parameter estimation in global pharmacokinetic models lppd ...€¦ · lppd laboratory for product...

1
Therapeutic window Rat, 6 mg/kg IV injection of Cyclosporin A 0.006 0.002 0.016 0.020 0.031 Adult Rat Regional Blood Flow (L/min) 0.21 0.59 0.91 1.18 0.99 Adult Human Regional Blood Flow (L/min) 0.056 0.071 0.134 0.050 0.305 Rhesus Monkey Regional Blood Flow (L/min) Parameter Estimation In Global Pharmacokinetic Models for Drug Delivery A. Mošať , E. Lueshen, C. Hall, and A. Linninger Laboratory for Product and Process Design, Dept. of Bioengineering, University of Illinois at Chicago 2010 AIChE Annual Meeting, Salt Lake City, UT Rationale Mathematical Model We propose a pharmacokinetic modeling framework Create global pharmacokinetic models based on biochemical, anatomical and physiological data. Propose efficient drug dosing regimes. - Accurate drug dosage needed for therapeutic effect - Animal data extrapolation by weight inaccurate - Biochemical drug interactions in vivo are complex Measures to Optimize Dosage Allometric: 0 φ φ Quantify Drug bioavailability in tissues Blood and plasma concentrations Therapeutic/toxic dosage levels Extrapolation of animal data Inter- and intra-species scaling Observe Physical Phenomena Drug administration in animals Drug concentration in tissues MRI, organ volumes Flow Rates Create a PBPK Model Obtain MRI based parameters Input parameters into PBPK model Calculate tissue and organ kinetic rates Simulate Process Flow Diagram 0 φ φ Biochemical & Physiological: 0 a a A φ b Future Work - Develop biochemical, anatomical and physiological (BAP) scaling laws - Create scalable models for different species Age Weight Case Study Cyclosporin A Tanaka’s PBPK Model Our PBPK Model Reaction Kinetics Fitted Results - Conservation of mass - Scalable results - First principle kinetics - Simpler model construction Benefits of Our Framework: Step 1: Scaling Laws , ((,, ), , ) (, ) (,) N M i E i k i min t t F φxtk tk φ x φ x k First principle network constraints .. M M st A b φ φ Objective function of location x, time t: Step 2: Transport and Kinetic Inversion Problem Therapy Design Scale-Up of Pharmacokinetic Models The framework can be used in calculations of: - Administration route - Therapeutic dosage amount - Maximizing drug’s efficacy and bioavailability - Minimizing toxic effects - Interactions of several drugs in vivo LPPD Laboratory for Product and Process Design UNIVERSITY OF ILLINOIS AT CHICAGO (,) M M t φ Q φ Rkx M 0 P P Q Convection terms Mass transfer Reaction terms Results

Upload: others

Post on 15-Jun-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Parameter Estimation In Global Pharmacokinetic Models LPPD ...€¦ · LPPD Laboratory for Product and Process Design UNIVERSITY OF ILLINOIS AT CHICAGO M ( , ) t M w w3 Q 3 5 N [

Therapeutic window

Rat, 6 mg/kg IV injection of Cyclosporin A

0.0060.002

0.016

0.020

0.031

Adult Rat Regional Blood Flow

(L/min)

0.210.59

0.911.18

0.99

Adult HumanRegional Blood Flow

(L/min)

0.0560.071

0.134

0.050

0.305

Rhesus MonkeyRegional Blood Flow

(L/min)

Parameter Estimation In Global Pharmacokinetic Modelsfor Drug Delivery

A. Mošať , E. Lueshen, C. Hall, and A. LinningerLaboratory for Product and Process Design, Dept. of Bioengineering, University of Illinois at Chicago

2010 AIChE Annual Meeting, Salt Lake City, UT

Rationale Mathematical Model

We propose a pharmacokinetic modeling framework

Create global pharmacokinetic models based onbiochemical, anatomical and physiological data.

Propose efficient drug dosing regimes.

- Accurate drug dosage needed for therapeutic effect- Animal data extrapolation by weight inaccurate- Biochemical drug interactions in vivo are complex

Measures to Optimize Dosage

Allometric:

0

φ φ

QuantifyDrug bioavailability in tissues

Blood and plasma concentrationsTherapeutic/toxic dosage levels

Extrapolation of animal dataInter- and intra-species scaling

Observe Physical PhenomenaDrug administration in animals

Drug concentration in tissuesMRI, organ volumes

Flow Rates

Create a PBPK ModelObtain MRI based parameters

Input parameters into PBPK modelCalculate tissue and organ kinetic rates

Simulate

Process Flow Diagram

0

φ φ

Biochemical & Physiological:

0

a a A φ b

Future Work

- Develop biochemical, anatomical and physiological (BAP) scaling laws

- Create scalable models for different species

AgeWeight

Case Study – Cyclosporin A

Tanaka’s PBPK ModelOur PBPK Model

Reaction Kinetics

Fitted Results

- Conservation of mass- Scalable results- First principle kinetics- Simpler model construction

Benefits of Our Framework:

Step 1: Scaling Laws

,( ( , , ), , ) ( , ) ( , )N

M i E ik

i

min t tF φ x t k t k φ x φ xk

First principle network constraints . . M Ms t A bφ φ

Objective function of location x, time t:

Step 2: Transport and Kinetic Inversion Problem

Therapy Design

Scale-Up of Pharmacokinetic Models

The framework can be used in calculations of:

- Administration route

- Therapeutic dosage amount

- Maximizing drug’s efficacy and bioavailability

- Minimizing toxic effects

- Interactions of several drugs in vivo

LPPDLaboratory for Product

and Process DesignUNIVERSITY OF ILLINOIS

AT CHICAGO

( , )MM

t

φQ φ R k x M

0

P

P QConvection

termsMass transfer

Reactionterms

Results