title: An improved model to predict physiologically based model parameters and their inter-individual variability from anthropometry.
abstract: We 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 P(3)M, 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.
authors.affiliation: Institute for Risk Assessment Sciences (IRAS), Utrecht University, P.O. Box 80.178, NL 3508, Utrecht, The Netherlands.
authors.forename: Sieto
authors.initials: S
authors.lastname: Bosgra
authors.forename: Jan
authors.initials: J
authors.lastname: van Eijkeren
authors.forename: Peter
authors.initials: P
authors.lastname: Bos
authors.forename: Marco
authors.initials: M
authors.lastname: Zeilmaker
authors.forename: Wout
authors.initials: W
authors.lastname: Slob
mesh_terms: D000273:Adipose Tissue / Q000502:physiology; D000886:Anthropometry; D002320:Cardiovascular Physiological Phenomena; D006801:Humans; D008954:Models, Biological; D009929:Organ Size / Q000502:physiology; D018570:Risk Assessment