Ginsenoside rg3 reduces body weight by regulating fat content and browning in obese mice
Bibliographic record
Abstract
To determine the effects of ginsenoside rg3 on the body weight of C57BL/6J obese mice and to investigate its underlying weight loss mechanisms with a focus on white fat browning-related factors. Eight-week-old C57BL/6J male mice were fed a high-fat diet for 12 successive weeks to construct the obese model. C57BL/6J male mice were fed a standard chow diet to construct normal control group. After 8 weeks of intervention with ginsenoside rg3, the food intake, body weight, body fat mass, blood sugar, and lipid profiles of the mice in each group were detected. Hematoxylin and eosin (HE) staining was used to observe the histological morphology of the adipose tissues. Real-time polymerase chain reaction (RT-PCR) and Western blotting (WB) were applied to detect the gene and protein expression levels of peroxisome proliferators-activated receptor gama (PPARγ), Peroxisome proliferator-activated receptor-gamma coactivator -1alpha (PGC-1α), PR domain containing 16 (PRDM16), and uncoupling protein 1 (UCP-1). Compared to normal control group mice, the body weight, food intake, body fat composition, and blood lipid levels of model group mice increased significantly. After 8 weeks of intervention with ginsenoside rg3, body weight, body fat composition, food intake, and blood lipid profiles decreased. HE staining showed that ginsenoside rg3 can improve white adipocyte hypertrophy to a certain extent. RT-PCR and WB demonstrated that ginsenoside rg3 can increase the mRNA and protein expression levels of PPARγ, PGC-1α, PRDM16, and UCP-1 in the adipose tissues of obese mice. The weight reduction effect of ginsenoside rg3 may be related to the promotion of white fat browning.
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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 | 0.001 | 0.002 |
| 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".