Bibliographic record
Abstract
Increased elastin production and accumulation is a rapid and sensitive response to elevated vascular wall stress in both systemic and pulmonary hypertension. While initially protecting the vessel wall, these structural changes may in the longer term result in reinforcement of the hypertensive state and contribute to the persistence of the pathology of hypertension. Rapid responses apparently uncorrelated with increased elastin mRNA, at least in the case of systemic vessels, suggest novel mechanisms perhaps including increased efficiency of message translation or matrix accumulation of the protein. Investigations using in vitro organ and cell culture models have indicated a role for phospholipases and protein kinases, including protein kinase C, in stretch-induced elastin synthesis. In addition, tyrosine phosphorylation of membrane/sub-membrane/cytoskeletal sensors, including focal adhesion kinase and members of the lipocortin family, have been shown to be important in this transduction mechanism. Because its turnover is normally very slow, additional vascular elastin accumulated during hypertensive episodes, together with its consequences for the physical properties of the vessel wall, may persist long after blood pressure is restored to normal levels. Thus, recent interest has been drawn to the possibility of achieving regression of accumulated matrix elastin by promoting turnover of this protein through activation of endogenous vascular elastase and collagenase activities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".