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
Separation of the PK parameters for mixed endogenous and exogenous substances.
5 messages
4 people
Latest: Oct 08, 2024
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]
@PD_value
+31 6 23118438
-- More value out of your data!
Quoted reply history
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
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
Quoted reply history
On Sun, Oct 6, 2024 at 4:18 PM karam alali <[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]> 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]
>> @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
>>
>
Dear Karam,
See also more recent work by Bindellini et al. where mechanistic
interpretations of circadian rhythm and feedback for cortisol are formalized in
a modeling framework in nonmem
https://pubmed.ncbi.nlm.nih.gov/38977635/
All the best,
Robin
Freie Universität Berlin/qPharmetra
Sent from http://www.9folders.com/
Quoted reply history
________________________________
From: karam alali <[email protected]>
Sent: Sunday, October 6, 2024 10:31
To: [email protected]
Subject: Re: [NMusers] Separation of the PK parameters for mixed endogenous and
exogenous substances.
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
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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