<i>Tetragonia tetragonioides</i> extract prevented high-fat-diet-induced obesity and changed hepatic and adipose transcriptomic signatures in C57BL/6J male mice
Bibliographic record
Abstract
Obesity, often driven by high-fat diets (HFDs), is a major global health issue, necessitating effective preventive measures. Tetragonia tetragonoides, a plant with known medicinal properties, has not been extensively studied for its effects on HFD-induced obesity and related genetic changes in mice. This study explores the impact of T. tetragonoides extract (TTE; 300 mg/kg) on obesity-related traits in C57BL/6J male mice, with a focus on transcriptomic changes in the liver and white adipose tissue (WAT). Over 8 weeks, TTE supplementation led to significant reductions in obesity-related phenotypes and modulated gene expression altered by HFD. Key genes like Cd180 and MUPs, linked to immune responses and lipid metabolism, were notably influenced by TTE. The study highlighted TTE's effects on lipid metabolism pathways in the liver and immune processes in WAT, underscoring its potential as an anti-obesity agent, while advocating for further research into its bioactive components.
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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) | 0.002 | 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".