Extract of North American Ginseng (Panax Quinquefolius), Administered to Leukemic, Juvenile Mice Extends their Life Span
Bibliographic record
Abstract
In a recent study involving normal, juvenile mice, we showed that CVT-E002, a proprietary extract (Afexa Life Sciences, Inc.) of North American ginseng, Panax quinquefolius, significantly enhanced the absolute levels of cells acting at the first line of defense in tumor combat, i.e., natural killer (NK) cells. The present study evaluated the effect of CVT-E002, on life span when administered intraperitoneally to leukemic, infant/juvenile mice. The extract was administered to groups of mice daily for 14 days in several dosing groups up to 50mg/day from age 7 to 21 days. The tumor was administered intraperitoneally under sterile conditions, in a laminar flow hood at 7 days of age (0.5 x 10(6) leukemic cells), immediately preceding the first CVT-E002 injection for each dose group. The data revealed that CVT-E002 significantly extends the life of leukemic, young mice in a dose-specific manner, i.e., 20 mg/day was effective in extending life, while lower doses of 5, 10 mg as well as higher doses of 30, 40, 50 mg per day were completely ineffective. We have already shown that CVT-E002 significantly elevates NK cells in normal and leukemic, adult mice, as well as in normal, infant/juvenile mice, and we have also shown that CVT-E002 significantly extends the life span of leukemic, adult mice. The results of the present study did indeed show that (i) CVT-E002 extends the life span of leukemic, infant/juvenile mice, and (ii) that the dose of CVT-E002 is critical in achieving life span augmentation in these leukemic infant/juvenile mice.
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 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".