Abstract 1516: Role of Oxidative Stress in Atrial Tachycardia Remodelling
Bibliographic record
Abstract
Atrial tachycardia remodeling (ATR) promotes atrial fibrillation (AF). Oxidant stress (OxS) occurs in atria of AF patients and antioxidants may be beneficial in AF. This study used a previously validated in vitro paced canine cardiomyocyte model to assess the potential role of OxS in ATR. Cultured canine atrial cardiomyocytes were paced at 1 or 3 Hz (P1, P3) for 24 hrs. I CaL was recorded with whole cell voltage clamp. Single cell superoxide production was assessed by dihydroethidium fluorescence (DHEF) imaging. ATR (3 Hz pacing x 24 hrs) decreased I CaL (Fig. A ) and induced OxS (Fig. B ). Short term induction of OxS (H 2 O 2 100 μM x 10 mins) increased I CaL (Fig. C ) and enhanced Ca 2+ loading (Indo-1 AM). 24-Hr H 2 O 2 100 μ M increased DHEF in P1 cells by 250%* (*P<0.05) and mimicked ATR, decreasing I CaL by 51%* (Fig. C ). H 2 O 2 -mediated DHEF changes were suppressed by inhibiting calmodulin (W7) or CaMKII (KN93). H 2 O 2 -induced I CaL suppression at 1 Hz was prevented by: decreasing Ca 2+ i loading by I CaL blockade (nimodipine) or Ca 2+ chelation (BAPTA-AM); W7 or KN93; antioxidants (2-MPG or N-acetylcysteine, NAC); or suppression of free radical generation via NADPH-oxidase (apocynin). 2-MPG, NAC, and apocynin prevented I CaL downregulation by 3-Hz pacing and W7, KN93 and apocynin abolished ATR-induced DHEF increases. H 2 O 2 mimics ATR by causing Ca 2+ i loading and CaMKII activation coupled to NADPH-oxidase stimulation. ATR-induced I CaL -downregulation is mediated in part by OxS generation. These findings provide insights into the pathways by which OxS contributes to ATR and present a mechanistic framework for understanding the effects of antioxidant interventions in AF.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.011 | 0.002 |
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.
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".