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Theoretical modelling to understand the neurotransmission mechanism in the gastrointestinal tract

Marcelli, Gianluca, Patel, Bhavik Anil (2008) Theoretical modelling to understand the neurotransmission mechanism in the gastrointestinal tract. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,, Vancouver. (doi:10.1109/IEMBS.2008.4650471) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35752)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/IEMBS.2008.4650471

Abstract

In this paper we apply a novel experimental and theoretical method to study the neurotransmitter signalling process. This method allows the understanding of changes in uptake between different tissue types from the gastrointestinal tract. The reaction-diffusion model we used has shown that by changing the uptake rate, the slope of the response changed when the levels of 5-HT released were held constant. Experimental data from the ileum and colon obtained at one distance from the tissue shows no significant difference in the release profile, however measurements at multiple sites show different current slopes for the two tissues. The response based upon the theoretical data indicates that colon has a higher uptake rate than the ileum. These results show that the combination of a theoretical and experimental approach to study biological processes can provide a mean of gaining further inside into the mechanisms involved and can have important clinical applications.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/IEMBS.2008.4650471
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 29 Oct 2013 14:44 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35752 (The current URI for this page, for reference purposes)

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