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Record W2100846113 · doi:10.1210/en.2006-0679

Adiponectin Induces Periovulatory Changes in Ovarian Follicular Cells

2006· article· en· W2100846113 on OpenAlexafffund
Sandra Ledoux, Danila Barreiro Campos, Flávia L. Lopes, Mira Dobias-Goff, Marie‐France Palin, Bruce D. Murphy

Bibliographic record

VenueEndocrinology · 2006
Typearticle
Languageen
FieldMedicine
TopicAdipokines, Inflammation, and Metabolic Diseases
Canadian institutionsAgriculture and Agri-Food CanadaUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInternal medicineEndocrinologyAdiponectinAdipose tissueBiologyProtein kinase AInsulinInsulin resistanceKinaseMedicineCell biology

Abstract

fetched live from OpenAlex

Adiponectin, the most abundantly synthesized protein in adipose tissue, has plieotropic effects on liver, muscle, endothelium, placenta, and other tissues. We examined direct effects of recombinant porcine adiponectin on porcine ovarian granulosa cells in vitro. We demonstrate that adiponectin, at physiologically relevant levels (10-25 microg/ml), provokes expression of genes associated with periovulatory remodeling of the ovarian follicle over a time frame of 6-24 h. These include cyclooxygenase-2, prostaglandin E synthase, and vascular endothelial growth factor. Adiponectin modulates steroid synthetic protein gene expression, increasing steroidogenic acute regulatory protein transcript abundance and reducing cytochrome P450aromatase. Adiponectin has antidiabetic properties and sensitizes tissues to insulin. We show that it interacts with both LH and insulin in inducing expression of cyclooxygenase-2 transcripts in granulosa cells. We determined that the MAPK pathway, via phosphorylation of ERK1/2, is involved in mediation of the adiponectin signal in ovarian granulosa cells, rather than protein kinase A or the classic adiponectin transducer, AMP-activated protein kinase. Adiponectin synthesis is reduced in obesity, and our findings suggest that this reduction plays a role in obesity-related ovarian dysfunction.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.251
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations187
Published2006
Admission routes2
Has abstractyes

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