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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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12.1 Future Work 121<br />

Adding treatment to Model C<br />

Our initial goal was to modify the DuCa model as presented in chapter 11 and then<br />

proceed to analyze, mathematically, what would be the opportune way of reversing<br />

or arresting the deleterious process in NOD-mice. Based on the analysis we would<br />

determine if any of the treatment strategies presented in chapter 3 would fit the role<br />

laid out by the analysis. And if they could readily be implemented into the model.<br />

E.g. an easy way to implement a drug that reduces the rate of apoptosis (such as GLP-<br />

1) would be to modify the apoptosis term. But if we <strong>for</strong> a moment think in terms of<br />

humans, then the deleterious process does not become known until quite a large number<br />

of the β-cells are gone. So the term should be modified in such a way as not to take effect<br />

right from birth. Rather the term should take effect at a time that coincides with the<br />

time when the B-concentration is small enough such that symptoms become evident.<br />

A function that comes to mind is hyperbolic tangent – assuming that infusion of the<br />

drug becomes more or less steady after its first application. We could also conceive<br />

of wanting to add a drug such as that initiates β-cell regeneration, replication and/or<br />

differentiation. Again GLP-1 is a prime candidate as we learned in chapter 3. Here we<br />

could add an additional replication term is zero at t = 0 and then grows to whatever<br />

value we can justify based on data.<br />

Regardless of the possible effects of such a drug, accessibility of supporting data is<br />

imperative. In years to come, we hope to see that relevant medical data in this field<br />

will become more readily available to all researchers interested in finding solutions to<br />

major health issues.

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