Evidence map›Paper›PMID 21088985›Full record

ReviewPharmaceutical research2011

Bioactive electrospun scaffolds delivering growth factors and genes for tissue engineering applications.

Wei Ji, Yan Sun, Fang Yang, Jeroen J J P van den Beucken, Mingwen Fan, Zhi Chen, John A Jansen

Open access · hybridAbstract readReview
In one paragraph

Review in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 404 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. Review
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  9. Article
  10. Mapping Biomaterial Complexity by Machine Learning.Tissue engineering. Part A · 2024
    Review
  11. Article
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48 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Wei JiDepartment of Biomaterials Dentistry 309, Radboud University Nijmegen Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
Yan Sun
Fang Yang
Jeroen J J P van den Beucken
Mingwen Fan
Zhi Chen
John A Jansen
Wuhan University · CNRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A biomaterial scaffold is one of the key factors for successful tissue engineering. In recent years, an increasing tendency has been observed toward the combination of scaffolds and biomolecules, e.g. growth factors and therapeutic genes, to achieve bioactive scaffolds, which not only provide physical support but also express biological signals to modulate tissue regeneration. Huge efforts have been made on the exploration of strategies to prepare bioactive scaffolds. Within the past five years, electrospun scaffolds have gained an exponentially increasing popularity in this area because of their ultrathin fiber diameter and large surface-volume ratio, which is favored for biomolecule delivery. This paper reviews current techniques that can be used to prepare bioactive electrospun scaffolds, including physical adsorption, blend electrospinning, coaxial electrospinning, and covalent immobilization. In addition, this paper also analyzes the existing challenges (i.e., protein instability, low gene transfection efficiency, and difficulties in accurate kinetics prediction) to achieve biomolecule release from electrospun scaffolds, which necessitate further research to fully exploit the biomedical applications of these bioactive scaffolds.

Indexed as

Gene Transfer TechniquesTissue ScaffoldsAnimalsBiocompatible MaterialsElectrochemical TechniquesHumansIntercellular Signaling Peptides and ProteinsTissue EngineeringBiocompatible MaterialsIntercellular Signaling Peptides and Proteins

Identifiers

PMID21088985
PMCPMC3098998
OpenAlexW2092891570

What OpenQuestion holds

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LicenceCC BY-NC
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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.