Evidence map›Paper›PMID 23506120›Full record

ArticleChemical research in toxicology2013

Increased levels of inosine in a mouse model of inflammation.

Erin G Prestwich, Aswin Mangerich, Bo Pang, Jose L McFaline, Pallavi Lonkar, Matthew R Sullivan, Laura J Trudel, Koli Taghizedeh, Peter C Dedon

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

9 authors at 2 institutions in 2 countries.

Erin G PrestwichDepartment of Biological Engineering and ‡Center for Environmental Health Science, Massachusetts Institute of Technology , 77 Massachusetts Avenue, Cambridge, Massachusetts 02193, United States.
Aswin Mangerich
Bo Pang
Jose L McFaline
Pallavi Lonkar
Matthew R Sullivan
Laura J Trudel
Koli Taghizedeh
Peter C Dedon
Massachusetts Institute of Technology · USUniversity of Konstanz · DE

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LEVINE, STUART S · 1985 to 2020
$25.6M
Reaction and Diffusion of NO in Biological SystemsP01CA026731 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TANNENBAUM, STEVEN R · 1985 to 2018
$25.4M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Genetic toxicology of purine metabolismR01CA116318 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI DEDON, PETER C · 2006 to 2010
$1.3M
NCI NIH HHS CA026731NCI NIH HHS CA116318NCI NIH HHS P01 CA026731NCI NIH HHS R01 CA116318NIEHS NIH HHS 5T32-ES007020-34NIEHS NIH HHS ES002109NIEHS NIH HHS P30 ES002109NIEHS NIH HHS T32 ES007020
6 · The paper itself

Abstract

One possible mechanism linking inflammation with cancer involves the generation of reactive oxygen, nitrogen, and halogen species by activated macrophages and neutrophils infiltrating sites of infection or tissue damage, with these chemical mediators causing damage that ultimately leads to cell death and mutation. To determine the most biologically deleterious chemistries of inflammation, we previously assessed products across the spectrum of DNA damage arising in inflamed tissues in the SJL mouse model nitric oxide overproduction ( Pang et al. ( 2007 ) Carcinogenesis 28 , 1807 - 1813 ). Among the anticipated DNA damage chemistries, we observed significant changes only in lipid peroxidation-derived etheno adducts. We have now developed an isotope-dilution, liquid chromatography-coupled, tandem quadrupole mass spectrometric method to quantify representative species across the spectrum of RNA damage products predicted to arise at sites of inflammation, including nucleobase deamination (xanthosine and inosine), oxidation (8-oxoguanosine), and alkylation (1,N(6)-ethenoadenosine). Application of the method to the liver, spleen, and kidney from the SJL mouse model revealed generally higher levels of oxidative background RNA damage than was observed in DNA in control mice. However, compared to control mice, RcsX treatment to induce nitric oxide overproduction resulted in significant increases only in inosine and only in the spleen. Further, the nitric oxide synthase inhibitor, N-methylarginine, did not significantly affect the levels of inosine in control and RcsX-treated mice. The differences between DNA and RNA damage in the same animal model of inflammation point to possible influences from DNA repair, RcsX-induced alterations in adenosine deaminase activity, and differential accessibility of DNA and RNA to reactive oxygen and nitrogen species as determinants of nucleic acid damage during inflammation.

Indexed as

AnimalsChromatography, LiquidDisease Models, AnimalDNADNA DamageGenetic PhenomenaInflammationInosineKidneyLiverMiceNitric OxideOxidation-ReductionRNASpleenTandem Mass SpectrometryDNAInosineNitric OxideRNA

Identifiers

PMID23506120
PMCPMC3726579
OpenAlexW2134643017

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.