Adiponectin Induces Periovulatory Changes in Ovarian Follicular Cells
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".