Evidence map›Paper›PMID 25866235›Full record

ArticleMicrocirculation (New York, N.Y. : 1994)2015

Computational Network Model Prediction of Hemodynamic Alterations Due to Arteriolar Rarefaction and Estimation of Skeletal Muscle Perfusion in Peripheral Arterial Disease.

Joshua L Heuslein, Xuanyue Li, Kelsey P Murrell, Brian H Annex, Shayn M Peirce, Richard J Price

Abstract read
In one paragraph

Article in Microcirculation (New York, N.Y. : 1994), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Peripheral arterial disease: A small and large vessel problem.American heart journal plus : cardiology research and practice · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. MicroRNA-146a Regulates Perfusion Recovery in Response to Arterial OcclusionFrontiers in bioengineering and biotechnology · 2018
    Article
  9. Article
  10. Article
  11. The partitioning of nanoparticles to endothelium or interstitium during ultrasound-microbubble-targeted delivery depends on peak-negative pressure.Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology · 2015
    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

6 authors.

Joshua L HeusleinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Xuanyue LiDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Kelsey P MurrellDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Brian H AnnexDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Shayn M PeirceDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Richard J PriceDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.

Funding

Systems Biology of Angiogenesis in Peripheral Arterial DiseaseR01HL101200 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2010 to 2022
$10.7M
Angiogenesis and Mechanisms of Exercise Training in Peripheral Arterial DiseaseR01HL075752 · NHLBI · UNIVERSITY OF VIRGINIA · PI ANNEX, BRIAN H · 2003 to 2007
$4.2M
MicroRNA 93 in Peripheral Arterial DiseaseR01HL121635 · NHLBI · UNIVERSITY OF VIRGINIA · PI ANNEX, BRIAN H · 2014 to 2017
$1.6M
Molecular Transducers Linking Shear Stress to Capillary Sprouting and StabilityR21HL098632 · NHLBI · UNIVERSITY OF VIRGINIA · PI PRICE, RICHARD J. · 2010 to 2011
$424k
Application of Laser Speckle Flowmetry to Vascular RemodelingR03EB017927 · NIBIB · UNIVERSITY OF VIRGINIA · PI PRICE, RICHARD J. · 2014 to 2015
$153k
NHLBI NIH HHS R01 HL 075752NHLBI NIH HHS R01 HL075752NHLBI NIH HHS R01 HL101200NHLBI NIH HHS R01 HL121635NHLBI NIH HHS R21 HL098632NIBIB NIH HHS R03 EB017927
6 · The paper itself

Abstract

objectiveTo estimate the relative influence of input pressure and arteriole rarefaction on gastrocnemius muscle perfusion in patients with PAD after exercise and/or percutaneous interventions.

methodsA computational network model of the gastrocnemius muscle microcirculation was adapted to reflect rarefaction based on arteriolar density measurements from PAD patients, with and without exercise. A normalized input pressure was applied at the feeder artery to simulate both reduced and restored ABI in the PAD condition.

resultsIn simulations of arteriolar rarefaction, resistance increased non-linearly with rarefaction, leading to a disproportionally large drop in perfusion. In addition, perfusion was less sensitive to changes in input pressure as the degree of rarefaction increased. Reduced arteriolar density was observed in PAD patients and improved 33.8% after three months of exercise. In model simulations of PAD, ABI restoration yielded perfusion recovery to only 66% of baseline. When exercise training was simulated by reducing rarefaction, ABI restoration increased perfusion to 80% of baseline.

conclusionMicrovascular resistance increases non-linearly with increasing arteriole rarefaction. Therefore, muscle perfusion becomes disproportionally less sensitive to ABI restoration as arteriole rarefaction increases. These results highlight the importance of restoring both microvascular structure and upstream input pressure in PAD therapy.

Indexed as

Computer SimulationHemodynamicsModels, CardiovascularAnimalsArteriolesHumansMuscle, SkeletalPeripheral Arterial Diseasemicrocirculationnetwork modelperipheral artery diseaserarefaction

Identifiers

PMID25866235
PMCPMC4506703

What OpenQuestion holds

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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.