Toxicological evaluation of different solvent fractions of Waltheria indica linn. root in male wistar rats
Bibliographic record
Abstract
Waltheria indica Linn. root (WILR) is a multipurpose medicinal plant with abundance of phytochemical compounds. The optimal solvents for extraction of a particular bioactive compound depends not only on the yield of the compound but also on the toxic effect of the solvent used. Therefore, this study was designed to evaluate the toxic effects of hexane, dichloromethane and ethyl acetate solvent fractions of WILR in male Wistar rats. Three doses (200, 500, or 1000 μg/kg BW) of hexane, dichlorometh ane and ethyl acetate solvent fractions of WILR were used. Male Wistar rats (n=5) were administered with 200, 500, or 1000 μg/kg of hexane, dichloromethane, and ethyl acetate soluble extracts of WILR, while control received distilled water, daily for 15 days. The rats were thereafter sacrificed, blood samples were collected and serum separated. Haematological serum biochemical parameters were determined according to standard procedure. The result showed non-significant effect on relative organ weight and haematological parameters while the serum ALT was significantly increased by administration of hexane, dichloromethane, and ethyl acetate soluble extracts of WILR. Blood Urea Nitrogen was also increased significantly (p < 0.05) at 200 and 500 μg/kg of hexane and dichloromethane respectively. The ethyl acetate and hexane fraction also caused severe periportal cellular infiltration in the liver while the hexane fraction caused glomerular necrosis. The hexane, dichloromethane and ethyl acetate soluble extracts of (WILR) have adverse effect on the integrity liver and kidney. Hence, these extracts should be used with caution in patient with hepatic and renal impairment.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".