Humans with Pulmonary Arterial Hypertension display a global hypermethylation signature that worsens in patients who have a mutation in the gene encoding the methylation eraser, Tet Methylcytosine Dioxygenase 2 (TET2)
Bibliographic record
Abstract
Abstract Epigenetic changes in gene expression due to DNA methylation are important physiologic and pathologic regulators of pulmonary vascular structure and function. Genetic or acquired alterations in DNA methylation or demethylation have been associated with the development and progression of pulmonary arterial hypertension (PAH). However, the DNA methylome signature of human PAH and its consequences on the PAH transcriptome are unknown. Reduced Representation Bisulfite Sequencing (RRBS) was used for epigenome-wide mapping of DNA methylation in whole peripheral blood of 10 healthy people and 20 age/sex matched PAH patients. RNA deep sequencing was performed in parallel on the same samples. We used whole-exome sequencing to identify two PAH cohorts, one free of mutations in the genes know to be associated with PAH patients and the second had mutations of TET2 , a newly identified PAH gene that encodes an enzyme that mediates DNA demethylation. We report an increased in global DNA methylation in the blood of PAH patients compared to healthy controls. Patients carrying the TET2 mutation had a further increase in DNA compared to mutation free PAH patients. We identified 1,069 unique Differentially Methylated Regions (DMR) in the blood of PAH patients with a TET2 mutation. When organized into functional groups, we observed an enrichment of genes involved in ‘immune’, ‘cell differentiation’, or ‘metabolic’. When we compared these genes to publicly available data from an independent study on blood from PAH patients compared to controls, we identified 218 mRNA transcripts that align with our data (e.g. are hypermethylated blood genes that are downregulated in PAH blood), and functional analysis of these genes reveals common enriched terms in ‘immune’, ‘cell differentiation’, or ‘metabolic’ function. We characterized DNA methylation changes associated with TET2 mutation in the blood of patients with PAH compared to controls. This data demonstrates that epigenetic regulation of genes by methylation is involved in altered immune function, cell differentiation and metabolism in PAH.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".