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Record W4417472049 · doi:10.1038/s41598-026-53015-3

Methylphenidate exposure alters brain gene expression and induces transgenerational DNA methylation changes in <i>Poecilia reticulata</i> guppies

2025· article· en· W4417472049 on OpenAlexafffund
R.J. Alfaro, Alex R. De Serrano, Dustin Sokolowski, Kimberly A. Hughes, F. Helen Rodd, Ina Anreiter

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsThe Scarborough HospitalOntario Institute for Cancer ResearchUniversity of Toronto
FundersCanadian Statistical Sciences InstituteNatural Sciences and Engineering Research Council of CanadaOntario Genomics
KeywordsEpigeneticsDNA methylationTransgenerational epigeneticsMethylphenidateGenePhenotypeGene expressionMethylation

Abstract

fetched live from OpenAlex

Abstract Chronic exposure to stimulants is known to affect behavioral phenotypes and epigenetic profiles intergenerationally. We have previously shown that chronic methylphenidate hydrochloride (MPH) exposure in male guppies ( Poecilia reticulata ) induces persistent, paternally transmitted behavioral changes across multiple unexposed generations. Here, we investigated the underlying epigenetic signatures of this transgenerational behavioral inheritance. Building on our previous study, which used composite behavioral scores, we investigates the transgenerational inheritance patters of individual behaviors and found a robust, male-lineage–dependent increase in swimming across unexposed G2–G4 female offspring. Our molecular analysis showed that that chronic MPH exposure in G1 males alters brain gene expression, with 76 differentially expressed genes including genes with developmental and locomotory functions, and an over-representation of long non-coding RNAs. Furthermore, we found that unexposed G4 descendants from MPH-treated lineages exhibit widespread changes in brain DNA methylation, including genes related to developmental and swimming behavior. Interestingly, we found one lnRNA, LOC103476631, as both differentially expressed in G1 males and differentially methylated in G4 fish, providing a compelling candidate for ncRNA-directed DNA methylation as a mechanism for the observed transgenerational epigenetic inheritance of swimming behavior. Author Summary Drugs used to treat attention-deficit/hyperactivity disorder, such as methylphenidate, are widely prescribed to children and adolescents during key stages of brain development. We previously showed that exposing male guppies to a low, chronic dose of methylphenidate changed anxiety-like behavior not only in the treated fish but also in several generations of their unexposed descendants. In this study, we asked how such long-lasting behavioral effects might be recorded in the brain. We first confirmed that a simple measure of swimming behavior remains altered in descendants of treated males across multiple generations. We then examined brains from the directly exposed fathers and from great-grand-offspring that were never exposed to the drug. In fathers, we found changes in the activity of genes, including many long non-coding RNAs, a class of genes that has been linked to transgenerational inheritance. In great-grand-offspring, we found significantly altered DNA methylation profiles, an epigenetic mark that has also been associated with transgenerational inheritance. Together, our findings suggest that developmental exposure to a commonly used stimulant can leave a stable molecular ‘memory’ in the brain that persists across generations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.263
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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