Dietary Ascorbic Acid-Mediated Augmentation of Antitumor Activity and Protection Against Toxicities Induced by Cis-Diamminedichloroplatinum-(II) in Daltons Lymphoma-Bearing Mice -
Bibliographic record
Abstract
Cis-Diamminedichloroplatinum-(II) (CDDP) commonly known as cisplatin is considered as a major anticancer drug against a broad spectrum of malignancies. This study evaluates the modulatory effect of dietary ascorbic acid (AA) on the therapeutic efficacy of CDDP against murine ascites Daltons lymphoma (DL) and some tissue toxicities in tumor-bearing mice. As compared to CDDP alone, the combination treatment with ascorbic acid (AA) plus CDDP showed better therapeutic efficacy against murine ascites Daltons lymphoma. DL cells treated with CDDP showed the appearance of apoptotic features involving fragmentation of nucleus into discrete masses and plasma membrane blebbing. As compared to CDDP alone, combination treatment caused an increase in the number of apoptotic DL cells. Reduced glutathione (GSH) level was noted to decrease in DL cells while it increased in kidney after combination treatment. Blood haemoglobin (Hb), red blood cells (RBCs) and white blood cells (eosinophils, basophils and lymphocytes) were also decreased after CDDP treatment while overall betterment in hematological parameters was noted after combination treatment. The analysis of renal function tests (RFT) and liver function tests (LFT) suggest an improvement against CDDP-induced liver and kidney toxicities after combination treatment. The decrease in GSH levels particularly in DL cells and an increase in kidney and liver after combination treatment may have a role in the antitumor activity and decrease in CDDP-induced toxicity in the tumor-bearing host. Improvement in the LFT, RFT and hematological toxicities after combination treatment may have a beneficial effect in the improved survival of tumor-bearing mice.
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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) | 0.000 | 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 | 0.000 |
| 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 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".