Low frequency electromagnetic field decreases ischemia–reperfusion injury of human cardiomyocytes and supports their metabolic function
Bibliographic record
Abstract
Electromagnetic field at extremely low frequencies plays a significant role in the physiological function of human tissues and systems. It is shown that electromagnetic field inhibits production of reactive oxygen species which are involved in heart injury triggered by oxidative stress. We hypothesize that low frequency electromagnetic field protects function of cardiac cells from ischemia-reperfusion injury. Human cardiac myocytes, endothelial cells, and cardiac fibroblast underwent ischemia-reperfusion conditions in the presence or in the absence of low frequency electromagnetic field. LDH and MMP-2 activities (as markers of cell injury), and cell metabolic activity (by fluorescein diacetate staining) were measured to determine the protective role of low frequency electromagnetic field. Our data showed that short courses of low frequency electromagnetic field protect cardiac cells from cellular damage and preserve their metabolic activity during ischemia-reperfusion. This study demonstrates the possibility to use of low frequency electromagnetic field as strategy for the prevention or therapy of ischemia-reperfusion injury. Impact statement In our study, we showed that LF-EMF may be protective for heart during ischemia-reperfusion (I/R). Following is the short description of the main findings: (a) the response to the I/R injury was different for endothelial cells, fibroblasts, and cardiomyocytes; (b) I/R decreases MMP-2 activity in cardiac myocytes and fibroblasts;
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".