Involvement of BMPR2 in the protective effect of fluoxetine against monocrotaline-induced endothelial apoptosis in rats
Bibliographic record
Abstract
Mutations in bone morphogenetic protein (BMP) receptor II (BMPR2) are associated with the apoptosis of the pulmonary artery endothelial cells and the loss of the pulmonary small vessels. The present study was designed to investigate the involvement of BMPR2 in the protective effect of fluoxetine against monocrotaline (MCT)-induced endothelial apoptosis in rats. Models of pulmonary arterial hypertension in rats were established by a single intraperitoneal injection of MCT (60 mg/kg). Fluoxetine (2 and 10 mg/kg) was intragastrically administered once a day. After 21 days, MCT caused pulmonary hypertension, right ventricular hypertrophy, and pulmonary vascular remodeling and significantly reduced the BMPR2 expression in lungs and pulmonary arteries. Fluoxetine dose-dependently inhibited MCT-induced pulmonary arterial hypertension and effectively protected the lungs against MCT-induced endothelial apoptosis, reduction in the number of alveolar sacs, and loss of the pulmonary small vessels. Fluoxetine reversed the expression of cyclic guanosine 3',5'-monophosphate-dependent kinase І, BMPR2, phospho-Smad1, β-catenin, and reduced the expression of caspase 3 in rat lungs. These findings suggest that BMPR2 is probably involved in the protective effect of fluoxetine against MCT-induced endothelial apoptosis in rats.
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 | 0.001 |
| 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".