Polyphenol Rich Nutritional Supplement Derived from the West African <em>Sorghum Bicolor</em> Leaf Sheaths Has Evidence-Based Efficacy and Health Promoting Effects
Bibliographic record
Abstract
Across different cultures around the globe, human beings have historically depended largely on medicinal plants for managing diseases that have hitherto threatened their optimal health, survival, and longevity. Evidently, the health-derived benefits of medicinal plants can be strongly attributed to the presence of secondary metabolites, particularly polyphenols. The health-promoting effects of Sorghum bicolor supplement Jobelyn&reg; (SBSJ) &mdash;a unique supplement derived from the leaf sheaths of a West African variety of Sorghum bicolor (L.) Moench&mdash;have also been ascribed to its high levels of polyphenols. This review seeks to gather and synthesize findings from various experimental and clinical studies on the health benefits of SBSJ in arthritis, cancer, chronic viral infections, stroke, anaemia, and aging. SBSJ has been reported to contain potent bioactive polyphenolic compounds with polyvalent biological activities, including antioxidant, anti-inflammatory, immunomodulatory, chemopreventive, and neuroprotective activities. Moreover, the probable benefits of SBSJ in chronic viral infections (e.g., HIV/AIDS and COVID-19) have been attributed to its potent anti-inflammatory and immunomodulatory activities. As this supplement is increasingly becoming one of the fastest-selling herbal medicines in Nigeria, there is a need for more robust studies (including clinical trials) in order to replicate and validate the prior insights gleaned from experimental studies.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".