Wnt-signaling mediates the anti-adipogenic action of lysophosphatidic acid through cross talking with the Rho/Rho associated kinase (ROCK) pathway
Bibliographic record
Abstract
Lysophosphatidic acid (LPA) is a bioactive phospholipid with a diverse range of biological activities including the modulation of adipogenesis. Treatment of 3T3-L1 cells and 3T3F44A cells with LPA inhibits adipogenesis and reduces expression of PPARγ through activation of RhoGTPase and its downstream Rho associated kinase (ROCK). The mechanism of suppression of PPARγ expression by Rho/ROCK is poorly understood. By treating the differentiating 3T3-L1 cells with various combinations of LPA and ROCK inhibitors, Y-27632 and fasudil, we observed that LPA treatment resulted in attenuation of adipogenesis and a significant reduction in PPARγ mRNA as early as 3 d post-induction. LPA treatment also resulted in significant but delayed upregulation of components of the canonical Wnt signaling, namely Wnt10b mRNA, β-catenin protein, and mRNA expression of β-catenin target genes, detectable at day 7, but not day 3. Treatment of the 3T3-L1 cells with ROCK inhibitors Y-27632 and fasudil revealed a tonic activation of β-catenin/target genes by ROCK. This study identified the existence of a novel cross talk between the Rho/ROCK pathway and the Wnt-signaling pathway. The LPA/Rho/ROCK pathway inhibits expression of PPARγ and adipogenesis in part through a delayed activation of the canonical Wnt-signaling pathway based on increased Wnt10b expression and β-catenin induction.
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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 | 0.001 |
| 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".