HEAVY METAL TOXICITY VERSUS TRACE ELEMENT PROTECTION IN WOMEN'S REPRODUCTIVE HEALTH - A SYSTEMATIC REVIEW.
Bibliographic record
Abstract
BACKGROUND: Environmental exposures are increasingly linked to reproductive dysfunctions such as endometriosis, ovarian insufficiency, and polycystic ovary syndrome (PCOS). Through endocrine disruption, oxidative stress, and epigenetic pathways, heavy metals (such as cadmium [Cd], lead [Pb], mercury [Hg], and arsenic [As]) and trace elements (such as zinc [Zn], copper [Cu], and selenium [Se]) may affect female fertility. Nevertheless, there are still few integrated assessments that address their combined consequences. The goal is to perform a critical evaluation and systematic analysis of epidemiological data about the link between reproductive health issues in women of reproductive age and exposure to heavy metals and trace elements. METHODS: A comprehensive literature search was carried out in PubMed, Scopus, Google Scholar, and Web of Science to locate articles published between 2010 and 2024. Included were observational human studies that looked at correlations between metal exposure and the reproductive results of females. The study's quality was assessed using the Newcastle-Ottawa Scale (NOS), and the review process adhered to PRISMA guidelines. FINDINGS: A total of twenty-three studies were included in the review: eleven case-control studies, eight cross-sectional studies, three cohort studies, and one analytical study. Cd, Pb, As, Hg, Cu, and Zn were the most frequently evaluated elements; these were usually detected in biological samples such blood, serum, or follicular fluid. While low Zn and Se levels were linked to endometrial diseases and a reduced ovarian reserve, elevated levels of Cd, Pb, and As were linked to an increased risk of PCOS and endometriosis. Inflammation and endocrine dysregulation were inversely correlated with protective trace elements, especially zinc and selenium. 17 studies had a high-quality rating (NOS score ≥7). CONCLUSIONS: One important and controllable risk factor for the reproductive health of women is exposure to hazardous metals. It seems that preserving reproductive function depends on striking a balance between harmful and necessary components. To elucidate dose-response connections, synergistic effects, and possible therapeutic options, further prospective and mechanistic research is required.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".