Evidence map›Paper›PMID 30830357›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Characterization of GMO or glyphosate effects on the composition of maize grain and maize-based diet for rat feeding.

Stéphane Bernillon, Mickaël Maucourt, Catherine Deborde, Sylvain Chéreau, Daniel Jacob, Nathalie Priymenko, Bérengère Laporte, Xavier Coumoul, Bernard Salles, Peter M Rogowsky and 2 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

12 authors at 5 institutions in 1 country.

Stéphane BernillonUMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Mickaël MaucourtUMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Catherine DebordeUMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Sylvain ChéreauUR MycSA, INRA, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Daniel JacobUMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Nathalie PriymenkoToxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, 31027, Toulouse, France.
Bérengère LaporteToxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, 31027, Toulouse, France.
Xavier CoumoulUMRS1124, Toxicologie, Pharmacologie et Signalisation Cellulaire, INSERM, Univ. Paris Descartes, 75000, Paris, France.
Bernard SallesToxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, 31027, Toulouse, France.
Peter M RogowskyLaboratoire Reproduction et Développement des Plantes, Univ. Lyon, ENS de Lyon, UCB Lyon 1 CNRS, INRA, 69000, Lyon, France.
Florence Richard-ForgetUR MycSA, INRA, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.
Annick MoingUMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France. annick.moing@inra.fr.ORCID 0000-0003-1144-3600
Université de Bordeaux · FRUniversité Toulouse III - Paul Sabatier · FRMycologie et Sécurité des Aliments · FRInserm · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn addition to classical targeted biochemical analyses, metabolomic analyses seem pertinent to reveal expected as well as unexpected compositional differences between plant genetically modified organisms (GMO) and non-GMO samples. Data previously published in the existing literature led to divergent conclusions on the effect of maize transgenes on grain compositional changes and feeding effects. Therefore, a new study examining field-grown harvested products and feeds derived from them remains useful.

objectivesOur aim was to use a metabolomics approach to characterize grain and grain-based diet compositional changes for two GMO events, one involving Bacillus thuringiensis toxin to provide insect resistance and the other one conferring herbicide tolerance by detoxification of glyphosate. We also investigated the potential compositional modifications induced by the use of a glyphosate-based herbicide on the transgenic line conferring glyphosate tolerance.

resultsThe majority of statistically significant differences in grain composition, evidenced by the use of

conclusionOnly part of the data previously published in the existing literature on maize grains of plants with the same GMO events could be reproduced in our experiment. All spectra have been deposited in a repository freely accessible to the public. Our grain and diet characterization opened the way for an in depth study of the effects of these diets on rat health.

Indexed as

MetabolomeAnimal FeedAnimalsFood, Genetically ModifiedGlycineGlyphosateRatsSeedsZea maysGlycineGlyphosateGMOGrainMaizeMetabolomicsRat diet

Identifiers

PMID30830357
OpenAlexW2789252708

What OpenQuestion holds

Textmetadata
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.