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Record W4389209465 · doi:10.1101/2023.11.29.569031

Perivascular Excitation Tunnelling: a Novel and Preventable Cause of Cardiac Reperfusion Arrhythmias

2023· preprint· en· W4389209465 on OpenAlexafffund
Enaam Chleilat, Teo Puig Walz, Bo Han, T. Alexander Quinn, Peter Köhl, Callum M. Zgierski‐Johnston

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsDalhousie University
FundersMedizinische Fakultät der Albert-Ludwigs-Universität FreiburgDeutsche Gesellschaft für Kardiologie-Herz und Kreislaufforschung.Canadian Institutes of Health ResearchHeart and Stroke Foundation of CanadaAlbert-Ludwigs-Universität FreiburgDeutsche Forschungsgemeinschaft
KeywordsCardiologyIschemiaPerfusionAcidosisMedicineElectrophysiologyInternal medicineHypoxia (environmental)Optical mappingAnesthesiaChemistry

Abstract

fetched live from OpenAlex

Abstract Background Reperfusion after myocardial ischaemia can lead to deadly arrhythmias, in part due to heterogeneities in electrophysiology (EP) across affected tissue. There is a need to understand the spatiotemporal dynamics of ischaemia-reperfusion arrhythmias (IRA), so that reperfusion strategies to prevent them can be found. Methods Langendorff-perfused rabbit isolated hearts were loaded with a voltage-sensitive dye. Epifluorescence imaging was used to track action potential propagation across the cardiac surface. The heart was simultaneously perfused ‘globally’ ( via the aorta) and ‘locally’ ( via cannulation of a single coronary artery) with an oxygenated physiological saline solution. Local perfusion was subsequently switched to and from solutions that mimic aspects of ischaemia (acidosis, hypoxia, hyperkalaemia, or a simulated ischaemia solution combining all three) or to no-flow. Subsequently, different reperfusion strategies were tested to reduce IRA re-entries. The most successful strategy for preventing re-entry was tested in Langendorff-perfused isolated pig hearts to assess the clinical relevance of the observed mechanism and treatment strategy. Results Upon sudden reperfusion of the cannulated coronary artery in rabbit hearts we observed a preferential recovery of electrical excitability along the vessel’s main branch (‘perivascular excitation tunnelling’, PVET). This resulted in re-entry in roughly half of the hearts. Hyperkalaemia and hypoxia, but not acidosis, were sufficient to lead to conduction block, PVET, and re-entry, with both PVET and re-entry more frequently observed after hyperkalaemia than hypoxia. PVET was also present in pigs and PVET-based re-entries were successfully prevented in rabbit and pig hearts by two-step reperfusion, first of the distal majority of the previously ischaemic region, and then of the remaining tissue from the proximal point. With this strategy, any PVET that developed in the distal tissue was blocked by the still inexcitable proximal tissue. Upon reperfusion of the proximal tissue, there was a reduced path length for PVET. As a consequence, the associated excitable gap was too short for re-entrant excitation. Conclusions We observed a novel arrhythmia mechanism upon coronary reperfusion (PVET), which suggests that preferential recovery of myocardial excitability along the reperfused vessel is an important mechanism underlying IRA formation. PVET-induced re-entry reliably occurred in both rabbit and pig hearts and could be prevented by two-step reperfusion. Graphical Abstract

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.021
GPT teacher head0.241
Teacher spread0.220 · 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 designSimulation or modeling
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 routes2
Has abstractyes

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