An improved model to predict physiologically based model parameters and their inter-individual variability from anthropometry

Sieto Bosgra*, Jan van Eijkerenb, Peter Bosb, Marco Zeilmaker*b* & Wout Slob*a Institute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80.178, NL 3508, Utrecht, The Netherlandsb National Institute of Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands*Current affiliation: TNO, P.O. Box 360, 3700 AJ, Zeist, The NetherlandsAddress for Correspondence: M. J. Zeilmaker, Centre for Substances and Integrated Risk Assessment, National Institute of Public Health and the Environment (RIVM), P.O. Box 1, NL-3720 BA Bilthoven, The Netherlands. Tel: +31(0)30-2743932. E-mail: marco.zeilmaker@rivm.nlWe developed a population physiology model, physB, which provides a statistical description of the physiological characteristics in the human population, in terms of the physiological parameters that are needed in physiologically based pharmacokinetic modelling. The model predicts individual organ weights, blood flows and some respiratory parameters from anthropometric properties (body height and weight, age and gender). It draws on two existing models, PK-Pop and P3M, but various changes and improvements were made. The conceptual differences among the three models are discussed and they are quantitatively compared by running all three models for various specific combinations of anthropometric properties.