Bibliographic record
Abstract
How oxygen is sensed by the heart and what mechanisms mediate its sensing remain poorly understood. As recent reports show that low PO2 levels are detected by the cardiomyocytes in a few seconds, the rapid and short applications of low levels of oxygen (acute hypoxia), which avoid multiple effects of chronic hypoxia, may be used to probe the oxygen-sensing pathway of the heart. Here, we explored the oxygen-sensing pathway, focusing primarily on cellular surface membrane proteins that were first exposed to low PO2. Such studies suggest that acute hypoxia primarily targets the cardiac calcium channels, where either the channel itself or moieties closely associated with it, for instance heme-oxygenase-2 (HO-2) interacting through kinase phosphorylation, signal the α-subunit of the channel to the altered levels of PO2. Amino acids 1572–1651, the CaMKII phosphorylation sites (S1487 and S1545), CaM-binding sites (I1624 and Q1625), and Ser1928 of the carboxyl tail of the α-subunit appear to be critical residues that sense oxygen. Future studies on HO-2 knockout mice or CRISPR/Cas9 gene-edited human-induced pluripotent stem-cell-derived cardiomyocytes that reduce CaM-binding affinity are likely to provide deeper insights into the O2-sensing mechanisms.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".