Evidence map›Paper›PMID 23301521›Full record

ArticleJournal of proteome research2013

Stable isotope- and mass spectrometry-based metabolomics as tools in drug metabolism: a study expanding tempol pharmacology.

Fei Li, Xiaoyan Pang, Kristopher W Krausz, Changtao Jiang, Chi Chen, John A Cook, Murali C Krishna, James B Mitchell, Frank J Gonzalez, Andrew D Patterson

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Application of Metabolomics in the Study of Natural Products.Natural products and bioprospecting · 2018
    Article
  5. Metabolic map of osthole and its effect on lipids.Xenobiotica; the fate of foreign compounds in biological systems · 2018
    Article
  6. Article
  7. Intestinal Farnesoid X Receptor Signaling Modulates Metabolic Disease.Digestive diseases (Basel, Switzerland) · 2017
    Review
  8. Review
  9. Review
  10. Review
  11. Modulation of colon cancer by nutmeg.Journal of proteome research · 2015
    Article
  12. Article
  13. Article
  14. LC-MS-based metabolomics: an update.Archives of toxicology · 2014
    Review
  15. Article
  16. Article
  17. Article
  18. 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

10 authors at 5 institutions in 1 country.

Fei LiLaboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States.
Xiaoyan Pang
Kristopher W Krausz
Changtao Jiang
Chi Chen
John A Cook
Murali C Krishna
James B Mitchell
Frank J Gonzalez
Andrew D Patterson
Center for Cancer Research · USNational Cancer Institute · USNational Institutes of Health · USPennsylvania State University · USUniversity of Minnesota · US

Funding

Xenobiotic receptorsZIABC005562 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK J · 2009 to 2025
$26.9M
Nitroxides as Protectors Against Oxidative StressZIASC006387 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MITCHELL, JAMES · 2009 to 2025
$6.9M
Optimized Metabolite Extraction, Separation, and Identification for MetabolomicsR01ES022186 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2012 to 2016
$2.0M
Intramural NIH HHSNIEHS NIH HHS ES022186NIEHS NIH HHS R01 ES022186
6 · The paper itself

Abstract

The application of mass spectrometry-based metabolomics in the field of drug metabolism has yielded important insights not only into the metabolic routes of drugs but has provided unbiased, global perspectives of the endogenous metabolome that can be useful for identifying biomarkers associated with mechanism of action, efficacy, and toxicity. In this report, a stable isotope- and mass spectrometry-based metabolomics approach that captures both drug metabolism and changes in the endogenous metabolome in a single experiment is described. Here the antioxidant drug tempol (4-hydroxy-2,2,6,6-tetramethylpiperidine-N-oxyl) was chosen because its mechanism of action is not completely understood and its metabolic fate has not been studied extensively. Furthermore, its small size (MW = 172.2) and chemical composition (C(9)H(18)NO(2)) make it challenging to distinguish from endogenous metabolites. In this study, mice were dosed with tempol or deuterated tempol (C(9)D(17)HNO(2)) and their urine was profiled using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Principal component analysis of the urinary metabolomics data generated a Y-shaped scatter plot containing drug metabolites (protonated and deuterated) that were clearly distinct from the endogenous metabolites. Ten tempol drug metabolites, including eight novel metabolites, were identified. Phase II metabolism was the major metabolic pathway of tempol in vivo, including glucuronidation and glucosidation. Urinary endogenous metabolites significantly elevated by tempol treatment included 2,8-dihydroxyquinoline (8.0-fold, P < 0.05) and 2,8-dihydroxyquinoline-β-d-glucuronide (6.8-fold, P < 0.05). Urinary endogenous metabolites significantly attenuated by tempol treatment including pantothenic acid (1.3-fold, P < 0.05) and isobutrylcarnitine (5.3-fold, P < 0.01). This study underscores the power of a stable isotope- and mass spectrometry-based metabolomics in expanding the view of drug pharmacology.

Indexed as

IsotopesMetabolomicsAnimalsCyclic N-OxidesMaleMiceMice, Inbred C57BLPrincipal Component AnalysisSpin LabelsCyclic N-OxidesIsotopesSpin Labelstempol

Identifiers

PMID23301521
PMCPMC3594779
OpenAlexW2055923752

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.