Role of <i>I</i><sub>K</sub> and <i>I</i><sub>f</sub> in the pacemaker mechanisms of sino-atrial node myocytes
Bibliographic record
Abstract
The role of I(K) (delayed rectifier current) and I(f) (hyperpolarization-activated current) in dominant and subsidiary pacemaker ranges was studied in single myocytes isolated from the guinea pig sino-atrial node by means of a perforated patch-clamp technique. In the dominant pacemaker range (approx. -55 to -40 mV), I(K) tails are present whereas I(f) is not activated. In the subsidiary pacemaker range (approx. -80 to -70 mV), I(f) is large whereas I(K) is minimal and reversing. The threshold for I(f) activation is more negative at short time intervals. Larger or longer depolarizations to -40 mV and +20 mV deactivate I(f) more and are followed by faster reactivation of I(f). Steps of 200-300 ms duration to +20 mV completely deactivate I(f). The slope conductance decreases during depolarizations at -40 and +20 mV and quickly re-increases after the steps. The I(f) deactivation range is between -70 and +10 mV, with a V(1/2) of -35 mV. Depolarizations from -80 to +20 mV at a rate of 120/min limit the subsequent I(f) reactivation owing to the short diastole. We conclude that I(K) plays a predominant role in the dominant pacemaker range and I(f) does so in the subsidiary pacemaker range. Either pacemaker mechanism is used by sino-atrial node cells depending on the diastolic potential range. A previous depolarization markedly increases the amplitude and rate of I(f) reactivation.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".