Evidence map›Paper›PMID 29021164›Full record

ArticleJournal of the Royal Society, Interface2017

Investigation of microvascular morphological measures for skeletal muscle tissue oxygenation by image-based modelling in three dimensions.

B Zeller-Plumhoff, K R Daly, G F Clough, P Schneider, T Roose

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

B Zeller-PlumhoffHelmholtz-Zentrum für Material- und Küstenforschung, Geesthacht, Germany berit.zeller-plumhoff@hzg.de.ORCID 0000-0002-7562-9423
K R DalyBioengineering Research Group, Faculty of Engineering and the Environment, , University of Southampton, Southampton, UK.ORCID 0000-0002-8622-7913
G F CloughFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-6226-8964
P SchneiderBioengineering Research Group, Faculty of Engineering and the Environment, , University of Southampton, Southampton, UK.ORCID 0000-0001-7499-3576
T RooseBioengineering Research Group, Faculty of Engineering and the Environment, , University of Southampton, Southampton, UK.ORCID 0000-0001-8710-1063
University of Southampton · GBHelmholtz-Zentrum Hereon · DE

Funding

British Heart Foundation PG/12/18/29453
6 · The paper itself

Abstract

The supply of oxygen in sufficient quantity is vital for the correct functioning of all organs in the human body, especially for skeletal muscle during exercise. Traditionally, microvascular oxygen supply capability is assessed by the analysis of morphological measures on transverse cross-sections of muscle, e.g. capillary density or capillary-to-fibre ratio. In this work, we investigate 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 RBCs into the muscle tissue was subsequently performed, as well as a morphometric analysis of the microvasculature. The mean tissue oxygenation was then compared with the morphological measures of the microvasculature. RBC volume fraction and spacing (mean distance of any point in tissue to the closest RBC) emerged as the best predictors for muscle tissue oxygenation, followed by length density (summed RBC length over muscle volume). The two-dimensional measures of capillary density and capillary-to-fibre ratio ranked last. We, therefore, conclude that, in order to assess the states of health of muscle tissue, it is advisable to rely on three-dimensional morphological measures rather than on the traditional two-dimensional measures.

Indexed as

Image Interpretation, Computer-AssistedMuscle, SkeletalPhysical Conditioning, AnimalSynchrotronsAnimalsErythrocytesHumansMaleMiceMicrocirculationOxygenOxygen ConsumptionOxygenimage-basedmodellingoxygenation

Identifiers

PMID29021164
PMCPMC5665837
OpenAlexW2760916037

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.