Pulsatile blood flow, shear force, energy dissipation and Murray's Law

BackgroundMurray's Law states that, when a parent blood vessel branches into daughter vessels, the cube of the radius of the parent vessel is equal to the sum of the cubes of the radii of daughter blood vessels. Murray derived this law by defining a cost function that is the sum of the energy cost of the blood in a vessel and the energy cost of pumping blood through the vessel. The cost is minimized when vessel radii are consistent with Murray's Law. This law has also been derived from the hypothesis that the shear force of moving blood on the inner walls of vessels is constant throughout the vascular system. However, this derivation, like Murray's earlier derivation, is based on the assumption of constant blood flow.MethodsTo determine the implications of the constant shear force hypothesis and to extend Murray's energy cost minimization to the pulsatile arterial system, a model of pulsatile flow in an elastic tube is analyzed. A new and exact solution for flow velocity, blood flow rate and shear force is derived.ResultsFor medium and small arteries with pulsatile flow, Murray's energy minimization leads to Murray's Law. Furthermore, the hypothesis that the maximum shear force during the cycle of pulsatile flow is constant throughout the arterial system implies that Murray's Law is approximately true. The approximation is good for all but the largest vessels (aorta and its major branches) of the arterial system.ConclusionA cellular mechanism that senses shear force at the inner wall of a blood vessel and triggers remodeling that increases the circumference of the wall when a shear force threshold is exceeded would result in the observed scaling of vessel radii described by Murray's Law.

[1]  C D Murray,et al.  The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume. , 1926, Proceedings of the National Academy of Sciences of the United States of America.

[2]  G. Arfken,et al.  Mathematical methods for physicists 6th ed. , 1996 .

[3]  J. Womersley Oscillatory flow in arteries: the constrained elastic tube as a model of arterial flow and pulse transmission. , 1957, Physics in medicine and biology.

[4]  James H. Brown,et al.  A General Model for the Origin of Allometric Scaling Laws in Biology , 1997, Science.

[5]  J. Weitz,et al.  Re-examination of the "3/4-law" of metabolism. , 2000, Journal of theoretical biology.

[6]  Y. Fung,et al.  The pattern of coronary arteriolar bifurcations and the uniform shear hypothesis , 2006, Annals of Biomedical Engineering.

[7]  C. D. Murray THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK APPLIED TO THE ANGLE OF BRANCHING OF ARTERIES , 1926, The Journal of general physiology.

[8]  Nicolas P Smith,et al.  Structural morphology of renal vasculature. , 2006, American journal of physiology. Heart and circulatory physiology.

[9]  P. Lambossy,et al.  Oscillations Forcees d'un Liquide Incompressible et Visqueux Dans un Tube Rigide et Horizontal, Calcul de la Force Frottement. , 1952 .

[10]  R. Rosenson,et al.  Distribution of blood viscosity values and biochemical correlates in healthy adults. , 1994, Clinical chemistry.

[11]  D. Cosgrove,et al.  Colour doppler ultrasound of the lumbar arteries: a novel application and reproducibility study in healthy subjects. , 2006, Ultrasound in medicine & biology.

[12]  G. Kassab Scaling laws of vascular trees: of form and function. , 2006, American journal of physiology. Heart and circulatory physiology.

[13]  G S Kassab,et al.  Analysis of blood flow in the entire coronary arterial tree. , 2005, American journal of physiology. Heart and circulatory physiology.

[14]  Giovanna Guidoboni,et al.  Blood Flow in Compliant Arteries: An Effective Viscoelastic Reduced Model, Numerics, and Experimental Validation , 2006, Annals of Biomedical Engineering.

[15]  G S Kassab,et al.  On the design of the coronary arterial tree: a generalization of Murray's law , 1999 .

[16]  H. Bengtsson,et al.  A simple model for the arterial system. , 2003, Journal of theoretical biology.

[17]  G. Arfken Mathematical Methods for Physicists , 1967 .

[18]  A. Barakat,et al.  Secrets of the code: do vascular endothelial cells use ion channels to decipher complex flow signals? , 2006, Biomaterials.

[19]  José Guilherme Chaui-Berlinck,et al.  Response to `Comment on “A critical understanding of the fractal model of metabolic scaling'” , 2007, Journal of Experimental Biology.

[20]  J. Womersley XXIV. Oscillatory motion of a viscous liquid in a thin-walled elastic tube—I: The linear approximation for long waves , 1955 .

[21]  A. Barakat,et al.  A model for shear stress sensing and transmission in vascular endothelial cells. , 2003, Biophysical journal.

[22]  K. Sahu,et al.  A Re-examination of the , 2001 .