nr. 477 - 2011 - Institut for Natur, Systemer og Modeller (NSM)
nr. 477 - 2011 - Institut for Natur, Systemer og Modeller (NSM)
nr. 477 - 2011 - Institut for Natur, Systemer og Modeller (NSM)
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12 Discussion of the Expanded Model<br />
Just as Marée et al. (2006) modified the qualitative Copenhagen model to obtain a<br />
model that was more quantitatively correct so we have modified the DuCa model to<br />
make it do better in terms of realistic properties, i.e. we changed it so that there is<br />
no longer an infinite supply of healthy β-cells. 1 In short we expanded the DuCa model<br />
based on the fact that the β-cell population is not infinite. This last step was taken<br />
in chapter 11 where we started out by stating some criteria that an expanded model<br />
should live up to. Then we made some basic assumptions about what influenced the<br />
concentration of β-cells based on recent literature, incorporated this into a differential<br />
equation that described the change in β-cell concentration, and altered the equation<br />
describing the change in concentration of apoptotic β-cells accordingly. Matlab simulations<br />
were then done, and we analyzed the figures that were the product of these<br />
simulations. Based on the figures we were able to determine how well the different<br />
models complied with our criteria. In the following we will compare the model to the<br />
data given below, and compare Model B and Model C to each other.<br />
Perhaps the most important step towards validating one’s model(s) is to compare it to<br />
data. The only readily useable data we have is<br />
i The age at which symptoms of T1D becomes overt in the NOD-mouse – 30 weeks<br />
ii The number of β-cells that are left when symptoms of T1D present themselves (in<br />
NOD-mice) – 10-40 % of the initial β-cell mass<br />
iii The time at which T cells become significant in the depletion of β-cells in NOD-mice<br />
– 4-5 weeks<br />
iv The median lifespan of a laboratory mouse – 30 months<br />
which is not an overwhelming amount of data. It is, however, some of the most important<br />
data that we could have hoped <strong>for</strong>, since it allows us to determine if our addition<br />
to the DuCa model behaves realistically, i.e. lets us answer questions ii and iii of the<br />
thesis statement; cf. section 1.1. Question i will be answered based on the simulations<br />
presented in the previous chapter.<br />
Based on the simulations of the first expanded model, Model A, we found that it did<br />
not agree with model criteria I and II nor with the second guideline from chapter 4 (it<br />
exhibited nonphysiol<strong>og</strong>ical behavior), and almost by implication it is at variance with<br />
the third guideline as well. We concluded that we needed to <strong>for</strong>mulate an addendum,<br />
regarding what we would consider healthy behavior, to our criteria. This addendum<br />
had not previously occurred to us even though, looking back, it seems obvious.<br />
A little wiser we proceeded to alter Model A slightly, so that we would avoid negative<br />
1 This should not be interpreted as though the DuCa model is irrelevant or wrong. It was not<br />
constructed to mimic Langerhanian Islets over long periods of time, only to analyze the hypothesis of<br />
Marée et al. (2006).<br />
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