Evidence map›Paper›PMID 31419066›Full record

ArticleProteomics. Clinical applications2019

Time-Dependent Measurement of Nrf2-Regulated Antioxidant Response to Ionizing Radiation Toward Identifying Potential Protein Biomarkers for Acute Radiation Injury.

Kate Liu, Elizabeth Singer, Whitaker Cohn, Ewa D Micewicz, William H McBride, Julian P Whitelegge, Joseph A Loo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proteomics. Clinical applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Biomarkers to Predict Lethal Radiation Injury to the Rat Lung.International journal of molecular sciences · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

7 authors at 1 institution in 1 country.

Kate LiuDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID 0000-0002-0865-9518
Elizabeth SingerPasarow Mass Spectrometry Laboratory, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Whitaker CohnPasarow Mass Spectrometry Laboratory, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Ewa D MicewiczPasarow Mass Spectrometry Laboratory, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
William H McBrideDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Julian P WhiteleggePasarow Mass Spectrometry Laboratory, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Joseph A LooDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
University of California, Los Angeles · US

Funding

UCLA Center for Biological RadioprotectorsU19AI067769 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHUTE, JOHN P, MCBRIDE, WILLIAM H. · 2005 to 2019
$44.6M
Organ-specific NRF2-mediated protein signatures of radiation exposure & tissue daR01AI101888 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WHITELEGGE, JULIAN P · 2012 to 2016
$1.9M
NIAID NIH HHS R01 AI101888NIAID NIH HHS R01AI101888NIAID NIH HHS U19 AI067769
6 · The paper itself

Abstract

purposePotential acute exposure to ionizing radiation in nuclear or radiological accidents presents complex mass casualty scenarios that demand prompt triage and treatment decisions. Due to delayed symptoms and varied response of radiation victims, there is an urgent need to develop robust biomarkers to assess the extent of injuries in individuals. EXPERIMENTAL

designThe transcription factor Nrf2 is the master of redox homeostasis and there is transcriptional evidence of Nrf2-dependent antioxidant response activation upon radiation. The biomarker potential of Nrf2-dependent downstream target enzymes is investigated by measuring their response in bone marrow extracted from C57Bl/6 and C3H mice of both genders for up to 4 days following 6 Gy total body irradiation using targeted MS.

resultsOverall, C57Bl/6 mice have a stronger proteomic response than C3H mice. In both strains, male mice have more occurrences of upregulation in antioxidant enzymes than female mice. For C57Bl/6 male mice, three proteins show elevated abundances after radiation exposure: catalase, superoxide dismutase 1, and heme oxygenase 1. Across both strains and genders, glutathione S-transferase Mu 1 is consistently decreased. CONCLUSIONS AND CLINICAL RELEVANCE: This study provides the basis for future development of organ-specific protein biomarkers used in diagnostic blood test for radiation injury.

Indexed as

Radiation, IonizingAnimalsAntioxidantsBiomarkersBone MarrowCatalaseChromatography, High Pressure LiquidFemaleGlutathione TransferaseIsotope LabelingMaleMass SpectrometryMiceMice, Inbred C3HMice, Inbred C57BLNF-E2-Related Factor 2AntioxidantsBiomarkersCatalaseGlutathione TransferaseNF-E2-Related Factor 2PeptidesSuperoxide Dismutaseantioxidant responsebone marrowgender differenceionizing radiationtargeted proteomics

Identifiers

PMID31419066
PMCPMC7213060
OpenAlexW2969100688

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.