Evidence map›Paper›PMID 17407386›Full record

ArticlePLoS medicine2007

Gene expression signatures that predict radiation exposure in mice and humans.

Holly K Dressman, Garrett G Muramoto, Nelson J Chao, Sarah Meadows, Dawn Marshall, Geoffrey S Ginsburg, Joseph R Nevins, John P Chute

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 2% 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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 194 citations in OpenAlex.

  1. Pooled it
  2. Genomic responses in mouse models poorly mimic human inflammatory diseases.Proceedings of the National Academy of Sciences of the United States of America · 2013
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  13. Histidine Phosphorylation: Protein Kinases and Phosphatases.International journal of molecular sciences · 2024
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42 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Holly K DressmanInstitute for Genome Sciences and Policy, Duke University Medical Center, Durham, North Carolina, United States of America.
Garrett G Muramoto
Nelson J Chao
Sarah Meadows
Dawn Marshall
Geoffrey S Ginsburg
Joseph R Nevins
John P Chute
Duke Medical Center · USDuke University Hospital · US

Funding

Somatostatin analogues as countermeasures against intestinal radiation toxicityU19AI067798 · NIAID · DUKE UNIVERSITY · PI CHAO, NELSON J. · 2005 to 2024
$82.1M
NIAID NIH HHS AI-067798-01NIAID NIH HHS U19 AI067798
6 · The paper itself

Abstract

backgroundThe capacity to assess environmental inputs to biological phenotypes is limited by methods that can accurately and quantitatively measure these contributions. One such example can be seen in the context of exposure to ionizing radiation. METHODS AND

findingsWe have made use of gene expression analysis of peripheral blood (PB) mononuclear cells to develop expression profiles that accurately reflect prior radiation exposure. We demonstrate that expression profiles can be developed that not only predict radiation exposure in mice but also distinguish the level of radiation exposure, ranging from 50 cGy to 1,000 cGy. Likewise, a molecular signature of radiation response developed solely from irradiated human patient samples can predict and distinguish irradiated human PB samples from nonirradiated samples with an accuracy of 90%, sensitivity of 85%, and specificity of 94%. We further demonstrate that a radiation profile developed in the mouse can correctly distinguish PB samples from irradiated and nonirradiated human patients with an accuracy of 77%, sensitivity of 82%, and specificity of 75%. Taken together, these data demonstrate that molecular profiles can be generated that are highly predictive of different levels of radiation exposure in mice and humans.

conclusionsWe suggest that this approach, with additional refinement, could provide a method to assess the effects of various environmental inputs into biological phenotypes as well as providing a more practical application of a rapid molecular screening test for the diagnosis of radiation exposure.

Indexed as

Environmental ExposureGene Expression ProfilingRadiation, IonizingAnimalsCyclophosphamideDNADNA DamageDose-Response Relationship, RadiationFemaleGene ExpressionGene Regulatory NetworksGenesHumansLeukocytes, MononuclearMass ScreeningMiceCyclophosphamideDNAfludarabineVidarabine

Identifiers

PMID17407386
PMCPMC1845155
OpenAlexW2050428229

What OpenQuestion holds

Textmetadata
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.