HL15: Katrin Huebner - Analyzing risk factor of heart disease by a computational lipidology approach
model with 6 lipoprotein components, each one may take part in up to 20 kinetic processes - Michael Kuhn
e.g. synthesis, uptake, exchange with tissue/lipids, ... - Michael Kuhn
simulation of lipoprotein particles, particles have an internal state --> observed kinetic heterogeneity - Michael Kuhn
test if simulation results correspond to clinical data - Michael Kuhn
virtual blood profiles closely match experimental values - Michael Kuhn
hypercholestrolemia: accumulation of cholesterol, especially LDL cholesterol. decrease parameter of LDL receptor to mimick malfunction of the receptor in vivo. simulated lipids follow clinical observations - Michael Kuhn
lipoprotein profile depends on initial composition (e.g. influence by diet) - Michael Kuhn
however, there are some dissimilar initial compositions which result in similar lipid profiles - Michael Kuhn
increase resolution to make sure this is not a sample artifact - Michael Kuhn
look for alterations in the high-density profile, but no difference in the low-resolution profile - Michael Kuhn
? i.e. they can see transient profile changes? - Michael Kuhn
model still needs to be further validated against clinical profiles - Michael Kuhn