Unraveling AURKB as a potential therapeutic target in pulmonary hypertension using integrated transcriptomic analysis and pre-clinical studies
Bibliographic record
Abstract
Despite advances in treatment, the prognosis for patients with pulmonary arterial hypertension (PAH) remains dismal, highlighting the need for further therapeutic advances. By using RNA sequencing on pulmonary artery smooth muscle cells (PASMCs), functional enrichment, and connectivity map analyses, we identify Aurora kinase B (AURKB) as a candidate therapeutic target. We show that AURKB inhibition blocks cell cycle progression and reverses the gene signature of PAH-PASMCs. We also report that PAH-PASMCs that escape apoptosis acquire a senescence-associated secretory phenotype. In vivo, AURKB inhibition using barasertib improves hemodynamics in two preclinical models of established PAH by attenuating pulmonary vascular remodeling. A therapeutic effect is also observed in human precision-cut lung slices. Finally, we demonstrate that the combination of barasertib with a p21 attenuator is more effective in reducing vascular remodeling than either drug alone. These findings provide insight into strategies for therapeutic manipulation.
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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 | 0.001 | 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".