MétaCan
Menu
← Back to cohort
Record W4247056923 · doi:10.22215/etd/2014-10555

The Effect of Fasting on LH Secretion in Female Rats with Mutations to the Ghrelin Receptor Gene

2014· dissertation· en· W4247056923 on OpenAlexaff
Farah Sabrin

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsCarleton University
Fundersnot available
KeywordsGhrelinInternal medicineEndocrinologyEveningBiologyReceptorEstrogenEstrogen receptorHormoneMedicine

Abstract

fetched live from OpenAlex

We investigated how ghrelin can mediate the inhibitory effects of fasting on the reproductive axis using female rats with a point mutation to the gene encoding GHSR.For this purpose, we fasted FHH GHSR KO rats and their WT counterparts starting on the evening of metestrus and ending 42h later on the expected proestrus afternoon.Rats were then euthanized; blood was collected and analyzed to compare plasma LH and estrogen concentrations between these animals and controls.Fasting significantly decreased LH concentrations in all rats regardless of their genotype.Interestingly, GHSR KO rats showed overall higher LH concentrations than WT rats regardless of their condition.Estrogen levels were not influenced by the genetic mutation and fasting.These findings suggest that ghrelin signalling is not required for a fastinginduced decrease in LH concentrations.However, ghrelin may modulate reproductive function as a negative feedback signal that reduces LH release regardless of energy state.

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: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.269
Teacher spread0.256 · 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 designObservational
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicRegulation of Appetite and Obesity→French-language works237,207→