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Hierarchical modeling of diabetes: a pilot study
Linköping University, Department of Physics, Chemistry and Biology, Biotechnology .
2009 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In type 2 diabetes the concentration of glucose in the blood is increased, and tissues like fat and musclebecome less sensitive to insulin. These two phenomena are interrelated, but since the glucose-insulininterplay is highly complex, many aspects are still not understood. Here, a model-based approachmight help. Nevertheless, also a model-based approach has a limited impact, unless models for thesub-systems can be combined into a model for the whole-body regulation. Such a multi-level,module-based model is referred to as a hierarchical model, and this thesis is a proof-of-principle studyfor the future development of such models.

We have extended one of the best available models for the whole-body regulations, to include azoomable module for the fat tissue. The first step was to implement the whole-body model in thesoftware MathModelica, which support hierarchical modeling. Second, the originally mergedinsulin-responding module was sub-divided, so that a fat tissue was singled out. Third, a model for theinput-output profile for the fat tissue was developed by combining mechanistic knowledge withexisting and novel data from human fat cells. Finally, this detailed model was fitted to the profile of theoriginal fat model, and inserted in the whole-body model, with negligible effect on the whole-bodysimulations.

The resulting model has the ability to translate mechanistically oriented simulations on the biochemicallevel, which is the level were drugs act, to the whole-body level, which is of clinical interest. This is aquantum leap forward for modeling, and understanding, glucose homeostasis and type 2 diabetes.

Place, publisher, year, edition, pages
2009. , 88 p.
Keyword [en]
systems biology, hierarchical modeling, type 2 diabetes, glucose homeostasis, insulin signaling
National Category
Cell and Molecular Biology Control Engineering
URN: urn:nbn:se:liu:diva-19076ISRN: LiU-IKE-EX-2009/14OAI: diva2:231708
Elsa Brändström, HU, Linköping (Swedish)
Available from: 2009-08-18 Created: 2009-06-10 Last updated: 2009-08-18Bibliographically approved

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