Role of zinc oxide nanoparticles in alleviating hepatic fibrosis and nephrotoxicity induced by thioacetamide in rats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present research studied the influence of zinc oxide nanoparticles (ZnO-NPs; 5, 7.5, and 10 mg/kg, i.p.) on the liver and kidney injuries motivated by thioacetamide (TAA; 100 mg/kg, i.p.). Each treatment was carried out 3 times per week for 8 weeks. ZnO-NPs relieved the decrease of hepatic or renal reduced glutathione (GSH), catalase (CAT), and superoxide dismutase (SOD) induced by TAA. Moreover, ZnO-NPs lowered tissue malondialdehyde (MDA, an indicator for lipid peroxidation). TAA treatment led to a significant increase in plasma inflammatory markers (TNF-α, IL-6), liver enzymes (gamma-glutamyltransferase (GGT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and kidney function parameters (creatinine, urea, uric acid). However, these parameters were reduced after treatment with ZnO-NPs. In addition, the hepatic fibrosis markers, hydroxyproline level, and α-smooth muscle actin immunopositive stain were lowered by ZnO-NPs. The protective effect of ZnO-NPs in respect to biochemical changes was also confirmed by histopathological and immunohistochemistry studies in the liver and kidney sections. Our results suggested that ZnO-NPs may attenuate TAA toxicity via suppression of oxidative stress.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it