Evidence map›Paper›PMID 28620549›Full record

ArticleBiomaterials research2017

Lamination of microfibrous PLGA fabric by electrospinning a layer of collagen-hydroxyapatite composite nanofibers for bone tissue engineering.

Gi-Wan Kwon, Kailash Chandra Gupta, Kyung-Hye Jung, Inn-Kyu Kang

Abstract read
In one paragraph

Article in Biomaterials research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Engineered Collagen Matrices.Bioengineering (Basel, Switzerland) · 2020
    Review
  5. Article
  6. Review
  7. Review
  8. 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

4 authors.

Gi-Wan KwonDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu, 702-701 South Korea.
Kailash Chandra GuptaDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu, 702-701 South Korea.
Kyung-Hye JungDepartment of Advanced Materials and Chemical Engineering,Catholic University of Daegu, Kyungsan, South Korea.
Inn-Kyu KangDepartment of Polymer Science and Engineering, Kyungpook National University, Daegu, 702-701 South Korea.ORCID 0000-0002-6781-6026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo mimic the muscle inspired cells adhesion through proteins secretion, the lamination of collagen-hydroxyapatite nanorod (nHA) composite nanofibers has been carried out successfully on polydopamine (PDA)-coated microfibrous polylactide-co-glycolide (PLGA) fabrics. The lamination of collagen-hydroxyapatite composite nanofibers on polydopamine-coated microfibrous PLGA fabrics was carried through electrospinning the solution of collagen containing L-glutamic acid-grafted hydroxyapatite nanorods (nHA-GA) at a flow rate of 1.5 mL/h and an applied voltage of 15 kV.

resultsIn comparison to pristine PLGA, dopamine-coated PLGA and collagen-hydroxyapatite composite nanofiber lamination has produced more wettable surfaces and surface wettability is found to higher with dopamine-coated PLGA fabrics then pristine PLGA. The SEM micrographs have clearly indicated that the lamination of polydopamine-coated PLGA fabric with collagen-hydroxyapatite composite nanofibers has shown increased adhesion of MC3T3E1 cells in comparison to pristine PLGA fabrics.

conclusionThe results of these studies have clearly demonstrated that collagen-nHA composites fibers may be used to create bioactive 3D scaffolds using PLGA as an architectural support agent.

Indexed as

CollagenHydroxyapatite nanorods and ScaffoldsPLGAPolydopamine

Identifiers

PMID28620549
PMCPMC5470256

What OpenQuestion holds

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Registered trials

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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.