Evidence map›Paper›PMID 25494045›Full record

ArticlePloS one2014

Determining the Depth of Injury in Bioengineered Tissue Models of Cornea and Conjunctiva for the Prediction of All Three Ocular GHS Categories.

Michaela Zorn-Kruppa, Pia Houdek, Ewa Wladykowski, Maria Engelke, Melinda Bartok, Karsten R Mewes, Ingrid Moll, Johanna M Brandner

Abstract read
In one paragraph

Article in PloS one, 2014. 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. Review
  3. Review
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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

8 authors.

Michaela Zorn-KruppaUniversity Medical Center Hamburg-Eppendorf, Department of Dermatology and Venerology, 20246 Hamburg, Germany.
Pia HoudekUniversity Medical Center Hamburg-Eppendorf, Department of Dermatology and Venerology, 20246 Hamburg, Germany.
Ewa WladykowskiUniversity Medical Center Hamburg-Eppendorf, Department of Dermatology and Venerology, 20246 Hamburg, Germany.
Maria EngelkeJacobs University Bremen gGmbH, School of Engineering and Sciences, 28759 Bremen, Germany.
Melinda BartokJacobs University Bremen gGmbH, School of Engineering and Sciences, 28759 Bremen, Germany.
Karsten R MewesHenkel AG & Co. KGaA, 40589 Düsseldorf, Germany.
Ingrid MollUniversity Medical Center Hamburg-Eppendorf, Department of Dermatology and Venerology, 20246 Hamburg, Germany.
Johanna M BrandnerUniversity Medical Center Hamburg-Eppendorf, Department of Dermatology and Venerology, 20246 Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The depth of injury (DOI) is a mechanistic correlate to the ocular irritation response. Attempts to quantitatively determine the DOI in alternative tests have been limited to ex vivo animal eyes by fluorescent staining for biomarkers of cell death and viability in histological cross sections. It was the purpose of this study to assess whether DOI could also be measured by means of cell viability detected by the MTT assay using 3-dimensional (3D) reconstructed models of cornea and conjunctiva. The formazan-free area of metabolically inactive cells in the tissue after topical substance application is used as the visible correlate of the DOI. Areas of metabolically active or inactive cells are quantitatively analyzed on cryosection images with ImageJ software analysis tools. By incorporating the total tissue thickness, the relative MTT-DOI (rMTT-DOI) was calculated. Using the rMTT-DOI and human reconstructed cornea equivalents, we developed a prediction model based on suitable viability cut-off values. We tested 25 chemicals that cover the whole range of eye irritation potential based on the globally harmonized system of classification and labelling of chemicals (GHS). Principally, the MTT-DOI test method allows distinguishing between the cytotoxic effects of the different chemicals in accordance with all 3 GHS categories for eye irritation. Although the prediction model is slightly over-predictive with respect to non-irritants, it promises to be highly valuable to discriminate between severe irritants (Cat. 1), and mild to moderate irritants (Cat. 2). We also tested 3D conjunctiva models with the aim to specifically address conjunctiva-damaging substances. Using the MTT-DOI method in this model delivers comparable results as the cornea model, but does not add additional information. However, the MTT-DOI method using reconstructed cornea models already provided good predictability that was superior to the already existing established in vitro/ex vivo methods.

Indexed as

Eye InjuriesModels, BiologicalTissue EngineeringAnimalsCell LineConjunctivaCorneaRabbits

Identifiers

PMID25494045
PMCPMC4262406

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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.