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1.
  • Choy, Steve, 1987- (författare)
  • Semi-mechanistic models of glucose homeostasis and disease progression in type 2 diabetes
  • 2016
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by consistently high blood glucose, resulting from a combination of insulin resistance and reduced capacity of β-cells to secret insulin. While the exact causes of T2DM is yet unknown, obesity is known to be a major risk factor as well as co-morbidity for T2DM. As the global prevalence of obesity continues to increase, the association between obesity and T2DM warrants further study. Traditionally, mathematical models to study T2DM were mostly empirical and thus fail to capture the dynamic relationship between glucose and insulin. More recently, mechanism-based population models to describe glucose-insulin homeostasis with a physiological basis were proposed and offered a substantial improvement over existing empirical models in terms of predictive ability.The primary objectives of this thesis are (i) examining the predictive usefulness of semi-mechanistic models in T2DM by applying an existing population model to clinical data, and (ii) exploring the relationship between obesity and T2DM and describe it mathematically in a novel semi-mechanistic model to explain changes to the glucose-insulin homeostasis and disease progression of T2DM.Through the use of non-linear mixed effects modelling, the primary mechanism of action of an antidiabetic drug has been correctly identified using the integrated glucose-insulin model, reinforcing the predictive potential of semi-mechanistic models in T2DM. A novel semi-mechanistic model has been developed that incorporated a relationship between weight change and insulin sensitivity to describe glucose, insulin and glycated hemoglobin simultaneously in a clinical setting. This model was also successfully adapted in a pre-clinical setting and was able to describe the pathogenesis of T2DM in rats, transitioning from healthy to severely diabetic.This work has shown that a previously unutilized biomarker was found to be significant in affecting glucose homeostasis and disease progression in T2DM, and that pharmacometric models accounting for the effects of obesity in T2DM would offer a more complete physiological understanding of the disease.
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2.
  • Silber, Hanna, 1977- (författare)
  • Integrated Modeling of Glucose and Insulin Regulation Following Provocation Experiments
  • 2009
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Blood glucose is controlled by a complex system of insulin and other hormones to assure a constant supply of glucose to the tissues. Type 2 diabetes is a metabolic disorder which is characterized by progressively worsening glycemic control due to a relative deficiency of insulin secretion and a decreased response to insulin. Numerous mathematical models have been developed with the aim of describing glucose and insulin regulation. A drawback with most previously presented models is that they use an open-loop approach which simplifies the model development but at the same time limits the possible use for predictive purposes. The integrated glucose-insulin model presented in this thesis is a semi-mechanistic model which describes glucose and insulin simultaneously. The model has been used to analyze both intravenous and oral provocations and has been shown to describe and predict healthy and diabetic individuals well. Important differences between healthy and diabetic individuals were identified in insulin secretion and sensitivity. The model was used for design optimization of the intravenous glucose tolerance test and it was shown that the design could be improved and simplified by reduction of the number of samples and by change of glucose and insulin dose. Two methodological aspects which were of importance for model development were evaluated. These were (i) comparison of methods for incorporation of baseline data, and (ii) evaluation of the effects of model misspecification on hypothesis testing for covariate inclusion. Baseline information should be included in the model using either of three presented methods and normalization or subtraction of baseline should be avoided. The likelihood ratio test performed well in most cases except when serial correlation was present. In conclusion, a new model for glucose and insulin regulation has been proposed which is expected to play an important role in clinical development of anti-diabetic drugs.
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