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    Beta Amyloid-Neuron Interactions Explored via Computational Modeling

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    233.pdf (737.1Kb)
    Permanent Link
    http://hdl.handle.net/11603/1068
    Collections
    • UMBC Chemical, Biochemical & Environmental Engineering Department
    • UMBC Graduate School
    • UMBC Student Collection
    • UMBC Theses and Dissertations
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    Author/Creator
    Gates, Brad
    Date
    2008-08-21
    Type of Work
    application/pdf
    Text
    theses
    Department
    Chemical, Biochemical & Environmental Engineering
    Program
    Engineering, Chemical and Biochemical
    Rights
    This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.
    Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
    Subjects
    Engineering, Chemical (0542)
    Abstract
    There has been considerable research into the mechanism by which beta amyloid (A?), one of the primary constituents in Alzheimer's disease, causes death in neurons. Many mechanisms have been proposed, and there is no consensus as to their validity. In order to aid in the comparison of various mechanisms, a computational model of a neuron was created. Research has shown that A? is capable of reducing the cell membrane's dielectric barrier by thinning the membrane. This reduction causes an increase in both membrane conductance and capacitance. This mechanism showed strong correlation to experimental data at low concentrations of A?. However, in the presence of A? in concentrations larger than 1.5?M, it was unable to produce results which agree with experimental data. If A? increases the conductance of a membrane, then it is likely through a different mechanism at higher concentrations. There has also been research into A? creating an ion channel inside the cell membrane, but no model of this channel yet exists. Using kinetic and equilibrium data from literature, a prototype model was created and implemented in the neuron. Although the results do not precisely match literature data, the prototype shows strong correlation with all of the trends expected when A? interacts with neurons. This shows that the A? channel has a distinct possibility of being a prime part of A?-neuron interactions and requires more research. This neuronal model has provided insight into two different mechanisms and can be used in the same manner for many others.


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
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    www.umbc.edu/scholarworks

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    Phone: 410-455-3544


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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3544


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.