Evidence map›Paper›PMID 39446878›Full record

ArticlePLoS biology2024

Individualistic reward-seeking strategies that predict response to nicotine emerge among isogenic male mice living in a micro-society.

Sophie L Fayad, Lauren M Reynolds, Nicolas Torquet, Stefania Tolu, Sarah Mondoloni, Claire Nguyen, Amy Siriphanh, Robin Justo, Steve Didienne, Nicolas Debray and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Sophie L FayadSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Lauren M ReynoldsSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Nicolas TorquetSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Stefania ToluSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Sarah MondoloniSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Claire NguyenSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Amy SiriphanhSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Robin JustoSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Steve DidienneSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Nicolas DebrayESPCI Paris, PSL Research University, Brain Plasticity laboratory, CNRS UMR8249, Paris, France.
Cécile ViolletESPCI Paris, PSL Research University, Brain Plasticity laboratory, CNRS UMR8249, Paris, France.
Louis RaynaudESPCI Paris, PSL Research University, Brain Plasticity laboratory, CNRS UMR8249, Paris, France.
Yasmine LayadiESPCI Paris, PSL Research University, Brain Plasticity laboratory, CNRS UMR8249, Paris, France.
Coralie FouquetSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Bernadette HannesseSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Ana-Marta CapazSorbonne University, ICM Institut du Cerveau et de la Moelle Epinière, Laboratoire de Plasticité Structurale INSERM U1127, CNRS UMR7225, Paris, France.
Thomas TopilkoSorbonne University, ICM Institut du Cerveau et de la Moelle Epinière, Laboratoire de Plasticité Structurale INSERM U1127, CNRS UMR7225, Paris, France.
Nicolas RenierSorbonne University, ICM Institut du Cerveau et de la Moelle Epinière, Laboratoire de Plasticité Structurale INSERM U1127, CNRS UMR7225, Paris, France.
Alexandre MourotSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Fabio MartiSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.
Philippe FaureSorbonne University, INSERM, CNRS UMR8246, Neuroscience Paris Seine-Institut de Biologie Paris Seine (NPS-IBPS), Paris, France.

Funding

French Institute for Public Health Research (IReSP)French National Cancer Institute
6 · The paper itself

Abstract

Individual animals differ in their traits and preferences, which shape their social interactions, survival, and susceptibility to disease, including addiction. Nicotine use is highly heterogenous and has been linked to the expression of personality traits. Although these relationships are well documented, we have limited understanding of the neurophysiological mechanisms that give rise to distinct behavioral profiles and their connection to nicotine susceptibility. To address this question, we conducted a study using a semi-natural and social environment called "Souris-City" to observe the long-term behavior of individual male mice. Souris-City provided both a communal living area and a separate test area where mice engaged in a reward-seeking task isolated from their peers. Mice developed individualistic reward-seeking strategies when choosing between water and sucrose in the test compartment, which, in turn, predicted how they adapted to the introduction of nicotine as a reinforcer. Moreover, the profiles mice developed while isolated in the test area correlated with their behavior within the social environment, linking decision-making strategies to the expression of behavioral traits. Neurophysiological markers of adaptability within the dopamine system were apparent upon nicotine challenge and were associated with specific profiles. Our findings suggest that environmental adaptations influence behavioral traits and sensitivity to nicotine by acting on dopaminergic reactivity in the face of nicotine exposure, potentially contributing to addiction susceptibility. These results further emphasize the importance of understanding interindividual variability in behavior to gain insight into the mechanisms of decision-making and addiction.

Indexed as

Behavior, AnimalNicotineRewardAnimalsDopamineMaleMiceMice, Inbred C57BLSocial BehaviorSocial EnvironmentDopamineNicotine

Identifiers

PMID39446878
PMCPMC11501037

What OpenQuestion holds

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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.