Evidence map›Paper›PMID 23670603›Full record

ArticleJournal of materials science. Materials in medicine2013

Collagen-cellulose composite thin films that mimic soft-tissue and allow stem-cell orientation.

Terry W J Steele, Charlotte L Huang, Evelyne Nguyen, Udi Sarig, Saranya Kumar, Effendi Widjaja, Joachim S C Loo, Marcelle Machluf, Freddy Boey, Zlata Vukadinovic and 2 more

Abstract read
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In one paragraph

Article in Journal of materials science. Materials in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Terry W J SteeleDivision of Materials Technology, Materials and Science Engineering, Nanyang Technological University, N4.1-01-30, 50 Nanyang Ave, Singapore, 639798, Singapore. wjsteele@ntu.edu.sg
Charlotte L Huang
Evelyne Nguyen
Udi Sarig
Saranya Kumar
Effendi Widjaja
Joachim S C Loo
Marcelle Machluf
Freddy Boey
Zlata Vukadinovic
Andreas Hilfiker
Subbu S Venkatraman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical properties of collagen films are less than ideal for biomaterial development towards musculoskeletal repair or cardiovascular applications. Herein, we present a collagen-cellulose composite film (CCCF) compared against swine small intestine submucosa in regards to mechanical properties, cell growth, and histological analysis. CCCF was additionally characterized by FE-SEM, NMR, mass spectrometry, and Raman Microscopy to elucidate its physical structure, collagen-cellulose composition, and structure activity relationships. Mechanical properties of the CCCF were tested in both wet and dry environments, with anisotropic stress-strain curves that mimicked soft-tissue. Mesenchymal stem cells, human umbilical vein endothelial cells, and human coronary artery smooth muscle cells were able to proliferate on the collagen films with specific cell orientation. Mesenchymal stem cells had a higher proliferation index and were able to infiltrate CCCF to a higher degree than small intestine submucosa. With the underlying biological properties, we present a collagen-cellulose composite film towards forthcoming biomaterial-related applications.

Indexed as

Connective TissueMembranes, ArtificialAnimalsBiomimetic MaterialsCell PolarityCells, CulturedCelluloseCollagenHumansHuman Umbilical Vein Endothelial CellsMaterials TestingMesenchymal Stem CellsMiceNanofibersTissue EngineeringTissue ScaffoldsCelluloseCollagenMembranes, Artificial

Identifiers

What OpenQuestion holds

Textmetadata
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.