Hydrogel-assisted neuroregeneration approaches towards brain injury therapy: A state-of-the-art review

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dc.contributor.author Kornev, Vladimir A.
dc.contributor.author Grebenik, Ekaterina A.
dc.contributor.author Solovieva, Anna B.
dc.contributor.author Dmitriev, Ruslan I.
dc.contributor.author Timashev, Peter S.
dc.date.accessioned 2019-08-07T08:16:09Z
dc.date.available 2019-08-07T08:16:09Z
dc.date.issued 2018-01-01
dc.identifier.citation Kornev, V.A., Grebenik, E.A., Solovieva, A.B., Dmitriev, R.I. and Timashev, P.S., 2018. Hydrogel-assisted neuroregeneration approaches towards brain injury therapy: A state-of-the-art review. Computational and structural biotechnology journal. 16, 488-502 DOI:10.1016/j.csbj.2018.10.011 en
dc.identifier.volume 16 en
dc.identifier.startpage 488 en
dc.identifier.endpage 502 en
dc.identifier.uri http://hdl.handle.net/10468/8287
dc.identifier.doi 10.1016/j.csbj.2018.10.011 en
dc.description.abstract Recent years have witnessed the development of an enormous variety of hydrogel-based systems for neuroregeneration. Formed from hydrophilic polymers and comprised of up to 90% of water, these three-dimensional networks are promising tools for brain tissue regeneration. They can assist structural and functional restoration of damaged tissues by providing mechanical support and navigating cell fate. Hydrogels also show the potential for brain injury therapy due to their broadly tunable physical, chemical, and biological properties. Hydrogel polymers, which have been extensively implemented in recent brain injury repair studies, include hyaluronic acid, collagen type I, alginate, chitosan, methylcellulose, Matrigel, fibrin, gellan gum, self-assembling peptides and proteins, poly(ethylene glycol), methacrylates, and methacrylamides. When viewed as tools for neuroregeneration, hydrogels can be divided into: (1) hydrogels suitable for brain injury therapy, (2) hydrogels that do not meet basic therapeutic requirements and (3) promising hydrogels which meet the criteria for further investigations. Our analysis shows that fibrin, collagen I and self-assembling peptide-based hydrogels display very attractive properties for neuroregeneration. en
dc.description.sponsorship RSF(17-15-01487); Ministry of Education and Science of the Russian Federation (Russian Academic Excellence Project ‘5-100’ (Section3)) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier B.V. en
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S2001037018300977?via%3Dihub
dc.rights © 2018 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Biomaterials en
dc.subject Brain injury en
dc.subject Hydrogel en
dc.subject Nerve tissue engineering en
dc.subject Neural stem cells en
dc.subject Stroke en
dc.title Hydrogel-assisted neuroregeneration approaches towards brain injury therapy: A state-of-the-art review en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Ruslan Dmitriev, School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland. +353-21-490-3000 Email: r.dmitriev@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Russian Science Foundation en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Ministry of Education and Science of the Russian Federation en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Computational and Structural Biotechnology Journal en
dc.internal.IRISemailaddress r.dmitriev@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Starting Investigator Research Grant (SIRG)/13/SIRG/2144/IE/Development of Bionic Sensor Materials for Metabolic Imaging in Regenerative Medicine/ en
dc.identifier.eissn 2001-0370


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© 2018 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. Except where otherwise noted, this item's license is described as © 2018 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
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