RE: PAMAM-OH nanoparticles
Olinto,
The simulation study (Hing 2001) does not predict between animal variability.
In their simulation study a mixed effect model better characterizes parameters.
I personally have only pooled mice into a "single" mouse and modeled the data.
If you are trying to extrapolate to humans, I'm not sure the gain in parameter
certainty is worth the effort, as pointed out by Ekaterina Gibiansky.
Matt.
Quoted reply history
From: [email protected] [mailto:[email protected]] On
Behalf Of Olinto Linares
Sent: Thursday, June 02, 2011 3:31 PM
To: [email protected]
Cc: [email protected]
Subject: RE: [NMusers] PAMAM-OH nanoparticles
Thanks Matt for the suggestion. I am looking it.
Dear Martin, 5 mice were scarified at any sample time to quantify the BioD of
PAMAM-OH in all main organs ( brain, heart, lungs . .etc), so we have these
data points at the sample times for a "future" Whole Body PBPK model?
We have different nanoparticles data (HPMA, PAMAM, gold nanoparticles) but
sampled with the same method ( the animal were sacrificed at the sample time).
Following the paper suggested by Matt, could we do kinetics analysis only with
a sample/animal? How robust will be those results?
How we can work on the nanoparticle kinetics with these data?
Best regards
Olinto
From: Martin Bergstrand [mailto:[email protected]]
Sent: Thursday, June 02, 2011 12:38 PM
To: [email protected]; [email protected]
Subject: RE: [NMusers] PAMAM-OH nanoparticles
Dear Olinto,
I do not think that your suggestion on grouping the observations as if they
originated from only five different mice is a good idea. How would you then
interpret the random effects? What mice would be grouped together?
However I wonder, cannot the nanoparticles be quantified in plasma and wasn't
that sampled in any mice up until the sacrificing? The plasma PK of the
nanoparticles should if I don't completely misunderstand the project be closely
related to the biodistribution in one or several organs/tissues. If multi
sample plasma PK and single sample tissue concentration was modeled
simultaneous a large part of the problem with single sample tissue observations
could be avoided. You likely still couldn't separate the between mice
variability in any parameter exclusively describing the rate of a tissue
distribution from the residual error (unless you make some fairly strong
assumptions regarding the residual error) however the variability in tissue
concentration will likely be largely dependent on variability in processes also
affecting the plasma concentrations.
Kind regards,
Martin Bergstrand, PhD
Pharmacometrics Research Group
Dept of Pharmaceutical Biosciences
Uppsala University
Sweden
Postal address: Box 591, 751 24 Uppsala, Sweden
Phone +46 709 994 396
Fax + 46 18 4714003
From: [email protected] [mailto:[email protected]] On
Behalf Of Fidler,Matt,FORT WORTH,R&D
Sent: Thursday, June 02, 2011 7:43 PM
To: [email protected]; [email protected]
Subject: RE: [NMusers] PAMAM-OH nanoparticles
Olinto,
Hing et al reported using mixed-effect modeling instead of fixed effects
modeling to characterize data (and may reduce parameter bias). However, this
method still does not characterize between animal variability.
Matt.
Hing, J. P.; Woolfrey, S. G.; Greenslade, D. & Wright, P. M.
Is mixed effects modeling or naïve pooled data analysis preferred for the
interpretation of single sample per subject toxicokinetic data?
J Pharmacokinet Pharmacodyn, Department of Anaesthesia, University of Newcastle
upon Tyne and Alnwick Research Centre, Sanofi, Alnwick, Northumberland., 2001,
28, 193-210
From: [email protected] [mailto:[email protected]] On
Behalf Of Olinto Linares
Sent: Thursday, June 02, 2011 12:04 PM
To: [email protected]
Cc: [email protected]
Subject: [NMusers] PAMAM-OH nanoparticles
Dears NMusers
PAMAM Nanoparticles used as anticancer drug carrier.
During a biodistribution study 5 mice were sacrificed at each sample time, 5,
30, 60, 120 minutes, and 6, and 24 hours, after a bolus infusion of 50mg/kg of
PAMAM-OH.
We are interested in the PAMAM-OH kinetics.
Can we apply population pharmacokinetics analysis on these types of data? (i.e
grouping the data as if they came from only 5 mice that were sampled at those
times)?
looking for ideas, suggestions
________________________________
This e-mail (including any attachments) is confidential and may be legally
privileged. If you are not an intended recipient or an authorized
representative of an intended recipient, you are prohibited from using, copying
or distributing the information in this e-mail or its attachments. If you have
received this e-mail in error, please notify the sender immediately by return
e-mail and delete all copies of this message and any attachments.
Thank you.
________________________________
This e-mail (including any attachments) is confidential and may be legally
privileged. If you are not an intended recipient or an authorized
representative of an intended recipient, you are prohibited from using, copying
or distributing the information in this e-mail or its attachments. If you have
received this e-mail in error, please notify the sender immediately by return
e-mail and delete all copies of this message and any attachments.
Thank you.