Impairment of hypoxic pulmonary vasoconstriction in mice lacking the voltage‐gated potassium channel Kv1.5
Bibliographic record
Abstract
ABSTRACT Hypoxic pulmonary vasoconstriction (HPV) is initiated by the inhibition of several 4‐aminopyridine (4‐AP)‐sensitive, voltage‐gated, K+ channels (Kv). Several O 2 ‐sensitive candidate channels (Kv1.2, Kv1.5, Kv2.1, and Kv3.1b) have been proposed, based on similarities between their characteristics in expression systems and the properties of the O 2 ‐sensitive K+ current (I K ) in pulmonary artery smooth muscle cells (PASMCs). We used gene targeting to delete Kv1.5 in mice by creating a SWAP mouse that is functionally a Kv1.5 knockout. We hypothesized that SWAP mice would display impaired HPV. The Kv1.5 α‐subunits present in the endothelium and PASMCs of wild‐type mice were absent in the lungs of SWAP mice, whereas expression of other channels Kv (1.1, 1.2, 2.1, 3.1, 4.3), Kir 3.1, Kir 6.1, and BK Ca was unaltered. In isolated lungs and resistance PA rings, HPV was reduced significantly in SWAP versus wild‐type mice. Consistent with this finding, PASMCs from SWAP PAs were slightly depolarized and lacked I Kv1.5 , a 4‐AP and hypoxia‐sensitive component of IK that activated between ‐50 mV and ‐30 mV. We conclude that a K+ channel containing Kv1.5 α‐subunits is an important effector of HPV in mice.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".