Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications
There is an urgent need for predictive in vitro models to improve disease modeling and drug target identification and validation, especially for neurological disorders. Cerebral organoids, as alternative methods to in vivo studies, appear now as powerful tools to decipher complex biological processe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Pharmaceutics |
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| Online Access: | https://www.mdpi.com/1999-4923/14/11/2301 |
| _version_ | 1797466827354275840 |
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| author | Héloïse Castiglione Pierre-Antoine Vigneron Camille Baquerre Frank Yates Jessica Rontard Thibault Honegger |
| author_facet | Héloïse Castiglione Pierre-Antoine Vigneron Camille Baquerre Frank Yates Jessica Rontard Thibault Honegger |
| author_sort | Héloïse Castiglione |
| collection | DOAJ |
| description | There is an urgent need for predictive in vitro models to improve disease modeling and drug target identification and validation, especially for neurological disorders. Cerebral organoids, as alternative methods to in vivo studies, appear now as powerful tools to decipher complex biological processes thanks to their ability to recapitulate many features of the human brain. Combining these innovative models with microfluidic technologies, referred to as brain organoids-on-chips, allows us to model the microenvironment of several neuronal cell types in 3D. Thus, this platform opens new avenues to create a relevant in vitro approach for preclinical applications in neuroscience. The transfer to the pharmaceutical industry in drug discovery stages and the adoption of this approach by the scientific community requires the proposition of innovative microphysiological systems allowing the generation of reproducible cerebral organoids of high quality in terms of structural and functional maturation, and compatibility with automation processes and high-throughput screening. In this review, we will focus on the promising advantages of cerebral organoids for disease modeling and how their combination with microfluidic systems can enhance the reproducibility and quality of these in vitro models. Then, we will finish by explaining why brain organoids-on-chips could be considered promising platforms for pharmacological applications. |
| first_indexed | 2024-03-09T18:45:10Z |
| format | Article |
| id | doaj.art-8bde374b2a47425dbe2a07653ff7b0a1 |
| institution | Directory Open Access Journal |
| issn | 1999-4923 |
| language | English |
| last_indexed | 2024-03-09T18:45:10Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Pharmaceutics |
| spelling | doaj.art-8bde374b2a47425dbe2a07653ff7b0a12023-11-24T06:19:56ZengMDPI AGPharmaceutics1999-49232022-10-011411230110.3390/pharmaceutics14112301Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical ApplicationsHéloïse Castiglione0Pierre-Antoine Vigneron1Camille Baquerre2Frank Yates3Jessica Rontard4Thibault Honegger5NETRI, 69007 Lyon, FranceSup’Biotech/CEA-IBFJ-SEPIA, Bâtiment 60, 18 Route du Panorama, 94260 Fontenay-aux-Roses, FranceNETRI, 69007 Lyon, FranceSup’Biotech/CEA-IBFJ-SEPIA, Bâtiment 60, 18 Route du Panorama, 94260 Fontenay-aux-Roses, FranceNETRI, 69007 Lyon, FranceNETRI, 69007 Lyon, FranceThere is an urgent need for predictive in vitro models to improve disease modeling and drug target identification and validation, especially for neurological disorders. Cerebral organoids, as alternative methods to in vivo studies, appear now as powerful tools to decipher complex biological processes thanks to their ability to recapitulate many features of the human brain. Combining these innovative models with microfluidic technologies, referred to as brain organoids-on-chips, allows us to model the microenvironment of several neuronal cell types in 3D. Thus, this platform opens new avenues to create a relevant in vitro approach for preclinical applications in neuroscience. The transfer to the pharmaceutical industry in drug discovery stages and the adoption of this approach by the scientific community requires the proposition of innovative microphysiological systems allowing the generation of reproducible cerebral organoids of high quality in terms of structural and functional maturation, and compatibility with automation processes and high-throughput screening. In this review, we will focus on the promising advantages of cerebral organoids for disease modeling and how their combination with microfluidic systems can enhance the reproducibility and quality of these in vitro models. Then, we will finish by explaining why brain organoids-on-chips could be considered promising platforms for pharmacological applications.https://www.mdpi.com/1999-4923/14/11/2301brain organoid-on-chippredictive human based in vitro modelsstandardizationreproducibilityneurotoxicity |
| spellingShingle | Héloïse Castiglione Pierre-Antoine Vigneron Camille Baquerre Frank Yates Jessica Rontard Thibault Honegger Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications Pharmaceutics brain organoid-on-chip predictive human based in vitro models standardization reproducibility neurotoxicity |
| title | Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications |
| title_full | Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications |
| title_fullStr | Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications |
| title_full_unstemmed | Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications |
| title_short | Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications |
| title_sort | human brain organoids on chip advances challenges and perspectives for preclinical applications |
| topic | brain organoid-on-chip predictive human based in vitro models standardization reproducibility neurotoxicity |
| url | https://www.mdpi.com/1999-4923/14/11/2301 |
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