Evidence map›Paper›PMID 36867283›Full record

ArticleBiomechanics and modeling in mechanobiology2023

Investigating the effects of microstructural changes induced by myocardial infarction on the elastic parameters of the heart.

Laura Miller, Raimondo Penta

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Multifunctional bioelectronics for brain-body circuits.Nature reviews bioengineering · 2025
    Article
  7. 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

2 authors.

Laura MillerSchool of Mathematics and Statistics, University of Glasgow, University Place, Glasgow, G12 8QQ, UK.
Raimondo PentaSchool of Mathematics and Statistics, University of Glasgow, University Place, Glasgow, G12 8QQ, UK. Raimondo.Penta@glasgow.ac.uk.ORCID http://orcid.org/0000-0003-1202-8775

Funding

Engineering and Physical Sciences Research Council EP/N509668/1Engineering and Physical Sciences Research Council EP/S030875/1Engineering and Physical Sciences Research Council >EP/T017899/1
6 · The paper itself

Abstract

Within this work, we investigate how physiologically observed microstructural changes induced by myocardial infarction impact the elastic parameters of the heart. We use the LMRP model for poroelastic composites (Miller and Penta in Contin Mech Thermodyn 32:1533-1557, 2020) to describe the microstructure of the myocardium and investigate microstructural changes such as loss of myocyte volume and increased matrix fibrosis as well as increased myocyte volume fraction in the areas surrounding the infarct. We also consider a 3D framework to model the myocardium microstructure with the addition of the intercalated disks, which provide the connections between adjacent myocytes. The results of our simulations agree with the physiological observations that can be made post-infarction. That is, the infarcted heart is much stiffer than the healthy heart but with reperfusion of the tissue it begins to soften. We also observe that with the increase in myocyte volume of the non-damaged myocytes the myocardium also begins to soften. With a measurable stiffness parameter the results of our model simulations could predict the range of porosity (reperfusion) that could help return the heart to the healthy stiffness. It would also be possible to predict the volume of the myocytes in the area surrounding the infarct from the overall stiffness measurements.

Indexed as

HeartMyocardial InfarctionHumansMyocardiumAsymptotic homogenizationComputational modellingMyocardial infarctionPoroelasticity

Identifiers

PMID36867283
PMCPMC10167178

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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.