Therapeutic potential of the annexin A family in atherosclerosis
Bibliographic record
Abstract
Abstract Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of mortality and morbidity worldwide despite advancements in therapeutic options for the management of atherosclerosis (AS). Treatments that lower low‐density lipoprotein (LDL) cholesterol levels, such as statins or proprotein convertase subtilisin/kexin type 9 inhibitors, have effectively reduced ASCVD risk. However, residual CVD risk remains high, highlighting the need for additional effective therapies. Recently, colchicine has been approved for managing AS, introducing new avenues for targeting inflammation, a key process in AS. Various factors contribute to AS progression, such as endothelial dysfunction, leukocyte transmigration, vascular smooth muscle cell migration and phenotype‐switching, increased lipid retention, production of pro‐inflammatory cytokines and regulated cell death processes such as apoptosis. The annexin A (AnxA) family of proteins is well‐known for their ability to bind Ca 2+ and phospholipids, and they play diverse roles in inflammation, cell proliferation, migration, differentiation and signalling. Several AnxA proteins have been implicated in essential processes involved in AS development, including endothelial dysfunction, leukocyte transmigration and apoptosis. In this mini‐review, we highlight the roles of AnxA1, AnxA2, AnxA5, AnxA6, AnxA7 and AnxA8 in AS development and progression and their therapeutic potential in AS management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".