PTHrP Inhibits Adipocyte Differentiation by Down-Regulating PPARγ Activity via a MAPK-Dependent Pathway
Bibliographic record
Abstract
We examined the capacity of PTHrP to modulate the terminal differentiation of the preadipocytic cell line, 3T3-L1. These cells express endogenous PTHrP and its receptor, but expression levels were undetectable after differentiation into mature adipocytes. Cells stably overexpressing PTHrP failed to differentiate when induced to undergo adipogenesis and proliferated at a faster rate. MAPK activity was elevated in PTHrP-transfected 3T3-L1 cells, and treatment with the PKA inhibitor H-8 decreased this activity. Inhibition of MAPK kinase with PD098059 permitted terminal differentiation of PTHrP-transfected 3T3-L1 cells to proceed. Although PPAR gamma gene expression levels remained relatively constant in the PTHrP-transfected cells, PPAR gamma phosphorylation was enhanced. Furthermore, the capacity of PPAR gamma to stimulate transcription in the presence of troglitazone was diminished by PTHrP. Expression of the PPAR gamma-regulated adipocyte specific gene aP2 transiently rose and then fell in PTHrP-transfected cells. These results indicate that PTHrP can increase MAPK activity in 3T3-L1 cells via the PKA pathway, thereby enhancing PPAR gamma phosphorylation. This modification can inactivate the transcriptional enhancing activity of PPAR gamma and diminish the expression of adipocyte-specific genes. These studies therefore demonstrate that PTHrP may inhibit the terminal differentiation of preadipocytes and describe a molecular pathway by which this action can be achieved.
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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) | 0.001 | 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".