Loss of K<sup>+</sup>Currents in Heart Failure Is Accentuated in KChIP2 Deficient Mice
Bibliographic record
Abstract
INTRODUCTION: KV 4 together with KV Channel-Interacting Protein 2 (KChIP2) mediate the fast recovering transient outward potassium current (I(to,f)) in the heart. KChIP2 is downregulated in human heart failure (HF), potentially underlying the loss of I(to,f). We investigated remodeling associated with HF hypothesizing that KChIP2 plays a central role in the modulation of outward K(+) currents in HF. METHODS AND RESULTS: HF was induced by aortic banding in wild-type (WT) and KChIP2 deficient (KChIP2(-/-)) mice, evaluated by echocardiography. Action potentials were measured by floating microelectrodes in intact hearts. Ventricular cardiomyocytes were isolated and whole-cell currents were recorded by patch clamp. Left ventricular action potentials in KChIP2(-/-) mice were prolonged in a rate dependent manner, consistent with patch-clamp data showing loss of a fast recovering outward K(+) current and upregulation of the slow recovering I(to,s) and I(Kur). HF decreased all outward K(+) currents in WT mice and did not change the relative contribution of I(to,f) in WT mice. Compared to WT HF, KChIP2(-/-) HF had a larger reduction of K(+) -current density. However, the relative APD prolongation caused by HF was shorter for KChIP2(-/-) compared with WT, and the APs of the 2 HF mouse types were indistinguishable. CONCLUSION: I(to,f) is just one of many K(+) currents being downregulated in murine HF. The downregulation of repolarizing currents in HF is accentuated in KChIP2(-/-) mice. However, the prolongation of APs associated with HF is less in KChIP2(-/-) compared to WT, suggesting other compensatory mechanism(s) in the KChIP2(-/-) mouse.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".