Right Ventricular Stiffening and Function Are Associated With Main Pulmonary Artery Remodeling in a Rat Model of Pulmonary Hypertension
Bibliographic record
Abstract
BACKGROUND: Coupling between right ventricular (RV) function and the pulmonary vasculature determines outcomes in pulmonary arterial (PA) hypertension. The mechanics of the main PA (mPA) is an important but understudied determinant of RV-PA coupling. To investigate the histology and mechanics of PA in relationship to RV remodeling, mechanics, hemodynamics, and coupling in experimental PA hypertension. METHODS: In a sugen-hypoxia rat model of PA hypertension, RV hemodynamics were assessed by conductance catheters. Active tension-strain curves were generated using echocardiography. mPA and RV free wall were harvested to determine their macrostructure and microstructure, composition, and mechanical properties. Comprehensive multivariate analyses elucidated relationships between PA and RV mechanics, structure, and coupling. RESULTS: Pulmonary hypertensive mPAs developed fibrosis relative to healthy controls, as did RVs, which also hypertrophied, with reorientation of muscle fibers toward a trilayer architecture reminiscent of normal left ventricular architecture. Increased glycosaminoglycan deposition and increased collagen-to-elastin ratio in PA, and increased collagen, as well as hypertrophy and reorganization of myofibers in RV, led to increased stiffness. This increase in stiffness was more pronounced in the longitudinal direction in the high- and low-strain regime for PA and RV, respectively, causing increased mechanical anisotropy. mPA stiffening correlated significantly with RV tissue mechanical remodeling and reduced systolic performance, cardiac output, and RV-PA coupling. CONCLUSIONS: Compositional, structural, and mechanical changes in mPA correlate with adverse RV remodeling, mechanics, function, and coupling in PA hypertension. Therefore, increasing mechanical compliance of the large PAs may be an important and novel therapeutic strategy for mitigating RV failure.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".