Abstract
Purpose
In vitro human blood–brain barrier (BBB) models in combination with central nervous system-physiologically based pharmacokinetic (CNS-PBPK) modeling, hereafter referred to as the “BBB/PBPK” method, are expected to contribute to prediction of brain drug concentration profiles in humans. As part of our ongoing effort to develop a BBB/PBPK method, we tried to clarify the relationship of in vivo BBB permeability data to those in vitro obtained from a human immortalized cell-based tri-culture BBB model (hiBBB), which we have recently created.
Methods
The hiBBB models were developed and functionally characterized as previously described. The in vitro BBB permeabilities (Pe, × 10–6 cm/s) of seventeen compounds were determined by permeability assays, and in vivo BBB permeabilities (QECF) for eight drugs were estimated by CNS-PBPK modeling. The correlation of the Pe values with the QECF values was analyzed by linear regression analysis.
Results
The hiBBB models showed intercellular barrier properties and several BBB transporter functions, which were enough to provide a wide dynamic range of Pe values from 5.7 ± 0.7 (rhodamine 123) to 2580.4 ± 781.9 (rivastigmine). Furthermore, the in vitro Pe values of the eight drugs showed a good correlation (R2 = 0.96) with their in vivo QECF values estimated from human clinical data.
Conclusion
We show that in vitro human BBB models provide clinically relevant BBB permeability that can be used as input for CNS-PBPK modeling. Therefore, our findings will encourage the development of a BBB/PBPK method as a promising approach for predicting brain drug concentration profiles in humans.
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Abbreviations
- BBB:
-
Blood-brain barrier
- CNS:
-
Central nervous system
- HBMEC:
-
Human brain microvascular endothelial cells
- HASTR:
-
Human astrocytes
- HBPC:
-
Human brain pericytes
- prHBMEC:
-
Primary human BMEC
- hprBBB:
-
Primary HBMEC-based BBB models
- hiBBB:
-
Human immortalized cell-based BBB models
- tsSV40T:
-
Temperature sensitive simian virus 40 large tumor-antigen
- SLC:
-
Solute carrier
- ABC:
-
ATP Binding Cassette
- P-gp:
-
P-glycoprotein
- BCRP:
-
Breast cancer resistance protein
- LAT1:
-
L-type amino acid transporter 1
- H+/OC antiporter:
-
Proton/organic cation antiporter
- VE-cadherin:
-
Vascular endothelial-cadherin
- ZO-1:
-
Zonula occludens 1
- JAM-A:
-
Junctional adhesion molecule A
- GLUT1:
-
Glucose transporter 1
- TfR:
-
Transferrin receptor
- FcRn:
-
Neonatal Fc receptor
- INSR:
-
Insulin receptor
- MFSD2A:
-
The major facilitator superfamily domain containing 2A
- qPCR:
-
Quantitative real-time PCR
- GAPDH:
-
Glyceraldehyde 3-phosphate dehydrogenase
- TEER:
-
Trans-endothelial electrical resistance
- LY:
-
Lucifer yellow
- R123:
-
Rhodamine123
- CysA:
-
Cyclosporin A
- ER:
-
Efflux ratio
- Pe:
-
Permeability coefficient
- IVIVC:
-
In vitro-in vivo Correlation
- fu, p :
-
Drug unbound fraction in the plasma
- NONMEM:
-
Non-linear mixed effect model
- ECF:
-
Extracellular fluid
- LV:
-
Lateral ventricle
- TFV:
-
Third and fourth ventricle
- CM:
-
Cisterna magna
- SAS:
-
Subarachnoid space
- CSF:
-
Cerebrospinal fluid
- PK:
-
Pharmacokinetics
- PPK:
-
Population PK
- PBPK:
-
Physiologically based pharmacokinetics
- LC–MS/MS:
-
Liquid chromatography with tandem mass spectrometry
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Acknowledgements
This work was supported by research funds from Eisai (Tokyo, Japan) and Ono Pharmaceuticals (Osaka, Japan), and partly by grants from JSPS KAKENHI (19K07214), and AMED under Grant Number JP17be0304322h0001. Otherwise, we have no financial relationship to disclose for this manuscript.
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Conflict of interest statements related to research funds are provided in the acknowledgement section, and the model development method herein has been applied for a patent (No. 2020–065670). There is another related patent application (No. 2020–007041). The authors declare that they do not have any other conflicts of interest.
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Ito, R., Morio, H., Baba, T. et al. In Vitro-In Vivo Correlation of Blood–Brain Barrier Permeability of Drugs: A Feasibility Study Towards Development of Prediction Methods for Brain Drug Concentration in Humans. Pharm Res 39, 1575–1586 (2022). https://doi.org/10.1007/s11095-022-03189-y
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DOI: https://doi.org/10.1007/s11095-022-03189-y