Lipingshu capsule improves atherosclerosis associated with lipid regulation and inflammation inhibition in apolipoprotein E–deficient mice
Bibliographic record
Abstract
BACKGROUND: Atherosclerosis (AS) is mainly responsible for cardiovascular diseases. The present study investigated whether Lipingshu capsule (LPS), whose ingredients are present in health food stores, has beneficial effect on AS. METHODS: mice were placed on high fat rodent diet and randomly separated into high fat diet (HFD) group and HFD + LPS group whose animals were given 0.9 g/kg.BW LPS daily for 10 weeks. Atherosclerotic lesions in aorta and aortic root were evaluated. Serum lipids and multiple cytokine were measured. RESULTS: mice fed with high fat diet had serious aortic lesions, whereas LPS markedly decreased plaque area of the total aorta and of the aortic root. LPS recovered the serum lipid profiles by substantially reducing TC, LDL-C, TG and Ox-LDL contents. Multi-cytokine analysis revealed greater serum levels of IL-1α, IL-1β, IL-6, IFN-γ, GMCSF, RANTES and TNF-α induced by high fat diet slumped with LPS treatment. CONCLUSION: LPS reduces atherosclerotic lesions and thus alleviates AS by lipid profile modulation and inflammation inhibition.
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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) | 0.001 | 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".