Evidence map›Paper›PMID 35361847›Full record

ArticleScientific reports2022

Tissue-engineered collagenous fibrous cap models to systematically elucidate atherosclerotic plaque rupture.

T B Wissing, K Van der Heiden, S M Serra, A I P M Smits, C V C Bouten, F J H Gijsen

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

T B WissingDepartment of Biomedical Engineering, Thoraxcenter Erasmus Medical Center, Rotterdam, The Netherlands.
K Van der HeidenDepartment of Biomedical Engineering, Thoraxcenter Erasmus Medical Center, Rotterdam, The Netherlands.
S M SerraDepartment of Biomedical Engineering, Thoraxcenter Erasmus Medical Center, Rotterdam, The Netherlands.
A I P M SmitsDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
C V C BoutenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
F J H GijsenDepartment of Biomedical Engineering, Thoraxcenter Erasmus Medical Center, Rotterdam, The Netherlands. f.gijsen@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant amount of vascular thrombotic events are associated with rupture of the fibrous cap that overlie atherosclerotic plaques. Cap rupture is however difficult to predict due to the heterogenous composition of the plaque, unknown material properties, and the stochastic nature of the event. Here, we aim to create tissue engineered human fibrous cap models with a variable but controllable collagen composition, suitable for mechanical testing, to scrutinize the reciprocal relationships between composition and mechanical properties. Myofibroblasts were cultured in 1 × 1.5 cm-sized fibrin-based constrained gels for 21 days according to established (dynamic) culture protocols (i.e. static, intermittent or continuous loading) to vary collagen composition (e.g. amount, type and organization). At day 7, a soft 2 mm ∅ fibrin inclusion was introduced in the centre of each tissue to mimic the soft lipid core, simulating the heterogeneity of a plaque. Results demonstrate reproducible collagenous tissues, that mimic the bulk mechanical properties of human caps and vary in collagen composition due to the presence of a successfully integrated soft inclusion and the culture protocol applied. The models can be deployed to assess tissue mechanics, evolution and failure of fibrous caps or complex heterogeneous tissues in general.

Indexed as

Plaque, AtheroscleroticCollagenFibrosisHumansCollagen

Identifiers

PMID35361847
PMCPMC8971478

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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.