Evidence map›Paper›PMID 42203108›Full record

ArticleMolecular metabolism2026

Insulin resistance induced by pesticides is overcome by pancreatic islet adaptation in a mouse model of Parkinson's disease.

Ambrine Arrar, Nour Mesto, Roxane Descaillot, Muris Humo, Aude De Cesar, Damien Gaillard, Latifa Lakhdar, Johann Vulin, Claire Aufauvre, Raphaëlle Baumier and 11 more

Abstract read
In one paragraph

Article in Molecular metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Ambrine ArrarIGF, Univ Montpellier, CNRS, INSERM, Montpellier, France.
Nour MestoIGF, Univ Montpellier, CNRS, INSERM, Montpellier, France.
Roxane DescaillotIGF, Univ Montpellier, CNRS, INSERM, Montpellier, France.
Muris HumoANSES, University of Lyon, Lyon, France.
Aude De CesarANSES, University of Lyon, Lyon, France.
Damien GaillardANSES, University of Lyon, Lyon, France.
Latifa LakhdarANSES, University of Lyon, Lyon, France.
Johann VulinANSES, University of Lyon, Lyon, France.
Claire AufauvreANSES, University of Lyon, Lyon, France.
Raphaëlle BaumierANSES, University of Lyon, Lyon, France.
Camille BellièresMGX-Montpellier GenomiX, Univ Montpellier, CNRS, INSERM, Montpellier, France.
Jacques ImbertMGX-Montpellier GenomiX, Univ Montpellier, CNRS, INSERM, Montpellier, France.
Prunelle PerrierToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, France.
Emilien L JaminToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, France; MetaboHUB-Metatoul, National Infrastructure of Metabolomics and Fluxomics, Metatoul-AXIOM, Toulouse, France.
Romain VuillaumeToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, France; MetaboHUB-Metatoul, National Infrastructure of Metabolomics and Fluxomics, Metatoul-AXIOM, Toulouse, France.
Jean-Noël ArsacANSES, University of Lyon, Lyon, France.
Anne FougeratToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, France.
Magalie A RavierIGF, Univ Montpellier, CNRS, INSERM, Montpellier, France. Electronic address: magalie.ravier@igf.cnrs.fr.
Thierry BaronANSES, University of Lyon, Lyon, France.
Laurence Gamet-PayrastreToxalim (Research Center in Food Toxicology), INRAE, ENVT, INP-Purpan, UPS, Toulouse University, Toulouse, France.
Safia CostesIGF, Univ Montpellier, CNRS, INSERM, Montpellier, France. Electronic address: safia.costes@igf.cnrs.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to certain pesticides appears to be involved in type 2 diabetes and Parkinson's disease onset which are reported to be epidemiologically associated. While the exact causes of this association and the deleterious mechanisms linking these aging-associated diseases are not fully known, it seems important to assess the extent to which environmental factors such as pesticides could be involved. Our aim was to evaluate the consequences of chronic dietary exposure to a mixture of pesticides at levels below the Acceptable Daily Intake in transgenic mice predisposed to develop motor disorders. Male mice expressing mutated A53T human α-synuclein (M83) and wild-type mice were fed either a control or a diet enriched with 6 pesticides (captan, boscalid, chlorpyrifos, thiachloprid, thiofanate, ziram) for 50 weeks. Exposure to pesticides led to body weight gain and insulin resistance in wild-type and M83 mice, caused, at least in part, by a reduction in insulin receptor levels in liver, skeletal muscle and adipose tissue. However, only M83 mice exposed to pesticides showed early motor deficits associated with decreased insulin receptor levels in midbrain and striatum. While pesticides promoted glucose intolerance in wild-type mice, M83 mice surprisingly showed improved glucose tolerance accompanied by a significant increase in pancreatic beta-cell mass and function. Transcriptomic analysis further revealed an enrichment of genes involved in amino-acid metabolism in M83 mouse islets with abundant α-synuclein expression. Overall, exposure to pesticides led to insulin resistance, which can be overcome thanks to a previously unrecognized role of α-synuclein in beta-cell adaptation.

Indexed as

Insulin ResistanceIslets of LangerhansParkinson DiseasePesticidesalpha-SynucleinAnimalsDisease Models, AnimalHumansMaleMiceMice, Inbred C57BLMice, TransgenicReceptor, Insulinalpha-SynucleinPesticidesReceptor, InsulinInsulin resistancePancreatic beta-cellParkinson's diseasePesticides

Identifiers

PMID42203108
PMCPMC13273497

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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.