Abstract 15564: Transcriptional Profiling Unveils New Molecular Subgroups of Adaptive and Maladaptive Right Ventricular Remodeling in Pulmonary Hypertension
Bibliographic record
Abstract
The right ventricle (RV) function plays a crucial role in the prognosis and functional outcome of PAH (Pulmonary Arterial Hypertension) patients. However, RV remodeling and its underlying mechanisms in PAH, and the molecular phenotype of RV in different disease conditions are poorly understood. Therefore, we designed this study to deeply investigate molecular changes underlying right ventricular remodeling and dysfunction in PAH. To this aim, we generated RNA-seq data from 40 patients' RV tissues, clinically classified in adaptive versus maladaptive RV hypertrophy. Using an unsupervised clustering-based analysis, we identified “early” and “late” subgroups in both diseased RV states, associated with patients’ hemodynamic profiles. We then demonstrated that the compensated RV is characterized by an upregulation of cell cycle-associated genes and mitochondrial respiration, whereas excessive levels of extracellular matrix components were central in the decompensation phase. However, dysregulation of fatty acid β-oxidation characterized the early decompensation phase. Furthermore, a comparative analysis from 30 RV samples of monocrotaline (MCT)-induced rat model largely confirmed the stage-specific molecular phenotypes, along with subgroups identification. Finally, we assessed the circulating levels of several dysregulated proteins in two independent cohorts of PAH patients and introduced a panel of five ECM-related proteins that had a significant alteration in patients with compensated vs. decompensated RV in both cohorts. Among those, NID1, C1QTNF1, and CRTAC1 demonstrated higher importance in predicting the development of maladaptive RV hypertrophy in both cohorts, while the correlation of their expression with cardiac functions confirmed their potential biomarker capacity in the prognosis of PAH-associated RV hypertrophy and failure. In conclusion, this comprehensive transcriptome study revealed new subgroups of human RV hypertrophy beyond the clinical measurements, while combination with proteome analysis proposed a panel of potential PAH biomarkers related to patients' RV function. Furthermore, our comparative analysis of two species supports the relevance of current animal models to explore new targets.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".