TY - JOUR
T1 - Application of the MechPeff model to predict passive effective intestinal permeability in the different regions of the rodent small intestine and colon
AU - Pade, D.
AU - Jamei, M.
AU - Rostami-Hodjegan, A.
AU - Turner, D. B.
PY - 2017/3
Y1 - 2017/3
N2 - A major component of physiologically based pharmacokinetic (PBPK) models is the prediction of the rate and extent of absorption of orally dosed drugs for which knowledge of effective passive intestinal permeability (Peff) is essential. Single-pass intestinal perfusion (SPIP) studies are used to establish effective permeability in vivo but are difficult to perform in rodents, while mechanistic models to predict drug Peff in rat and mouse have not been published. This work evaluates the predictive performance of the ‘MechPeff’ model to predict Peff in the rodent intestine based upon knowledge of regional gut physiology and drug-specific physicochemical parameters. The ‘MechPeff’ model, built-in to the Simcyp Rat and Mouse Simulators, predicts transcellular, paracellular and mucus layer permeabilities and combines these to give the overall Peff. The jejunal and/or ileal Peff was predicted for 12 (4) acidic, 13 (12) basic, 10 (8) neutral and 2 (0) ampholytic drugs in the rat (mouse), spanning a wide range of MW and logPo:w, and compared with experimental Peff obtained using SPIP. A key input is the intrinsic transcellular permeability (Ptrans,0) which can be derived from modelling of appropriate in vitro permeability experiments or predicted from physicochemical properties. The Peff predictions were reasonably good when experimentally derived Ptrans,0 was used; from 42 Peff,rat values, 24 (57%) were within 3-fold, and of 19 Peff,mouse values, 12 (63%) were within 3-fold, of observed Peff. Considering the lack of alternative models to predict Peff in preclinical species, and the minimal drug-specific inputs required, this model provides a valuable tool within drug discovery and development programmes.
AB - A major component of physiologically based pharmacokinetic (PBPK) models is the prediction of the rate and extent of absorption of orally dosed drugs for which knowledge of effective passive intestinal permeability (Peff) is essential. Single-pass intestinal perfusion (SPIP) studies are used to establish effective permeability in vivo but are difficult to perform in rodents, while mechanistic models to predict drug Peff in rat and mouse have not been published. This work evaluates the predictive performance of the ‘MechPeff’ model to predict Peff in the rodent intestine based upon knowledge of regional gut physiology and drug-specific physicochemical parameters. The ‘MechPeff’ model, built-in to the Simcyp Rat and Mouse Simulators, predicts transcellular, paracellular and mucus layer permeabilities and combines these to give the overall Peff. The jejunal and/or ileal Peff was predicted for 12 (4) acidic, 13 (12) basic, 10 (8) neutral and 2 (0) ampholytic drugs in the rat (mouse), spanning a wide range of MW and logPo:w, and compared with experimental Peff obtained using SPIP. A key input is the intrinsic transcellular permeability (Ptrans,0) which can be derived from modelling of appropriate in vitro permeability experiments or predicted from physicochemical properties. The Peff predictions were reasonably good when experimentally derived Ptrans,0 was used; from 42 Peff,rat values, 24 (57%) were within 3-fold, and of 19 Peff,mouse values, 12 (63%) were within 3-fold, of observed Peff. Considering the lack of alternative models to predict Peff in preclinical species, and the minimal drug-specific inputs required, this model provides a valuable tool within drug discovery and development programmes.
KW - bile salts
KW - gut morphology
KW - mechanistic prediction
KW - MechPeff
KW - rodent intestinal permeability
UR - http://www.scopus.com/inward/record.url?scp=85015785486&partnerID=8YFLogxK
U2 - 10.1002/bdd.2072
DO - 10.1002/bdd.2072
M3 - Article
C2 - 28214380
AN - SCOPUS:85015785486
SN - 0142-2782
VL - 38
SP - 94
EP - 114
JO - Biopharmaceutics and Drug Disposition
JF - Biopharmaceutics and Drug Disposition
IS - 2
ER -