Vitamin E Alleviates Diethylhexyl Phthalate-Induced Haemato-logical Changes and Splenic Oxidative Injury in Male Sprague-Dawley Rats
Bibliographic record
Abstract
Di-2-ethylhexyl phthalate (DEHP) is a ubiquitous environmental toxicant with high exposure potential to man mainly through leaching from water and foods plastics packages. Exposure to DEHP is associated with cancers, cardiovascular diseases, and splenic toxicity. In the present study, the effect of alpha tocopherol (α- tocopherol) on the DEHP- induced alteration in hematology and oxidative injury in the spleen of male Sprague Dawley rats was investigated. Animals were exposed daily for six weeks to 5 mg/kg bd.wt DEHP and 10 mg/kg bd.wt Vitamin E either alone or in combination. Control rats were given olive oil throughout the duration of the experiment. Organ weight indices and hematology parameters including packed cell volume (PCV), white blood cells (WBC), lymphocytes and neutrophils were determined in test and control rats. In addition, malondialdehyde, superoxide dismustase (SOD), catalase and glutathione-S-transferase (GST) activities were determined in the spleen. Histology of the spleen was also evaluated. Hematoxicity of DHEP was characterized by decreased PCV, WBC counts and neutrophil, while eosinophil was markedly elevated. DHEP administration resulted in oxidative stress that was manifested by elevated MDA and GST coupled with decreases in SOD and catalase activities. The spleen sections from DEHP-treated rats showed congestion and hyperplasia. However, Vitamin E modulated the hematological parameters and alleviated oxidative changes caused by DEHP exposure. Vitamin E also prevented DHEP associated lesions in the spleen. Therefore, Vitamin E could be useful in controlling hematotoxicty and splenic oxidative injury caused by DEHP intoxication
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 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 | 0.000 |
| 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".