Adiponectin receptor (ADIPOR1) signaling ameliorates obesity‐dependent cell cycle entry in MCF7 cells
Bibliographic record
Abstract
Adipose tissue produces and secretes hormones, termed adipokines, that have endocrine/paracrine effects on a wide variety of tissues. Two of these adipokines (adiponectin and leptin) have cell cycle effects on breast cancer cells and may underlie the molecular link between obesity and breast cancer. Adiponectin (ADIPO) and leptin (LEP) stoichiometrically antagonize each other in MCF7 cells. Stable 2.6‐fold over expression of ADIPOR1 inhibited LEP‐dependent antagonism of ADIPO in MCF7 cells. This effect of ADIPOR1 was also evident in MCF7 cells exposed to media conditioned by adipocytes from high fat diet fed animals (HFD‐CM). HFD‐CM inhibited AMPK, activated AKT, reduced p27 and ADIPOR1 protein levels in MCF7 cells compared to MCF7 cells exposed to CM from chow diet‐fed animals (CD‐CM). Stable overexpression prevented these HFD‐CM effects suggesting that maintenance of ADIPOR1 signaling may prevent obesity‐dependent breast cancer progression.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".