Evidence map›Paper›PMID 26262552›Full record

ArticleJournal of proteome research2015

Serum Dyslipidemia Is Induced by Internal Exposure to Strontium-90 in Mice, Lipidomic Profiling Using a Data-Independent Liquid Chromatography-Mass Spectrometry Approach.

Maryam Goudarzi, Waylon M Weber, Juijung Chung, Melanie Doyle-Eisele, Dunstana R Melo, Tytus D Mak, Steven J Strawn, David J Brenner, Raymond Guilmette, Albert J Fornace

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 32 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

10 authors at 5 institutions in 1 country.

Maryam GoudarziDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University , 3970 Reservoir Rd. NW, Washington, D.C. 20057, United States.
Waylon M WeberLovelace Respiratory Research Institute, 2425 Ridgecrest Dr. SE, Albuquerque, New Mexico 87108, United States.
Juijung ChungDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University , 3970 Reservoir Rd. NW, Washington, D.C. 20057, United States.
Melanie Doyle-EiseleLovelace Respiratory Research Institute, 2425 Ridgecrest Dr. SE, Albuquerque, New Mexico 87108, United States.
Dunstana R MeloLovelace Respiratory Research Institute, 2425 Ridgecrest Dr. SE, Albuquerque, New Mexico 87108, United States.
Tytus D MakMass Spectrometry Data Center, National Institute of Standards and Technology , 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
Steven J StrawnDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University , 3970 Reservoir Rd. NW, Washington, D.C. 20057, United States.
David J BrennerCenter for Radiological Research, Columbia University , 630 West 168th Street, VC11-240, New York, New York 10032, United States.
Raymond GuilmetteLovelace Respiratory Research Institute, 2425 Ridgecrest Dr. SE, Albuquerque, New Mexico 87108, United States.
Albert J FornaceDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University , 3970 Reservoir Rd. NW, Washington, D.C. 20057, United States.
Lovelace Respiratory Research Institute · USGeorgetown University · USColumbia University · USGeorgetown University Medical Center · USNational Institute of Standards and Technology · US

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 STEPHEN W BYERS · 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
NCI NIH HHS P30 CA051008NCI NIH HHS P30 CA51008NCI NIH HHS T32 CA009686NIAID NIH HHS U19 AI067773PHS HHS U19 A1067773
6 · The paper itself

Abstract

Despite considerable research into the environmental risks and biological effects of exposure to external beam γ rays, incorporation of radionuclides has largely been understudied. This dosimetry and exposure risk assessment is challenging for first responders in the field during a nuclear or radiological event. Therefore, we have developed a workflow for assessing injury responses in easily obtainable biofluids, such as urine and serum, as the result of exposure to internal emitters cesium-137 ((137)Cs) and strontium-90 ((90)Sr) in mice. Here we report on the results of the untargeted lipidomic profiling of serum from mice exposed to (90)Sr. We also compared these results to those from previously published (137)Cs exposure to determine any differences in cellular responses based on exposure type. The results of this study conclude that there is a gross increase in the serum abundance of triacylglycerides and cholesterol esters, while phostaphatidylcholines and lysophosphatidylcholines displayed decreases in their serum levels postexposure at study days 4, 7, 9, 25, and 30, with corresponding average cumulative skeleton doses ranging from 1.2 ± 0.1 to 5.2 ± 0.73 Gy. The results show significant perturbations in serum lipidome as early as 2 days postexposure persisting until the end of the study (day 30).

Indexed as

AnimalsChromatography, High Pressure LiquidComputational BiologyDyslipidemiasLipidsMaleMass SpectrometryMiceMice, Inbred C57BLStrontium RadioisotopesLipidsStrontium Radioisotopesdata-independent mass spectrometryinternal emitterlipidomicsphospholipidradiation exposurestrontium-90triacylglycerolUPLC

Identifiers

PMID26262552
PMCPMC5327919
OpenAlexW2340931401

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.