Evidence map›Paper›PMID 29736597›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Differential Mobility Spectrometry-Mass Spectrometry (DMS-MS) in Radiation Biodosimetry: Rapid and High-Throughput Quantitation of Multiple Radiation Biomarkers in Nonhuman Primate Urine.

Zhidan Chen, Stephen L Coy, Evan L Pannkuk, Evagelia C Laiakis, Albert J Fornace, Paul Vouros

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 29 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

6 authors at 3 institutions in 1 country.

Zhidan ChenDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
Stephen L CoyDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA. Steve.Coy@post.harvard.edu.
Evan L PannkukTumor Biology Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, 20057, USA.
Evagelia C LaiakisDepartment of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA.
Albert J FornaceDepartment of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20057, USA.
Paul VourosDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA. P.Vouros@northeastern.edu.
Northeastern University · USGeorgetown University · USGeorgetown University Medical Center · US

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
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
National Institute of Allergy and Infectious Diseases U19AI067773National Institutes of Health R01AI101798NIAID NIH HHS R01 AI101798NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

High-throughput methods to assess radiation exposure are a priority due to concerns that include nuclear power accidents, the spread of nuclear weapon capability, and the risk of terrorist attacks. Metabolomics, the assessment of small molecules in an easily accessible sample, is the most recent method to be applied for the identification of biomarkers of the biological radiation response with a useful dose-response profile. Profiling for biomarker identification is frequently done using an LC-MS platform which has limited throughput due to the time-consuming nature of chromatography. We present here a chromatography-free simplified method for quantitative analysis of seven metabolites in urine with radiation dose-response using urine samples provided from the Pannkuk et al. (2015) study of long-term (7-day) radiation response in nonhuman primates (NHP). The stable isotope dilution (SID) analytical method consists of sample preparation by strong cation exchange-solid phase extraction (SCX-SPE) to remove interferences and concentrate the metabolites of interest, followed by differential mobility spectrometry (DMS) ion filtration to select the ion of interest and reduce chemical background, followed by mass spectrometry (overall SID-SPE-DMS-MS). Since no chromatography is used, calibration curves were prepared rapidly, in under 2 h (including SPE) for six simultaneously analyzed radiation biomarkers. The seventh, creatinine, was measured separately after 2500× dilution. Creatinine plays a dual role, measuring kidney glomerular filtration rate (GFR), and indicating kidney damage at high doses. The current quantitative method using SID-SPE-DMS-MS provides throughput which is 7.5 to 30 times higher than that of LC-MS and provides a path to pre-clinical radiation dose estimation. Graphical Abstract.

Indexed as

AnimalsBiomarkersCreatinineHumansLimit of DetectionLinear ModelsMacaca mulattaMaleMass SpectrometryMetabolomeMetabolomicsRadiation ExposureRadiometryReproducibility of ResultsBiomarkersCreatinineBiomarkersDifferential mobility spectrometryDMS-MSFAIMS-MSField asymmetric waveform ion mobility spectrometryMetabolomicsNonhuman primateQuantitationRadiation exposure

Identifiers

PMID29736597
PMCPMC6287943
OpenAlexW2800720140

What OpenQuestion holds

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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.