The role of low molecular weight hyaluronan in the pathogenesis of monocrotaline‐induced pulmonary hypertension
Bibliographic record
Abstract
Extracellular matrix degradation products, such as low molecular weight hyaluronan (LMW HA), have been shown to stimulate the innate inflammatory response and could play a fundamental role in the pathogenesis of pulmonary hypertension (PH). The role of LMW HA in experimental, monocrotaline (MCT)‐induced PH was investigated in Fisher 344 rats. Twenty‐four days after MCT injection (0.7mg/kg), right ventricular systolic pressure was markedly elevated in MCT treated animals (62.9 ± 5.6 mmHg) when compared to no MCT controls (24.3 ± 0.8 mmHg). Quantification of total lung HA by ELISA revealed increased HA in MCT treated animals when compared to controls (248+/−71 versus 154+/−17 ng HA/mg dry lung). This data was supported by histological analysis of lung sections, which show elevated levels of HA in association with regions of vascular occlusion as well as with inflammatory cell infiltrates. Molecular weight analysis of lung‐derived HA by agarose gel electropheresis illustrated that MCT‐induced PH is associated with an accumulation of LMW HA (>5×10 5 Da) and a corresponding decrease in high molecular weight HA (∼4×10 6 Da). Gene expression analysis of the hyaluronan synthase (HAS) genes revealed that MCT‐induced PH corresponds with increased expression of HAS1 and HAS2 (1.67+/−0.14 and 3.37+/−0.55 fold increases vs. normal, respectively) and a decrease in HAS3 expression (4.86+/−0.16 fold decrease vs. normal).
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".