Evidence map›Paper›PMID 26870697›Full record

ReviewFrontiers in oncology2016

Radiation Metabolomics: Current Status and Future Directions.

Smrithi S Menon, Medha Uppal, Subeena Randhawa, Mehar S Cheema, Nima Aghdam, Rachel L Usala, Sanchita P Ghosh, Amrita K Cheema, Anatoly Dritschilo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.7field-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

50 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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  12. Article
  13. Sex differences in radiation research.International journal of radiation biology · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Interactions between Radiation and One-Carbon Metabolism.International journal of molecular sciences · 2022
    Review
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

9 authors at 2 institutions in 1 country.

Smrithi S MenonDepartment of Oncology, Georgetown University Medical Center , Washington, DC , USA.
Medha UppalDepartment of Oncology, Georgetown University Medical Center , Washington, DC , USA.
Subeena RandhawaDepartment of Oncology, Georgetown University Medical Center , Washington, DC , USA.
Mehar S CheemaDepartment of Radiation Medicine, Georgetown University Medical Center , Washington, DC , USA.
Nima AghdamLombardi Comprehensive Cancer Center, Georgetown University Medical Center , Washington, DC , USA.
Rachel L UsalaSchool of Medicine, Georgetown University Medical Center , Washington, DC , USA.
Sanchita P GhoshArmed Forces Radiobiology Research Institute , Bethesda, MD , USA.
Amrita K CheemaDepartment of Oncology, Georgetown University Medical Center , Washington, DC , USA.
Anatoly DritschiloDepartment of Radiation Medicine, Georgetown University Medical Center , Washington, DC , USA.
Georgetown University · USGeorgetown University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human exposure to ionizing radiation (IR) disrupts normal metabolic processes in cells and organs by inducing complex biological responses that interfere with gene and protein expression. Conventional dosimetry, monitoring of prodromal symptoms, and peripheral lymphocyte counts are of limited value as organ- and tissue-specific biomarkers for personnel exposed to radiation, particularly, weeks or months after exposure. Analysis of metabolites generated in known stress-responsive pathways by molecular profiling helps to predict the physiological status of an individual in response to environmental or genetic perturbations. Thus, a multi-metabolite profile obtained from a high-resolution mass spectrometry-based metabolomics platform offers potential for identification of robust biomarkers to predict radiation toxicity of organs and tissues resulting from exposures to therapeutic or non-therapeutic IR. Here, we review the status of radiation metabolomics and explore applications as a standalone technology, as well as its integration in systems biology, to facilitate a better understanding of the molecular basis of radiation response. Finally, we draw attention to the identification of specific pathways that can be targeted for the development of therapeutics to alleviate or mitigate harmful effects of radiation exposure.

Indexed as

biomarkersionizing radiationmetabolomics

Identifiers

PMID26870697
PMCPMC4736121
OpenAlexW2267671082

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.