Endothelial-to-mesenchymal transition: a precursor to pulmonary arterial remodelling in patients with idiopathic pulmonary fibrosis
Bibliographic record
Abstract
Background: We have previously reported arterial remodelling in patients with idiopathic pulmonary fibrosis (IPF) and suggested that endothelial-to-mesenchymal transition (EndMT) might be central to these changes. This study aims to provide evidence for active EndMT in IPF patients. Methods: Lung resections from 13 patients with IPF and 15 normal controls (NCs) were immunostained for EndMT biomarkers: vascular endothelial cadherin (VE-cadherin), neural cadherin (N-cadherin), S100A4 and vimentin. Pulmonary arteries were analysed for EndMT markers by using computer- and microscope-assisted image analysis software Image ProPlus7.0. All the analysis was done with observer blinded to subject and diagnosis. Results: Increased expression of mesenchymal markers N-cadherin (p<0.0001), vimentin (p<0.0001) and S100A4 (p<0.05) was noted with downregulation of junctional endothelial VE-cadherin (p<0.01) in the intimal layer of the arteries from patients with IPF compared to NCs. Cadherin switch was observed in IPF patients, showing increase in endothelial N-cadherin and decrease in VE-cadherin (p<0.01). There was also VE-cadherin shift from junctions to cytoplasm (p<0.01), effecting endothelial cell integrity in patients with IPF. In IPF, individual mesenchymal markers vimentin and N-cadherin negatively correlated with diffusing capacity of the lungs for carbon monoxide (r'= -0.63, p=0.03 and r'= -0.66, p=0.01). Further, N-cadherin positively correlated with arterial thickness (r'=0.58, p=0.03). Conclusion: This is the first study to demonstrate active EndMT in size-based classified pulmonary arteries from IPF patients and potential role in driving remodelling changes. The mesenchymal markers had a negative impact on the diffusing capacity of the lungs for carbon monoxide. This work also informs early origins of pulmonary hypertension in patients with IPF.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".