Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT)

by Christian Tiemann, Joep Vanlier and Natal van Riel

One of the challenges for the application of systems biology approaches in clinical research and healthcare ('systems medicine') is its contribution to understanding, curing and preventing of multi-factorial, progressive diseases, such as Metabolic Syndrome, Type 2 Diabetes and cancer. Modelling multi-factorial, progressive diseases requires the integration of molecular data at the metabolome, proteome and transcriptome level. Also the dynamic interaction of organs and tissues needs to be considered. The processes involved cover time scales that are several orders of magnitude different. We have developed a computational approach to bridge the scales and different levels of biological detail. ADAPT (Analysis of Dynamic Adaptations in Parameter Trajectories) aims to investigate phenotype transitions during disease development and after a therapeutic intervention. ADAPT is based on a time-dependent evolution of model parameters to describe the dynamics of metabolic adaptations. The progression of metabolic adaptations is predicted by identifying necessary dynamic changes in the model parameters to describe the transition between experimental data obtained during different stages.

In our research ADAPT is applied to identify and analyse progressive changes in lipoprotein metabolism.



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