Mancinelli, E, Takuma, M, Fujie, T et al. (1 more author) (2022) Recreating cellular barriers in human microphysiological systems in-vitro. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 11-15 Jul 2022, Glasgow, UK. IEEE , pp. 3923-3926. ISBN 978-1-7281-2783-5
Abstract
Within cellular barriers, cells are separated by basement membranes (BMs), nanometer-thick extracellular matrix layers. In existing in-vitro cellular-barrier models, cell-to-cell signaling can be preserved by culturing different cells in individual chambers separated by a semipermeable membrane. Their structure does not always replicate the BM thickness nor diffusion through it. Here, a porous polymeric nanofilm made of poly(D-L-lactic acid) (PDLLA) is proposed to recreate the BM in a microfluidic blood-brain-barrier model. Nanofilms showed an average thickness of 275 nm±25 nm and a maximum pore diameter of 1.6 μm . Human umbilical vein endothelial cells (HUVECs) were cultured on PDLLA. After 7 days, viability was >95% and cell morphology did not show relevant differences with HUVECs grown on control substrates. A protocol for suspending the nanofilm between 2 microfluidic chambers was identified and showed no leakage and good sealing. Clinical Relevance— Preclinical models of cellular barriers are a key step towards a deeper understanding of their roles in pathogenesis of various diseases: a physiologically relevant microfluidic model of the blood brain barrier (BBB) allows high-throughput investigations of BBB contribution in neurodegenerative diseases and cruelty-free screenings of drugs targeting the brain.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is protected by copyright. All rights reserved. This work is licensed under a Creative Commons Attribution 3.0 License. |
Keywords: | Protocols , Biological system modeling , Veins , Brain modeling , Physiology , Nanobioscience , Microfluidics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R511717/1 NC3Rs CRACKITEA-SP-3 UKRI (UK Research and Innovation) Not Known Wellcome Trust 219420/Z/19/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Mar 2023 16:39 |
Last Modified: | 02 Mar 2023 16:39 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/embc48229.2022.9870981 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196927 |