Journal of Pharmacokinetics and Pharmacodynamics

, Volume 37, Issue 3, pp 277–287

PAVA: physiological and anatomical visual analytics for mapping of tissue-specific concentration and time-course data

  • Michael-Rock Goldsmith
  • Thomas R. Transue
  • Daniel T. Chang
  • Rogelio Tornero-Velez
  • Michael S. Breen
  • Curtis C. Dary
Article

DOI: 10.1007/s10928-010-9160-6

Cite this article as:
Goldsmith, M., Transue, T.R., Chang, D.T. et al. J Pharmacokinet Pharmacodyn (2010) 37: 277. doi:10.1007/s10928-010-9160-6

Abstract

We describe the development and implementation of a Physiological and Anatomical Visual Analytics tool (PAVA), a web browser-based application, used to visualize experimental/simulated chemical time-course data (dosimetry), epidemiological data and Physiologically-Annotated Data (PAD). Using continuous color mapping scheme both spatial (organ shape and location) and temporal (time-course/kinetics) data was cast onto an abstract, layered, 2D visual representation of the human anatomy and physiology. This approach is aligned with the compartment-level of detail afforded by Physiologically-Based Pharmacokinetic (PBPK) modeling of chemical disposition. In this tutorial we provide several illustrative examples of how PAVA may be applied: (1) visualization of multiple organ/tissue simulated dosimetry of a previously published oral exposure route ethanol PBPK model, (2) visualization of PAD such as organ-specific disease time-lines or (3) tissue-specific mRNA expression-level profiles (e.g. phase I/II metabolic enzymes and nuclear receptors) to draw much needed molecular biological conclusions at organ-level resolution conducive to model development. Furthermore, discussion is raised on how graphical representations of PBPK models, and the use of PAVA more generally to visualize PAD, can be of benefit. We believe this novel platform-independent tool for visualizing PAD on physiologically-relevant representations of human anatomy will become a valuable visual analytic addition to the tool-kits of modern exposure scientists, computational biologists, toxicologists, biochemists, molecular biologists, epidemiologists and pathologists alike in visually translating, representing and mining complex PAD relationships required to understand systems biology or manage chemical risk.

Keywords

Physiologically-annotated dataDosimetryVisualizationVisual analyticsAnatomicalPhysiologicalServer-side applicationModel animationConcentration time-courseDisease progression timelinesModel renderingPBPKPBTK

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Copyright information

© US Government 2010

Authors and Affiliations

  • Michael-Rock Goldsmith
    • 1
  • Thomas R. Transue
    • 2
  • Daniel T. Chang
    • 1
  • Rogelio Tornero-Velez
    • 1
  • Michael S. Breen
    • 1
  • Curtis C. Dary
    • 1
  1. 1.National Exposure Research Laboratory, Human Exposure and Atmospheric Science DivisionU.S. Environmental Protection AgencyResearch Triangle ParkUSA
  2. 2.Lockheed-Martin Information TechnologyA Contractor to the U.S. Environmental Protection AgencyResearch Triangle ParkUSA