Evidence map›Paper›PMID 38949730›Full record

ArticleAnnals of biomedical engineering2024

Instability in Computational Models of Vascular Smooth Muscle Cell Contraction.

Alessandro Giudici, Jason M Szafron, Abhay B Ramachandra, Bart Spronck

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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

4 authors.

Alessandro Giudici *Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Universiteitssingel 40, Room C5.578A, Maastricht, 6229 ER, The Netherlands.ORCID http://orcid.org/0000-0002-8288-3980
Jason M Szafron *Department of Pediatrics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9476-5175
Abhay B RamachandraDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-6275-501X
Bart SpronckDepartment of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Universiteitssingel 40, Room C5.578A, Maastricht, 6229 ER, The Netherlands. b.spronck@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0003-1076-1922

Funding

Association for Research into Arterial Structure and Physiology (ARTERY) 2019 Research Exchange grantEuropean Union's Horizon 2020 793805Netherlands Organisation for Scientific Research Rubicon 452172006
6 · The paper itself

Abstract

purposeThrough their contractile and synthetic capacity, vascular smooth muscle cells (VSMCs) can regulate the stiffness and resistance of the circulation. To model the contraction of blood vessels, an active stress component can be added to the (passive) Cauchy stress tensor. Different constitutive formulations have been proposed to describe this active stress component. Notably, however, measuring biomechanical behaviour of contracted blood vessels ex vivo presents several experimental challenges, which complicate the acquisition of comprehensive datasets to inform complex active stress models. In this work, we examine formulations for use with limited experimental contraction data as well as those developed to capture more comprehensive datasets.

methodsFirst, we prove analytically that a subset of constitutive active stress formulations exhibits unstable behaviours (i.e., a non-unique diameter solution for a given pressure) in certain parameter ranges, particularly for large contractile deformations. Second, using experimental literature data, we present two case studies where these formulations are used to capture the contractile response of VSMCs in the presence of (1) limited and (2) extensive contraction data.

resultsWe show how limited contraction data complicates selecting an appropriate active stress model for vascular applications, potentially resulting in unrealistic modelled behaviours.

conclusionOur data provide a useful reference for selecting an active stress model which balances the trade-off between accuracy and available biomechanical information. Whilst complex physiologically motivated models' superior accuracy is recommended whenever active biomechanics can be extensively characterised experimentally, a constant 2nd Piola-Kirchhoff active stress model balances well accuracy and applicability with sparse contractile data.

Indexed as

Models, CardiovascularMuscle, Smooth, VascularMyocytes, Smooth MuscleAnimalsComputer SimulationHumansMuscle ContractionStress, MechanicalActive stress modellingArterial mechanicsConstitutive modellingInstabilityVascular smooth muscle cell contractionVascular smooth muscle cells

Identifiers

PMID38949730
PMCPMC11329416

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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.