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Evaluation of the reliability and applicability of human unbound brain-to-plasma concentration ratios
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ABSTRACT
Background
Blood-brain barrier permeability (BBB P
e
) and unbound brain-to-plasma concentration ratio (K
p,uu,brain
) are relevant parameters describing the brain uptake potential of compounds. BBB efflux by transporter proteins, mainly MDR-1 and BCRP, is an essential factor determining K
p,uu,brain
. K
p,uu,brain
-values are commonly estimated
in vivo
in rats and monkeys and predicted using
in silico
methodology. Such estimates can be used to predict corresponding human clinical values.
Objective
The objective of the study was to evaluate the reliability and applicability of human clinical K
p,uu,brain
-data for understanding and predictions of brain uptake in man.
Methodology
K
p,uu,brain
in rats, monkeys and humans, measured and
in silico
predicted MDR-1 and BCRP substrate specificities and
in silico
predicted passive P
e
were used for the analysis.
In silico
predictions were done using the ANDROMEDA by Prosilico ADME/PK-prediction software.
Results and Discussion
Rat and monkey K
p,uu,brain
-values were highly correlated (R^2=0.74; n=17). Based on this finding a correlation between rat and human K
p,uu,brain
was expected. However, no correlation between rat and human K
p,uu,brain
was found (R^2=0.01; n=13). There was no (as also anticipated) correlation between passive P
e
and human K
p,uu,brain
(R^2=0.04; n=16) and compounds with measured or predicted efflux did not have lower K
p,uu,brain
than compounds without efflux. The compound with highest K
p,uu,brain
in man (2.8) is effluxed and predicted to have high passive P
e
and has no apparent efflux at the rat BBB. The MDR-1 substrate with highest K
p,uu,brain
in rat (2.4) has very low K
p,uu,brain
in man (0.15) is predicted to have high passive P
e
.
Conclusion
Results indicate that available human K
p,uu,brain
-data are too uncertain to be applicable for validation of predictions and understanding of clinical brain uptake of drugs and drug candidates.
Title: Evaluation of the reliability and applicability of human unbound brain-to-plasma concentration ratios
Description:
ABSTRACT
Background
Blood-brain barrier permeability (BBB P
e
) and unbound brain-to-plasma concentration ratio (K
p,uu,brain
) are relevant parameters describing the brain uptake potential of compounds.
BBB efflux by transporter proteins, mainly MDR-1 and BCRP, is an essential factor determining K
p,uu,brain
.
K
p,uu,brain
-values are commonly estimated
in vivo
in rats and monkeys and predicted using
in silico
methodology.
Such estimates can be used to predict corresponding human clinical values.
Objective
The objective of the study was to evaluate the reliability and applicability of human clinical K
p,uu,brain
-data for understanding and predictions of brain uptake in man.
Methodology
K
p,uu,brain
in rats, monkeys and humans, measured and
in silico
predicted MDR-1 and BCRP substrate specificities and
in silico
predicted passive P
e
were used for the analysis.
In silico
predictions were done using the ANDROMEDA by Prosilico ADME/PK-prediction software.
Results and Discussion
Rat and monkey K
p,uu,brain
-values were highly correlated (R^2=0.
74; n=17).
Based on this finding a correlation between rat and human K
p,uu,brain
was expected.
However, no correlation between rat and human K
p,uu,brain
was found (R^2=0.
01; n=13).
There was no (as also anticipated) correlation between passive P
e
and human K
p,uu,brain
(R^2=0.
04; n=16) and compounds with measured or predicted efflux did not have lower K
p,uu,brain
than compounds without efflux.
The compound with highest K
p,uu,brain
in man (2.
8) is effluxed and predicted to have high passive P
e
and has no apparent efflux at the rat BBB.
The MDR-1 substrate with highest K
p,uu,brain
in rat (2.
4) has very low K
p,uu,brain
in man (0.
15) is predicted to have high passive P
e
.
Conclusion
Results indicate that available human K
p,uu,brain
-data are too uncertain to be applicable for validation of predictions and understanding of clinical brain uptake of drugs and drug candidates.
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