Data mining and clinical observational study on the association between smoking and premature ovarian insufficiency - Summary - MDSpire

Data mining and clinical observational study on the association between smoking and premature ovarian insufficiency

  • By

  • Xi Ye

  • Cui Cui

  • Chen Jiang

  • Zhen Wang

  • Xiling Han

  • Zhongna Liu

  • Shiyu Long

  • Jimin Wu

  • Yanting Liu

  • Hengye Xu

  • Chengyu Hu

  • Yanyan Tu

  • Mengyun Ma

  • Xuanxuan Hong

  • Mengsha Wang

  • Liehong Wang

  • June 19, 2026

  • 0 min

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Objective:

To investigate the association between smoking and premature ovarian insufficiency (POI).

Approach:
    Key Findings:
    • Six cigarette smoke components (nicotine, benzo[a]pyrene, NNK, acrolein, 1,3-butadiene, and cotinine) were associated with POI-related ovarian dysfunction.
    • Higher urinary cotinine levels correlated with increased POI prevalence and elevated odds risk, particularly above the median.
    • Cotinine showed weak positive associations with follicle-stimulating hormone (FSH) and luteinizing hormone (LH), but no significant initial association with anti-Müllerian hormone (AMH).
    • Logistic regression indicated moderate predictive value for POI, persisting after multivariable adjustment.
    Interpretation:

    Urinary cotinine levels correlated with POI risk and ovarian reserve markers.

    Limitations:
    • The study is observational and exploratory, raising hypotheses rather than establishing causality.
    • Findings may be influenced by the artificial inflation of network centrality due to more extensively studied compounds.
    Conclusion:

    The results indicate the need for further research regarding smoking and ovarian dysfunction.

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