Microvascular Regeneration in Established Pulmonary Hypertension by Angiogenic Gene Transfer
Bibliographic record
Abstract
Pulmonary arterial hypertension (PAH) is characterized by widespread loss of pulmonary microvasculature. Therefore we hypothesized that angiogenic gene therapy would reverse established PAH, in part restoring the lung microcirculation. Three weeks after monocrotaline (MCT) treatment, Fisher 344 rats were randomized to receive a total of either 1.5 x 10(6) syngeneic fibroblasts (FB) transfected with vascular endothelial growth factor A (VEGF), endothelial NO synthase (eNOS), or null-plasmid transfected FBs. Right ventricular systolic pressure (RVSP) was similarly increased in all MCT-treated groups at the time of gene transfer. Animals receiving the null-vector progressed to severe PAH by Day 35 (P < 0.001). In contrast, eNOS gene transfer significantly reduced RVSP at Day 35 compared with Day 21, whereas VEGF prevented further increases in RVSP over the subsequent 2 wk but did not reverse established PAH. RV hypertrophy was significantly reduced in both the eNOS-treated and VEGF-treated groups compared with the null-transfected controls. Fluorescent microangiography revealed widespread occlusion of the pre-capillary arterioles 21 d after MCT treatment, and animals receiving eNOS gene transfer exhibited the greatest improvement in the arteriolar architecture and capillary perfusion at Day 35. Cell-based eNOS gene transfer was more effective than VEGF in reversing established PAH, associated with evidence of regeneration of pulmonary microcirculation.
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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 | 0.001 |
| 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".