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Abstract 17430: Targeting DNA Hypermethylation With Hypomethylating Drugs: Implications for Pulmonary Arterial Hypertension

2023· article· en· W4389957741 on OpenAlexaff
EL-Kabbout Reem, ANTONELLA ABI SLEIMAN, Mabrouka Salem, Sandra Breuils Bonnet, Alice Bourgeois, Sandra Martineau, Sarah‐Eve Lemay, Charlotte Romanet, Charlie Théberge, Olivier Boucherat, Steeve Provencher, Sébastien Bonnet, François Potus

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsBureau de Coopération InteruniversitaireMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineDNA methylationApoptosisCancer researchDNMT1Pulmonary arteryPharmacologyInternal medicineEndocrinologyBiologyGene expression

Abstract

fetched live from OpenAlex

Introduction: Pulmonary arterial hypertension (PAH) is a lethal vasculopathy characterized by sustained vasoconstriction and remodeling of pulmonary arteries. Excessive proliferation and reduced apoptosis of pulmonary artery smooth muscle cells (PASMCs) contribute to pulmonary artery remodeling, with limited efficacy of current pharmacotherapies. Increased DNA methylation (DNAm) has been implicated in pro-proliferative phenotypes and disease progression in cancer and cardiovascular diseases. Hypothesis: We hypothesized that increased DNAm contributes to the pro-survival phenotype of PAH-PASMCs and that targeting DNA methylation could improve PAH development. Methods and Results: Our study revealed a global increase of DNAm in remodeled pulmonary arteries of human PAH patients and three preclinical models (namely monocrotaline, sugen hypoxia, Fawn hooded rats, p<0.05, immunofluorescence [IF] 5mc/SMA). In vitro, PAH-PASMCs exhibited elevated DNAm levels (IF 5mc, p<0.05), increased expression of DNA methyltransferases (DNMT1, DNMT3a; Western blot [WB], p<0.05), and decreased expression of DNA demethylase (TET2; WB, p<0.05). Consequently, hypomethylating drug Zebularine demonstrated dose-dependent reductions in PAH-PASMC proliferation (WB for surviving, plk1, MCM2; IF ki67, p<0.05) and increased apoptosis (WB for Bax/BCL2; IF annexinV, p<0.05,). Transcriptomic and gene ontology analyses indicated that these effects likely involve the downregulation of biological processes related to the cell cycle and mitosis. In vivo treatment with Zebularine (10 mg/kg, 2 weeks, intraperitoneal injection) improved PAH hemodynamics (e.g., decreased RVSP, vascular resistances, p<0.05), decreased PASMC methylation (IF 5mc/SMA, p<0.05) and proliferation (IF ki67/SMA, p<0.05), and mitigated adverse pulmonary vascular remodeling in two rodent models of the disease (monocrotaline and sugen hypoxia). Statistics: unpaired t test (2 groups), ANOVA (> 2 groups). Conclusions: Our findings demonstrate an association between increased DNA methylation and PAH development. Targeting DNAm represents a potential therapeutic avenue for PAH, as evidenced by the beneficial effects of Zebularine in improving PAH-related phenotypes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.049
GPT teacher head0.308
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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