PPAR-γ Activation Mediates Adipose Depot−Specific Effects on Gene Expression and Lipoprotein Lipase Activity
Bibliographic record
Abstract
This study sought to determine whether the adipose depot-specific (subcutaneous [SF] vs. visceral [VF]) action of peroxisome proliferator-activated receptor-gamma (PPAR-gamma) agonists on fat deposition extends to the expression of lipoprotein lipase (LPL) and other key adipose lipid metabolism genes, and whether changes in LPL impact triglyceridemia. Rats were fed a standard diet or an obesity-promoting diet for 3 weeks, with or without treatment with COOH, a nonthiazolidinedione PPAR-gamma agonist. Treatment effects were essentially similar in both dietary cohorts. COOH did not affect weight gain, but increased SF (inguinal) fat mass twofold and reduced VF (retroperitoneal) accretion by half. Corresponding depot-specific alterations were observed in mRNA levels of the glucocorticoid-activating enzyme 11beta-hydroxysteroid dehydrogenase 1 (11beta-HSD-1) and the thermogenic modulator uncoupling protein 1 (UCP-1). COOH increased brown adipose tissue (BAT) weight and LPL availability by five- to eightfold. In rats refed standard diet after a 24-h fast, COOH reduced the insulin excursion by half. The agonist increased SF LPL activity and mRNA levels, but had no effect on VF LPL. The two- to threefold postprandial increase in plasma triglycerides (TGs) was abrogated in COOH-treated rats, likely in part because of increased LPL in SF and BAT. Thus PPAR-gamma agonist treatment had a powerful, site-specific effect on adipose metabolism and lipid deposition, and greatly impacted the postprandial handling of TG-rich lipoproteins. These depot-specific effects may be mediated by differential regulation of key metabolic genes, including LPL, 11beta-HSD-1, and UCP-1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".