Georg Hempel

Country flagGermany

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (11)

Summary Physiologically based pharmacokinetic (PBPK) modelling is an alternative modelling technique that is increasingly used in pharmacokinetics. Due to its nature, it can be complementarily employed to population pharmacokinetics, especially when it comes to small population size. Here, we report the proof of concept of its application to accurately describe the pharmacokinetics of a recombinant L‐asparaginase in paediatric patients with acute lymphoblastic leukaemia. Data from two randomized, double‐blind, phase II/III clinical studies (MC‐ASP.4/ALL; MC‐ASP.5/ALL) were included to setup and evaluate the final model, respectively. Final population values for basic pharmacokinetic parameters were calculated (clearance: 0.0569 L/h/19.5 kg, volume of distribution: 1.251 L, half‐life: 18.5 h, trough concentration: 140.9 IU/L). Pharmacokinetic parameter prediction as well as predictive performance of the model proofed to be comparable to a separately developed population pharmacokinetic model with 13% deviation in predicted median L‐asparaginase trough levels. To the best of our knowledge, this is the first whole‐body PBPK model of a non‐antibody therapeutic protein.

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (6)

Francisco Abad-Santos

Professor

Universidad Complutense de Madrid Facultad de Medicina

SPAIN
View details

Uwe Fuhr

University of Cologne, Faculty of Medicine and University Hospital Cologne

GERMANY
View details

Alberto M. Borobia

-

SPAIN
View details

Stephan Ludwig

Full Professor and Director

Westfälische Wilhelms Universität Münster Medizinische Fakultät

GERMANY
View details

David Jamieson

-

UNITED KINGDOM
View details

judith alferink

University of Münster

GERMANY
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.