Linking menopause-related factors, history of depression, APOE ε4, and proxies of biological aging in the UK biobank cohort

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Arielle Crestol , Ann-Marie G. de Lange , Louise Schindler , Sivaniya Subramaniapillai , Stener Nerland , Hannah Oppenheimer , Lars T. Westlye , Ole A. Andreassen , Ingrid Agartz , Christian K. Tamnes , Claudia Barth
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Abstract

In a subset of females, postmenopausal status has been linked to accelerated aging and neurological decline. A complex interplay between reproductive-related factors, mental disorders, and genetics may influence brain function and accelerate the rate of aging in the postmenopausal phase. Using multiple regressions corrected for age, in this preregistered study we investigated the associations between menopause-related factors (i.e., menopausal status, menopause type, age at menopause, and reproductive span) and proxies of cellular aging (leukocyte telomere length, LTL) and brain aging (white and gray matter brain age gap, BAG) in 13,780 females from the UK Biobank (age range 39–82). We then determined how these proxies of aging were associated with each other, and evaluated the effects of menopause-related factors, history of depression (= lifetime broad depression), and APOE ε4 genotype on BAG and LTL, examining both additive and interactive relationships. We found that postmenopausal status and older age at natural menopause were linked to longer LTL and lower BAG. Surgical menopause and longer natural reproductive span were also associated with longer LTL. BAG and LTL were not significantly associated with each other. The greatest variance in each proxy of biological aging was most consistently explained by models with the addition of both lifetime broad depression and APOE ε4 genotype. Overall, this study demonstrates a complex interplay between menopause-related factors, lifetime broad depression, APOE ε4 genotype, and proxies of biological aging. However, results are potentially influenced by a disproportionate number of healthier participants among postmenopausal females. Future longitudinal studies incorporating heterogeneous samples are an essential step towards advancing female health.

将英国生物库队列中的更年期相关因素、抑郁症病史、APOE ε4和生物衰老代用指标联系起来。
在一部分女性中,绝经后状态与加速衰老和神经功能衰退有关。生殖相关因素、精神障碍和遗传之间复杂的相互作用可能会影响绝经后阶段的大脑功能并加速衰老。在这项预先登记的研究中,我们使用年龄校正多元回归法,调查了英国生物库中 13780 名女性(年龄范围为 39-82 岁)的绝经相关因素(即绝经状态、绝经类型、绝经年龄和生育间隔)与细胞衰老代用指标(白细胞端粒长度,LTL)和大脑衰老代用指标(脑白质和脑灰质年龄差距,BAG)之间的关系。然后,我们确定了这些衰老代用指标之间的相互关系,并评估了更年期相关因素、抑郁症病史(=终生广泛抑郁)和 APOE ε4 基因型对 BAG 和 LTL 的影响,研究了两者之间的相加关系和交互关系。我们发现,绝经后状态和自然绝经年龄较大与LTL较长和BAG较低有关。手术绝经和较长的自然生育期也与较长的 LTL 有关。BAG和LTL之间没有明显的关联。加入终生广泛抑郁和 APOE ε4 基因型的模型可以解释生物衰老的最大差异。总之,本研究表明更年期相关因素、终生广泛抑郁、APOE ε4 基因型和生物衰老代用指标之间存在复杂的相互作用。不过,研究结果可能会受到绝经后女性中健康参与者比例过高的影响。未来纳入异质性样本的纵向研究是促进女性健康的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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