Evidence map›Paper›PMID 27574702›Full record

ArticleScience advances2016

Material-driven fibronectin assembly for high-efficiency presentation of growth factors.

Virginia Llopis-Hernández, Marco Cantini, Cristina González-García, Zhe A Cheng, Jingli Yang, Penelope M Tsimbouri, Andrés J García, Matthew J Dalby, Manuel Salmerón-Sánchez

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 138 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Virginia Llopis-HernándezDivision of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.
Marco CantiniDivision of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.
Cristina González-GarcíaDivision of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.
Zhe A ChengDivision of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.
Jingli YangCenter for Cell Engineering, Institute of Molecular Cell and Systems Biology, University of Glasgow, Joseph Black Building, University Avenue, Glasgow G12 8QQ, UK.
Penelope M TsimbouriCenter for Cell Engineering, Institute of Molecular Cell and Systems Biology, University of Glasgow, Joseph Black Building, University Avenue, Glasgow G12 8QQ, UK.
Andrés J GarcíaWoodruff School of Mechanical Engineering, Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, 315 First Drive, Atlanta, GA 30332, USA.
Matthew J DalbyCenter for Cell Engineering, Institute of Molecular Cell and Systems Biology, University of Glasgow, Joseph Black Building, University Avenue, Glasgow G12 8QQ, UK.
Manuel Salmerón-SánchezDivision of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.
University of Glasgow · GB

Funding

Hydrogels for hMSC delivery & engraftmentR01AR062368 · NIAMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 2012 to 2022
$3.5M
Osseo-reparative, integrin-specific materialsR01AR062920 · NIAMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 2012 to 2021
$3.2M
IVIS Spectrum in vivo Imaging SystemS10OD016264 · OD · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 2015 to 2015
$595k
Biotechnology and Biological Sciences Research Council BB/G008868/1Biotechnology and Biological Sciences Research Council JF20604Chief Scientist Office CZB/4/714Medical Research Council MR/L022710/1NIAMS NIH HHS R01 AR062368NIAMS NIH HHS R01 AR062920NIH HHS S10 OD016264
6 · The paper itself

Abstract

Growth factors (GFs) are powerful signaling molecules with the potential to drive regenerative strategies, including bone repair and vascularization. However, GFs are typically delivered in soluble format at supraphysiological doses because of rapid clearance and limited therapeutic impact. These high doses have serious side effects and are expensive. Although it is well established that GF interactions with extracellular matrix proteins such as fibronectin control GF presentation and activity, a translation-ready approach to unlocking GF potential has not been realized. We demonstrate a simple, robust, and controlled material-based approach to enhance the activity of GFs during tissue healing. The underlying mechanism is based on spontaneous fibrillar organization of fibronectin driven by adsorption onto the polymer poly(ethyl acrylate). Fibrillar fibronectin on this polymer, but not a globular conformation obtained on control polymers, promotes synergistic presentation of integrin-binding sites and bound bone morphogenetic protein 2 (BMP-2), which enhances mesenchymal stem cell osteogenesis in vitro and drives full regeneration of a nonhealing bone defect in vivo at low GF concentrations. This simple and translatable technology could unlock the full regenerative potential of GF therapies while improving safety and cost-effectiveness.

Indexed as

Regenerative MedicineAcrylic ResinsBinding SitesBone Morphogenetic Protein 2Bone RegenerationCell Culture TechniquesCell DifferentiationFibronectinsHumansIntegrinsIntercellular Signaling Peptides and ProteinsMesenchymal Stem CellsOsteogenesisPolymersAcrylic ResinsBMP2 protein, humanBone Morphogenetic Protein 2FibronectinsIntegrinsIntercellular Signaling Peptides and Proteinspoly(ethylacrylate)PolymersbiomaterialsBMP-2Bone Regenerationfibronectingrowth factors

Identifiers

PMID27574702
PMCPMC5001810
OpenAlexW2517690144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.