Menopause Accelerates Biological Aging in Liver, Kidneys and Metabolism
A 177,000-woman study finds the menopausal transition adds over a year of biological age — with liver aging hit hardest.
Summary
A large two-cohort study of over 177,000 women found that menopause and the transition leading up to it significantly accelerate biological aging across multiple organ systems. Using the Klemera-Doubal method to calculate biological age from clinical biomarkers, researchers found that women undergoing the menopausal transition aged roughly 1.3 to 2.6 biological years more than women who remained pre-menopausal over the same period. Liver biological age showed the strongest and most consistent associations with menopausal factors. Early menopause (before age 40) was linked to the greatest acceleration. Reproductive history — including age at first live birth and number of live births — modified these effects, suggesting that a woman's full reproductive life shapes how menopause impacts her biological aging trajectory.
Detailed Summary
Menopause is far more than a reproductive milestone — it appears to be a pivotal inflection point in women's biological aging trajectory. This study, published in BMC Medicine, is among the largest and most comprehensive examinations of how menopausal status, the menopausal transition process, and age at menopause relate to accelerated biological aging across multiple organ systems simultaneously. By drawing on two independent large-scale cohorts — the China Multi-Ethnic Cohort (CMEC, n=37,244) and the UK Biobank (UKB, n=140,479) — the authors were able to test findings across distinct ethnic, geographic, and healthcare contexts, substantially strengthening confidence in the results.
Biological ages were calculated using the Klemera-Doubal Method (KDM), a validated composite biomarker approach that integrates clinical laboratory values and anthropometric measurements into a single biological age estimate. For CMEC, 15 biomarkers were used (including SBP, HbA1c, liver enzymes, renal markers, lipids, and pulmonary function), while 18 biomarkers were used for UKB. These were further organized into four organ-specific biological age scores — cardiopulmonary, metabolic, liver, and kidney — enabling analysis of which organ systems are most affected by menopausal changes. Critically, the study went beyond cross-sectional comparisons by employing longitudinal 'change-to-change' models in sub-cohorts with repeat data (CMEC: n=3,441; UKB: n=1,826), directly measuring how biological age changes as women transition through menopause.
In cross-sectional analyses, compared to pre-menopausal women, those who were peri-menopausal, post-menopausal, or had undergone oophorectomy or hysterectomy all showed significantly greater biological age acceleration across comprehensive, liver, metabolic, and kidney systems. The longitudinal change-to-change models — which control for baseline status and reduce confounding — confirmed these findings robustly: women who transitioned from pre- to post-menopause during the study period showed an increase in comprehensive biological age of β=1.33 years (95% CI: 0.89–1.76) in CMEC and β=2.60 years (95% CI: 1.91–3.30) in UKB, compared to women who remained pre-menopausal. Liver biological age showed the most pronounced and consistent acceleration across all menopausal groups and models, pointing to the liver as a particularly vulnerable organ during hormonal transition.
Age at menopause showed a clear dose-response relationship in the UKB dataset: women with menopause before age 40 (premature menopause) showed β=0.69 years of additional biological age acceleration (95% CI: 0.39–0.98), and those with menopause between 40–44 years showed β=0.24 years (95% CI: 0.09–0.40), compared to those with menopause at 50–54 years. Surgical menopause through oophorectomy was also associated with accelerated aging, consistent with abrupt estrogen withdrawal. Reproductive history factors — specifically younger age at first live birth and higher number of live births — emerged as significant modifiers of the menopause–aging relationship, though the mechanisms remain to be fully elucidated.
The findings carry important implications for both public health and clinical practice. The menopausal transition period — not just post-menopause — appears to be when biological aging accelerates most, suggesting it is a critical intervention window. Women with early menopause are at disproportionate risk. The liver-specific aging signal is particularly notable given the liver's central roles in lipid metabolism, glucose regulation, and detoxification, all of which are influenced by estrogen. Clinicians monitoring menopausal women should consider tracking liver-related biomarkers alongside traditional cardiovascular and bone health markers. The role of hormone replacement therapy and other interventions during perimenopause merits further investigation in this context.
Key Findings
- Women undergoing the menopausal transition showed 1.33 additional biological years of aging in CMEC (95% CI: 0.89–1.76) and 2.60 years in UKB (95% CI: 1.91–3.30) versus women remaining pre-menopausal, in longitudinal change-to-change models
- Liver biological age showed the strongest and most consistent acceleration across all menopausal groups and both cohorts, more so than kidney, metabolic, or cardiopulmonary aging
- Premature menopause (before age 40) was associated with β=0.69 years greater biological age acceleration compared to menopause at 50–54 years (95% CI: 0.39–0.98) in the UKB
- Menopause between ages 40–44 was associated with β=0.24 years of additional biological age acceleration versus menopause at 50–54 years (95% CI: 0.09–0.40)
- Post-menopausal women, as well as those who had undergone oophorectomy or hysterectomy, all showed significantly greater biological age acceleration than pre-menopausal women in cross-sectional analyses across liver, metabolic, and kidney systems
- Reproductive history factors — particularly age at first live birth and number of live births — significantly modified the association between menopausal factors and biological aging
- The study included 37,244 women from the CMEC and 140,479 from the UK Biobank, making it one of the largest multi-cohort investigations of menopause and organ-specific biological aging
Methodology
This two-cohort cross-sectional and longitudinal study used KDM-based biological age calculated from 15 (CMEC) and 18 (UKB) clinical biomarkers, organized into comprehensive and organ-specific (cardiopulmonary, metabolic, liver, kidney) biological age scores. Cross-sectional multiple linear regression compared menopausal status groups; longitudinal 'change-to-change' models in sub-cohorts (CMEC n=3,441; UKB n=1,826 with repeat data) assessed biological age change during the menopausal transition, controlling for baseline biological age and confounders. Stratified analyses examined modification by reproductive history variables including parity, age at menarche, and contraceptive/HRT use.
Study Limitations
The longitudinal sub-cohorts were substantially smaller than the full cohorts (CMEC: 3,441; UKB: 1,826), limiting statistical power for some organ-specific longitudinal analyses. The study relied on self-reported menopausal status and age at menopause, introducing potential recall bias, and hormonal assays were not available to objectively confirm menopausal staging. The authors note that causal inference remains limited given the observational design, and confounding by unmeasured factors such as diet quality, physical activity, and medication use cannot be fully excluded.
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