Macrophage WTAP Deficiency Protects Atherosclerosis by Improving Macrophage Apoptosis in an m <sup>6</sup> A‐Independent Manner
Bibliographic record
Abstract
ABSTRACT Wilms' tumor 1‐associating protein (WTAP), a core component of the N6‐methyladenosine (m 6 A) methyltransferase complex, plays a crucial role in various biological processes. However, functional studies of WTAP in atherosclerosis development are largely unknown. Here, we demonstrate that WTAP expression was elevated in lipopolysaccharide (LPS)‐stimulated macrophages and atherosclerotic lesions of apolipoprotein E‐deficient ( ApoE −/− ) mice. To explore its functional role, we employed AAV8‐mediated in vivo knockdown and siRNA‐mediated in vitro silencing, which revealed that WTAP deficiency attenuated macrophage apoptosis and reduced atherosclerotic plaque formation. Mechanistically, we identified myosin heavy chain 11 (MYH11) as a mediator of WTAP‐induced macrophage apoptosis. Notably, WTAP upregulated MYH11 expression in macrophages through an m 6 A‐independent mechanism. These results delineate a new molecular paradigm that macrophage WTAP promotes macrophage apoptosis and atherosclerosis by increasing MYH11 expression, indicating that WTAP may be a potential therapeutic target against atherosclerosis.
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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) | 0.000 | 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".