Omega-3 fatty acids and atorvastatin affect connexin 43 expression in the aorta of hereditary hypertriglyceridemic ratsThis article is one of a selection of papers published in a special issue on Advances in Cardiovascular Research.
Bibliographic record
Abstract
Statins and omega-3 polyunsaturated fatty acids (n-3 PUFA) reduce cardiovascular disease incidence during hypertriglyceridemia (HTG). To elucidate possible cardioprotective mechanisms, we focused on gap junction protein connexin 43 (Cx43). Its expression is disturbed during atherogenesis, but little information is available on its expression during HTG. Experiments were performed on adult male hereditary HTG (hHTG) rats treated with n-3 PUFA (30 mg/day) and atorvastatin (0.5 mg/100 g body weight per day) for 2 months. Cx43 expression and distribution in the aorta were investigated by using Western blotting and immunolabeling, followed by quantitative analysis. Transmission electronmicroscopy was used to study ultrastructure of endothelial contact sites. In contrast to age-matched Wistar, Cx43 expression in aorta of hHTG rats was significantly higher (p < 0.05), and prominent Cx43 immunospots were seen in tunica media and less in endothelium of hHTG rats. Changes in Cx43 expression were accompanied by local qualitative subcellular alterations of interendothelial connections. Treatment of hHTG rats with n-3 PUFA and atorvastatin markedly lowered Cx43 expression in aorta and modified connexin distribution in endothelium and media (p < 0.05 vs. untreated hHTG). The protective effect of treatment of HTG was observed on the structural integrity of the endothelium and was readily visible at the molecular level. Results indicate the involvement of altered Cx43 expression in vascular pathophysiology during HTG and during HTG treatment.
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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 | 0.001 | 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".