Evidence map›Paper›PMID 28613313›Full record

ArticleSoft matter2017

Heterogeneity is key to hydrogel-based cartilage tissue regeneration.

Shankar Lalitha Sridhar, Margaret C Schneider, Stanley Chu, Gaspard de Roucy, Stephanie J Bryant, Franck J Vernerey

Abstract read
In one paragraph

Article in Soft matter, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Shear Mechanics of Articular Cartilage and Cartilage-Inspired Materials.Annual review of condensed matter physics · 2026
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  20. Transient response of nonlinear polymer networks: A kinetic theory.Journal of the mechanics and physics of solids · 2018
    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.

Shankar Lalitha SridharDepartment of Mechanical Engineering, University of Colorado Boulder, USA.
Margaret C Schneider
Stanley Chu
Gaspard de Roucy
Stephanie J Bryant
Franck J Vernerey

Funding

Personalizing Matrix Assisted Autologous Chondrocyte ImplantationR01AR065441 · NIAMS · UNIVERSITY OF COLORADO · PI BRYANT, STEPHANIE J · 2013 to 2017
$1.5M
NIAMS NIH HHS R01 AR065441
6 · The paper itself

Abstract

Degradable hydrogels have been developed to provide initial mechanical support to encapsulated cells while facilitating the growth of neo-tissues. When cells are encapsulated within degradable hydrogels, the process of neo-tissue growth is complicated by the coupled phenomena of transport of large extracellular matrix macromolecules and the rate of hydrogel degradation. If hydrogel degradation is too slow, neo-tissue growth is hindered, whereas if it is too fast, complete loss of mechanical integrity can occur. Therefore, there is a need for effective modelling techniques to predict hydrogel designs based on the growth parameters of the neo-tissue. In this article, hydrolytically degradable hydrogels are investigated due to their promise in tissue engineering. A key output of the model focuses on the ability of the construct to maintain overall structural integrity as the construct transitions from a pure hydrogel to engineered neo-tissue. We show that heterogeneity in cross-link density and cell distribution is the key to this successful transition and ultimately to achieve tissue growth. Specifically, we find that optimally large regions of weak cross-linking around cells in the hydrogel and well-connected and dense cell clusters create the optimum conditions needed for neo-tissue growth while maintaining structural integrity. Experimental observations using cartilage cells encapsulated in a hydrolytically degradable hydrogel are compared with model predictions to show the potential of the proposed model.

Indexed as

Biocompatible MaterialsCartilageDiffusionElastic ModulusExtracellular MatrixHydrogelsKineticsRegenerationTissue EngineeringTissue ScaffoldsBiocompatible MaterialsHydrogels

Identifiers

PMID28613313
PMCPMC5552053

What OpenQuestion holds

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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.