ArticleEuropean journal of drug metabolism and pharmacokinetics2026
Minimal Physiologically-Based Pharmacokinetic Modeling to Predict Concentration-Time Profiles of Poorly Soluble Cinacalcet Hydrochloride in Fasting and Fed State.
Article in European journal of drug metabolism and pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
BACKGROUND AND
objectiveObtaining pharmacokinetic curves is crucial for drug dosage selection, and for assessment of efficacy and adverse effects in clinical practice. The aim of this study was to utilize a minimal physiologically-based pharmacokinetic model to predict concentration-time profiles of cinacalcet hydrochloride, a poorly soluble drug, under fasting and fed conditions, and further to establish correlations between in vivo and in vitro dissolution profiles of cinacalcet hydrochloride.
methodsThe mPBPK model consisted of six tissue compartments, and an additional compartmental absorption and transit model, incorporating the stomach, seven small intestinal compartments, and the large intestine along with Johnson's equation, was integrated to enable precise calculations of in vivo dissolution.
resultsExternal validations for three dosages showed that the average fold error and the absolute average fold error were all within a two-fold error range, indicating the accuracy and reliability of the established model. Subsequently, the model was used to calculate the in vivo dissolution profile and to establish a correlation with the in vitro dissolution profile (R
conclusionThe mPBPK model can accurately predict the plasma concentration-time curves under both fasted and fed conditions, and provides a new perspective for establishing in vivo-in vitro correlations of drug products such as incomplete in vivo release, sustained/controlled release, and poor absorption.
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