Evidence map›Paper›PMID 26230079›Full record

ArticleRadiation research2015

Global Metabolomic Identification of Long-Term Dose-Dependent Urinary Biomarkers in Nonhuman Primates Exposed to Ionizing Radiation.

Evan L Pannkuk, Evagelia C Laiakis, Simon Authier, Karen Wong, Albert J Fornace

Abstract read
In one paragraph

Article in Radiation research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  7. Sex differences in radiation research.International journal of radiation biology · 2024
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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

5 authors.

Evan L Pannkuka  Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC;
Evagelia C Laiakisa  Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC;
Simon Authierb  CiToxLAB North America, Laval, Canada;
Karen Wongb  CiToxLAB North America, Laval, Canada;
Albert J Fornacea  Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC;

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
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 P30CA051008NIAID NIH HHS 1R01AI101798NIAID NIH HHS R01 AI101798
6 · The paper itself

Abstract

Due to concerns surrounding potential large-scale radiological events, there is a need to determine robust radiation signatures for the rapid identification of exposed individuals, which can then be used to guide the development of compact field deployable instruments to assess individual dose. Metabolomics provides a technology to process easily accessible biofluids and determine rigorous quantitative radiation biomarkers with mass spectrometry (MS) platforms. While multiple studies have utilized murine models to determine radiation biomarkers, limited studies have profiled nonhuman primate (NHP) metabolic radiation signatures. In addition, these studies have concentrated on short-term biomarkers (i.e., <72 h). The current study addresses the need for biomarkers beyond 72 h using a NHP model. Urine samples were collected at 7 days postirradiation (2, 4, 6, 7 and 10 Gy) and processed with ultra-performance liquid chromatography (UPLC) quadrupole time-of-flight (QTOF) MS, acquiring global metabolomic radiation signatures. Multivariate data analysis revealed clear separation between control and irradiated groups. Thirteen biomarkers exhibiting a dose response were validated with tandem MS. There was significantly higher excretion of l-carnitine, l-acetylcarnitine, xanthine and xanthosine in males versus females. Metabolites validated in this study suggest perturbation of several pathways including fatty acid β oxidation, tryptophan metabolism, purine catabolism, taurine metabolism and steroid hormone biosynthesis. In this novel study we detected long-term biomarkers in a NHP model after exposure to radiation and demonstrate differences between sexes using UPLC-QTOF-MS-based metabolomics technology.

Indexed as

MetabolomicsAmino AcidsAnimalsBiomarkersDose-Response Relationship, RadiationFemaleGamma RaysMacaca mulattaMaleRadiation, IonizingTandem Mass SpectrometryAmino AcidsBiomarkers

Identifiers

PMID26230079
PMCPMC4539133

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.