Standard figures from the SimThyr calculation.
Case No. 2 from Kubota et al. showing overt hypothyroidism
Case No. 5 from Kubota et al. showing overt hypothyroidism
modelling
I would like to know how hypothyroid the model can get when the different parameters from fig. 6. A in Principles, Hoermann et al 2022.
Recap text from fig. 6. A: FT4 levels (blue curve) decline, but the mechanisms in system (sys. 10) protect FT3 levels (green curve), keeping them in a range close to the original level, as the percentage of the estimate of FT4 production rate constant (k32 = 0.4 to 1.1) decreases – as typical at the onset of hypothyroidism in patients suffering from autoimmune thyroiditis and progressive thyroid destruction. Other parameters are chosen within ranges, k423 = 0.2-0.3, k43 = 0.7-0.8 and k42 = 0.1-0.2, to approximate the relative contributions to FT3 production according to (32).
The figures shows the most hypothyroid state the model can achieve under the given conditions.
Trying to change the k42 parameter which results in a slight decrease of TSH
Adding drug4 = 0.8 to the most hypothyroid state. We see FT3 is not returning to the level in the perfect homeostasis. See sys1 below. Apart from that FT3 drops with lower k32.
Here I have tried to show the pattern following perfect homeostasis plus drug4. Mimicing the situation where a patient gets unnecessary LT-4 treatment. Will it be possible to identify the pattern and use it to get the patient off LT-4? Is the pattern disguised by the transformation to real hormone values?
I stumbled over this image the other day – mixing together two images. Yet recreated in R.
For many of the registrations, you see that there is an opposite movement in TRH and TSH. Though there are registrations where this is not the case. What is the reason? I will, later on, dig into the patterns of the other parameters to look for an explanation.
Looking at TT4 and FT4 gives another picture
During this time period, it seems as if both total and free T4 is dropping. I will, later on, insert either TSH or TRH to see if there is a pattern to comment on.
TT3 and FT3 have a pattern totally on their own:
Subtle spikes of either FT3 or TT3 during one hour – this is interesting and totally different from the other patterns.
As can be seen – the TRH decrease and in this image, we can see the intervals of FT3 spikes shortens. (Update 23-11-2021) If this pattern also exists in vivo it means that it is difficult to capture the T3 changes as the halflife of T3 is short.
This post will be updated with the same data from a hypothyroid simulation – looking into the changes in the thyroid hormones during hypothyroidism. (19-11-2021)
Standard figures hour split into quartiles | ||||
1 q minutes | 2 q minutes | 3 q minutes | 4 q minutes | |
FT3_pmol.l | ||||
Max | 5.6233 | 5.6234 | 5.6235 | 5.6236 |
Mean | 5.623267 | 5.623344 | 5.623433 | 5.623533 |
Min | 5.6232 | 5.6233 | 5.6234 | 5.6235 |
SD | 5E-05 | 5.3e-05 | 5E-05 | 5E-05 |
FT4_pmol.l | ||||
Max | 18.6077 | 18.6109 | 18.6137 | 18.6159 |
Mean | 18.606256 | 18.609511 | 18.6125 | 18.614911 |
Min | 18.6049 | 18.608 | 18.6113 | 18.6139 |
SD | 0.00095 | 0.001001 | 0.000822 | 0.000672 |
TRHdiv1000 | ||||
Max | 7.720417 | 7.08441 | 6.267683 | 6.641718 |
Mean | 4.678992 | 3.728701 | 3.770022 | 4.005787 |
Min | 1.352853 | 0.451124 | 0.939859 | 2.25577 |
SD | 1.84202 | 2.154548 | 1.435854 | 1.569699 |
TSH_mU.l | ||||
Max | 2.7315 | 2.6841 | 2.5769 | 2.4747 |
Mean | 2.667311 | 2.630967 | 2.491 | 2.4117 |
Min | 2.5719 | 2.557 | 2.4253 | 2.3814 |
SD | 0.055473 | 0.037612 | 0.053888 | 0.030551 |
TT3_nmol.l | ||||
Max | 3.3796 | 3.3797 | 3.3797 | 3.3798 |
Mean | 3.3796 | 3.379611 | 3.3797 | 3.379733 |
Min | 3.3796 | 3.3796 | 3.3797 | 3.3797 |
SD | 0 | 3.3e-05 | 0 | 5E-05 |
TT4_nmol.l | ||||
Max | 128.4115 | 128.434 | 128.4528 | 128.468 |
Mean | 128.401744 | 128.424311 | 128.444867 | 128.461456 |
Min | 128.3923 | 128.4142 | 128.4363 | 128.4546 |
SD | 0.006533 | 0.006775 | 0.005693 | 0.00463 |
Update (22-11-2021)