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两种体系的故事:从中年女性衰老中吸取的经验教训及其对阿尔茨海默病预防和治疗的启示。

A tale of two systems: Lessons learned from female mid-life aging with implications for Alzheimer's prevention & treatment.

机构信息

Center for Innovation in Brain Science, University of Arizona, Tucson, AZ 85719, USA.

Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.

出版信息

Ageing Res Rev. 2022 Feb;74:101542. doi: 10.1016/j.arr.2021.101542. Epub 2021 Dec 17.

Abstract

Neurological aging is frequently viewed as a linear process of decline, whereas in reality, it is a dynamic non-linear process. The dynamic nature of neurological aging is exemplified during midlife in the female brain. To investigate fundamental mechanisms of midlife aging that underlie risk for development of Alzheimer's disease (AD) in late life, we investigated the brain at greatest risk for the disease, the aging female brain. Outcomes of our research indicate that mid-life aging in the female is characterized by the emergence of three phases: early chronological (pre-menopause), endocrinological (peri-menopause) and late chronological (post-menopause) aging. The endocrinological aging program is sandwiched between early and late chronological aging. Throughout the three stages of midlife aging, two systems of biology, metabolic and immune, are tightly integrated through a network of signaling cascades. The network of signaling between these two systems of biology underlie an orchestrated sequence of adaptative starvation responses that shift the brain from near exclusive dependence on a single fuel, glucose, to utilization of an auxiliary fuel derived from lipids, ketone bodies. The dismantling of the estrogen control of glucose metabolism during mid-life aging is a critical contributor to the shift in fuel systems and emergence of dynamic neuroimmune phenotype. The shift in fuel reliance, puts the largest reservoir of local fatty acids, white matter, at risk for catabolism as a source of lipids to generate ketone bodies through astrocytic beta oxidation. APOE4 genotype accelerates the tipping point for emergence of the bioenergetic crisis. While outcomes derived from research conducted in the female brain are not directly translatable to the male brain, the questions addressed in a female centric program of research are directly applicable to investigation of the male brain. Like females, males with AD exhibit deficits in the bioenergetic system of the brain, activation of the immune system and hallmark Alzheimer's pathologies. The drivers and trajectory of mechanisms underlying neurodegeneration in the male brain will undoubtedly share common aspects with the female in addition to factors unique to the male. Preclinical and clinical evidence indicate that midlife endocrine aging can also be a transitional bridge to autoimmune disorders. Collectively, the data indicate that endocrinological aging is a critical period "tipping point" in midlife which can initiate emergence of the prodromal stage of late-onset-Alzheimer's disease. Interventions that target both immune and metabolic shifts that occur during midlife aging have the potential to alter the trajectory of Alzheimer's risk in late life. Further, to achieve precision medicine for AD, chromosomal sex is a critical variable to consider along with APOE genotype, other genetic risk factors and stage of disease.

摘要

神经老化通常被视为一种线性衰退过程,而实际上,它是一种动态的非线性过程。女性大脑在中年时期体现了神经老化的动态本质。为了研究导致晚年发生阿尔茨海默病(AD)的中年衰老的基本机制,我们研究了最易患该病的大脑,即衰老的女性大脑。我们研究的结果表明,女性的中年衰老以三个阶段为特征:早期(绝经前)、内分泌(围绝经期)和晚期(绝经后)衰老。内分泌衰老阶段夹在早期和晚期的生理衰老之间。在中年衰老的三个阶段中,代谢和免疫这两个生物学系统通过信号级联网络紧密结合。这两个生物学系统之间的信号网络为适应性饥饿反应的协调序列提供了基础,从而使大脑从对单一燃料葡萄糖的近乎完全依赖转变为对源自脂质的辅助燃料酮体的利用。在中年衰老过程中雌激素对葡萄糖代谢的控制丧失是燃料系统转变和动态神经免疫表型出现的关键因素。对燃料依赖的转变使最大的局部脂肪酸储备——白质,面临分解代谢的风险,以作为通过星形胶质细胞β氧化产生酮体的脂质来源。APOE4 基因型加速了生物能量危机出现的临界点。虽然从女性大脑研究中得出的结果不能直接转化为男性大脑,但以女性为中心的研究计划中提出的问题直接适用于男性大脑的研究。与女性一样,患有 AD 的男性大脑的生物能量系统、免疫系统的激活和标志性的阿尔茨海默病病理都存在缺陷。除了男性特有的因素外,男性大脑中神经退行性变机制的驱动因素和轨迹无疑与女性有共同之处。临床前和临床证据表明,中年内分泌衰老也可能是自身免疫性疾病的过渡桥梁。总的来说,这些数据表明,内分泌衰老在中年是一个关键的“临界点”,它可以引发迟发性阿尔茨海默病前驱期的出现。针对中年衰老期间发生的免疫和代谢变化的干预措施有可能改变晚年患阿尔茨海默病的风险轨迹。此外,为了实现 AD 的精准医疗,除了 APOE 基因型、其他遗传风险因素和疾病阶段外,染色体性别也是一个需要考虑的关键变量。

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