Search

A microphysiological system (MPS) is an in vitro culture technology that reproduces the physiological microenvironment and functionality of humans and is expected to be applied for drug screening. In this study, we developed an MPS for the structured culture of human iPSC-derived sensory neurons and then predicted drug-induced neurotoxicity by morphological deep learning. Using human iPSC-derived sensory neurons, after the administration of representative anti-cancer drugs, the toxic effects on soma and axons were evaluated by an AI model with neurite images. Significant toxicity was detected in positive drugs and could be classified by different effects on soma or axons, suggesting that the current method provides an effective evaluation of chemotherapy-induced peripheral neuropathy. The results of neurofilament light chain expression changes in the MPS device also agreed with clinical reports. Therefore, the present MPS combined with morphological deep learning is a useful platform for in vitro peripheral neurotoxicity assessment. [ABSTRACT FROM AUTHOR]

Addiction is known to occur through the consumption of substances such as pharmaceuticals, illicit drugs, food, alcohol and tobacco. These addictions can be viewed as drug addiction, resulting from the ingestion of chemical substances contained in them. Multiple neural networks, including the reward system, anti‐reward/stress system and central immune system in the brain, are believed to be involved in the onset of drug addiction. Although various compound evaluations using microelectrode array (MEA) as an in vitro testing methods to evaluate neural activities have been conducted, methods for assessing addiction have not been established. In this study, we aimed to develop an in vitro method for assessing the addiction of compounds, as an alternative to animal experiments, using human iPS cell‐derived dopaminergic neurons with MEA measurements. MEA data before and after chronic exposure revealed specific changes in addictive compounds compared to non‐addictive compounds, demonstrating the ability to estimate addiction of compound. Additionally, conducting gene expression analysis on cultured samples after the tests revealed changes in the expression levels of various receptors (nicotine, dopamine and GABA) due to chronic administration of addictive compounds, suggesting the potential interpretation of these expression changes as addiction‐like responses in MEA measurements. The addiction assessment method using MEA measurements in human iPS cell‐derived dopaminergic neurons conducted in this study proves effective in evaluating addiction of compounds on human neural networks. [ABSTRACT FROM AUTHOR]

Ensuring drug safety for patients with specific neurological disorders is of paramount importance. For instance, certain antiepileptic drugs (AEDs) are contraindicated in Dravet Syndrome (DS), which is characterized by a deficiency in Na+ channel function. Constructing in vitro assessment methods capable of detecting contraindicated drug responses and medication effects on neurons derived from DS patients is highly anticipated for drug safety assessment and therapeutic innovation. This study used micro electrode array (MEA) measurements with low-frequency analysis on human iPSC-derived DS organoids to investigate AED responses. When exposed to the contraindicated drugs carbamazepine and phenytoin, the number of network oscillations increased in DS organoids while maintaining oscillation intensity. Furthermore, carbamazepine administration appeared to enhance activities beyond oscillations which is partially consistent with findings in the DS mouse model. Conversely, treatment with the therapeutic drug sodium valproate resulted in a similar decrease in activity both in healthy and DS organoids. The frequency characteristics of spontaneous firings and AEDs responsiveness in DS organoids demonstrated partial correlation with typical electroencephalography patterns observed in vivo. In conclusion, this study, employing MEA measurements with low-frequency analysis, revealed contraindicated drug responses and disease-specific functional characteristics in DS organoids, effective for DS patient safety assessment, precision medicine, and antiepileptic drug screening. [ABSTRACT FROM AUTHOR]

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a major adverse event of anti-cancer drugs, which still lack standardized measurement and treatment methods. In the present study, we attempted to evaluate neuronal dysfunctions in cultured rodent primary peripheral neurons using a microelectrode array system. After exposure to typical anti-cancer drugs (i.e., paclitaxel, vincristine, oxaliplatin, and bortezomib), we successfully detected neurotoxicity in dorsal root ganglia neurons by measuring electrical activities, including impedance value and spontaneous activity. The impedance value decreased significantly for all compounds, even at low concentrations, which indicated cell loss and/or neurite degeneration. The spontaneous activity was also suppressed after exposure, which suggested neurotoxicity again. However, an acute response was observed for paclitaxel and bortezomib before toxicity, which showed different mechanisms based on compounds. Therefore, MEA measurement of impedance value could provide a simple assessment method for CIPN, combined with neuronal morphological changes. [ABSTRACT FROM AUTHOR]