Evidence map›Paper›PMID 22507638›Full record

ArticleExperimental dermatology2012

A direct method to determine the strength of the dermal-epidermal junction in a mouse model for epidermolysis bullosa.

Thomas J Sproule, Derry C Roopenian, John P Sundberg

Open access · bronzeAbstract read
In one paragraph

Article in Experimental dermatology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A 3D in vitro model of the dermoepidermal junction amenable to mechanical testing.Journal of biomedical materials research. Part A · 2018
    Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Thomas J SprouleThe Jackson Laboratory, Bar Harbor, ME, USA. tom.sproule@jax.org
Derry C Roopenian
John P Sundberg
Jackson Laboratory · US

Funding

Novel Mouse Model for Junctional Epidermolysis BullosaR21AR054407 · NIAMS · JACKSON LABORATORY · PI SUNDBERG, JOHN PAUL · 2010 to 2011
$437k
NIAMS NIH HHS AR054407NIAMS NIH HHS R21 AR054407
6 · The paper itself

Abstract

Epidermolysis bullosa (EB) describes a spectrum of rare, incurable, inherited mechanobullous disorders unified by the fact that they are caused by structural defects in the basement membrane zone which disrupt adhesion between the epidermis and dermis. Mouse models provide valuable tools to define the molecular basis of these diseases and to test novel therapeutic approaches. There is need for rapid, quantitative tests that measure the integrity of dermal-epidermal adhesions in such models. To address this need, we describe a novel quantitative method to determine the mechanical strength of the adhesion between tail skin epidermis and dermis. We show that this test reliably measures the force required to cause dermal-epidermal separation in tails of mice that are genetically predisposed to a form of non-Herlitz Junctional EB which develops as the result of a hypomorphic mutation in the laminin gamma 2 gene (Lamc2(jeb) ). This simple, quantitative method of directly measuring the tensile strength of dermal-epidermal adhesion provides a novel dimension to the pathophysiological screening, evaluation, and therapeutic treatment of mice that may develop progressive forms of EB and potentially other disorders that compromise cutaneous integrity.

Indexed as

AnimalsDermatologyDisease Models, AnimalEpidermolysis BullosaMiceMice, Inbred C57BLSkinTailTensile Strength

Identifiers

PMID22507638
PMCPMC3360816
OpenAlexW1595780628

What OpenQuestion holds

Textmetadata
LicenceTDM
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.