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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114 Expanding and Modifying the DuCa model<br />
where t ′ 1 is given by equation 11.14.<br />
Because we have found different values <strong>for</strong> the apoptosis rate in young and adult animals,<br />
we hypothesize that the (natural) apoptosis rate might also decline with age. Again we<br />
choose a l<strong>og</strong>istic function to describe the apoptosis rate as a function of time, but this<br />
time we do not want the rate to tend to zero as the animal ages. Instead we want it to<br />
reach the constant value given by Verchere (2009); 0.001d −1 . Thus we find<br />
x3(t) =<br />
x3,0<br />
1 + exp(p2(t − t ′ + x2<br />
(11.16)<br />
2 ))<br />
As be<strong>for</strong>e we can relate p2 and x3,0 as well as t ′ 2 and x3,0, as seen in equations 11.17<br />
and 11.18.<br />
t ′ 2<br />
=<br />
p2 =<br />
<br />
x3,0−0.018<br />
x3,0−0.001<br />
0.018 − 30 ln 0.001<br />
<br />
0.001(x3,0−0.018)<br />
ln 0.018(x3,0−0.001)<br />
<br />
x3,0−0.018<br />
0.018<br />
365 ln<br />
ln<br />
30 − t ′ 2<br />
<br />
(11.17)<br />
(11.18)<br />
t ′ 2 in equation 11.18 is given by 11.17.<br />
By now we have altered the governing equations <strong>for</strong> the healthy and apoptotic β-cells<br />
so many times that we find it appropriate to restate them<br />
dBa<br />
dt<br />
= x3(t)B + W0(t)B + A′ maxC<br />
kc + C B − f1MBa − f2MaBa − dBa (11.19)<br />
dB<br />
dt = −x3(t)B − W0(t)B − A′ maxC<br />
B + r(t)B<br />
kc + C<br />
(11.20)<br />
The other equations remain as given in equation 11.6, 11.7, 11.9 and 11.10.<br />
We could avoid the use of the non-autonomous apoptosis and replication terms by<br />
adding two additional differential equations to the system of equations (one describing<br />
the change in the apoptosis-rate and one describing the change in the replication-rate),<br />
and assume that x3,0 ≈ x3(30) and r(0) ≈ r(30).<br />
If we estimate r0 = 0.040d −1 we obtain t ′ 1 ≈ 148d and p1 ≈ 0.019. While by estimating<br />
x3,0 = 0.022d −1 we get t ′ 2 ≈ 141d and p2 ≈ 0.014. Based on these estimates, and<br />
x2 = 0.001d −1 , the simulations in figure 11.4 and 11.5 were produced. 6 As with Model<br />
B we will compare Model C to the data that is available to us. However we will save<br />
the discussion of Model C <strong>for</strong> the next chapter.<br />
Model C – Balb/c-simulation<br />
Figure 11.4 shows that, after the β-cell population has endured the initial remodelling,<br />
it grows to a concentration of nearly 3.5 × 10 9 be<strong>for</strong>e it starts to decline. After 1500<br />
days the concentration is still above 3 × 10 8 , and at 30 months the concentration is<br />
above what would be considered diabetic. The elevated number of β-cells, compared to<br />
6 In appendix C.3 we have included the code that was used to do the simulations.