Literature DB >> 7503269

Structure and hemodynamics of microvascular networks: heterogeneity and correlations.

A R Pries1, T W Secomb, P Gaehtgens.   

Abstract

The objective of this study was to quantify the heterogeneity of topological, morphological, and hemodynamic parameters in microvascular networks and to identify functionally relevant correlations among these parameters. Seven networks in the rat mesentery (383-913 vessel segments per network) were examined, and measurements were made of segment generation, diameter, length, and hematocrit in all segments (n = 3,129) and of flow velocity (only in 3 networks, 1,321 segments). In addition, hematocrit, flow rate, and pressure were derived for all segments from a mathematical simulation. All parameters obtained exhibit heterogeneous distributions with coefficients of variation ranging from 0.28 (capillary diameter) to > 1.5 (volume flow and pressure gradient). Several strong correlations exist between parameters, e.g., discharge hematocrit increases with vessel diameter, and shear rate increases with intravascular pressure. Because of such correlations, the extrapolation from average values for "typical vessels" to network properties can lead to substantial errors. For example, the mean network transit time estimated based on averaged quantities is 6.5 s, which is about 60% higher than the true value (4.08 s). Simplified models of the vascular bed may therefore be inadequate to describe functional properties of the microcirculation.

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Year:  1995        PMID: 7503269     DOI: 10.1152/ajpheart.1995.269.5.H1713

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  46 in total

1.  Theoretical comparison of wall-derived and erythrocyte-derived mechanisms for metabolic flow regulation in heterogeneous microvascular networks.

Authors:  Tuhin K Roy; Axel R Pries; Timothy W Secomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-03-09       Impact factor: 4.733

2.  Cerebral blood flow modeling in primate cortex.

Authors:  Romain Guibert; Caroline Fonta; Franck Plouraboué
Journal:  J Cereb Blood Flow Metab       Date:  2010-07-21       Impact factor: 6.200

3.  From one generation to the next: a comprehensive account of sympathetic receptor control in branching arteriolar trees.

Authors:  Baraa K Al-Khazraji; Amani Saleem; Daniel Goldman; Dwayne N Jackson
Journal:  J Physiol       Date:  2015-07-15       Impact factor: 5.182

4.  Relation between branching patterns and perfusion in stochastic generated coronary arterial trees.

Authors:  J Dankelman; A J M Cornelissen; J Lagro; E Vanbavel; J A E Spaan
Journal:  Med Biol Eng Comput       Date:  2007-01-03       Impact factor: 2.602

5.  Origins of heterogeneity in tissue perfusion and metabolism.

Authors:  Axel R Pries; Timothy W Secomb
Journal:  Cardiovasc Res       Date:  2008-11-21       Impact factor: 10.787

Review 6.  The microcirculation: physiology at the mesoscale.

Authors:  Timothy W Secomb; Axel R Pries
Journal:  J Physiol       Date:  2011-01-17       Impact factor: 5.182

7.  Model-based inference from microvascular measurements: Combining experimental measurements and model predictions using a Bayesian probabilistic approach.

Authors:  Peter M Rasmussen; Amy F Smith; Sava Sakadžić; David A Boas; Axel R Pries; Timothy W Secomb; Leif Østergaard
Journal:  Microcirculation       Date:  2017-05       Impact factor: 2.628

8.  Effects of perfusion rate on permeability of frog and rat mesenteric microvessels to sodium fluorescein.

Authors:  D Montermini; C P Winlove; C Michel
Journal:  J Physiol       Date:  2002-09-15       Impact factor: 5.182

Review 9.  Theoretical models for regulation of blood flow.

Authors:  Timothy W Secomb
Journal:  Microcirculation       Date:  2008-11       Impact factor: 2.628

10.  Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS).

Authors:  Sergio Fantini
Journal:  Neuroimage       Date:  2013-04-10       Impact factor: 6.556

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