Counteraction of adriamycin-induced alterations in cardiac enzymes by Thespesia populnea leaf extract
Bibliographic record
Abstract
This study examined the ameliorative effect of Thespesia populnea leaf extract on the changes in ATPase and antioxidant enzyme activities in rat heart induced by the anthracycline adriamycin. Adriamycin is a potent broad-spectrum antitumor agent, but has adverse effects on the heart, resulting in cardiomyopathy and heart failure. Anthracyclines are suggested to render the cardiac tissue susceptible to free radical damage, and different parts of T. populnea have been shown to possess antioxidant activity. Thus, whether the action of adriamycin, if any, on the enzyme activities can be countered by T. populnea would be interesting to study. In the present investigation, male adult Wistar rats were divided into 10 groups of six rats each. Adriamycin (15mg/kg i.p. cumulative dose), T. populnea leaf extract (200 mg/kg and 400 mg/kg respectively), vitamin E (25mg/kg p.o.) and carvedilol (1mg/kg p.o.) were administered separately and in combination with adriamycin to the rats, and changes in ATPase, superoxide dismutase and catalase activities were determined in the heart tissue. Administration of adriamycin decreased the ATPase and antioxidant enzyme activities. Thespesia leaf extracts, vitamin E and carvedilol elevated the enzyme activities individually, and also reversed the effect of adriamycin to different degrees when administered along with it. The findings suggest that T. populnea leaf extracts recover the ATPase and antioxidant enzyme activities in the heart of rats from adriamycin stress. This attribute of the plant may be due to its ability to scavenge free radicals and lower the oxidative stress. The results provide preliminary pharmacological support for the use of T. populnea in preventing alterations in membrane homeostasis and conferring cardio-protection.
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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 | 0.001 | 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".