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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Predictive Toxicology
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1421650

Development and validation of PBPK models for genistein and daidzein for use in a Next Generation Risk Assessment

Provisionally accepted
  • 1 Beiersdorf (AG), Hamburg, Germany
  • 2 Pierre Fabre, Toulouse, France
  • 3 Kao Germany GmbH, Darmstadt, Germany
  • 4 BASF (Germany), Ludwigshafen am Rhein, Germany
  • 5 Cosmetics Europe, Brussels, Belgium

The final, formatted version of the article will be published soon.

    Introduction: All cosmetic ingredients must be evaluated for their safety to consumers. In the absence of in vivo data, systemic concentrations of ingredients can be predicted using Physiologically based Pharmacokinetic (PBPK) models. However, more examples are needed to demonstrate how they can be validated and applied in Next Generation Risk Assessments (NGRA) of cosmetic ingredients. We used a bottom-up approach to develop human PBPK models for genistein and daidzein for a read-across NGRA, whereby genistein was the source chemical for the target chemical, daidzein. Methods: An oral rat PBPK model for genistein was built using PK-SimĀ® and in vitro ADME input data. This formed the basis of the daidzein oral rat PBPK model, for which chemical-specific input parameters were used. Rat PBPK models were then converted to human models using human-specific physiological parameters and human in vitro ADME data. In vitro skin metabolism and penetration data were used to build the dermal module to represent the major route of exposure to cosmetics. Results: The initial oral rat model for genistein was qualified since it predicted values within 2-fold of measured in vivo PK values. This was used to predict plasma concentrations from the in vivo NOAEL for genistein to set test concentrations in bioassays. Intrinsic hepatic clearance and unbound fractions in plasma were identified as sensitive parameters impacting the predicted Cmax values. Sensitivity and uncertainty analyses indicated the developed PBPK models had a moderate level of confidence. An important aspect of the development of the dermal module was the implementation of first-pass metabolism, which was extensive for both chemicals. The final human PBPK model for daidzein was used to convert the in vitro PoD of 33 nM (from an estrogen receptor transactivation assay) to an external dose of 0.2% in a body lotion formulation. Conclusion: PBPK models for genistein and daidzein were developed as a central component of an NGRA read-across case study. This will help to gain regulatory confidence in the use of PBPK models, especially for cosmetic ingredients.

    Keywords: daidzein, Genistein, PBPK, Validation, safety assessment Physiologically based Pharmacokinetic (PBPK), Maximal plasma concentration (Cmax), Pharmacokinetic (PK), Absorption, distribution, metabolism, and elimination (ADME)

    Received: 22 Apr 2024; Accepted: 30 Aug 2024.

    Copyright: Ā© 2024 Najjar, Lange, GENIES, Kuehnl, Zifle, Fabian, Hewitt and Schepky. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Abdulkarim Najjar, Beiersdorf (AG), Hamburg, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.