Evidence map›Paper›PMID 39008917›Full record

ArticleJournal of biomechanics2024

Aortic tissue stiffness and tensile strength are correlated with density changes following proteolytic treatment.

Pete H Gueldner, Cyrus J Darvish, Isabelle K M Chickanosky, Emma E Ahlgren, Ronald Fortunato, Timothy K Chung, Keshava Rajagopal, Chandler C Benjamin, Spandan Maiti, Kumbakonam R Rajagopal and 1 more

Abstract read
In one paragraph

Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
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

11 authors.

Pete H GueldnerDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Cyrus J DarvishDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Isabelle K M ChickanoskyDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Emma E AhlgrenDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Ronald FortunatoDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Timothy K ChungDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Keshava RajagopalDepartment of Cardiac Surgery, Jefferson University, Philadelphia, PA, USA.
Chandler C BenjaminDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
Spandan MaitiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Kumbakonam R RajagopalDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
David A VorpDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA; Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, USA; Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: vorp@pitt.edu.

Funding

Cellular Approaches to Tissue Engineering/RegenerationT32EB001026 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W, MONGA, SATDARSHAN SINGH · 2003 to 2024
$5.5M
Advancing a Novel, Density-Driven, Non-Invasive Thoracic Aortic Aneurysm Strength Assessment ToolF31HL176099 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GUELDNER, PETE · 2025 to 2025
$50k
NHLBI NIH HHS F31 HL176099NIBIB NIH HHS T32 EB001026
6 · The paper itself

Abstract

introductionDissection or rupture of the aorta is accompanied by high mortality rates, and there is a pressing need for better prediction of these events for improved patient management and clinical outcomes. Biomechanically, these events represent a situation wherein the locally acting wall stress exceed the local tissue strength. Based on recent reports for polymers, we hypothesized that aortic tissue failure strength and stiffness are directly associated with tissue mass density. The objective of this work was to test this novel hypothesis for porcine thoracic aorta.

methodsThree tissue specimens from freshly harvested porcine thoracic aorta were treated with either collagenase or elastase to selectively degrade structural proteins in the tissue, or with phosphate buffer saline (control). The tissue mass and volume of each specimen were measured before and after treatment to allow for density calculation, then mechanically tested to failure under uniaxial extension.

resultsProtease treatments resulted in statistically significant tissue density reduction (sham vs. collagenase p = 0.02 and sham vs elastase p = 0.003), which in turn was significantly and directly correlated with both ultimate tensile strength (sham vs. collagenase p = 0.02 and sham vs elastase p = 0.03) and tangent modulus (sham vs. collagenase p = 0.007 and sham vs elastase p = 0.03).

conclusionsThis work demonstrates for the first time that tissue stiffness and tensile strength are directly correlated with tissue density in proteolytically-treated aorta. These findings constitute an important step towards understanding aortic tissue failure mechanisms and could potentially be leveraged for non-invasive aortic strength assessment through density measurements, which could have implications to clinical care.

Indexed as

Aorta, ThoracicTensile StrengthAnimalsCollagenasesPancreatic ElastaseProteolysisStress, MechanicalSwineVascular StiffnessCollagenasesPancreatic Elastase

Identifiers

PMID39008917
PMCPMC13559780

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.