Ambroxol attenuates cisplatin-induced hepatotoxicity and nephrotoxicity via inhibition of p-JNK/p-ERK
Bibliographic record
Abstract
Hepatotoxicity and nephrotoxicity are important drawbacks of cisplatin. The objective of this study is to evaluate the ability of ambroxol in 2 different doses (35 and 70 mg/kg, i.p.) to protect liver and kidney from damage induced by a single dose of cisplatin (10 mg/kg, i.p.) in comparison with N-acetylcysteine (250 mg/kg, i.p.). Inflammatory, oxidative stress, and apoptotic biomarkers were investigated to show the influence of ambroxol on hepatotoxicity and nephrotoxicity. Ambroxol decreased the elevated activity of liver enzymes (aspartate aminotransferase and alanine aminotransferase) and kidney function tests (blood urea nitrogen and creatinine). Ambroxol mitigated cisplatin inflammatory damage by inhibition of tumor necrosis factor-α, interleukin-1β, and nuclear factor kappa-B and elevation of nuclear factor erythroid 2-related factor 2. Moreover, ambroxol inhibited oxidative damage indicated by reduction of malondialdehyde and replenished the store of reduced glutathione likely by upregulating glutathione reductase and superoxide dismutase. Elevation of phosphorylated c-Jun N-terminal kinases (p-JNK) and phosphorylated extracellular signal-regulated kinase (p-ERK) were attenuated by ambroxol associated with a decrease in the expression of caspase-3; these results were consistent with histopathological results. These results recommend ambroxol to be co-administered with cisplatin in cancer patients to ameliorate liver and kidney damage, and this was confirmed by MTT assay.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".