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Record W6992878991

Molecular mechanisms of leptin receptor signaling in ovarian granulosa cells

2013· dissertation· en· W6992878991 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsLeptinLeptin receptorAdipokineAdipose tissueFollicular phaseLuteal phaseHormoneReceptor
DOInot available

Abstract

fetched live from OpenAlex

Extreme deviations from what is considered normal body weight, from anorexia to obesity, have been linked to reduced reproductive function in females. Discovered in 1994, leptin is a signaling hormone released from adipose tissue to mediate satiety effects in the hypothalamus. Leptin secretion is directly proportional to amount of body fat and evidence has accumulated that leptin and its receptor (Lepr) are found in a variety of tissues including granulosa cells (GCs) of the ovary. Thus, leptin through its receptor may play a role in reproductive function in females. Many studies have examined the effects of Lepr in GCs and the ovary, however the results are contradictory and all have been in vitro. Here we present the first in vivo study to examine the role of Lepr in GCs during follicular development and ovulation. Immature superovulated mice were used in all studies and GCs collected by follicle puncture. We first determined the expression profiles of Lepr isoforms (LeprA, LeprB) during follicular and luteal development along with leptin-related signaling molecules and targets. We also analyzed transcription factors potentially regulating Lepr expression in GCs. To examine the response of GCs to leptin in vivo, leptin hormone was administered at various times of follicular and luteal development. Lastly, we blocked Lepr action using a Lepr antagonist (SMLA) and determined its effects on ovulation. LeprA and LeprB were upregulated at 4h post- human chorionic gonadotropin (hCG) with LeprA being the most abundant isoform showing a 23-fold increase from 0 to 4h post-hCG. Leptin was upregulated at the same time and Lepr signaling molecules: signal transducer and activator of transcription 3 (Stat3), and suppressor of cytokine signaling 3 (Socs3), were upregulated just after Lepr induction at 7 and 12h post-hCG, respectively. CCAAT/enhancer-binding protein beta (Cebpb), which was induced at 1h post-hCG, was shown to associate with the Lepr promoter and thus regulate Lepr expression. Early growth response protein 1 (Egr1) protein and mRNA data revealed it to be another potential regulatory transcription factor with upregulation at 1h post-hCG, just prior to Lepr upregulation. Thus, the mRNA profiles of genes examined provide evidence of a role for Lepr during the periovulatory period. This was further confirmed as the in vivo response of GCs to a physiological dose of leptin was enhanced at 6h post-hCG evidenced by phosphorylation of mitogen-activated protein kinase (Mapk) and Stat3 proteins; however showed no change during the early follicular or luteal periods. Leptin treatment also increased expression of ovulation genes: a disintegrin and metalloproteinase with thrombospondin motifs 1 (Adamts1), programmed cell death 1 (Pdcd1), and Egr1. Antagonizing Lepr action reduced ovulation rate by 60% in SMLA-treated animals. This reduction appeared, at least in part, to be due to deregulated gene expression of Adamts10, Adamts19, Hyaluronan synthase 2 (Has2), amphiregulin (Areg), Pentraxin-related protein (Ptx3), and Forkhead box protein O1 (Foxo1). Overall, the results of this study provide molecular mechanisms for Lepr induction and signaling in GCs. In addition, it provides evidence that leptin and Lepr play a positive role during ovulation and are thus essential for optimal female fertility.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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 teacher head, not a consensus.

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
Published2013
Admission routes1
Has abstractyes

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