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Peripherally Restricted Dual Cannabinoid Receptor Agonist Modifies Mitochondrial Signaling and Inhibits Atrial Electrical Remodeling in a Tachypaced <i>Ex Vivo</i> Rat Model

2020· article· en· W3017083762 on OpenAlexaffabout
Danielle I. Lee, Michael Murninkas, Sigal Elyagon, Yoram Etzion, H. D. Anderson

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAtrial fibrillationInternal medicineMedicineRefractory periodCardiologyEffective refractory periodAtrium (architecture)ElectrophysiologyNerve conduction velocityDronedaroneEndocrinologyChemistryAmiodarone

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) leads to rate‐dependent changes, which progressively increase the risk for recurrence and persistence of the arrhythmia (collectively defined as atrial remodelling). Atrial effective refractory period (AERP) shortening and conduction velocity prolongation are hallmarks of atrial remodelling markedly promoting AF substrate. The molecular mechanisms underlying atrial remodelling are not fully elucidated and therapeutic strategies to reduce AF burden by preventing atrial remodelling are not yet available. Cannabinoid (CB) receptor ligands exert cardioprotective effects. We hypothesized that CB13, a peripherally restricted dual CB receptor agonist with limited brain penetration, would reduce atrial remodelling. Sprague Dawley (SD) rat hearts were excised and hung on a Langendorff set‐up, and supplemented with CB13 (1μM) or without (control) (paced and non‐paced). Coronary pressure of 60–80 mmHg was maintained. Electrophysiological (EP) parameters were measured by placing a mini‐hook platinum‐iridium quadrupole electrode on the right atrium (RA) for pacing and atrial recording (CB13 n=8; control n=8). RA were tachypaced for 90 min at double diastolic threshold and a cycle length of 5 ms higher than failed 1:1 atrial capture. S1S2 stimulation protocol was used to measure AERP, defined as the longest interval with failed 1:1 capture. The effects of CB13 on atrial refractoriness and AF substrate were assessed by analysis of high resolution electrogram recordings and protein expression via western blot. Post‐tachypacing EP recordings showed reduced AERP in control compared to pre‐tachypacing (54.38±3.05 vs. 44.75 ± 3.67 ms; p<0.01). AERP post‐tachypacing in CB13‐treated hearts remained unchanged compared to pre‐tachypacing (55.25±3.46 vs. 55.50±2.67 ms; ns). Thus, CB13‐treatment resulted in preservation of AERP compared to control (103.6 ± 9.2 vs. 82.3 ± 4.4 % of baseline; p<0.05). Protein expression of PGC1α was significantly increased by CB13 compared to controls (paced and non‐paced). Upregulation of mitochondrial biogenesis may be related to increased phosphorylation of AMPKα at residue threonine 172 (compared to total AMPKα, p=0.12, CB13 vs. control paced). Furthermore, gap junction connexin 43 was significantly downregulated in paced controls vs. non‐paced controls, while CB13 remained upregulated (no significance vs. controls). CB13 exposure during tachypacing prevents AERP reduction and gap junction downregulation probably through mechanisms involving mitochondrial biogenesis. Thus, by inhibiting atrial remodeling CB13 and the subsequent activation of CB receptors may be a viable treatment strategy for AF. Support or Funding Information This work was supported by studentships from the Canadian Institutes of Health Research and Mitacs (D.L.)

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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.

Opus teacher head0.017
GPT teacher head0.243
Teacher spread0.226 · 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
Published2020
Admission routes2
Has abstractyes

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