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In Situ Detection of Neuroinflammation Using Multicellular 3D Neurovascular‐Unit‐on‐a‐Chip
The human neurovascular system is a complex network of blood vessels and brain cells that is essential to the proper functioning of the brain. Researchers have become increasingly interested in the system for developing drugs to treat neuroinflammation. Currently, creating neurovascular models begin...
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Published in: | Advanced functional materials 2023-11, Vol.33 (46) |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The human neurovascular system is a complex network of blood vessels and brain cells that is essential to the proper functioning of the brain. Researchers have become increasingly interested in the system for developing drugs to treat neuroinflammation. Currently, creating neurovascular models begins with animal models, followed by testing on humans in clinical trials. However, the high number of medication failures that pass through animal testing indicates that animal models do not always reflect the outcome of human clinical trials. To overcome the challenges of the issues with animal models, a neurovascular‐unit‐on‐a‐chip system is developed to accurately replicate the in vivo human neurovascular microenvironment. By replicating the human neurovascular unit, a more accurate representation of human physiology can be achieved compared to animal models. The ability to detect proinflammatory cytokines in situ and monitor physiological changes can provide an invaluable tool for evaluating the efficacy and safety of drugs. Using nanosized graphene oxide for in situ detection of inflammatory responses is an innovative approach that can advance the field of neuroinflammation research. Overall, the developed neuroinflammation‐on‐a‐chip system has the potential to provide a more efficient and effective method for developing drugs for treating neurodegenerative diseases and other central nervous system diseases. |
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ISSN: | 1616-301X 1616-3028 |
DOI: | 10.1002/adfm.202304382 |