Inflammaging and Proteases in Abdominal Aortic Aneurysm
Bibliographic record
Abstract
Abdominal aortic aneurysm (AAA) is an age-related disease resulting in aortic wall weakening and dilatation which may progress to the fatal point of abrupt aortic wall rupture. Chronic inflammation is a driving force in the pathogenesis of AAA and extracellular matrix (ECM) proteases are considered central to aortic wall degradation. Considerable effort is dedicated to identifying the proteases responsible as well as the mechanism by which these proteases contribute to disease progression. As such, they are considered important molecular targets for pharmacological intervention. Along with smoking, male gender and family history, aging is a major risk factor for AAA. Examination of age-related changes of the immune system reveals an interwoven relationship between the processes of aging and chronic inflammation, collectively predisposing to AAA development. The present review explores current evidence as to the role of specific ECM proteases in AAA pathogenesis. The contribution of the aging process to disease pathogenesis is also explored to provide the relevant context and highlight key molecular pathways that should be considered while attempting to develop effective treatment approaches.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".