Abstract 9929: Epigenome-Wide-Association-Study Characterizes DNA Methylation Changes Associated With Lung and Right Ventricle Dysfunction in Pulmonary Hypertension
Bibliographic record
Abstract
Background: Pulmonary arterial hypertension (PAH) is a lethal vasculopathy associated with pulmonary arteries remodeling and right ventricle (RV) dysfunction. Epigenetic dysregulation, including altered DNA methylation (DNAm), promotes PAH. However, the DNAm changes associated with PAH remain unexplored in human PAH RV and lungs. We conducted an exploratory study using human lung and RV samples to characterize the DNA methylome and transcriptomic changes associated with PAH. Methods/Results: We observed that PAH is associated with substantial changes in the DNAm landscape in both organs. We identified 88 identical differentially methylated probe (DMP) in both PAH Lungs and RV. Functionally, we observed that 65, and 76 of those DMP correlate with myocardial fibrosis and adverse pulmonary vascular remodeling, respectively. Then we clustered DMP onto functional differentially methylated region (DMR) and reported that 41% and 11.5% of the genes carrying a DMR are differentially expressed in PAH RV and lungs, respectively. Gene ontology analysis suggests that both impaired DNAm (DNA methylome) and genes expression (RNA sequencing) observed in PAH regulate biological functions related to inflammation, fibrosis, cell proliferation and vascular remodeling. Impaired DNAm landscape observed in PAH RV and lung is associated with the disease severity and contributes to 4.1% and 2.7% of the whole transcriptomic reprograming associated with PAH development in RV and lungs samples, respectively. Despite the modest overlap between DNAm and transcriptomic changes, we observed that DNAm affects genes and molecular pathways involved in PAH development. Conclusion: Although exploratory, our study is the first to characterize the DNAm and transcriptomic change associated with PAH in human RV and lung. Our data suggest that impaired DNAm landscape might contribute to the disease development/severity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".