Kaempferol: A Dietary Flavonol in Alleviating Obesity
Bibliographic record
Abstract
Obesity is considered as a chronic and high-prevalence disease on a global scale which affects all genders and ages. Although various drugs have been confirmed for the treatment of obesity, these medications have been shown to have a number of adverse effects on health. It is highlighted that natural products have an alleviative role in a broad spectrum of diseases, in particular obesity, and diabetes. Kaempferol (KMP), a plant- derived flavonol, is considerably engaged in the suppression of oxidative stress, radical scavenging, opposing cellular toxicity, and induction of the production and release of growth factors. This flavonol combats obesity by suppressing adipogenesis, regulating lipid and glucose metabolism, changing gut microbiota, and activating autophagy. Also, studies have shown that KMP exerts its anti-obesity actions by decreasing the accumulation of lipids and triglycerides (TGs), increasing fatty acid oxidation, and regulating multiple metabolic genes in the adipocytes. Considering that KMP may be a potential candidate for combating obesity, this paper summarizes the possible therapeutic roles of KMP in the treatment and prevention of this disease.
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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 | 0.001 | 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) | 0.004 | 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".