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P01 Application of feto-placental-maternal physiologically-based pharmacokinetic model to predict tenofovir concentration during pregnancy
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  1. K Abduljalil,
  2. TN Johnson,
  3. M Jamei
  1. Certara UK Limited, Simcyp Division, Sheffield, UK

Abstract

Background Tenofovir is a drug used in combination with other anti-HIV drugs to treat patients with HIV-1 infection. It is used during pregnancy to reduce the risk of HIV transmission to the child. The aim of this work is to use a Physiologically-Based Pharmacokinetic (PBPK) model for prediction of maternal and fetal tenofovir concentration at birth.

Methods A full Feto-Placental-Maternal PBPK model that includes placenta as a 3-comparment permeability limited organ and 14 compartments for different fetal organs was developed using physiological1,2 and drug specific parameters3 to predict tenofovir concentration in 50 virtual pregnant mothers at term after single administration of 600 mg of tenofovir disoproxil fumarate (272 mg tenofovir). The mechanistic model implemented using the Simcyp Lua interface within the Simcyp Simulator. Fetal as well as maternal tissue to plasma ratio values were predicted using the Rodgers & Rowland method with a scalar of 1.5. Predictions of tenofovir maternal and fetal plasma concentration were compared to reported observations.4

Results In spite of the large variability in the observed data, the model adequately replicated the maternal as well as fetal clinical observations.4 The placenta transfer by cotyledon was changed 10 times the mean reported value from perfusion experiment.5 All other model parameters were calculated using bottom-up approach.The maternal predicted-to-observed ratio for AUC24hr and Cmax was 1.13 and 1.08, respectively. The predicted fetal exposure was well predicted within the 5th and 95th percentiles and was 0.51 of maternal exposure (AUC24h), the reported value is 0.60.4

Conclusion The developed feto-placental-maternal PBPK models can be used to predict drug exposure in fetal organs during in utero growth. The inter-subject variability can be predicted incorporating both the drug physicochemical properties and system (placental, maternal and fetal) parameters.

References

  1. Abduljalil, et al. Clin Pharmacokinet 2018;57(9):1149–1171.

  2. Abduljalil, et al. Clin Pharmacokinet 2019;58:235–262

  3. Gilead Sciences, Inc. Product Information: tenofovir disoproxil fumarate (VIREAD) tablets.

  4. Hirt D, et al., Clin Pharmacol Ther 2009; 85: 182–9.

  5. De Sousa Mendes, et al., Br J Clin Pharmacol 2016;81(4):646–57.

Disclosure(s) Nothing to disclose

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