Data mining and clinical observational study on the association between smoking and premature ovarian insufficiency - Takeaways - 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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  • 1

    This study investigates the association between smoking and premature ovarian insufficiency (POI) using data mining techniques.

  • 2

    Six cigarette smoke components were identified as associated with POI-related ovarian dysfunction, including nicotine and cotinine.

  • 3

    Higher urinary cotinine levels correlated with increased prevalence of POI and showed associations with hormonal markers FSH and LH.

  • 4

    GO and KEGG analyses suggested that smoking compounds may disrupt granulosa cell proliferation and affect oocyte maturation pathways.

  • 5

    The study highlights potential biological pathways linking smoking to POI but does not establish definitive causality.

Original Source(s)

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

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