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

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 · 2026

Read 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 (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13327853.txt.

Description

Xi Ye and a large team study links between smoking and early ovarian failure in a 2026 article. Premature ovarian insufficiency ends fertility early, and tobacco smoke holds many compounds that could harm ovaries. The team joined literature mining with a clinical study of Chinese patients who had infrequent periods between May 2020 and May 2025.

Mining singled out six smoke components tied to ovarian harm, including nicotine, benzo[a]pyrene, and acrolein, and network mapping placed them near core protein targets. In the clinic arm, urine cotinine levels were measured and compared between women with and without the condition under standard criteria. The authors caution that network rank alone cannot prove a leading biological role.

Catalog record

CREATORXi 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
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE111484
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13327853

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