Evidence map›Paper›PMID 26055347›Full record

ArticleBiomechanics and modeling in mechanobiology2016

A triphasic constrained mixture model of engineered tissue formation under in vitro dynamic mechanical conditioning.

Joao S Soares, Michael S Sacks

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Silk fibroin microgels as a platform for cell microencapsulation.Journal of materials science. Materials in medicine · 2022
    Article
  4. Article
  5. Computational models of cardiac hypertrophy.Progress in biophysics and molecular biology · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Mechanobiological Stability of Biological Soft Tissues.Journal of the mechanics and physics of solids · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Joao S SoaresCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences (ICES), Department of Biomedical Engineering, The University of Texas at Austin, 201 East 24th Street, Austin, TX, 78712-1129, USA.
Michael S SacksCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences (ICES), Department of Biomedical Engineering, The University of Texas at Austin, 201 East 24th Street, Austin, TX, 78712-1129, USA. 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 HL- 068816NHLBI NIH HHS R01 HL068816NHLBI NIH HHS R01 HL-089750NHLBI NIH HHS R01 HL089750
6 · The paper itself

Abstract

While it has become axiomatic that mechanical signals promote in vitro engineered tissue formation, the underlying mechanisms remain largely unknown. Moreover, efforts to date to determine parameters for optimal extracellular matrix (ECM) development have been largely empirical. In the present work, we propose a two-pronged approach involving novel theoretical developments coupled with key experimental data to develop better mechanistic understanding of growth and development of dense connective tissue under mechanical stimuli. To describe cellular proliferation and ECM synthesis that occur at rates of days to weeks, we employ mixture theory to model the construct constituents as a nutrient-cell-ECM triphasic system, their transport, and their biochemical reactions. Dynamic conditioning protocols with frequencies around 1 Hz are described with multi-scale methods to couple the dissimilar time scales. Enhancement of nutrient transport due to pore fluid advection is upscaled into the growth model, and the spatially dependent ECM distribution describes the evolving poroelastic characteristics of the scaffold-engineered tissue construct. Simulation results compared favorably to the existing experimental data, and most importantly, distinguish between static and dynamic conditioning regimes. The theoretical framework for mechanically conditioned tissue engineering (TE) permits not only the formulation of novel and better-informed mechanistic hypothesis describing the phenomena underlying TE growth and development, but also the exploration/optimization of conditioning protocols in a rational manner.

Indexed as

Models, BiologicalAnimalsApoptosisBiomechanical PhenomenaBioreactorsCell ProliferationDNAElasticityExtracellular MatrixOxygenPorositySheepTime FactorsTissue EngineeringDNAOxygenFunctional tissue engineeringGrowth and remodelingHeart valveMulti-scale modelingPoroelasticityReaction-diffusion

Identifiers

PMID26055347
PMCPMC4712131

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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.