Ding · Human reproduction update 2020 · narrative review · n=?

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) and their effects on the ovary.

Cited 397 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Narrative review of observational epidemiologic studies and preclinical experimental models.

PubMed 32476019 · doi:10.1093/humupd/dmaa018 · record verified 2026-08-26

What was done

This comprehensive literature review synthesized human epidemiologic and toxicological laboratory studies from PubMed investigating the association between perfluoroalkyl and polyfluoroalkyl substances (PFAS) exposure and ovarian function, including endpoints such as menarche timing, menstrual regularity, ovarian reserve, steroid hormones, and menopause.

What was found

The abstract reports no quantitative effect estimates or pooled statistics. Clinical evidence confirms PFAS penetrate the blood-follicle barrier into follicular fluid. Epidemiological literature (predominantly cross-sectional) associates higher PFAS levels with later menarche, irregular menstrual cycles, longer cycle duration, earlier onset of menopause, and reduced levels of estrogens and androgens, though some studies observed no association. Experimental models demonstrated disrupted folliculogenesis and steroidogenesis via mechanisms including peroxisome proliferator-activated receptor (PPAR) activation, impaired oocyte-granulosa gap junction communication, thyroid disruption, steroidogenic enzyme antagonism, and hypothalamic kisspeptin inhibition.

Why it matters

This review consolidates multi-level evidence indicating that widespread environmental PFAS chemicals penetrate human ovarian tissue and may compromise female endocrine and reproductive lifespan.

Limits

The review presents narrative synthesis rather than a quantitative meta-analysis, reporting no pooled numbers. The human evidence base relies primarily on cross-sectional designs, preventing causal inference and leaving open possibilities of reverse causality. Additionally, existing experimental models often fail to capture real-world low-dose multi-chemical mixture exposures.

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