Re: Separation of the PK parameters for mixed endogenous and exogenous substances.
Dear Karam
This is a simple example we used modelling endogenous and exogenous IGF-1:
https://pubmed.ncbi.nlm.nih.gov/23793696/
BW
Joe
Quoted reply history
On 6 Oct 2024, at 09:34, karam alali <[email protected]> wrote:
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Thanks for your reply Jeroen,
This is an interesting approach to use the circadian rhythm of cortisol and
then the inhibition function of exogenous hydrocortisone to link the two
substances. However, if I do not have enough data (one point at time zero, then
a few points after the dose, not a 24h data), do you think I can apply the same
coding for the circadian rhythm (they used 4 harmonics)? If you have a
reference for coding the circadian rhythm, that would be useful.
Best Regards
Karam Alali
PhD Candidate
Clinical Pharmacy Discipline
Universiti Sains Malaysia
On Sun, Oct 6, 2024 at 4:18 PM karam alali
<[email protected]<mailto:[email protected]>> wrote:
Thanks for your reply Jeroen,
This is an interesting approach to use the circadian rhythm of cortisol and
then the inhibition function of exogenous hydrocortisone to link the two
substances. However, if I do not have enough data (one point at time zero, then
a few points after the dose, not a 24h data), do you think I can apply the same
coding for the circadian rhythm (they used 4 harmonics)? If you have a
reference for coding the circadian rhythm, that would be useful.
Best Regards
Karam Alali
PhD Candidate
Clinical Pharmacy Discipline
Universiti Sains Malaysia
On Sat, Oct 5, 2024 at 3:41 PM Jeroen Elassaiss-Schaap (PD-value B.V.)
<[email protected]<mailto:[email protected]>> wrote:
Dear Karem,
The short answer is that it is possible to set up an useful PK model in
this circumstance. The focus however will be to describe the endogenous
substance with sufficient detail and quality. Only once you have done
that properly you can derive a meaningful PK model for the exogenous
substance.
An example can be found in the work of the Jusko group on cortisol,
which is both a non-steady state biomarker and a drug (but more
complicated because of feedback). See eg the Mager2013 paper:
https://doi.org/10.1177/0091270003258651
Hope this helps,
Jeroen
http://pd-value.com/
[email protected]<mailto:[email protected]>
@PD_value
+31 6 23118438
-- More value out of your data!
On 05-10-2024 09:02, karam alali wrote:
> Dear NONMEM users,
>
> I encountered a case when an endogenous substance and an exogenous
> substance were not separated by any analytical method or using
> isotopes, which means we have a mix of both substances in the central
> compartment.
>
> 1. What are the possible methods to predict their pharmacokinetics?
> 2. Is it valid to use the clearance and volume of distribution of the
> total substance?
> 3. if I use the central compartment for the endogenous substance
> DADTendo (which contains the total) and create a dummy compartment for
> the exogenous substance DADTexo, would then be possible to account
> separately for each of their pharmacokinetics (CL, V) when we set the
> IPRED = A(endo) + A(exo)?
>
> Note: the endogenous substances are not in a steady state
>
> Regard
>
> Karam Alali
> PhD Candidate
> Clinical Pharmacy Discipline
> Universiti Sains Malaysia
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