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Investigation of microvascular morphological measures for skeletal muscle tissue oxygenation by image-based modelling in 3D

Investigation of microvascular morphological measures for skeletal muscle tissue oxygenation by image-based modelling in 3D
Investigation of microvascular morphological measures for skeletal muscle tissue oxygenation by image-based modelling in 3D
The supply of oxygen in sufficient quantity is vital for the correct functioning of all organs in the human body, namely for skeletal muscle during exercise. Traditionally, microvascular oxygen supply capability is assessed by analysis of morphological measures on transverse cross-sections of muscle, e.g., capillary density or capillary-to-fibre ratio. In this work we are investigating the relationship between microvascular structure and muscle tissue oxygenation in mice. Phase contrast imaging was performed using synchrotron radiation computed tomography (SR CT) to visualize red blood cells (RBCs) within the microvasculature in mouse soleus muscle. Image-based mathematical modelling of the oxygen diffusion from the red blood cells into the muscle tissue was subsequently performed, as well as a morphometric analysis of the microvasculature. The mean tissue oxygenation was then compared to morphological measures of the microvasculature. RBC volume fraction and spacing (mean distance of any point in tissue to closest RBC) emerged as the best predictors for muscle tissue oxygenation, followed by length density (summed RBC length over muscle volume). The 2D measures of capillary density and capillary-to-fibre ratio ranked last. We therefore conclude, that in order to assess states of health of muscle tissue it is advisable to rely on 3D morphological measures rather than the traditional 2D measures.
Zeller-Plumhoff, Berit
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Daly, Keith
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Clough, Geraldine
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Schneider, Philipp
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Roose, Tiina
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Zeller-Plumhoff, Berit
1a9d6525-3f1f-4a0b-89ba-e5042ceb37f4
Daly, Keith
29920932-1779-4d08-81f8-bdd898191e5a
Clough, Geraldine
9f19639e-a929-4976-ac35-259f9011c494
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe

Zeller-Plumhoff, Berit, Daly, Keith, Clough, Geraldine, Schneider, Philipp and Roose, Tiina (2017) Investigation of microvascular morphological measures for skeletal muscle tissue oxygenation by image-based modelling in 3D. Journal of the Royal Society Interface, 14 (135), [20170635]. (doi:10.1098/rsif.2017.0635).

Record type: Article

Abstract

The supply of oxygen in sufficient quantity is vital for the correct functioning of all organs in the human body, namely for skeletal muscle during exercise. Traditionally, microvascular oxygen supply capability is assessed by analysis of morphological measures on transverse cross-sections of muscle, e.g., capillary density or capillary-to-fibre ratio. In this work we are investigating the relationship between microvascular structure and muscle tissue oxygenation in mice. Phase contrast imaging was performed using synchrotron radiation computed tomography (SR CT) to visualize red blood cells (RBCs) within the microvasculature in mouse soleus muscle. Image-based mathematical modelling of the oxygen diffusion from the red blood cells into the muscle tissue was subsequently performed, as well as a morphometric analysis of the microvasculature. The mean tissue oxygenation was then compared to morphological measures of the microvasculature. RBC volume fraction and spacing (mean distance of any point in tissue to closest RBC) emerged as the best predictors for muscle tissue oxygenation, followed by length density (summed RBC length over muscle volume). The 2D measures of capillary density and capillary-to-fibre ratio ranked last. We therefore conclude, that in order to assess states of health of muscle tissue it is advisable to rely on 3D morphological measures rather than the traditional 2D measures.

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Accepted/In Press date: 12 September 2017
e-pub ahead of print date: 11 October 2017
Published date: October 2017
Additional Information: dataset DOI 10.5258/SOTON/D0230

Identifiers

Local EPrints ID: 414199
URI: http://eprints.soton.ac.uk/id/eprint/414199
PURE UUID: e86d8c4a-4836-4bf2-87ce-6492d4f649f0
ORCID for Geraldine Clough: ORCID iD orcid.org/0000-0002-6226-8964
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576
ORCID for Tiina Roose: ORCID iD orcid.org/0000-0001-8710-1063

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Date deposited: 18 Sep 2017 16:31
Last modified: 07 Oct 2020 05:52

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