Electrophysiological evidence for a gradient of G protein‐gated K<sup>+</sup> current in adult mouse atria
Bibliographic record
Abstract
Whole cell current and voltage clamp techniques were used to examine the properties of acetylcholine-sensitive K+ current (IKACh) in myocytes from adult mouse atrium. Superfusion of a maximal dose of carbachol (CCh; 10 microM) caused a substantial increase in K+ current in all myocytes examined. The current-voltage (I-V) relation of maximally activated IKACh exhibited weak inward rectification. Consequently, CCh increased the amount of depolarising current necessary to evoke action potentials (APs), and APs evoked in CCh had significantly shorter durations than control APs (P<0.05). The effects of CCh on K+ current and on AP properties were blocked by the muscarinic receptor antagonist methoctramine (1 microM). ACh (10 microM) activated a K+ current with identical properties to that activated by CCh, as did the A1 receptor agonist adenosine (100 microM). Right atrial myocytes had significantly more IKACh than left atrial myocytes (P<0.05), regardless of whether IKACh was evoked by superfusion of muscarinic or A1 receptor agonists. IKACh current density was significantly higher in SA node myocytes than either right or left atrial myocytes. These data identify a gradient of IKACh current density across the supraventricular structures of mouse heart. This gradient, combined with the heterogeneous distribution of parasympathetic innervation of the atria, may contribute to the proarrhythmic ability of vagal nerve stimulation to augment dispersion of atrial refractoriness.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".