Evidence map›Paper›PMID 39474062›Full record

ArticleExtreme Mechanics Letters2022

Biomechanical phenotyping of minuscule soft tissues: An example in the rodent tricuspid valve.

William D Meador, Mrudang Mathur, Sotirios Kakaletsis, Chien-Yu Lin, Matthew R Bersi, Manuel K Rausch

Abstract read
In one paragraph

Article in Extreme Mechanics Letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The Tricuspid Valve Maladapts in a Pulmonary Hypertension Rat Model.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. A Brief Note on Building Augmented Reality Models for Scientific Visualization.Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering · 2023
    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.

William D MeadorUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W Dean Keeton Street, Austin, 78712, TX, United States of America.
Mrudang MathurUniversity of Texas at Austin, Department of Mechanical Engineering, 204 E Dean Keeton Street, Austin, 78712, TX, United States of America.
Sotirios KakaletsisUniversity of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, 2617 Wichita Street, Austin, 78712, TX, United States of America.
Chien-Yu LinUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W Dean Keeton Street, Austin, 78712, TX, United States of America.
Matthew R BersiWashington University in St. Louis, Department of Mechanical Engineering and Materials Science, 1 Brookings Drive, St. Louis, 63130, MO, United States of America.
Manuel K RauschUniversity of Texas at Austin, Department of Biomedical Engineering, 107 W Dean Keeton Street, Austin, 78712, TX, United States of America.

Funding

Identification of immunotherapeutic targets in cardiovascular diseaseR00HL146951 · NHLBI · WASHINGTON UNIVERSITY · PI BERSI, MATTHEW RYAN · 2020 to 2022
$747k
Tricuspid valve adaptation to right heart disease: A multiscale, histomechanical study in sheepF31HL145976 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI MEADOR, WILLIAM D · 2019 to 2021
$90k
American Heart Association-American Stroke Association 18CDA34120028NHLBI NIH HHS F31 HL145976NHLBI NIH HHS R00 HL146951
6 · The paper itself

Abstract

The biomechanical phenotype of soft tissues - i.e., the sum of spatially- and directionally-varying mechanical properties - is a critical marker of tissue health and disease. While biomechanical phenotyping is always challenging, it is particularly difficult with miniscule tissues. For example, tissues from small animal models are often only millimeters in size, which prevents the use of traditional test methods, such as uniaxial tensile testing. To overcome this challenge, our current work describes and tests a novel experimental and numerical pipeline. First, we introduce a micro-bulge test device with which we pressurize and inflate miniscule soft tissues. We combine this microbulge device with an optical coherence tomography device to also image the samples during inflation. Based on pressure data and images we then perform inverse finite element simulations to identify our tissues' unknown material parameters. For validation, we identify the material parameters of a thin sheet of latex rubber via both uniaxial tensile testing and via our novel pipeline. Next, we demonstrate our pipeline against anterior tricuspid valve leaflets from rats. The resulting material parameters for these tissues compare excellently with data collected in sheep via standard planar biaxial testing. Additionally, we show that our device is compatible with other imaging modalities such as 2-Photon microscopy. To this end, we image the in-situ microstructural changes of the leaflets during inflation using second harmonic generation imaging. In summary, we introduce a novel pipeline to biomechanically phenotype miniscule soft tissues and demonstrate its value by phenotyping the biomechanics of the anterior tricuspid valve leaflets from rats.

Indexed as

biaxial testingbulge testingheart valvemembranemurinerat

Identifiers

PMID39474062
PMCPMC11521389

What OpenQuestion holds

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Registered trials

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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.