Evidence map›Paper›PMID 39847152›Full record

ArticleBulletin of mathematical biology2025

Key Structural Features of Microvascular Networks Leading to the Formation of Multiple Equilibria.

George Atkinson, Yaron Ben-Ami, Philip Maini, Joe Pitt-Francis, Helen Byrne

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

George AtkinsonWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Rd, Oxford, Oxfordshire, OX2 6GG, UK. george.atkinson@maths.ox.ac.uk.ORCID http://orcid.org/0000-0002-2865-4861
Yaron Ben-Ami *Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Rd, Oxford, Oxfordshire, OX2 6GG, UK.
Philip Maini *Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Rd, Oxford, Oxfordshire, OX2 6GG, UK.
Joe Pitt-Francis *Department of Computer Science, University of Oxford, Parks Rd, Oxford, Oxfordshire, OX1 3QG, UK.
Helen ByrneWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Rd, Oxford, Oxfordshire, OX2 6GG, UK.

Funding

Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266
6 · The paper itself

Abstract

We analyse mathematical models of blood flow in two simple vascular networks in order to identify structural features that lead to the formation of multiple equilibria. Our models are based on existing rules for blood rheology and haematocrit splitting. By performing bifurcation analysis on these simple network flow models, we identify a link between the changing flow direction in key vessels and the existence of multiple equilibria. We refer to these key vessels as redundant vessels, and relate the maximum number of equilibria with the number of redundant vessels. We vary geometric parameters of the two networks, such as vessel length ratios and vessel diameters, to demonstrate that equilibria are uniquely defined by the flow in the redundant vessels. Equilibria typically emerge in sets of three, each having a different flow characteristic in one of the network's redundant vessels. For one of the three equilibria, the flow within the relevant redundant vessel will be smaller in magnitude than the other two and the redundant vessel will contain few Red Blood Cells (RBCs), if any. For the other two equilibria, the redundant vessel contains RBCs and significant flow in the two available directions. These structural features of networks provide a useful geometric property when studying the equilibria of blood flow in microvascular networks.

Indexed as

MicrocirculationMicrovesselsModels, CardiovascularAnimalsBlood Flow VelocityComputer SimulationErythrocytesHematocritHemorheologyHumansMathematical ConceptsMicrovascular blood flowMultiple equilibriaNetwork redundancy

Identifiers

PMID39847152
PMCPMC11757897

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