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Am J Physiol Heart Circ Physiol 296: H303-H309, 2009. First published November 21, 2008; doi:10.1152/ajpheart.00360.2008
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Optimal postnodal lymphatic network structure that maximizes active propulsion of lymph

Arun M. Venugopal, Christopher M. Quick, Glen A. Laine, and Randolph H. Stewart

Michael E. DeBakey Institute, Texas A & M University, College Station, Texas

Submitted 6 April 2008 ; accepted in final form 13 November 2008

The lymphatic system acts to return lower-pressured interstitial fluid to the higher-pressured veins by a complex network of vessels spanning more than three orders of magnitude in size. Lymphatic vessels consist of lymphangions, segments of vessels between two unidirectional valves, which contain smooth muscle that cyclically pumps lymph against a pressure gradient. Whereas the principles governing the optimal structure of arterial networks have been identified by variations of Murray's law, the principles governing the optimal structure of the lymphatic system have yet to be elucidated, although lymph flow can be identified as a critical parameter. The reason for this deficiency can be identified. Until recently, there has been no algebraic formula, such as Poiseuille's law, that relates lymphangion structure to its function. We therefore employed a recently developed mathematical model, based on the time-varying elastance model conventionally used to describe ventricular function, that was validated by data collected from postnodal bovine mesenteric lymphangions. From this lymphangion model, we developed a model to determine the structure of a lymphatic network that optimizes lymph flow. The model predicted that there is a lymphangion length that optimizes lymph flow and that symmetrical networks optimize lymph flow when the lymphangions downstream of a bifurcation are 1.26 times the length of the lymphangions immediately upstream. Measured lymphangion lengths (1.14 ± 0.5 cm, n = 74) were consistent with the range of predicted optimal lengths (0.1–2.1 cm). This modeling approach was possible, because it allowed a structural parameter, such as length, to be treated as a variable.

optimum; edema; fractal



Address for reprint requests and other correspondence: C. M. Quick, TAMU 4466, Texas A & M Univ., College Station, TX 77843-4466 (e-mail: cquick{at}cvm.tamu.edu)







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