绝经年限及其与中年女性生物衰老相关的代谢组学特征：一项基于人群的研究。
Years since menopause and its metabolomic signature with biological aging in women at midlife: a population-based study.
作者信息
Xie Bo, Li Meiling, Wang Qi, Fu Chunying, Wang Xiaoyi, Zhu Dongshan
机构信息
Department of Epidemiology, School of Public Health. Cheeloo College of Medicine, Shandong University, Jinan, China.
Center for Clinical Epidemiology and Evidence-Based Medicine, Shandong University, Jinan, China.
出版信息
NPJ Aging. 2025 Jul 1;11(1):58. doi: 10.1038/s41514-025-00249-6.
This study analyzed UK Biobank data from 46,463 postmenopausal women to investigate metabolic changes linked to years since menopause (YSM) and their impact on aging biomarkers. Elastic net regression identified 115 YSM-associated metabolites, forming a metabolic signature strongly correlated with YSM (r = 0.30, P < 0.001). Each standard deviation increase in this metabolic signature was associated with decreased odds of long telomere length (0.94, 0.92-0.96), increased odds of high allostatic load (1.53, 1.50-1.56) and high PhenoAge (2.30, 2.17-2.44). Mediation analysis indicated that the metabolic signature explained 43.5% of the association between YSM and allostatic load, 9.09% between YSM and telomere length, and 89.3% between YSM and PhenoAge. These findings reveal how menopause-related metabolic shifts drive biological aging, highlighting potential intervention targets for postmenopausal health.
本研究分析了英国生物银行中46463名绝经后女性的数据，以调查与绝经年限（YSM）相关的代谢变化及其对衰老生物标志物的影响。弹性网络回归识别出115种与YSM相关的代谢物，形成了一种与YSM高度相关的代谢特征（r = 0.30，P < 0.001）。这种代谢特征每增加一个标准差，长端粒长度的几率降低（0.94，0.92 - 0.96），高应激负荷（1.53，1.50 - 1.56）和高PhenoAge（2.30，2.17 - 2.44）的几率增加。中介分析表明，代谢特征解释了YSM与应激负荷之间关联的43.5%，YSM与端粒长度之间关联的9.09%，以及YSM与PhenoAge之间关联的89.3%。这些发现揭示了绝经相关的代谢变化如何驱动生物衰老，突出了绝经后健康的潜在干预靶点。
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