Evidence map›Paper›PMID 25909471›Full record

ArticlePloS one2015

Metabolic outcome of female mice exposed to a mixture of low-dose pollutants in a diet-induced obesity model.

Danielle Naville, Emmanuel Labaronne, Nathalie Vega, Claudie Pinteur, Emmanuelle Canet-Soulas, Hubert Vidal, Brigitte Le Magueresse-Battistoni

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. The Exposome and Toxicology: A Win-Win Collaboration.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Review
  7. Article
  8. Adipose Tissue and Endocrine-Disrupting Chemicals: Does Sex Matter?International journal of environmental research and public health · 2020
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Occupational exposure to phthalates in relation to gender, consumer practices and body composition.Environmental science and pollution research international · 2016
    Article
  14. Article
  15. 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

7 authors at 3 institutions in 1 country.

Danielle NavilleCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Emmanuel LabaronneCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Nathalie VegaCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Claudie PinteurCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Emmanuelle Canet-SoulasCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Hubert VidalCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Brigitte Le Magueresse-BattistoniCarMeN Laboratory, INSERM U1060, Lyon-1 University, INRA UMR1397, INSA-Lyon, Oullins, France.
Université Claude Bernard Lyon 1 · FRLaboratoire CarMeN · FRHospices Civils de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollutants are suspected to contribute to the etiology of obesity and related metabolic disorders. Apart from occupational exposure which concerns a subset of chemicals, humans are mostly exposed to a large variety of chemicals, all life-long and at low doses. Food ingestion is a major route of exposure and it is suggested that pollutants have a worsened impact when combined with a high-fat diet. In the experimental studies described herein, we aimed to add further evidence on the metabolic impact of food pollutants using a recently set up model in which mice are life-long fed a high-fat/high-sucrose diet (HFSD) with/without common food pollutants shown to exhibit metabolic disrupting activities. Specifically, this mixture comprised bisphenol A, dioxin, polychlorobiphenyl PCB153, and phthalate and was added in HFSD at doses resulting in mice exposure at the Tolerable Daily Intake dose range for each pollutant. We herein focused on the 7-week-old females which exhibited early signs of obesity upon HFSD feeding. We observed no signs of toxicity and no additional weight gain following exposure to the mixture but alleviated HFSD-induced glucose intolerance in the absence of alteration of gluconeogenesis and steatosis. It suggested that the observed metabolic improvement was more likely due to effects on muscle and/or adipose tissues rather than on the liver. Consistently, female mice exhibited enhanced lean/fat mass ratio and skeletal muscle insulin sensitivity. Moreover, expression levels of inflammatory markers were reduced in adipose tissue at 7 but enhanced at 12 weeks of age in agreement with the inverse alterations of glucose tolerance observed at these ages upon pollutant exposure in the HFSD-fed females. Collectively, these data suggest apparent biphasic effects of pollutants upon HFSD feeding along with obesity development. These effects were not observed in males and may depend on interactions between diet and pollutants.

Indexed as

MetabolomeMetabolomicsAdipose TissueAnimalsBody WeightDiet, High-FatDisease Models, AnimalEnvironmental PollutantsFatty AcidsFemaleGene ExpressionInflammation MediatorsLiverMiceObesityOxidation-ReductionEnvironmental Pollutantsestrone sulfotransferaseFatty AcidsInflammation MediatorsRNA, MessengerSulfotransferases

Identifiers

PMID25909471
PMCPMC4409066
OpenAlexW1965916644

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.