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Abstract 10909: A Novel ATP Citrate Lyase-Dependent Metabolic-Transcriptional Axis in Pulmonary Arterial Hypertension

2022· article· en· W4380793714 on OpenAlexaff
Sébastien Bonnet, Charlotte Romanet, Yann Grobs, Sarah‐Eve Lemay, Alice Bourgeois, Sandra Breuils‐Bonnet, Sandra Martineau, Mabrouka Salem, François Potus, Steeve Provencher, Olivier Boucherat

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsQuebec - Clinical Research Organization in Cancer
Fundersnot available
KeywordsATP citrate lyaseWarburg effectDownregulation and upregulationHistone H3PKM2Histone H4Cancer researchAcetylationApoptosisHistoneMedicineBiologyGlycolysisPyruvate kinaseInternal medicineBiochemistryCitrate synthaseMetabolismEnzymeGene

Abstract

fetched live from OpenAlex

INTRODUCTION: Pulmonary arterial hypertension (PAH) is characterized by enhanced pulmonary artery smooth muscle (PASMC) proliferation and suppressed apoptosis. In cancer, the sustainability of this phenotype required metabolic adaptation (Warburg effect / lipid synthesis) influencing chromatin structure and gene expression. By producing Acetyl coA the ATP Citrate Lyase (ACLY) has emerged as a key player in cancer by favoring Warburg effect, lipid synthesis and histone acetylation. We hypothesized that ACLY is upregulated in PAH and supports PAH-PASMC proliferation and contributes to PA remodelling. METHODS/RESULTS: The implication of ACLY in PAH was demonstrated by 1) an upregulation (n=10 p<0.05) of its expression, activation (P-ACLY) and nuclear localization in human PAH lungs, PASMCs and experimental PAH models (sugen/hypoxia, Su/Hx rats and mice) compared to control (immunoblot/immunofluorescence); 2) mice with ACLY deleted in SMCs did not develop Su/Hx-induced PA remodelling and PAH (n=20 p<0.05). Mechanistically, ACLY inhibition (siRNA/BMS) decreased proliferation (Ki67/PCNA) and increased apoptosis (AnnexinV / Survivin) in PAH-PASMCs (n=8 p<0.05). These effects were associated with the inhibition of multiple genes linked to cell cycle, metabolism and lipid synthesis (RNAseq p<0.05 n=6) leading to a decrease (p<0.05) in Warburg effect (LDH, PKM2, P-PDH) and an increase in OCR/ECAR (seahorse). These findings were coupled with an inhibition of the histone acetyl-transferase P300 and histones H3/H4 acetylation. Motif enrichment analyses of transcriptomic datasets identified NFY, NFAT and FOXM1 (all involved in PAH and P300 regulated) as putative transcription factors implicated in ACLY-dependent gene regulation in PAH. This will be confirmed by CHIPseq/ATACseq. In vivo, effects of ACLY inhibitors (BMS/ETC1002) were assessed in rats with Su/Hx-PAH. Both decreased PA pressure, resistance, wall thickness and improved right ventricular functions (n=20; p<0.05) (Echo/catheterization). CONCLUSION: We uncovered a novel ACLY-dependent metabolic-transcriptional axis explaining how PASMCs proliferate and survive in PAH. ACLY inhibition is an attractive therapeutic strategy to improve PAH as ETC1002 is clinically advanced.

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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0080.002

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 head0.025
GPT teacher head0.238
Teacher spread0.213 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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