Evidence map›Paper›PMID 24161236›Full record

ArticleJournal of proteome research2013

A metabolomics investigation of non-genotoxic carcinogenicity in the rat.

Zsuzsanna Ament, Claire L Waterman, James A West, Catherine Waterfield, Richard A Currie, Jayne Wright, Julian L Griffin

Abstract read
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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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, 17 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

7 authors at 1 institution in 1 country.

Zsuzsanna AmentMedical Research Council Human Nutrition Research (MRC HNR), Elsie Widdowson Laboratory , 120 Fulbourn Road, Cambridge CB1 9NL, U.K. , The Department of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K. , and Cambridge Systems Biology Centre (CSBC), University of Cambridge , Cambridge CB2 1QR, U.K.
Claire L Waterman
James A West
Catherine Waterfield
Richard A Currie
Jayne Wright
Julian L Griffin
Syngenta (Switzerland) · CH

Funding

Optimized Metabolite Extraction, Separation, and Identification for MetabolomicsR01ES022186 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2012 to 2016
$2.0M
Biotechnology and Biological Sciences Research Council BB/H013539/1Medical Research Council MC_UP_A090_1006Medical Research Council UD99999906NIEHS NIH HHS ES022186NIEHS NIH HHS R01 ES022186Wellcome Trust 093148/Z/10/Z
6 · The paper itself

Abstract

Non-genotoxic carcinogens (NGCs) promote tumor growth by altering gene expression, which ultimately leads to cancer without directly causing a change in DNA sequence. As a result NGCs are not detected in mutagenesis assays. While there are proposed biomarkers of carcinogenic potential, the definitive identification of non-genotoxic carcinogens still rests with the rat and mouse long-term bioassay. Such assays are expensive and time-consuming and require a large number of animals, and their relevance to human health risk assessments is debatable. Metabolomics and lipidomics in combination with pathology and clinical chemistry were used to profile perturbations produced by 10 compounds that represented a range of rat non-genotoxic hepatocarcinogens (NGC), non-genotoxic non-hepatocarcinogens (non-NGC), and a genotoxic hepatocarcinogen. Each compound was administered at its maximum tolerated dose level for 7, 28, and 91 days to male Fisher 344 rats. Changes in liver metabolite concentration differentiated the treated groups across different time points. The most significant differences were driven by pharmacological mode of action, specifically by the peroxisome proliferator activated receptor alpha (PPAR-α) agonists. Despite these dominant effects, good predictions could be made when differentiating NGCs from non-NGCs. Predictive ability measured by leave one out cross validation was 87% and 77% after 28 days of dosing for NGCs and non-NGCs, respectively. Among the discriminatory metabolites we identified free fatty acids, phospholipids, and triacylglycerols, as well as precursors of eicosanoid and the products of reactive oxygen species linked to processes of inflammation, proliferation, and oxidative stress. Thus, metabolic profiling is able to identify changes due to the pharmacological mode of action of xenobiotics and contribute to early screening for non-genotoxic potential.

Indexed as

MetabolomicsAnimalsBiomarkersCarcinogensDNA DamageEicosanoidsFatty Acids, NonesterifiedGene ExpressionHumansLipid MetabolismLiverLiver Neoplasms, ExperimentalMaleMutagensPhospholipidsPPAR alphaBiomarkersCarcinogensEicosanoidsFatty Acids, NonesterifiedMutagensPhospholipidsPPAR alphaReactive Oxygen SpeciesTriglycerides

Identifiers

PMID24161236
PMCPMC3980845
OpenAlexW2020487123

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.