Peroxisome proliferator-activated receptor-α ligands inhibit cardiac lipoprotein lipase activity
Bibliographic record
Abstract
Peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors that regulate gene expression of lipoprotein lipase (LPL) in liver and adipose tissue. We examined the direct effect of PPAR-alpha ligands on LPL catalytic activity in cultured cardiomyocytes from adult rat heart. After overnight culture (16 h), 1 microM Wy-14643 and 10 microM BM-17.0744 decreased total cellular LPL activity to approximately 50% of control with no change in enzyme synthesis or mass; as a consequence, PPAR-alpha activation produced a significant decrease in LPL specific activity (mU/ng LPL protein). Wy-14643 and BM-17.0744 also reduced heparin-releasable LPL activity and mass in the culture medium. Inhibition of LPL activity by Wy-14643 did not reduce the ability of insulin plus dexamethasone to stimulate cellular and heparin-releasable LPL activities. A similar inhibitory effect on cellular and heparin-releasable LPL activity was observed when cardiomyocytes were cultured with 60 microM linoleic acid. In conclusion, two different PPAR-alpha ligands (Wy-14643 and BM-17.0744) inhibited cellular LPL activity in cultured cardiomyocytes by a posttranscriptional and posttranslational mechanism.
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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 | 0.001 |
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".