Evidence map›Paper›PMID 28067089›Full record

ReviewInternational journal of radiation biology2017

Metabolomic applications in radiation biodosimetry: exploring radiation effects through small molecules.

Evan L Pannkuk, Albert J Fornace, Evagelia C Laiakis

Abstract readReview
In one paragraph

Review in International journal of radiation biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

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14 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

3 authors.

Evan L Pannkuka Tumor Biology Program , Lombardi Comprehensive Cancer Center, Georgetown University , Washington DC , USA.
Albert J Fornaceb Molecular Oncology , Lombardi Comprehensive Cancer Center, Georgetown University , Washington DC , USA.
Evagelia C Laiakisc Department of Biochemistry and Molecular and Cellular Biology , Georgetown University , Washington DC , USA.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
PA-12-149: Research Supplements to Promote Diversity in Health-Related Research (Admin Supp): Metabolomic biomarkers and instrumentation for assessment of radiation injury,R01AI101798 · NIAID · GEORGETOWN UNIVERSITY · PI FORNACE, ALBERT J · 2012 to 2016
$2.2M
NCI NIH HHS P30 CA051008NCI NIH HHS T32 CA009686NIAID NIH HHS R01 AI101798NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

purposeExposure of the general population to ionizing radiation has increased in the past decades, primarily due to long distance travel and medical procedures. On the other hand, accidental exposures, nuclear accidents, and elevated threats of terrorism with the potential detonation of a radiological dispersal device or improvised nuclear device in a major city, all have led to increased needs for rapid biodosimetry and assessment of exposure to different radiation qualities and scenarios. Metabolomics, the qualitative and quantitative assessment of small molecules in a given biological specimen, has emerged as a promising technology to allow for rapid determination of an individual's exposure level and metabolic phenotype. Advancements in mass spectrometry techniques have led to untargeted (discovery phase, global assessment) and targeted (quantitative phase) methods not only to identify biomarkers of radiation exposure, but also to assess general perturbations of metabolism with potential long-term consequences, such as cancer, cardiovascular, and pulmonary disease.

conclusionsMetabolomics of radiation exposure has provided a highly informative snapshot of metabolic dysregulation. Biomarkers in easily accessible biofluids and biospecimens (urine, blood, saliva, sebum, fecal material) from mouse, rat, and minipig models, to non-human primates and humans have provided the basis for determination of a radiation signature to assess the need for medical intervention. Here we provide a comprehensive description of the current status of radiation metabolomic studies for the purpose of rapid high-throughput radiation biodosimetry in easily accessible biofluids and discuss future directions of radiation metabolomics research.

Indexed as

AnimalsClinical Chemistry TestsHumansMetabolomicsRadiometrybiofluidsIonizing radiationlipidomicsmetabolomicsradiation signaturesrapid biodosimetry

Identifiers

PMID28067089
PMCPMC5507746

What OpenQuestion holds

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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.