Cytoprotective effects of flavonoid glycosides from Viscum coloratum on ischemic myocardial injuries of rats and its mechanism
Bibliographic record
Abstract
Objective To investigate the protective effects of Viscum coloratum flavonoid glycosides(VCFG)against ischemic myocardial injuries in vivo of rats and to further investigate its regulatory effect on platelet activating factor(PAF).Methods The model of acute myocardial infarction rats was constructed by ligating left descending anterior branch of coronary artery.The change of myocardial infarct size(MIS)was determined to evaluate the protective effect of PAFBN 52021(10 mg/kg)and different doses of VCFG(15 and 75 mg/kg)on the myocardial ischemia of rats.Myocytes were isolated and fluorescent changes of the Fluo-3/AM-loaded cells were detected after 30 min of administration of different doses VCFG.The fluorescent intensities both before(FI0)and after(FI)the drug administration were recorded by a laser scanning confocal microscope to observe the blocking effect of VCFG on PAF-induced Ca2+ overload.Results Compared with control group,MIS was reduced by VCFG and BN 52021 and changed level of LDH,MDA,and activity of SOD in infarcted rats was recovered by VCFG or BN 52021.PAF(1×10-11 mol/L)significantly increased the intracellular free Ca2+ concentration([Ca2+]i).VCFG and BN 52021 had the inhibitory effect on PAF-induced Ca2+ overload in a dose-dependent manner.ConclusionVCFG has protective effects on myocardial ischemia of rats and the protective effects are likely mediated by the blocking of PAF-induced Ca2+ overload in cardiac myocytes.PAF Blockers may be candidate drugs for preventing cardiac injuries during ischemia/reperfusion of rats.
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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) | 0.000 | 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 | 0.000 |
| 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".