7-Chloro-4-(phenylselanyl) quinoline reduces renal oxidative stress induced by oxaliplatin in mice
Bibliographic record
Abstract
The object of this study was to evaluate the relationship between oxidative damage induced by oxaliplatin (OXA) and the therapeutic potential of 7-chloro-4-(phenylselanyl) quinoline (4-PSQ) in kidney of mice. Mice received OXA (10 mg/kg) or vehicle intraperitoneally (days 0 and 2). Oral administration of 4-PSQ (1 mg/kg) or vehicle was performed on days 2 to 14. On day 15 the animals were euthanized and the kidneys and blood were collected. The effect of OXA and (or) 4-PSQ on urea, thiobarbituric acid reactive species, nonprotein thiol (NPSH), and protein carbonyl (PC) levels were investigated. Moreover, renal superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione reductase (GR), glutathione S-transferase (GST), δ-aminolevulinic acid dehydratase (δ-ALA-D), and Na + ,K + ATPase activities were evaluated. Our findings revealed an increase on urea levels and significant renal oxidative damage in OXA-induced mice. OXA exposure increased SOD, GPx, and GST activities and caused a reduction on NPSH levels and CAT and GR activities. Na + ,K + ATPase and δ-ALA-D activities were reduced by OXA. 4-PSQ decreased plasmatic urea levels and renal oxidative damage. SOD, GPx, CAT, GR, and Na + ,K + ATPase activities were restored by 4-PSQ. 4-PSQ may be a good prototype for the treatment of OXA-induced renal injury.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".