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    Targeted drug delivery within the eye

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    KIM-DISSERTATION-2013.pdf (12.32Mb)
    Date
    2013-11-18
    Author
    Kim, Yoo C.
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    Abstract
    This work introduces novel approaches to enhance targeting of pharmacotherapies to cornea, ciliary body, choroid, and posterior segment of the eye using microneedles as a drug delivery platform. The first part of the work determines the ability to deliver protein therapeutics into the cornea using coated microneedles to suppress corneal neovascularization in a rabbit model. The data show that highly targeted delivery of the anti-vascular endothelial growth factor protein therapeutic gave a better biological response of suppressing neovascularization with 11,900 times less dosage compared to topical administration. The second part of the research aims to develop novel formulations to target ciliary body and choroid via suprachoroidal delivery. The results show that a strongly non-Newtonian fluid can be used to slow down the spreading of the particles at the injection site up to 2 months. The results also show that a high molecular weight formulation with weakly non-Newtonian fluid can be used to reach 100% coverage of the choroidal surface with a single injection. The third part of the research aims to determine the biological response of targeting anti-glaucoma therapeutics to the ciliary body in a rabbit model. The results show we can achieve 500- to 1000-fold dose sparing by targeted delivery via supraciliary delivery. The fourth and last part of the research aims to develop novel emulsion droplets to target different locations within the eye using a gravity-mediated delivery technique via suprachoroidal space injection. The results show that we can deliver up to 73% of injected polymeric particles posterior to the equator of the eye. Overall this work demonstrates that microneedles have the capability to deliver pharmacotherapies to cornea, ciliary body, choroid, and posterior of the eye in a highly targeted manner and provide significant dose sparing in the rabbit model.
    URI
    http://hdl.handle.net/1853/52971
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    • Georgia Tech Theses and Dissertations [23878]
    • School of Chemical and Biomolecular Engineering Theses and Dissertations [1516]

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