Fargesin improves lipid and glucose metabolism in 3T3‐L1 adipocytes and high‐fat diet‐induced obese mice
Bibliographic record
Abstract
This study examined the effects of fargesin, a neolignan isolated from Magnolia plants, on obesity and insulin resistance and the possible mechanisms involved in these effects in 3T3-L1 adipocytes and high-fat diet (HFD)-induced obese mice. Fargesin promoted the glucose uptake in 3T3-L1 adipocytes. In HFD-induced obese mice, fargesin decreased the body weight gain, white adipose tissue (WAT), and plasma triglyceride, non-esterified fatty acid and glucose levels, and improved the glucose tolerance. Fargesin increased glucose transporter 4 (GLUT4) protein expression and phosphorylation of Akt, AMP-activated protein kinase (AMPK), and acetyl-CoA carboxylase (ACC) in both 3T3-L1 adipocytes and WAT of HFD-induced obese mice. Fargesin also decreased the mRNA expression levels of fatty acid oxidation-related genes, such as peroxisome proliferator-activated receptor α (PPARα), carnitine palmitoyltransferase-1 (CPT-1), uncoupling protein-2 (UCP-2) and leptin in WAT. Taken together, the present findings suggest that fargesin improves dyslipidemia and hyperglycemia by activating Akt and AMPK in WAT.
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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) | 0.000 | 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 | 0.001 | 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".