Clonal hematopoiesis activates procalcific pathways in macrophages and promotes aortic valve stenosis
Bibliographic record
Abstract
Clonal hematopoiesis (CH) due to Tet methylcytosine dioxygenase 2 (TET2) driver mutations is associated with coronary heart disease and a worse prognosis for patients with aortic valve stenosis (AVS). However, it is unknown what role CH plays in the pathogenesis of AVS. In a meta-analysis of All of Us, BioVU, and the UK Biobank, patients with clonal hematopoiesis of indeterminate potential (CHIP) had an increased risk of AVS, with a higher risk among patients with TET2 or ASXL1 mutations. Single-cell RNA-Seq of immune cells from patients with AVS harboring TET2 CH driver mutations revealed monocytes with heightened proinflammatory signatures and increased expression of procalcific paracrine signaling factors, most notably oncostatin M (OSM). Secreted factors from TET2-silenced macrophages increased in vitro calcium deposition by mesenchymal cells, which was ablated by OSM silencing. Atherosclerosis-prone low-density lipoprotein receptor-deficient (Ldlr-/-) mice receiving CH-mimicking Tet2-/- bone marrow transplants displayed greater calcium deposition in aortic valves. Together, these results demonstrate that monocytes with CH promote aortic valve calcification and that patients with CH are at increased risk of AVS.
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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 | 0.000 |
| 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".