SR Ca<sup>2+</sup> refilling upon depletion and SR Ca<sup>2+</sup> uptake rates during development in rabbit ventricular myocytes
Bibliographic record
Abstract
While it has been reported that a sparse sarcoplasmic reticulum (SR) and a low SR Ca(2+) pump density exist at birth, we and others have recently shown that significant amounts of Ca(2+) are stored in the neonatal rabbit heart SR. Here we try to determine developmental changes in SR Ca(2+) loading mechanisms and Ca(2+) pump efficacy in rabbit ventricular myocytes. SR Ca(2+) loading (load(SR)) and k(0.5) (Ca(2+) concentration at half-maximal SR Ca(2+) uptake) were higher and lower, respectively, in younger age groups. Inhibition of the L-type calcium current (I(Ca)) with 15 microM nifedipine dramatically reduced load(SR) in older but not in younger age groups. In contrast, subsequent inhibition of the Na(+)/Ca(2+) exchanger (NCX) with 10 microM KB-R7943 strongly reduced load(SR) in the younger but not the older age groups. Accordingly, the time integral of the inward NCX current (tail I(NCX)) elicited on repolarization was highly sensitive to nifedipine in the older groups and sensitive to KB-R7943 in the younger groups. Interestingly, slow SR loading took place in the presence of both nifedipine and KB-R7943 in all age groups, although it was less prominent in the older groups. We conclude that the SR loading capacity at the earliest postnatal stages is at least as large as that of adult myocytes. However, reverse-mode NCX plays a prominent role in SR Ca(2+) loading at early postnatal stages while I(Ca) is the main source of SR Ca(2+) loading at late postnatal and adult stages.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".