Resting Ca<sup>2+</sup>influx does not contribute to anoxia-induced cell death in adult rat cardiac myocytes
Bibliographic record
Abstract
Calcium has been proposed as a primary influence on cell death during ischemic episodes in myocardial cells. One component of calcium entry into a cell is resting calcium influx. This basal movement of calcium is blocked by 100 micromol/L gadolinium chloride (GdCl3) in cardiac myocytes. Therefore, GdCl3 should be cardioprotective under anoxic conditions. To test this, cardiac myocytes isolated from adult male rats were subjected to anoxia (100% N2) in the presence or absence of 100 micromol/L GdCl3 in one of 2 ways. In the first method, cells were suspended in media and rendered anoxic for 0, 30, and 60 min, after which cell morphology and viability were scored. After 60 min of anoxia, rod-shaped cells accounted for 46% +/- 4% of total cells (viability 81%); 10 min of reoxygenation markedly reduced rod-shaped cells to 27% (viability 72%). GdCl3 in the medium did not protect the cells (anoxic rods 49%, reoxygenated rods 30%, viability 77%). In the second method, cells were attached to a laminin substrate, rendered anoxic, and then videotaped for up to 6 h. In this system, cells maintained their shape for some time after the onset of anoxia, and then began to 'die' (i.e., to take on either a rigor form or hypercontracted form) at a measurable rate. Time to onset of 'death' (t0), time to 50% and 100% 'death' (t50 and t100), and rate of 'death' were used to measure anoxic damage. Without GdCl3, cells on average began to die 115 +/- 32 min after the onset of anoxia (t0); they died at an average rate of 0.046 cells/min. t50 was achieved in 149 +/- 42 min, t100 in 183 +/- 54 min. Addition of 100 micromol/L GdCl3 did not affect any of these parameters. We concluded that GdCl3 was not cardioprotective for anoxic myocytes and that cell damage generated by anoxia could not be attributed to resting calcium influx.
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".