Evidence map›Paper›PMID 26177207›Full record

ArticlePloS one2015

Revisiting Biomarkers of Total-Body and Partial-Body Exposure in a Baboon Model of Irradiation.

Marco Valente, Josiane Denis, Nancy Grenier, Philippe Arvers, Barbara Foucher, François Desangles, Patrick Martigne, Hervé Chaussard, Michel Drouet, Michael Abend and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Marco ValenteDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Josiane DenisDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Nancy GrenierDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Philippe ArversDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Barbara FoucherService des Laboratoires, Hôpital d'Instruction des Armées Desgenettes, Lyon, France.
François DesanglesDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Patrick MartigneDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Hervé ChaussardDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Michel DrouetDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Michael AbendBundeswehr Institute of Radiobiology, Munich, Germany.
Francis HérodinDépartement des Effets Biologiques des Rayonnements (EBR), Institut de Recherche Biomédicale des Armées (IRBA), Brétigny-sur-Orge, France.
Fondation pour la Recherche Médicale · FRBundeswehr Medical Service Academy · DEHôpital d'instruction des Armées Desgenettes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In case of a mass casualty radiation event, there is a need to distinguish total-body irradiation (TBI) and partial-body irradiation (PBI) to concentrate overwhelmed medical resources to the individuals that would develop an acute radiation syndrome (ARS) and need hematologic support (i.e., mostly TBI victims). To improve the identification and medical care of TBI versus PBI individuals, reliable biomarkers of exposure could be very useful. To investigate this issue, pairs of baboons (n = 18) were exposed to different situations of TBI and PBI corresponding to an equivalent of either 5 Gy 60Co gamma irradiation (5 Gy TBI; 7.5 Gy left hemibody/2.5 right hemibody TBI; 5.55 Gy 90% PBI; 6.25 Gy 80% PBI; 10 Gy 50% PBI, 15 Gy 30% PBI) or 2.5 Gy (2.5 Gy TBI; 5 Gy 50% PBI). More than fifty parameters were evaluated before and after irradiation at several time points up to 200 days. A partial least square discriminant analysis showed a good distinction of TBI from PBI situations that were equivalent to 5 Gy. Furthermore, all the animals were pooled in two groups, TBI (n = 6) and PBI (n = 12), for comparison using a logistic regression and a non parametric statistical test. Nine plasmatic biochemical markers and most of hematological parameters turned out to discriminate between TBI and PBI animals during the prodromal phase and the manifest illness phase. The most significant biomarkers were aspartate aminotransferase, creatine kinase, lactico dehydrogenase, urea, Flt3-ligand, iron, C-reactive protein, absolute neutrophil count and neutrophil-to-lymphocyte ratio for the early period, and Flt3-ligand, iron, platelet count, hemoglobin, monocyte count, absolute neutrophil count and neutrophil-to-lymphocyte ratio for the ARS phase. These results suggest that heterogeneity could be distinguished within a range of 2.5 to 5 Gy TBI.

Indexed as

Models, AnimalAnimalsAspartate AminotransferasesBiomarkersC-Reactive ProteinCreatine KinaseGamma RaysHumansIronLeukocyte CountMaleMembrane ProteinsPapioRadiation DosageRadiation Injuries, ExperimentalRadiation MonitoringAspartate AminotransferasesBiomarkersC-Reactive ProteinCreatine Kinaseflt3 ligand proteinIronMembrane ProteinsUrea

Identifiers

PMID26177207
PMCPMC4503630
OpenAlexW2341585607

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.