Antioxydant treatment prevents endothelial dysfunction and alteration of the eNOS pathway associated with severe dyslipidemia in mouse cerebral arteries
Bibliographic record
Abstract
Endothelial dysfunction observed in cardiovascular diseases has been linked with an excess in free radical formation. We hypothesized that a chronic treatment with the antioxydant catechin would preserve the endothelium by maintaining eNOS function in dyslipidemic mice (DL). DL (C57Bl/6‐LDLR −/− ;ApoB +/+ ) 3 months‐old (m/o) male mice were treated with catechin (30 mg/kg/day) for 3 months. C57Bl/6 (WT) were used as controls. Endothelium‐dependent dilations to acetylcholine (EDD; % max diameter) were recorded in pressurized cerebral arteries. Results are mean±SEM of n = 6 mice. Myogenic tone (MT) increased in DL at 3 and 6 m/o (from 14±5% and 22±4% in WT, to 44±4% and 48±5% in DL; p<.05) but was restored by catechin (29±4%). eNOS inhibition with N‐nitro‐L‐arginine (L‐NNA) increased MT at both ages in WT (p<.05) but not in DL (43±6%, 34±4%, 58±6% and 52±5%, respectively). EDD was reduced at 3 and further at 6 months in DL compared to WT (26±2%, 17±2%, 45±6% and 38±4%, respectively; p<.05). L‐NNA reduced EDD in 3 and 6 m/o WT and in 3 m/o DL (24±2, 20±4% and 13±4%, respectively; p<0.5) but not in 6 m/o DL (18±2%). Catechin improved EDD in DL (31±3%; p<0.5) and restored eNOS function: L‐NNA reduced EDD (9±1%; p<.05) and increased MT (44±4%; p<.05). In conclusion, chronic treatment with catechin limits endothelial dysfunction due to its protective effect on the eNOS pathway in DL mouse cerebral arteries. This work is supported by CIHR.
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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 | 0.001 |
| 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 | 0.001 | 0.002 |
| 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".