Abstract 14950: Single-Cell Transcriptomic Analysis Reveals Emergence of Inflammatory and Activated Arterial Endothelial Cells Promoted by Cross-Talk With Mural Cells During Development of Severe Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Introduction: Pulmonary arterial hypertension (PAH) is a lethal disease characterized by occlusive arterial remodelling thought to be triggered by endothelial cell (EC) injury; however, the pathobiological mechanisms are poorly understood. We employed single cell RNA sequencing (scRNAseq) to define transcriptomic changes in the SU5416/chronic hypoxia (SU/CH) rat model. Methods: Sprague-Dawley rats were injected with 20mg/kg SU subcutaneously and exposed to 3 weeks of CH (10% O 2 ). Right ventricular systolic pressure (RVSP) was measured at baseline, 1, 3, 5, and 8-weeks, then lungs were explanted, digested, and dissociated into single cells which were sequenced using the 10x genomics platform. Results: Elevation of RVSP plateaued at >100 mmHg by 5 weeks. Dimensionality reduction of the scRNAseq data was performed using Uniform Manifold Approximation and Projection (UMAP) analysis resulting in 24 lung clusters. Cell prioritization analysis performed using Augur identified vascular cells as the most affected by SU/CH, including arterial ECs, pericytes, and gCap ECs. After sub-clustering the EC populations, eight distinct clusters were identified representing all expected subtypes (capillary, arterial, venous, and lymphatic). As well, two novel EC clusters were detected. The first showed reduced expression of classical EC genes ( Cdh5 , Cldn5 ) and increased proinflammatory markers ( RT1-Da , Cd74 ), termed ‘inflammatory’ ECs. The second was an arterial cluster that exhibited reduced expression of Dll4 and increased Cxcl12 and Fn1 , termed ‘activated’ arterial ECs. Both populations emerging at 1-week post SU, persisting throughout PAH progression. While many EC populations showed marked differential gene expression (DGE) at 1 week, the activated arterial cluster was the only cluster showing progression of DGE throughout progression of PAH. Receptor-ligand analysis with NicheNet identified activated arterial ECs as a top receiver cell responding to multiple ligands, including Bmp4/5 , Col4a1 , and Vegfa/c, which were largely derived from mural fibroblasts. Conclusion: Emergence of inflammatory and activated arterial ECs likely contribute to vascular remodelling associated with PAH promoted by cross-talk with lung stromal cells.
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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) | 0.002 | 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".