Orateur
Summary
I will present a dynamic whole-kidney modeling approach that aims to reproduce the clinically relevant input-output behavior of whole kidneys thanks to faithful representation of: the properties of individual nephron segments, nephro-vascular relationships in each kidney region, responses to hormones and renal nerve inputs, and relevant details of renal anatomy from the literature and also from recent structural reconstructions of rodent kidneys, which will provide new information on tubular characteristics and on the vascular organization of the human kidney. The legacy of renal modeling provides most of the needed quantitative descriptions of internal renal function (Thomas 2009), autoregulation of renal blood flow (Holstein-Rathlou & Marsh 1994), and much of the 3D anatomical structure (Zhai et al 2006; Pannabecker et al. 2008), but classic approaches are not well-suited to the dynamic whole-kidney integration sought here. We will thus use the hierarchical dynamic networks approach introduced recently (Moss 2009), starting with a published prototype model and building up to a complete model.
References:
Moss, R. et al. (2009). "A computational model for emergent dynamics in the kidney." Philos Transact A Math Phys Eng Sci 367(1896): 2125-40.
Nordsletten, D. A. et al. (2006). "Structural morphology of renal vasculature." Am J Physiol Heart Circ Physiol 291(1): H296-309.
Pannabecker, T. L., C. S. Henderson and W. H. Dantzler (2008). "Quantitative analysis of functional reconstructions reveals lateral and axial zonation in the renal inner medulla." Am J Physiol Renal Physiol 294(6): F1306-14.
Thomas, S. R. (2009). "Kidney Modeling and Systems Physiology." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 1: 172-190.
Zhai, X.-Y., J. S. Thomsen, H. Birn, I. B. Kristoffersen, A. Andreasen and E. I. Christensen (2006). "Three-Dimensional Reconstruction of the Mouse Nephron" J Am Soc Nephrol 17(1): 77-88.