Literature DB >> 25217657

Hematocrit dispersion in asymmetrically bifurcating vascular networks.

Krishna Sriram1, Marcos Intaglietta2, Daniel M Tartakovsky3.   

Abstract

Quantitative modeling of physiological processes in vasculatures requires an accurate representation of network topology, including vessel branching. We propose a new approach for reconstruction of vascular network, which determines how vessel bifurcations distribute red blood cells (RBC) in the microcirculation. Our method follows the foundational premise of Murray's law in postulating the existence of functional optimality of such networks. It accounts for the non-Newtonian behavior of blood by allowing the apparent blood viscosity to vary with discharge hematocrit and vessel radius. The optimality criterion adopted in our approach is the physiological cost of supplying oxygen to the tissue surrounding a blood vessel. Bifurcation asymmetry is expressed in terms of the amount of oxygen consumption associated with the respective tissue volumes being supplied by each daughter vessel. The vascular networks constructed with our approach capture a number of physiological characteristics observed in in vivo studies. These include the nonuniformity of wall shear stress in the microcirculation, the significant increase in pressure gradients in the terminal sections of the network, the nonuniformity of both the hematocrit partitioning at vessel bifurcations and hematocrit across the capillary bed, and the linear relationship between the RBC flux fraction and the blood flow fraction at bifurcations.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  Murray's law; bifurcation; hematocrit; red blood cell distribution; vascular network

Mesh:

Substances:

Year:  2014        PMID: 25217657      PMCID: PMC4255010          DOI: 10.1152/ajpheart.00283.2014

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


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1.  Regulation of shear stress in the canine coronary microcirculation.

Authors:  D W Stepp; Y Nishikawa; W M Chilian
Journal:  Circulation       Date:  1999-10-05       Impact factor: 29.690

2.  Comparison of various approaches to calculating the optimal hematocrit in vertebrates.

Authors:  Heiko Stark; Stefan Schuster
Journal:  J Appl Physiol (1985)       Date:  2012-05-17

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4.  An optimization principle for vascular radius including the effects of smooth muscle tone.

Authors:  L A Taber
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5.  Optimization of diameters and bifurcation angles in lung and vascular tree structures.

Authors:  H B Uylings
Journal:  Bull Math Biol       Date:  1977       Impact factor: 1.758

6.  Redistribution of coronary microvascular resistance produced by dipyridamole.

Authors:  W M Chilian; S M Layne; E C Klausner; C L Eastham; M L Marcus
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7.  Ratio of cells and plasma in blood flowing past branches in small plastic channels.

Authors:  J W Dellimore; M J Dunlop; P B Canham
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8.  Venous oxygenation in the diabetic neuropathic foot: evidence of arteriovenous shunting?

Authors:  A J Boulton; J H Scarpello; J D Ward
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9.  Microvascular blood flow: evidence indicating a cubic dependence on arteriolar diameter.

Authors:  H N Mayrovitz; J Roy
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