Evidence map›Paper›PMID 23403731›Full record

ArticleMolecular bioSystems2013

Metabolomic changes in gastrointestinal tissues after whole body radiation in a murine model.

Sanchita P Ghosh, Rajbir Singh, Kushal Chakraborty, Shilpa Kulkarni, Arushi Uppal, Yue Luo, Prabhjit Kaur, Rupak Pathak, K Sree Kumar, Martin Hauer-Jensen and 1 more

Abstract read
In one paragraph

Article in Molecular bioSystems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

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  18. Research Progress on Dietary Intervention in Radiation Protection.Dose-response : a publication of International Hormesis Society
    Review
  19. 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

11 authors at 3 institutions in 1 country.

Sanchita P GhoshArmed Forces Radiobiology Research Institute, USUHS, Bethesda, MD 20889-5603, USA.
Rajbir Singh
Kushal Chakraborty
Shilpa Kulkarni
Arushi Uppal
Yue Luo
Prabhjit Kaur
Rupak Pathak
K Sree Kumar
Martin Hauer-Jensen
Amrita K Cheema
Georgetown University · USArmed Forces Institute of Pathology · USCentral Arkansas Veterans Healthcare System · US

Funding

Somatostatin analogues as countermeasures against intestinal radiation toxicityU19AI067798 · NIAID · DUKE UNIVERSITY · PI CHAO, NELSON J. · 2005 to 2024
$82.1M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
NCI NIH HHS P30 CA051008NIAID NIH HHS U19 AI067798
6 · The paper itself

Abstract

Exposure to ionizing radiation (IR) elicits a set of complex biological responses involving gene expression and protein turnover that ultimately manifest as dysregulation of metabolic processes representing the cellular phenotype. Although radiation biomarkers have been reported in urine and serum, they are not informative about IR mediated tissue or organ specific injury. In the present study we report IR induced metabolic changes in gastrointestinal (GI) tissue of CD2F1 mice using ultra-performance liquid chromatography (UPLC) coupled with electrospray time-of-flight mass spectrometry. Post-radiation GI injury is a critical determinant of survival after exposure to IR. Our results show a distinct dose and time dependent response to GI tissue injury.

Indexed as

MetabolomeMetabolomicsAnimalsBiomarkersCluster AnalysisDisease Models, AnimalGastrointestinal TractLipid MetabolismMaleMetabolic Networks and PathwaysMiceRadiation Injuries, ExperimentalTime FactorsWhole-Body IrradiationBiomarkers

Identifiers

PMID23403731
PMCPMC3601576
OpenAlexW2085826607

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.