Emphysema Is—at the Most—Only a Mild Phenotype in the Sugen/Hypoxia Rat Model of Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Translational research is essential to develop strategies for the treatment of pulmonary arterial hypertension (PAH) using animal models which reproduce the severity, the progressive nature and resistance to treatment of human PAH, including severe arterial remodeling and progressive right ventricular (RV) failure. We read with interest the letter by Kojonazariov et al. who propose to have found “severe emphysema in the SU5416/Hypoxia (SuHx) rat model of pulmonary hypertension”. The authors report that Wistar-Kyoto rats exposed to the combination of VEGFR2 inhibition by SU5416 and chronic hypoxia had moderately increased RVSP and RV mass compared to normoxic untreated animals. They applied in vivo micro-computed tomography (CT) to demonstrate an increase in lung volume and decreased lung density, an unaltered amount of lung tissue, but an increased air-to-tissue ratio, and claim these findings were confirmed by histological analysis, including mean linear intercept as surrogate of emphysema. Indeed, SU5416 has been previously shown to induce emphysema in normoxia, but this required repetitive SU5416 dosing (3 times weekly over 3 weeks) and occurred more predominantly in rats younger than 4 weeks of age (Norbert Voelkel, personal communication). In addition, emphysema could be negated, at the cost of the development of severe angioproliferative hypertension, by concomitant exposure to hypoxia.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".