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Record W2902947000 · doi:10.22215/etd/2018-13208

Investigating the Role of the Growth Hormone Secretagogue Receptor in Food-Motivated Behaviours

2018· dissertation· en· W2902947000 on OpenAlexaff
Samantha J. King

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsCarleton University
Fundersnot available
KeywordsGhrelinGrowth hormone secretagogue receptorAppetitePsychologyEndocrinologyInternal medicineBiologyHormoneMedicine

Abstract

fetched live from OpenAlex

Ghrelin is a peptide produced in the gut that stimulates food intake.Action of ghrelin on its receptor, the GHSR, contributes to food motivated behaviours.Studies have found that the GHSR facilitates the activity of mesolimbic DA circuitry, promoting intake of highly palatable sugar or fat rich foods.Understanding what makes such foods attractive and rewarding may allow for behavioural, genetic, or pharmacological therapeutics to mitigate problematic overconsumption.The primary goals of this dissertation were to determine the consequences of interrupted GHSR signaling on food motivated behaviours, including binge-like feeding, and to examine whether GHSR in the VTA are an important neural substrate for the development and maintenance of such behavior.Operant responding for sucrose on a PR schedule of reinforcement, a measure of motivation to obtain a food reward, was diminished when rats lacked functional GHSR.These rats also spent less time in an environment previously paired with sucrose, suggesting a possible reward deficit as a result of loss of GHSR.GHSR null mice also consumed less sucrose in a two-bottle choice test in their home cage, and rescue of GHSR in the VTA was able to restore their preference for sucrose to the level of WT mice, implicating the VTA as a key node for GHSRs influence on preference for sweets.In a limited access model of high-fat binge eating, we found that GHSR KO mice binged less on fat than WT mice.Though, in our subsequent study, we found less robust effects of genotype on binge eating behavior, and rescue of GHSR in the VTA did not influence binge eating of fat.Further, pharmacological antagonism of the GHSR was not sufficient to reduce binge eating of high-fat in mice once established, indicating that the VTA is not the primary site of GHSRs influence on fat bingeing.Further studies examining ghrelin and the GSHR as moderators of food reward behavior are warranted, as it is likely that signaling through the GHSR promotes the associative learning induced by palatable food cues, as well as the motivation to obtain such foods, which may facilitate overconsumption.iiiAcknowledgements.I would like to thank my supervisor, Dr. Alfonso Abizaid, for the guidance, encouragement and advice he has provided me during my time in his lab.I consider myself lucky to have worked under his supervision and appreciate the freedom he offered me to pursue my research interests.His patience and compassion also helped me continue at times I thought I could

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 score0.008

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)0.0020.001

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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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
Published2018
Admission routes1
Has abstractyes

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