LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Cortical implants are an important component of a variety of novel therapeutic technologies, such as brain-computer interfaces for prosthetic control and sensory restoration devices. However, the widespread use of these devices is limited by the brain’s endogenous foreign body response (FBR) to cortical implants, which involves inflammation and scar tissue formation. FBR is exacerbated by three major factors: reactive chemical pathways such as cytokine gradients, mechanical mismatch between the stiff implant and soft brain tissue, and micromotion at the implant-tissue interface caused by pulsation of brain tissue due to respiration and circulation. This project focused on developing and analyzing hydrogel coatings that attenuate these factors. We worked with three different hydrogel systems—a polyelectrolyte gel, a guest-host gel, and a self-assembling peptide gel—and used mechanical and bio-functional strategies to optimize them for performance as implant coatings. The coatings are designed to closely match the mechanical properties of brain tissue to address mechanical mismatch. They contain physical, non-covalent bonds within their polymer networks that can dissociate and reform to absorb the kinetic energy generated by micromotion, preventing it from perturbing brain tissue. The self-assembling peptide gel contains a cytokine sequestration motif that aims to reduce the activation of inflammatory recruitment agents, addressing the chemical causes of FBR. As part of this project, we developed a custom open-source device to simulate micromotion between an implant and surrounding tissue. We use the device, as well as other methods such as cytotoxicity assays and rheological analysis, to characterize the hydrogels and compare the effectiveness of various modifications. We developed versions of the hydrogels adapted for use as implant coatings that outperformed covalent hydrogel PEGDA at reducing micromotion at the implant interface. Our work with the self-assembling peptide gel focused on molecular dynamics simulation of the cytokine sequestration motif’s assembly with the cytokine CCL2 in order to develop an improved peptide motif that maximized CCL2 affinity. We demonstrated that the new motif outperforms the original motif at sequestering CCL2. Overall, this work represents advancement in development of FBR-reducing implant coatings, as well as in the techniques used to evaluate their efficacy.
Subject (authority = RUETD)
Topic
Biomedical engineering
Subject (authority = RUETD)
Topic
Chemistry
Subject (authority = RUETD)
Topic
Materials Science
Subject (authority = local)
Topic
Biocompatibility
Subject (authority = local)
Topic
Hydrogels
Subject (authority = local)
Topic
Implant materials
Subject (authority = local)
Topic
Medical devices
Subject (authority = local)
Topic
Micromotion
Subject (authority = local)
Topic
Neural implants
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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http://dissertations.umi.com/gsnb.rutgers:12421
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171 pages : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Reason
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