Antilipolytic and antilipogenic effects of the CPT-1b inhibitor oxfenicine in the white adipose tissue of rats
Bibliographic record
Abstract
Oxfenicine is a carnitine-palmitoyl transferase 1b (CPT-1b)-specific inhibitor that has been shown to improve whole body insulin sensitivity while suppressing fatty acid (FA) oxidation and increasing circulating FA. Because the white adipose tissue (WAT) is an organ that stores and releases FAs, this study investigated whether oxfenicine-induced inhibition of FA oxidation affected adiposity and WAT metabolism in rats fed either low (LF) or high-fat (HF) diets. Following 8 wk of dietary intervention, male Sprague-Dawley rats were given a daily intraperitoneal injection of oxfenicine (150 mg/kg body wt) or vehicle (PBS) for 3 wk. Oxfenicine treatment reduced whole body fat oxidation, body weight, and adiposity, and improved insulin sensitivity in HF-fed rats. All of these effects occurred without alterations in food intake, energy expenditure, and ambulatory activity. In vivo oxfenicine treatment reduced FA oxidation and lipolysis in subcutaneous inguinal (SC Ing) adipocytes, whereas glucose incorporation into lipids (lipogenesis) was significantly reduced in both SC Ing and epididymal (Epid) adipocytes. In summary, our results show that oxfenicine-induced inhibition of CPT-1b markedly affects WAT metabolism, leading to reduced adiposity through a mechanism that involves reduced lipogenesis in the SC Ing and Epid fat depots of rats.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".