HDAC6: A Novel Histone Deacetylase Implicated in Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Pulmonary arterial hypertension (PAH) is a vascular remodeling disease with limited therapeutic options. Although exposed to stressful conditions, pulmonary artery (PA) smooth muscle cells (PASMCs) exhibit a "cancer-like" pro-proliferative and anti-apoptotic phenotype. HDAC6 is a cytoplasmic histone deacetylase regulating multiple pro-survival mechanisms and overexpressed in response to stress in cancer cells. Due to the similarities between cancer and PAH, we hypothesized that HDAC6 expression is increased in PAH-PASMCs to face stress allowing them to survive and proliferate, thus contributing to vascular remodeling in PAH. We found that HDAC6 is significantly up-regulated in lungs, distal PAs, and isolated PASMCs from PAH patients and animal models. Inhibition of HDAC6 reduced PAH-PASMC proliferation and resistance to apoptosis in vitro sparing control cells. Mechanistically, we demonstrated that HDAC6 maintains Ku70 in a hypoacetylated state, blocking the translocation of Bax to mitochondria and preventing apoptosis. In vivo, pharmacological inhibition of HDAC6 improved established PAH in two experimental models and can be safely given in combination with currently approved PAH therapies. Moreover, Hdac6 deficient mice were partially protected against chronic hypoxia-induced pulmonary hypertension. Our study shows for the first time that HDAC6 is implicated in PAH development and represents a new promising target to improve PAH.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".