Evidence map›Paper›PMID 26347455›Full record

ArticleJournal of materials science. Materials in medicine2015

Novel hybrid materials for preparation of bone tissue engineering scaffolds.

Joanna Lewandowska-Łańcucka, Sylwia Fiejdasz, Łucja Rodzik, Anna Łatkiewicz, Maria Nowakowska

Abstract read
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Article in Journal of materials science. Materials in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Joanna Lewandowska-ŁańcuckaFaculty of Chemistry, Jagiellonian University, Ingardena 3, 30-060, Kraków, Poland, lewandow@chemia.uj.edu.pl.
Sylwia Fiejdasz
Łucja Rodzik
Anna Łatkiewicz
Maria Nowakowska

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The organic-inorganic hybrid systems based on biopolymer hydrogels with dispersed silica nanoparticles were obtained and characterized in terms of their physicochemical properties, cytocompatibility and bioactivity. The hybrid materials were prepared in a form of collagen and collagen-chitosan sols to which the silica nanoparticles of two different sizes were incorporated. The ability of these materials to undergo in situ gelation under physiological temperature was assessed by microviscosity and gelation time determination based on steady-state fluorescence anisotropy measurements. The effect of silica nanoparticles addition on the physicochemical properties (surface wettability, swellability) of hybrid materials was analyzed and compared with those characteristic for pristine collagen and collagen-chitosan hydrogels. Biological studies indicate that surface wettability determined in terms of contact angle for all of the hybrids prepared is optimal and thus can provide satisfactory adhesion of fibroblasts. Cytotoxicity test results showed high metabolic activity of mouse as well as human fibroblast cell lines cultured on hybrid materials. The composition of hybrids was optimized in terms of concentration of silica nanoparticles. The effect of silica on the formation of bone-like mineral structures on exposition to simulated body fluid was determined. SEM images revealed mineral phase formation not only at the surfaces but also in the whole volumes of all hybrid materials developed suggesting their usefulness for bone tissue engineering. EDS and FTIR analyses indicated that these mineral phases consist of apatite-like structures.

Indexed as

Biocompatible MaterialsBone and BonesTissue EngineeringTissue ScaffoldsAnimalsCells, CulturedHumansMiceMicroscopy, Electron, ScanningSpectrometry, X-Ray EmissionSpectroscopy, Fourier Transform InfraredBiocompatible Materials

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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.