Inflammatory genes and antioxidant response of aortic endothelial cells to minimally modified LDL in atherosclerosis‐susceptible and ‐resistant Japanese quail
Bibliographic record
Abstract
In this study, we examined whether variations of aortic endothelial cells (AEC) of atherosclerosis‐susceptible (SUS) and –resistant (RES) Japanese quail in response to minimally modified low‐density lipoprotein (mmLDL) constitute a genetic component in atherosclerosis. AEC were isolated from the aorta of SUS and RES birds, which differ markedly in susceptibility to dietary cholesterol‐induced atherosclerosis. Responses to mmLDL were examined by measuring the expression of inflammatory genes, monocyte chemotactic protein‐1 (MCP‐1) and macrophage colony‐stimulating factor (MCS‐F), heme oxygenase‐1 (HO‐1) and its reaction products (bilirubin, catalytic iron), and endogenous antioxidants glutathione peroxidase, glutathione reductase, superoxide dismutase, and catalase. AEC from SUS strain are more susceptible than those from the RES strain to mmLDL‐induced oxidative stress, as judged by lower HO activity, HO‐1 expression, endogenous antioxidants, ferritin and bilirubin levels. AEC from SUS birds also showed higher levels of catalytic iron and dramatic induction of MCP‐1 and MCS‐F. These results indicate that genetic factors and endogenous antioxidants may be important in determining the susceptibility of SUS and RES cells to oxidative stress.
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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".