Effects of ergothioneine on endothelial cell and macrophage characteristics, and markers of atherosclerosis risk under high lipid conditions
Bibliographic record
Abstract
Ergothioneine (EGT) is an antioxidant and potential anti-inflammatory molecule that may have protective effects against the lipid-induced oxidative stress and inflammation that occurs in the vasculature of individuals with obesity and metabolic syndrome. This thesis addresses the hypothesis that EGT supplementation decreases endothelial cell dysfunction and macrophage inflammatory characteristics under high lipid conditions, and markers of atherosclerotic risk in diet-induced obese mice. Results showed that EGT did not influence endothelial tube formation or stability but reduced nitric oxide production in endothelial cells. Moreover, EGT decreased the production of reactive oxygen species, and potentially nitric oxide, by macrophages. In diet-induced obese mice with characteristics of metabolic syndrome, EGT did not influence circulating lipid, lipoprotein and glucose concentrations which are markers of atherosclerotic risk. In conclusion, EGT has moderate effects on vascular cells in vitro, and does not influence blood glucose and lipid markers of vascular disease risk in diet-induced obese mice.
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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 | 0.000 | 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) | 0.001 | 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".