Evidence map›Paper›PMID 28815010›Full record

ArticleJournal of tissue engineering

Development and characterisation of a low-concentration sodium dodecyl sulphate decellularised porcine dermis.

Jack A Helliwell, Daniel S Thomas, Vaia Papathanasiou, Shervanthi Homer-Vanniasinkam, Amisha Desai, Louise M Jennings, Paul Rooney, John N Kearney, Eileen Ingham

Abstract read
In one paragraph

Article in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Jack A HelliwellInstitute of Medical and Biological Engineering, University of Leeds, Leeds, UK.
Daniel S ThomasInstitute of Medical and Biological Engineering, University of Leeds, Leeds, UK.
Vaia PapathanasiouLeeds Vascular Institute, Leeds General Infirmary, Leeds, UK.
Shervanthi Homer-VanniasinkamLeeds Vascular Institute, Leeds General Infirmary, Leeds, UK.
Amisha DesaiInstitute of Medical and Biological Engineering, University of Leeds, Leeds, UK.
Louise M JenningsInstitute of Medical and Biological Engineering, University of Leeds, Leeds, UK.
Paul RooneyTissue and Eye Services, NHS Blood and Transplant, Liverpool, UK.
John N KearneyTissue and Eye Services, NHS Blood and Transplant, Liverpool, UK.
Eileen InghamInstitute of Medical and Biological Engineering, University of Leeds, Leeds, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The aim of this study was to adapt a proprietary decellularisation process for human dermis for use with porcine skin. Porcine skin was subject to: sodium chloride (1 M) to detach the epidermis, trypsin paste to remove hair follicles, peracetic acid (0.1% v/v) disinfection, washed in hypotonic buffer and 0.1% (w/v) sodium dodecyl sulphate in the presence of proteinase inhibitors followed by nuclease treatment. Cellular porcine skin, decellularised porcine and human dermis were compared using histology, immunohistochemistry, GSL-1 lectin (alpha-gal epitope) staining, biochemical assays, uniaxial tensile and in vitro cytotoxicity tests. There was no microscopic evidence of cells in decellularised porcine dermis. DNA content was reduced by 98.2% compared to cellular porcine skin. There were no significant differences in the biomechanical parameters studied or evidence of cytotoxicity. The decellularised porcine dermis retained residual alpha-gal epitope. Basement membrane collagen IV immunostaining was lost following decellularisation; however, laminin staining was retained.

Indexed as

decellularisationDermisskinxenograft

Identifiers

PMID28815010
PMCPMC5546651

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.