Evidence map›Paper›PMID 34606416›Full record

ArticleInternational journal of radiation biology2022

Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021.

Patrick Ostheim, Sally A Amundson, Christophe Badie, Dimitry Bazyka, Angela C Evans, Shanaz A Ghandhi, Maria Gomolka, Milagrosa López Riego, Peter K Rogan, Robert Terbrueggen and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of radiation biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Biomarkers to Predict Lethal Radiation Injury to the Rat Lung.International journal of molecular sciences · 2023
    Article
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  11. Review
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

17 authors at 10 institutions in 6 countries.

Patrick OstheimBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Sally A AmundsonCenter for Radiological Research, Columbia University Irving Medical Center (CUIMC), New York, NY, USA.
Christophe BadiePHE CRCE, Chilton, Didcot, Oxford, UK.ORCID 0000-0003-4572-5008
Dimitry BazykaNational Research Centre for Radiation Medicine, Kyiv, Ukraine.
Angela C EvansDepartment of Radiation Oncology, University of California Davis, Sacramento, CA, USA.
Shanaz A GhandhiCenter for Radiological Research, Columbia University Irving Medical Center (CUIMC), New York, NY, USA.ORCID 0000-0003-4199-0154
Maria GomolkaBundesamt für Strahlenschutz/Federal Office for Radiation Protection, Oberschleissheim, Germany.
Milagrosa López RiegoDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
Peter K RoganBiochemistry, University of Western Ontario, London, Canada.ORCID 0000-0003-2070-5254
Robert TerbrueggenDxterity Diagnostics, Los Angeles, CA, USA.
Gayle E WoloschakRadiation Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Frederic ZenhausernDepartment of Basic Medical Sciences, College of Medicine, The University of Arizona, Phoenix, AZ, USA.
Hanns L KaatschBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Simone SchüleBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Reinhard UllmannBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Matthias PortBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Michael AbendBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Universität Ulm · DEColumbia University Irving Medical Center · USDevon History Society · GBFederal Office for Radiation Protection · DENational Academy of Medical Sciences of Ukraine · UANorthwestern University · USStockholm University · SEUniversity of Arizona · USUniversity of California, Davis · USWestern University · CA

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
Optimizing 131I-mIBG Therapy for Children with Advanced NeuroblastomaR01CA172067 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUBOIS, STEVEN · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA172067NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

purposeIn a nuclear or radiological event, an early diagnostic or prognostic tool is needed to distinguish unexposed from low- and highly exposed individuals with the latter requiring early and intensive medical care. Radiation-induced gene expression (GE) changes observed within hours and days after irradiation have shown potential to serve as biomarkers for either dose reconstruction (retrospective dosimetry) or the prediction of consecutively occurring acute or chronic health effects. The advantage of GE markers lies in their capability for early (1-3 days after irradiation), high-throughput, and point-of-care (POC) diagnosis required for the prediction of the acute radiation syndrome (ARS).

conclusionsAs a key session of the ConRad conference in 2021, experts from different institutions were invited to provide state-of-the-art information on a range of topics including:

Indexed as

Acute Radiation SyndromeRadiometryBiomarkersGene ExpressionHumansRetrospective StudiesBiomarkersbiodosimetryeffect predictionGene expressionhigh doselow doseradiation exposure

Identifiers

PMID34606416
PMCPMC11552548
OpenAlexW3203658522

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.