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Record W4235741876 · doi:10.22215/etd/2015-11157

The long-Term Effect of Juvenile Stressor Exposure and Access to Palatable Food: Alterations in Dopamine and Ghrelin Signalling

2015· dissertation· en· W4235741876 on OpenAlexfundno aff
Eliza Ali

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
FundersInstitut de recherche en santé mentale
KeywordsOrexigenicGhrelinDopamineEndocrinologyNucleus accumbensInternal medicineJuvenileStressorPsychologyReceptorNeuroscienceBiologyNeuropeptideMedicineNeuropeptide Y receptor

Abstract

fetched live from OpenAlex

Juvenile stressor exposure increases the susceptibility to anxiety-like characteristics in adulthood and it is thought that the consumption of palatable food can dampen the HPAaxis, in part, through the mesolimbic pathway.Ghrelin, an orexigenic peptide, increases food intake and has a role in stress-induced preference for palatable food by modulating dopamine release in the reward pathway.We hypothesize that the combination of juvenile stressor exposure and access to palatable food sensitizes the reward pathway, which will be manifested by altered dopamine receptor mRNA expression and enhanced sensitivity to ghrelin in adulthood.Findings revealed that access to palatable food ameliorated the anxiogenic effects of juvenile stressor exposure in adulthood however at the cost of increased adiposity.Interestingly, our findings displayed a lack of association between the upregulation of dopamine receptor mRNA expression occurring at nucleus accumbens to highly rewarding stimuli (cookie dough and cocaine) in previously stressed rats with access to palatable food.Juvenile stressor exposure enhanced ghrelin signalling for highly hedonic food whereas access to palatable food, regardless of stressor exposure, blunted ghrelin sensitivity.iii

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 score0.002
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 head0.026
GPT teacher head0.312
Teacher spread0.287 · 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
Published2015
Admission routes1
Has abstractyes

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