Lipid-clearing tea aqueous extract alleviates dyslipidaemia <i>in vivo</i> and <i>in vitro</i> by activating the AMPK pathway
Bibliographic record
Abstract
Diseases such as dyslipidemia caused by lipid accumulation have gradually become one of the most damaging underlying threats to human health. Lipid Clearing Tea (LCT) is a kind of functional food formulated with four homology of medicine and food, and it includes hawthorn, cassia seed, chrysanthemum, and green tea, containing a variety of natural hypolipidemic functional and active ingredients. The purpose of this study is to investigate the effect of Lipid-clearing Tea Aqueous Extract (LCTAE) on alleviating dyslipidemia in an <i>in vivo</i> rat model induced by high-fat diet (HFD), and in an <i>in vitro</i> HepG2 cell model induced by oleic acid (OA) through examining biochemical indices, pathologic features, and protein expressions. The result of experiments <i>in vivo</i> showed that LCTAE ameliorated the abnormalities of biochemical indices in the serum, the accumulation of lipids in liver tissues, and reversed the expression of AMPK/FAS pathway proteins in rats. The results of <i>in vitro</i> experiments showed that LCTAE could significantly reduce the levels of TC and TG in OA-induced HepG2 cells compared with the OA group (<i>P</i> < 0.01), decrease intracellular lipid accumulation, and activate the activity of phosphorylated AMPK, which could regulate the AMPK/SREBP1c/FAS/ACC pathway and improve dyslipidemia. The above results indicate that LCTAE is beneficial to the improvement of dyslipidemia; thus, providing a theoretical basis for the development of functional food formulated with LCT and extending possibilities for the prevention and treatment of dyslipidemia and related metabolic diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".