Hypoadiponectinemia Is Associated with Valvular Inflammation and Faster Disease Progression in Patients with Aortic Stenosis
Bibliographic record
Abstract
OBJECTIVES: Adiponectin is a protein secreted by adipocytes which has anti-inflammatory properties. The objective of this study was to examine the relationship between adiponectinemia and the hemodynamic progression of aortic stenosis (AS) as well as the degree of inflammation in the valve explanted at the time of aortic valve replacement (AVR). METHODS: The plasma level of adiponectin was measured in 122 patients undergoing AVR. The explanted aortic valves were analyzed and the density of leukocytes (CD45+), T cells (CD3+) and blood vessels (von Willebrand factor positive; vWF+) was documented. Also, a subset of patients (n = 67) had ≥2 echocardiographic studies separated by at least 6 months, thereby allowing assessment of the rate of progression of stenosis during the preoperative period. RESULTS: Patients with lower plasma levels of adiponectin (<5.4 μg/ml) had a faster progression rate of the mean transvalvular gradient before surgery than those with higher levels (9 ± 1 vs. 4 ± 1 mm Hg/year; p = 0.008). Moreover, these patients with hypoadiponectinemia had significantly more leukocytes (CD45+), T cells and blood vessels (vWF+) in their explanted valves compared to those with higher adiponectin levels. CONCLUSION: These findings support the concept that adiponectin may play a protective role against the inflammatory process and progression of calcific AS.
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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 | 0.001 |
| 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 | 0.001 |
| 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".