Iron Chelation and Antioxidant Properties of Withania somnifera(Ashwagandha) Restore Fertility in Men and Women
Bibliographic record
Abstract
Abstract: Withania somnifera (Ashwagandha) is one of the most renowned and revered medicinal plants in the Indian Ayurvedic system of medicine. Ashwagandha Rasayanas (tonics), capsules, tablets, and powdered herbs (churna) have been used for curing a wide variety of ailments, including reproductive problems, and for improving fertility in men and women as well as erectile dysfunction (ED) in men. Iron accumulation in reproductive organs is caused by excessive dietary intake of iron, dysregulation of iron transporters, chronic blood transfusions, and hemochromatosis. Iron overload produces oxidative stress and causes atrophy of ovaries and testes and hypogonadism, which leads to infertility in men and women. Emerging evidence from preclinical and clinical studies suggests that excessive iron-induced infertility results from dysfunction of the hypothalamic-pituitary-gonadal axis and consequently perturbs the secretion of sex hormones (GnRH, FSH, LH, estrogen, progesterone, and testosterone). The focus of this review is to summarize the pathophysiology of iron-overload toxicity of reproductive organs and the reversal of male/female infertility and libido with Ashwagandha. The bioactive ingredients of Ashwagandha appear to restore iron–overload infertility by acting on iron chelation and capturing iron free radicals (Fe+++) produced by the Fenton reaction. Many synthetic drugs have been tried for treating iron overload infertility, but the outcome has been inconsistent. Considering the high cost of these drugs, Ashwagandha may be a safer and more costeffective phytomedicine to cure iron-overload infertility and enhance libido in humans. Collectively, the iron chelation and antioxidant effects of Ashwagandha seem to reverse iron-overload infertility in men and women by improving testicular and ovarian functions.
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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) | 0.003 | 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".