4.1 Article

Two-pore physiologically based pharmacokinetic model validation using whole-body biodistribution of trastuzumab and different-size fragments in mice

Journal

JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS
Volume 48, Issue 5, Pages 743-762

Publisher

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10928-021-09772-x

Keywords

Monoclonal antibody (mAb); Antibody fragments; Physiologically based pharmacokinetic (PBPK) model; Two-pore theory; QSPKR

Funding

  1. National Institute of General Medical Sciences [GM114179]
  2. National Institute of Allergy and Infectious Diseases [AI138195]
  3. National Cancer Institute [R01CA246785]

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The two-pore PBPK model proposed by the lab for protein therapeutics of different sizes was validated using plasma PK data and tissue distribution data of different-size antibodies. The model showed relatively accurate predictions for plasma, tissues, and tumor exposure of studied molecules, proving its potential as a platform for developing a generic PBPK model for protein therapeutics in the future.
In the past, our lab proposed a two-pore PBPK model for different-size protein therapeutics using de novo derived parameters and the model was validated using plasma PK data of different-size antibody fragments digitized from the literature (Li Z, Shah DK, J Pharmacokinet Pharmacodynam 46(3):305-318, 2009). To further validate the model using tissue distribution data, whole-body biodistribution study of 6 different-size proteins in mice were conducted. Studied molecules covered a wide MW range (13-150 kDa). Plasma PK and tissue distribution profiles is 9 tissues were measured, including heart, lung, liver, spleen, kidney, skin, muscle, small intestine, large intestine. Tumor exposure of different-size proteins were also evaluated. The PBPK model was validated by comparing percentage predictive errors (%PE) between observed and model predicted results for each type of molecule in each tissue. Model validation showed that the two-pore PBPK model was able to predict plasma, tissues and tumor PK of all studied molecules relatively well. This model could serve as a platform for developing a generic PBPK model for protein therapeutics in the future.

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