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Abstract 11919: AMP-Activated Protein Kinase Response to Metabolic Stress: A Novel Determinant of Atrial Fibrillation Progression

2014· article· en· W1484596286 on OpenAlexaff
Masafumi Harada, Xiao Yan Qi, Artak Tadevosyan, Niels Voigt, Matthias Karck, Markus Kamler, Itsuo Kodama, Toyoaki Murohara, Dobromir Dobrev, Stanley Nattel

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsAMPKInternal medicineEndocrinologyProtein kinase AMedicineAMP-activated protein kinaseActivator (genetics)PhosphorylationContractilityBiologyCell biologyReceptor

Abstract

fetched live from OpenAlex

Introduction: Metabolic stress is observed in clinical and experimental atrial fibrillation (AF). Metabolic stress activates AMP-dependent protein kinase (AMPK) via phosphorylation; activated AMPK produces compensatory changes in the determinants of energy balance. Here, we examined AMPK responses in AF and their role in remodeling responses of atrial Ca 2+ handling and contractility. Methods: AMPK and Cav1.2 protein were quantified by immunoblot. Ca 2+ transients (CaTs, Indo1 AM), cell shortening (CS, videometry), L-type Ca 2+ ( I Ca,L ) and NCX ( I NCX ) current (patch clamp) were measured in dog left atrial (LA) cardiomyocytes (CMs) under metabolic stress due to glycolysis inhibition (GI, 10 mM 2-deoxyglucose/10 mM pyruvate). Results: In dogs with 1-wk electrically-maintained AF (n=4), the phosphorylation ratio (PhR) of AMPK (indicating activation) increased in LA by 101%* (*p<0.05) vs. controls (n=4). Metabolic stress due to GI in 2 Hz paced LA CMs increased AMPK PhR by 103%* vs. quiescent CMs. In 2 Hz paced cells, the AMPK inhibitor CompC (10 μM) decreased LA CaT and CS by 58%* and 51%* vs. control, but the AMPK activator AICAR (1 mM) restored CaT and CS by 75%* and 53%* vs. CompC alone, supporting AMPK-dependent regulation. CompC decreased I Ca,L and I Ca,L -triggered CaT by 46%* and 37%*. AMPKα protein coimmunoprecipitated with Ca v 1.2 protein, suggesting that AMPK is physically coupled with the I Ca,L channel α-subunit. CompC also decreased SR Ca 2+ content by 53%* vs. control ( I NCX simultaneously measured with caffeine-induced CaT). AMPK PhR was greater by 61%* in paroxysmal AF (pAF, n=7) patient atria vs. sinus rhythm controls (n=10), whereas AMPK PhR was decreased in chronic AF (cAF) patients (n=9) by 27%*, suggesting that the level of AMPK activation may govern the chronicization of AF. Conclusions: AF activates AMPK. Under AF-induced metabolic stress, AMPK activation limits AF-promoting abnormalities in LA I Ca,L , Ca 2+ handling and contractility. pAF patients have AMPK activation, protecting them against chronicization, whereas cAF patients have reduced AMPK activation. Thus, the response of AMPK to AF-related metabolic stress might be a crucial determinant of AF chronicization, and AMPK-manipulation may be a novel target to prevent AF progression.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.296
Teacher spread0.279 · 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 designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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