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Development and Evaluation of an In Silico Dermal Absorption Model Relevant for Children
Yejin Esther Yun1, Daniella Calderon-Nieva1, Abdullah Hamadeh1
1School of Pharmacy, University of Waterloo, Waterloo, ON N2G 1C5, Canada.
Insights
Children
Area of Science:
- Pharmacokinetics and Toxicology
- Dermal Absorption Modeling
- Pediatric Physiology
Background:
- Pediatric skin exhibits unique anatomical and physiological characteristics.
- Higher surface area to body weight ratio in children increases chemical exposure risk.
- Neonatal skin immaturity further elevates susceptibility to dermal absorption.
Purpose of the Study:
- To review age-dependent changes in pediatric skin anatomy and physiology.
- To develop and validate an age-specific pediatric dermal absorption model.
- To assess the model's utility in drug development and risk assessment.
Main Methods:
- Comprehensive literature review of pediatric skin maturation.
- Development of age-dependent maturation functions for model parameters.
- Updating a physiologically based pharmacokinetic model with maturation functions.
- Model validation using in vitro neonatal skin permeation data for specific drugs.
Main Results:
- The developed pediatric dermal absorption model demonstrated satisfactory prediction accuracy.
- Model predictions for diamorphine and phenobarbital flux in neonates showed good agreement with experimental data (ratios 0.55-1.40 and 0.93-1.26, respectively).
- The model also exhibited acceptable predictive performance for buprenorphine.
Conclusions:
- A physiologically based, age-dependent pediatric dermal absorption model can accurately predict drug absorption.
- This model is a valuable tool for drug development and human health risk assessment in pediatric populations.
- Model-based prediction of dermal absorption in neonates supports informed decision-making.
Abstract:
The higher skin surface area to body weight ratio in children and the prematurity of skin in neonates may lead to higher chemical exposure as compared to adults. The objectives of this study were: (i) to provide a comprehensive review of the age-dependent anatomical and physiological changes in pediatric skin, and (ii) to construct and evaluate an age-dependent pediatric dermal absorption model. A comprehensive review was conducted to gather data quantifying the differences in the anatomy and physiology of child and adult skin. Maturation functions were developed for model parameters that were found to be age-dependent. A pediatric dermal absorption model was constructed by updating a MoBi implementation of the Dancik et al. 2013 skin permeation model with these maturation functions. Using a workflow for adult-to-child model extrapolation, the predictive performance of the model was evaluated by comparing its predicted rates of flux of diamorphine, phenobarbital and buprenorphine against experimental observations using neonatal skin. For diamorphine and phenobarbital, the model provided reasonable predictions. The ratios of predicted:observed flux in neonates for diamorphine ranged from 0.55 to 1.40. For phenobarbital, the ratios ranged from 0.93 to 1.26. For buprenorphine, the model showed acceptable predictive performance. Overall, the physiologically based pediatric dermal absorption model demonstrated satisfactory prediction accuracy. The prediction of dermal absorption in neonates using a model-based approach will be useful for both drug development and human health risk assessment.
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