liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multi-level multi-scaled metabolites simulation
Linköping University, Department of Biomedical Engineering. Linköping University.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Diabetes is a world-wide health problem with 415 millions of people suffering from the disease. Most diabetics are suffering from Type 2 Diabetes, which is preceded by insulin resistance in glucose utilizing tissues, such as adipose, liver, and muscle tissues. Diabetes is diagnosed when the insulin control of the glucose levels fails, which leads to high glucose levels in the blood. To better understand the insulin control of blood glucose, mathematical modeling has been used for many years to simulate the dynamics of glucose and insulin levels in the blood. Models have also been used to understand the intracellular insulin-signaling network in the insulin responding tissues. There have also been attempts to connect models from these different layers of control into a multi-level and multi-scale simulation model. However, to do such connections, several assumptions must be made about the comparability of the data from the different levels. Here, I aim for a deeper understanding of these assumptions and to use more advanced data for glucose uptake dynamics than in earlier work. I used data from the literature for the dynamics of glucose uptake in adipose and muscle tissues and improve the model in several steps to have a better agreement with these data. In particular, I refined the sub-division of the glucose uptake between the organs, to also account for liver uptake, a correction that implied a reduction by 50% for the muscle and adipose tissue glucose uptake. Unlike previous models, the updated model also describes blood flow. Finally, because of the connection to the intracellular level, the model can be used to simulate the response to anti-diabetic drugs. 

Place, publisher, year, edition, pages
2016. , p. 32
Keywords [en]
multi-level, model, simulation, glucose uptake, diabetes
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:liu:diva-132822ISRN: LiTH-IMT/MASTER-EX--16/038--SEOAI: oai:DiVA.org:liu-132822DiVA, id: diva2:1050761
Subject / course
Biomedical Laboratory Science
Supervisors
Examiners
Available from: 2016-12-02 Created: 2016-11-30 Last updated: 2016-12-02Bibliographically approved

Open Access in DiVA

fulltext(1280 kB)64 downloads
File information
File name FULLTEXT01.pdfFile size 1280 kBChecksum SHA-512
c4dda19e854dfb784cb3ed1d1409a4b7fe6777db139c12a7659e6f40a4f44dc59f037457005a42088b77e1242cf9f06054c396cf8864c63a2fc5d82cf17d3334
Type fulltextMimetype application/pdf

By organisation
Department of Biomedical Engineering
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 64 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 69 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf