Increased vulnerability to inducible atrial fibrillation caused by partial cellular uncoupling with heptanol
Bibliographic record
Abstract
We hypothesized that partial cellular uncoupling produced by low concentrations of heptanol increases the vulnerability to inducible atrial fibrillation (AF). The epicardial surface of 12 isolated-perfused canine left atria was optically mapped before and after 1-50 microM heptanol infusion. At baseline, no sustained (>30 s) AF could be induced in any of the 12 tissues. However, after 2 microM heptanol infusion, sustained AF was induced in 9 of 12 tissues (P < 0.001). Heptanol >5 microM caused loss of 1:1 capture during rapid pacing, causing no AF to be induced. AF was initiated by conduction block across the fiber leading to reentry, which broke up after one to two rotations into two to four independent wavelets that sustained the AF. Heptanol at 2 microM had no effect on the cellular action potential duration restitution or on the maximal velocity rate over time of the upstroke. The effects of heptanol were reversible. We conclude that partial cellular uncoupling by heptanol without changing atrial active membrane properties promotes wavebreak, reentry, and AF during rapid pacing.
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 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".