ArticleFrontiers in neuroscience2022
Analyzing pericytes under mild traumatic brain injury using 3D cultures and dielectric elastomer actuators.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Design and Characterization of an Equibiaxial Multi-Electrode Dielectric Elastomer Actuator.Materials (Basel, Switzerland) · 2025Article
- Nervous System Response to Neurotrauma: A Narrative Review of Cerebrovascular and Cellular Changes After Neurotrauma.Journal of molecular neuroscience : MN · 2024Review
- Soft bioreactor systems: a necessary step toward engineered MSK soft tissue?Frontiers in robotics and AI · 2024Review
- The Integration of Optical Stimulation in a Mechanically Dynamic Cell Culture Substrate.Frontiers in bioengineering and biotechnology · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) is defined as brain damage due to an external force that negatively impacts brain function. Up to 90% of all TBI are considered in the mild severity range (mTBI) but there is still no therapeutic solution available. Therefore, further understanding of the mTBI pathology is required. To assist with this understanding, we developed a cell injury device (CID) based on a dielectric elastomer actuator (DEA), which is capable of modeling mTBI via injuring cultured cells with mechanical stretching. Our injury model is the first to use patient-derived brain pericyte cells, which are ubiquitous cells in the brain involved in injury response. Pericytes were cultured in our CIDs and mechanically strained up to 40%, and by at least 20%, prior to gene expression analysis. Our injury model is a platform capable of culturing and stretching primary human brain pericytes. The heterogeneous response in gene expression changes in our result may suggest that the genes implicated in pathological changes after mTBI could be a patient-dependent response, but requires further validation. The results of this study demonstrate that our CID is a suitable tool for simulating mTBI as an
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