Calpain inhibitor I attenuates atherosclerosis and inflammation in atherosclerotic rats through eNOS/NO/NF-κB pathway
Bibliographic record
Abstract
-nitro-l-arginine-methyl ester (l-NAME) (100 mg/kg per day), the inhibitor of nitric oxide synthase (NOS), on atherosclerosis and inflammation in a rat model induced by high-cholesterol diet (HCD). The results demonstrated HCD increased protein expression of calpain-1 but not calpain-2 in aortic tissue. In addition, CAI reduced the thickness of atherosclerotic intima compared with HCD group, which was weakened by the l-NAME combination. CAI with or without l-NAME decreased the activity of calpain in the aorta. Also, CAI decreased the expressions of vascular cell adhesion molecule-1 (VCAM-1), intracellular cell adhesion molecule-1 (ICAM-1), and monocyte chemoattractant protein-1 (MCP-1) in the aorta at the levels of both mRNA and protein. Furthermore, CAI increased the activity and the protein expression of endothelial NOS (eNOS) accompanied by increased content of NO and downregulated the protein expression of nuclear factor κB (NF-κB) of the nucleus in the aorta. However, the abovementioned effects were at least partly cancelled by l-NAME except for the protein expression of eNOS. The results suggested that CAI attenuated atherosclerosis and inflammation through eNOS/NO/NF-κB pathway.
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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) | 0.001 | 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".