Protective Effect of aqueous bark extract of Terminalia Arjuna against Alcohol-Induced Hepato and Nephrotoxicity in Rats
Bibliographic record
Abstract
Present study is an attempt to forward a locally available aqueous bark powder extract of Terminalia arjuna (AETA) as potential therapeutic agent against alcohol-induced oxidative/nitrosative stress mediated hepato and nephrotoxicity in rats. Alcohol administration significantly raised the plasma concentrations of nitrogenous compounds and increased activities of alcoholic marker enzymes, gamma glutamyl transferase (γGT), plasma transaminases (AST and ALT), alkaline phosphatase (ALP) and lactate dehydrogenase (LDH). Besides, we found abnormalities in the levels of plasma lipids, lipoproteins in alcohol administered rats along with increased lipid peroxidation and nitric oxide (NOx) levels. Moreover, significantly decreased hepatic and kidney antioxidant enzymes, superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and the content of reduced glutathione (GSH) in alcohol administered rats were noticed. Administration of AETA to alcoholic rats significantly brought these alterations in plasma to normal and also significantly reduced the levels of lipid peroxidation and restored the enzymic and nonenzymatic antioxidants in liver. These findings were further confirmed by hepatic and kidney histopathological studies. Co-administration of alcohol along with AETA offers protective effect against alcohol-induced stress and these protective effects are due to its multiple actions of its bioactive compounds.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".