Liang Yuhang, Ou Jie, Fu Jing, Wang Yijing, Li Yanping, Li Jinchen, Yi Yan
Reproductive Medicine Center, Xiangya Hospital, Central South University, Changsha, China.
Bioinformatics Center, Furong Laboratory, National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.
BJOG. 2025 Apr;132(5):625-637. doi: 10.1111/1471-0528.18052. Epub 2024 Dec 27.
To explore the association between smoking, genetic susceptibility and early menopause (EM) and clarify the potential mechanisms underlying this relationship.
An observational and Transcriptome-wide association analysis (TWAS) study.
UK Biobank and public summary statistics.
139 869 women with full baseline and menopause data, and no gynaecological surgery history.
Adjusted modified Poisson regression models were developed to determine the smoking and genetic risk effects on EM. TWAS was used to identify gene expression between smoking and EM, with Mendelian randomisation (MR) to infer causality. Enrichment analysis explored regulatory networks of transcription factors, microRNAs and potential therapeutic targets. Small molecule drugs were predicted using drug-gene interaction analysis.
EM prevalence and common gene expression patterns.
Women with over 30 pack-years of smoking had about 1.5 times higher EM risk, with RRs of 1.39 (95%CI, 1.23-1.56), 1.45 (1.33-1.59) and 1.45 (1.36-1.55) in the low, intermediate and high genetic risk groups. TWAS identified hub genes such as IMMP2L, BMPR2 and HMGN1. MR confirmed daily cigarette consumption as a causal factor in early menopause. Several potential therapeutic targets (e.g., SP600125, INCB18424 and ruxolitinib) were identified.
Smoking reduction significantly lowered the risk of EM. Hub genes and therapeutic targets identified provided new avenues for mitigating harmful effects of smoking.
探讨吸烟、遗传易感性与早发性绝经(EM)之间的关联,并阐明这种关系背后的潜在机制。
一项观察性和全转录组关联分析(TWAS)研究。
英国生物银行和公开汇总统计数据。
139869名具有完整基线和绝经数据且无妇科手术史的女性。
建立调整后的改良泊松回归模型,以确定吸烟和遗传风险对早发性绝经的影响。采用全转录组关联分析来识别吸烟与早发性绝经之间的基因表达,并通过孟德尔随机化(MR)来推断因果关系。富集分析探索转录因子、微小RNA和潜在治疗靶点的调控网络。使用药物-基因相互作用分析预测小分子药物。
早发性绝经患病率和常见基因表达模式。
吸烟超过30包年的女性早发性绝经风险高出约1.5倍,在低、中、高遗传风险组中的风险比分别为1.39(95%CI,1.23 - 1.56)、1.45(1.33 - 1.59)和1.45(1.36 - 1.55)。全转录组关联分析确定了IMMP2L、BMPR2和HMGN1等关键基因。孟德尔随机化证实每日吸烟量是早发性绝经的一个因果因素。确定了几个潜在的治疗靶点(如SP600125、INCB18424和鲁索替尼)。
减少吸烟显著降低了早发性绝经的风险。确定的关键基因和治疗靶点为减轻吸烟的有害影响提供了新途径。