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Record W4413306227 · doi:10.1242/jeb.250921

Increases in cortisol production facilitate the transition to exogenous feeding by larval zebrafish

2025· article· en· W4413306227 on OpenAlexafffund
Brett M. Culbert, Emma Mossington, Nicholas J. Bernier

Bibliographic record

VenueJournal of Experimental Biology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Guelph
KeywordsDanioBiologyZebrafishPeriod (music)Internal medicineEndocrinologyEnzymeLarvaEcologyBiochemistryGene

Abstract

fetched live from OpenAlex

The transition to exogenous feeding is a critical developmental period that is regulated by corticosteroids in mammals. However, mechanistic evidence linking corticosteroids with feeding transitions in non-mammalian vertebrates remains scarce. Here, we pharmacologically suppressed cortisol production during the period preceding exogenous feeding by larval zebrafish (Danio rerio) and determined how this influenced feeding rates and transcript levels of digestive enzymes. Water-borne metyrapone (an 11β-hydroxylase inhibitor) from 3-5 days post-fertilization (dpf) blocked the 2-fold rise in cortisol levels observed in control larvae during this period. While whole-animal growth and development were unaffected, cortisol synthesis suppression during this period resulted in lower transcript abundance of digestive enzymes and reduced feeding rates at 5 dpf. However, these differences dissipated following a two-day washout period. Together, our results indicate that cortisol influences feeding transitions in zebrafish, highlight the plasticity of these processes following perturbations, and suggest that this mechanism is conserved across vertebrates.

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 score0.003
Threshold uncertainty score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.251
Teacher spread0.239 · 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

Explore more

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