Endothelium‐dependent contractions induced by aging and diet‐induced obesity are attenuated in lipocalin‐2 deficient mice
Bibliographic record
Abstract
Aim Levels of Lipocalin‐2, a pro‐inflammatory adipokine, correlates with adiposity, dyslipidemia, hyperglycemia and insulin resistance. The present study evaluates vascular function in mice with deletion of the lipocalin‐2 gene (Lcn2‐KO). Methods Wild type (WT) and Lcn2‐KO mice were fed with standard or high fat diet for 3–17 weeks. Intra‐arterial blood pressure was measured. Isometric tension was measured in carotid artery rings with or without endothelium. Protein expression was measured by Western blotting. Results The obesity‐induced increase in systolic blood pressure was attenuated in Lcn2‐KO mice. In aged or obese WT mice, acetylcholine (ACh)‐elicited endothelium‐dependent contractions were abolished by the COX‐1 selective inhibitor SC560 and the NADH oxidase inhibitor diphenylene iodonium. These contractions were attenuated in Lcn2‐KO mice. ACh‐stimulated superoxide anion production, COX‐1 mRNA and protein expression were decreased in Lcn2‐KO arteries. ACh‐induced production of prostacyclins (PGI2) was lower in Lcn2‐KO preparations. In aged or obese WT mice, PGI2 caused contractions in rings without endothelium but these contractions were reversed to relaxations in Lcn2‐KO arteries. Conclusions Lipocalin‐2 plays an important role in obesity‐induced hypertension and endothelial dysfunction through production of superoxide anions and COX‐1 expression.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".