Metformin Protects Against Persistent Atrial Fibrillation in an Equine Model
Bibliographic record
Abstract
BACKGROUND: Horses are one of the few animals that spontaneously develop atrial fibrillation (AF), making them a powerful model for studying AF mechanisms and treatment effects. Despite the initial effectiveness of treatment in horses and humans, AF-induced atrial remodeling compromises its long-term success. Observational studies have suggested that metformin may reduce the risk of AF, but its effects on progressive AF-induced atrial remodeling have yet to be evaluated in a high-fidelity large animal model. METHODS: Here, we used a longitudinal horse model of tachypacing-induced self-sustained AF to characterize the electrical, molecular, and metabolic atrial changes over 4 months of disease, with and without metformin treatment (30 mg/kg orally, twice daily; initiated before AF induction, N=24 horses). Electrophysiological and multiomic approaches were combined with histology, echocardiography, biochemical, and mitochondrial analyses to evaluate disease progression and treatment response. RESULTS: The horse model replicated critical aspects of AF-induced atrial remodeling observed in Humans, including electrical and structural changes. Despite upregulation of metabolic genes and proteins in AF, no significant ultrastructural mitochondrial changes were detected. Metformin plasma trough levels confirmed stable therapeutic exposure. Metformin-treated horses were protected against early AF stabilization and sustained a less complex AF substrate in the right atrium after 4 months of disease. These protective effects were associated with increased right atrial activity of the metabolic regulator, AMPK (AMP-activated protein kinase), changes in metabolic pathways, and modulation of ion-channel gene expression. CONCLUSIONS: Metformin treatment conferred protection against early AF stabilization and selectively attenuated right atrial substrate complexity in a translationally relevant preclinical model. These findings support metformin as a lead molecule for AF prevention, warranting further mechanistic and clinical studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".