Preventive effects of North American Ginseng (<i>Panax quinquefolius</i>) on Diabetic Retinopathy and Cardiomyopathy
Bibliographic record
Abstract
Ginseng (Araliaceae) has multiple pharmacological actions because of its diverse phytochemical constituents. The aims of the present study are to evaluate the preventive effects of North American ginseng on diabetic retinopathy and cardiomyopathy and to delineate the underlying mechanisms of such effects. Models of both type 1 (C57BL/6 mice with streptozotocin-induced diabetes) and type 2 diabetes (db/db mice) and age-matched and sex-matched controls were examined. Alcoholic ginseng root (200 mg/kg body weight, daily oral gavage) extract was administered to groups of both type 1 and type 2 diabetic mice for 2 or 4 months. Dysmetabolic state in the diabetic mice was significantly improved by ginseng treatment. In both the heart and retina of diabetic animals, ginseng treatment significantly prevented oxidative stress and diabetes-induced upregulations of extracellular matrix proteins and vasoactive factors. Ginseng treatment in the diabetic animals resulted in enhancement of stroke volume, ejection fraction, cardiac output, and left ventricle pressure during systole and diastole and diminution of stroke work. In addition, mRNA expressions of atrial natriuretic factor and brain natriuretic factor (molecular markers for cardiac hypertrophy) were significantly diminished in ginseng-treated diabetic mice. These data indicate that North American ginseng prevents the diabetes-induced retinal and cardiac biochemical and functional changes probably through inhibition of oxidative stress.
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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".