A novel combination of Chinese medicines to treat advanced cancers and lymphomas in rats
Post-publication record
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Bibliographic record
Abstract
Abstract Background Chinese medicine often targets more than one system and as such comprises several compounds, often in non-purified form, with treatments therefore consisting of whole extracts of herbs rather than isolated compounds. The additive and synergistic effects of the phytochemicals in OMN54, a novel mixture of extracts from three commonly used Chinese medicine components; Ganoderma lucidum , Salvia miltiorrhiza and Scutellaria barbata , were previously demonstrated to have potent anti-cancer activity. This study aims to test whether this heterogeneous, multifunctional and multitargeted agent has an acceptable toxicity profile. Methods We conducted preliminary and formal preclinical tolerability determination of OMN54 in Sprague-Dawley rats. In the preliminary study rats were given OMN54 by oral feeding daily for 14 days at doses of 1000 mg/kg, 1750 mg/kg, 2500 mg/kg or 3000 mg/kg per day. A subsequent daily dosing (x 28, 60, 120 or 180) formal toxicology study was conducted in male and female Sprague-Dawley rats at a dose of single dose of 2000 mg/kg/day. Results Significant body weight loss was noted in one of the rats treated at 3000 mg/kg/day, with decline beginning study day 11. This animal experienced mild GI toxicity in the form of diarrhoea. Gross observation indicated kidney damage (pale kidneys) in both this group and in one rat treated at 2500 mg/kg/day. For the later studies, no body weight loss was noted over the course of the study. Blood counts and chemistry were not substantially altered following administration of OMN54, nor were there any findings on histological assessment of organs. Conclusion OMN54 was found to be well tolerated in rat models. OMN54 did not cause any microscopic, anatomic or pathologic changes in exposed animals at the concentrations and under the conditions employed in this study.
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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 | 0.001 | 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) | 0.002 | 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".