Bidirectional permeability of model medicines in an in vitro model based on primary culture of human (hMECs) or Göttingen minipig (mpMECs) mammary epithelial cells.

This data set contains results related to the application of an appropriate in vitro model for the human blood milk barrier. The aim of the present study was to to evaluate the utility of human mammary epithelial cells (hMECs), weighted to Göttingen Minipig mammary epithelial cells (mpMECs) and Caco-2 in vitro models, by conducting bidirectional permeability assays across a permeable membrane for physiochemically diverse medicines. hMECs and mpMECs were previously characterized as in vitro models for the human blood milk barrier. In the present study, bidirectional permeability assay was performed in hMECs and mpMECs. The selected medicines were amoxicillin, caffeine, cetirizine, levetiracetam, metformin, nevirapine, sertraline, tacrolimus, tenofovir, valproic acid, venlafaxine, and zidovudine. This dataset contains the permeability of the model medicines in three independent experiments for hMECs (Permeability_hMECs_L015.ods, Permeability_hMECs_L020.ods & Permeability_hMECs_L021.ods) and mpMECs (Permeability_mpMECs_L022.ods, Permeability_mpMECs_L023.ods & Permeability_mpMECs_L024.ods). Furthermore, this dataset contains the permeabilitiy of probe substrates for membrane transporters in mpMECs (Permeability_mpMECs_L025.ods & Permeability_mpMECs_L026.ods). The integrity of the monolayer was confirmed after the expeirments by measurement of the transepithelial electrical resistance and sodium fluorescien leakage (Permeability_Monolayer_integrity.ods). The permeabiility coefficients in hMECs are predictive for the in vivo M/P ratio. Linear regression showed a correlation between the in vitro data generated in hMECs and mpMECs after logarithmic transformation.

ConcePTION (Building an ecosystem for better monitoring and communicating safety of medicines use in pregnancy and breastfeeding: validated and regulatory endorsed workflows for fast, optimised evidence generation), funded by European Union, Horizon 2020 Programme (call H2020-JTI-IMI2-2017-13-two-stage). Grant Agreement num. 821520; https://www.imi-conception.eu/. Nina Nauwelaerts received a PhD scholarship by Research-Foundation-Flanders (1S50721N).