The Sphingosine-1-phosphate Receptor Agonist FTY720 Increases Heart Rate Variability In Isolated Murine Ischemic Heart Model
Bibliographic record
Abstract
Despite considerable improvements in the management of hypertension, only half of adults with hypertension have their blood pressure under control.Uncontrolled hypertension may contribute to the development of left ventricular hypertrophy-induced myocardial ischemia.Accumulating evidence also suggests that hypertension may lead to lower heart rate variability (HRV), which is associated with an increased risk of cardiovascular disease.This forms the basis for the hypothesis that interventions aiming at raising HRV and reducing ischemia-induced injury in hypertensive patients, especially after AMI, may reduce the risk of cardiac events and mortality.In experiments reported here, we investigated the effects of the sphingosine-1-phosphate receptor agonist FTY720 on HRV in isolated, denervated murine ischaemic hearts.Our results demonstrated the presence of one major concentration of power centred on the ultra low frequency bands (ULF) which accounted for more than 99.9% of the total power (TP).TP and ULF decreased by 98% and 98.5% during ischemia respectively whilst these parameters increased by 1074% and 1073% during ischemia + 25 nFTY720 respectively (n=8, p<0.001).The Poincaré plot of the ischemia + 25 nM FTY720 condition exhibits greater dispersion of points than that of the control and ischemia conditions.The reconstructed ellipses had larger SD2 in the ischemia + 25 nM FTY720 condition than in the control and ischemia conditions (n=8, p<0.001).These data provide the first evidence that FTY720 may increase HRV, especially after myocardial ischemia and may represent a therapeutic approach for the treatment and prevention of coronary artery disease.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".