allyl isothiocyanate (AITC), and TRPM8 agonist menthol. In addition, the firing frequency increased with an increase in temperature from 37 °C to 46 °C, and temperature sensitivity was observed. In addition, the temperature of the peak firing rate differed among individual neurons. Next, we focused on the increase in cold sensitivity, which is a side effect of the anti-cancer drug oxaliplatin, and evaluated the response to AITC in the presence and absence of oxaliplatin. The response to AITC increased in the presence of oxaliplatin in a concentration-dependent manner, suggesting that the increased cold sensitivity in humans can be reproduced in cultured hiPSC-derived sensory neurons. The in vitro MEA system using hiPSC-derived sensory neurons is an alternative method to animal experiments, and it is anticipated as a method for evaluating peripheral neuropathy and pain induced by compounds.
Field Potential Imaging Technology In article number 2207732, Ikuro Suzuki and co‐workers demonstrate a large area field potential imaging technology using a complementary metal–oxide–semiconductor (CMOS)‐microelectrode array (MEA), and present single‐cell‐level neural activity analysis of brain slices, human iPS cell‐derived cortical networks, peripheral neurons, and human brain organoids. This detailed analysis provides new insights on underlying neuronal function.
The electrophysiological technology having a high spatiotemporal resolution at the single‐cell level and noninvasive measurements of large areas provide insights on underlying neuronal function. Here, a complementary metal‐oxide semiconductor (CMOS)‐microelectrode array (MEA) is used that uses 236 880 electrodes each with an electrode size of 11.22 × 11.22 µm and 236 880 covering a wide area of 5.5 × 5.9 mm in presenting a detailed and single‐cell‐level neural activity analysis platform for brain slices, human iPS cell‐derived cortical networks, peripheral neurons, and human brain organoids. Propagation pattern characteristics between brain regions changes the synaptic propagation into compounds based on single‐cell time‐series patterns, classification based on single DRG neuron firing patterns and compound responses, axonal conduction characteristics and changes to anticancer drugs, and network activities and transition to compounds in brain organoids are extracted. This detailed analysis of neural activity at the single‐cell level using the CMOS‐MEA provides a new understanding of the basic mechanisms of brain circuits in vitro and ex vivo, on human neurological diseases for drug discovery, and compound toxicity assessment.
The electrophysiological technology having a high spatio-temporal resolution at the single-cell level, and noninvasive measurements of large areas provides insights on underlying neuronal function. Here, we used a complementary metal-oxide semiconductor (CMOS)-microelectrode array (MEA) that uses 236,880 electrodes each with an electrode size of 11.22 × 11.22 µm and 236,880 covering a wide area of 5.5 × 5.7 mm in presenting a detailed and single-cell-level neural activity analysis platform for brain slices, human iPS cell-derived cortical networks, peripheral neurons, and human brain organoids. Propagation pattern characteristics between brain regions changes the synaptic strength into compounds based on single-cell time-series patterns, classification based on single DRG neuron firing patterns and compound responses, axonal conduction characteristics and changes to anticancer drugs, and network activities and transition to compounds in brain organoids were extracted. This detailed analysis of neural activity at the single-cell level using our CMOS-MEA provides a new understanding the basic mechanisms of brain circuits in vitro and ex vivo, on human neurological diseases for drug discovery, and compound toxicity assessment.
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