Evidence map›Paper›PMID 27344402›Full record

ArticleJournal of the mechanical behavior of biomedical materials2016

Large strain stimulation promotes extracellular matrix production and stiffness in an elastomeric scaffold model.

Antonio D'Amore, Joao S Soares, John A Stella, Will Zhang, Nicholas J Amoroso, John E Mayer, William R Wagner, Michael S Sacks

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Flexible and Stretchable PEDOT-Embedded Hybrid Substrates for Bioengineering and Sensory Applications.ChemNanoMat : chemistry of nanomaterials for energy, biology and more · 2019
    Article
  4. Article
  5. Article
  6. 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

8 authors.

Antonio D'AmoreDepartment of Bioengineering McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Fondazione RiMED, Italy; DICGIM, Università di Palermo, Italy.
Joao S SoaresCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
John A StellaDepartment of Bioengineering McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Will ZhangCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Nicholas J AmorosoDepartment of Bioengineering McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
John E MayerDepartment of Cardiac Surgery Boston Children׳s Hospital and Harvard Medical School, Boston, MA, USA.
William R WagnerDepartment of Bioengineering McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Michael S SacksCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. Electronic address: msacks@ices.utexas.edu.

Funding

Biomechanical Optimization of TE Heart ValvesR01HL068816 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WAGNER, WILLIAM R · 2002 to 2011
$3.1M
Mechanisms of In-Vivo Remodeling in Tissue Engineered Heart ValvesR01HL089750 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI SACKS, MICHAEL S · 2007 to 2010
$3.1M
NHLBI NIH HHS R01 HL068816NHLBI NIH HHS R01 HL089750
6 · The paper itself

Abstract

Mechanical conditioning of engineered tissue constructs is widely recognized as one of the most relevant methods to enhance tissue accretion and microstructure, leading to improved mechanical behaviors. The understanding of the underlying mechanisms remains rather limited, restricting the development of in silico models of these phenomena, and the translation of engineered tissues into clinical application. In the present study, we examined the role of large strip-biaxial strains (up to 50%) on ECM synthesis by vascular smooth muscle cells (VSMCs) micro-integrated into electrospun polyester urethane urea (PEUU) constructs over the course of 3 weeks. Experimental results indicated that VSMC biosynthetic behavior was quite sensitive to tissue strain maximum level, and that collagen was the primary ECM component synthesized. Moreover, we found that while a 30% peak strain level achieved maximum ECM synthesis rate, further increases in strain level lead to a reduction in ECM biosynthesis. Subsequent mechanical analysis of the formed collagen fiber network was performed by removing the scaffold mechanical responses using a strain-energy based approach, showing that the denovo collagen also demonstrated mechanical behaviors substantially better than previously obtained with small strain training and comparable to mature collagenous tissues. We conclude that the application of large deformations can play a critical role not only in the quantity of ECM synthesis (i.e. the rate of mass production), but also on the modulation of the stiffness of the newly formed ECM constituents. The improved understanding of the process of growth and development of ECM in these mechano-sensitive cell-scaffold systems will lead to more rational design and manufacturing of engineered tissues operating under highly demanding mechanical environments.

Indexed as

Stress, MechanicalTissue EngineeringTissue ScaffoldsAnimalsCells, CulturedCollagenElasticityElastomersExtracellular MatrixModels, TheoreticalMuscle, Smooth, VascularMyocytes, Smooth MuscleRats, Inbred LewCollagenElastomersECM (extracellular matrix)Elastomeric scaffoldMechanical conditioningMechanical properties

Identifiers

PMID27344402
PMCPMC4955736

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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 OpenQuestion graph.