Adiponectin and Leptin Affect Cell Cycle Regulation and Adiponectin Receptor Function
Bibliographic record
Abstract
To establish a molecular link between obesity and cancer we examined the effects of the adipocyte produced peptides leptin (LEP) and adiponectin (ADIPO) on MCF7 cell cycle regulation. p27 levels decreased and increased with LEP and ADIPO, respectively, suggesting adipokine‐mediated MCF7 cell cycle regulation. LEP overcame the effects of ADIPO on p27 protein levels. LEP increased adiponectin receptor (ADIPOR) levels despite inhibiting ADIPO action, suggesting that LEP is stabilizing and inactivating ADIPOR. Inhibition of AKT enhanced ADIPOR protein levels, increased 14‐3‐3/ADIPOR binding and inhibited AMPK phosphorylation. Thus, phosphorylation of ADIPOR by AKT disrupts ADIPOR/14‐3‐3 interactions and promotes ADIPOR degradation. ADIPO induces AMPK‐mediated phosphorylation of p27 at T198 and stabilizes p27 protein, effects similar to those seen after AMPK activation by AICAR. ADIPO and AICAR effects on p27 phosphorylation were inhibited by the AMPK inhibitor compound C. ADIPO also induced decreases in ADIPOR protein levels. Our data suggest that ADIPO and LEP exert antagonistic effects on mammary cell cycle regulation, in part by regulating the function and expression of ADIPOR.
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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".