Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning
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...
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MDPI AG
2024-11-01
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| Series: | Toxics |
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| author | Xiaobo Han Naoki Matsuda Makoto Yamanaka Ikuro Suzuki |
| author_facet | Xiaobo Han Naoki Matsuda Makoto Yamanaka Ikuro Suzuki |
| author_sort | Xiaobo Han |
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| description | 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. |
| format | Article |
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| institution | OA Journals |
| issn | 2305-6304 |
| language | English |
| publishDate | 2024-11-01 |
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| series | Toxics |
| spelling | doaj-art-ec2bea7e6c8f47b888507b47adbc664e2025-08-20T02:04:41ZengMDPI AGToxics2305-63042024-11-01121180910.3390/toxics12110809Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep LearningXiaobo Han0Naoki Matsuda1Makoto Yamanaka2Ikuro Suzuki3Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai 982-8577, JapanDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai 982-8577, JapanBusiness Creation Division Organs on Chip Project, Usio Inc., 1-6-5 Marunouchi, Chiyoda-ku, Tokyo 100-8150, JapanDepartment of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai 982-8577, JapanA 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.https://www.mdpi.com/2305-6304/12/11/809microphysiological systemhuman iPSC-derived sensory neuronmorphological deep learningperipheral neuropathy |
| spellingShingle | Xiaobo Han Naoki Matsuda Makoto Yamanaka Ikuro Suzuki Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning Toxics microphysiological system human iPSC-derived sensory neuron morphological deep learning peripheral neuropathy |
| title | Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning |
| title_full | Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning |
| title_fullStr | Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning |
| title_full_unstemmed | Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning |
| title_short | Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning |
| title_sort | development of a novel microphysiological system for peripheral neurotoxicity prediction using human ipsc derived neurons with morphological deep learning |
| topic | microphysiological system human iPSC-derived sensory neuron morphological deep learning peripheral neuropathy |
| url | https://www.mdpi.com/2305-6304/12/11/809 |
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