Endothelin-1-Like Immunoreactivity in Postobstructive Pulmonary Vasculopathy
Bibliographic record
Abstract
Postobstructive pulmonary vasculopathy (POPV) is produced by chronic ligation of one pulmonary artery and results in bronchial collateral vessel proliferation and pulmonary arterial abnormalities. The role of endothelin-1 (ET-1), a potent vasoconstrictor peptide, was investigated in a canine model of POPV using radioimmunoassay and immunohistochemistry. The left main pulmonary artery of 9 dogs was ligated, and 3 months (n = 3) and 15 months (n = 6) later, ET-1 levels were measured by radioimmunoassay of plasma samples from left and right pulmonary arteries and veins. In addition, tissues from control and ligated lungs were fixed in Bouin's solution embedded in paraffin and stained with antiserum to ET-1. Plasma ET-1 levels distal to the ligation were not different from those of the control pulmonary artery (1.7 pg/ml in the ligated lungs vs. 1.4 pg/ml in the controls; NS). ET-1-like immunoreactivity was localized mainly to the epithelium in both control and ligated lungs, but the pulmonary arteries and the new bronchial vessels stained more intensely in the ligated lungs. The sections immunostained with ET-1 antiserum preabsorbed with synthetic ET-1 did not stain. These results suggest that ET-1 may play a role in the bronchial neovascularization and the pulmonary arterial thickening characteristic of POPV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".