Beyond the Spice Rack: The Therapeutic Benefits of Curcumin for Male Reproductive Health
Bibliographic record
Abstract
Turmeric, derived from the rhizome of Curcuma longa, is a widely utilized spice. It is characterized by a warm and slightly bitter flavor, and is often employed to enhance the taste and color of curry powders. The active compound, curcumin has been the subject of extensive research due to its anti-inflammatory, antioxidant, and potential anticancer properties, among others. This review explores the therapeutic potential of curcumin, the active ingredient in turmeric, for male reproductive health, going beyond its culinary uses. The articles used for this narrative review were obtained from some search engines including National Library of Medicine (PubMed), Science Alert, Google Scholar, Excerta Medical database (EMBASE) and Cumulated Index to Nursing and Allied Health Literature (CINAHL). It summarizes the current scientific evidence regarding curcumin's effects on various aspects of male fertility, including sperm quality. It also highlights curcumin's antioxidant, anti-inflammatory, anti-apoptotic properties and how these contribute to its potential benefits in addressing male reproductive issues. Evidence from the overview of existing literature suggests the potential benefits of curcumin supplementation in alleviating male infertility. An avenue for future investigations into curcumin's role in maintaining and improving male reproductive health in human is widely open.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".