Evidence map›Paper›PMID 20545568›Full record

ArticleInternational journal of radiation biology2010

Development of a method for assessing non-targeted radiation damage in an artificial 3D human skin model.

Giuseppe Schettino, Gary W Johnson, Steve A Marino, David J Brenner

Abstract read
In one paragraph

Article in International journal of radiation biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. -Omics potential of in vitro skin models for radiation exposure.Cellular and molecular life sciences : CMLS · 2022
    Review
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Giuseppe SchettinoCentre Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, UK. g.schettino@qub.ac.uk
Gary W Johnson
Steve A Marino
David J Brenner

Funding

TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
NIBIB NIH HHS P41 EB002033
6 · The paper itself

Abstract

purposeDespite the increasing concern about the effect of doses below 0.5 Gy and non-targeted exposures of ionising radiation on living organisms, the majority of radiobiological studies are conducted using in vitro cell lines. In order to be able to extrapolate the in vitro results to in vivo models with confidence, it would be of great benefit to develop a reproducible tissue system suitable for critical radiobiological assays. This manuscript describes the development of a reliable protocol to harvest cells from tissue samples and investigate the radiation damage induced on a single cell basis. MATERIALS AND

methodsTo validate this approach as a potential tool for bystander experiments, the method focuses on analysing radiation damage in individual cells as a function of their relative position in the tissue. The experiments reported describe the micronucleus formation following partial irradiation with 3.5 MeV protons (0.1, 0.5 and 1 Gy) in an artificial human skin construct.

resultsThe reproducible and low background frequency of micronuclei measured in this system allows detection of small increases following radiation exposures. The effect was statistically significant at doses as low as 0.1 Gy in the directly irradiated as well as in the bystander cells.

conclusionsThe data presented provide evidence of a spatially dependent bystander effect whose magnitude decrease as a function of the distance from the directly exposed area.

Indexed as

Models, BiologicalRadiation, IonizingSkin, ArtificialBystander EffectHumansKeratinocytesMicronucleus TestsPhotonsRadiation ToleranceRisk Assessment

Identifiers

PMID20545568
PMCPMC3228351

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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.