Suppr超能文献

衰老相关表型与阿尔茨海默病病理的认知功能及脑脊液生物标志物之间的关联:CABLE研究

Association Between Phenoage With Cognitive Function and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease Pathology: The CABLE Study.

作者信息

Hao Quan, Fu Yan, Zhao Yong-Li, Zhang Zi-Qi, Li Zhen-Shuo, Zhang Ming-Zhan, Xiong Shi-Yin, Wang Yong-Chang, Tan Lan, Tan Meng-Shan

机构信息

Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.

School of Clinical Medicine, Weifang Medical University, Weifang, China.

出版信息

J Neurochem. 2025 Aug;169(8):e70174. doi: 10.1111/jnc.70174.

Abstract

Biological age, reflecting an individual's physiological state and function, may vary more or less than chronological age. This study aimed to probe the association between biological age (phenoage) with cognitive function and pathological biomarkers of Alzheimer's disease (AD) in cerebrospinal fluid (CSF). All population were recruited from the Chinese Alzheimer's Biomarker and Lifestyle (CABLE) study. Multiple linear regression models were utilized to analyze the correlation between phenoage with cognitive function, as well as CSF AD biomarkers. Stratified analyses were conducted by age, gender, APOE ε4 allele status, and age acceleration (AA). Sensitivity analyses were performed to ensure the robustness of the results. Mediation analyses were employed to explore the relationship between phenoage, CSF AD pathological biomarkers, and cognitive function. Our research sample consisted of 337 individuals, with a mean age of 64.06 years, of whom 39.8% were female. The study found that higher phenoage was significantly associated with poorer cognitive function, including lower MMSE scores (β = -0.024, p < 0.001) and MoCA-B scores (β = -0.020, p < 0.001). Besides, higher phenoage was also remarkably correlated with increased CSF AD pathologies, including increased t-tau (β = 0.020, p < 0.001), p-tau181 (β = 0.013, p = 0.005) and p-tau181/Aβ42 ratio (β = 0.012, p = 0.008). Stratified analysis revealed that the association between phenoage and cognitive function was more pronounced in the middle-aged group and among APOE ε4 allele noncarriers. Furthermore, mediation analysis revealed that tau pathologies partially mediated the relationship between phenoage and cognitive decline. Our study demonstrates that biological age (phenoage), determined by chronological age and nine aging-related variables, is correlated with cognitive function and CSF AD pathological biomarkers. Phenoage could offer a novel strategy for the prevention of Alzheimer's disease.

摘要

生物学年龄反映了个体的生理状态和功能,可能比实际年龄或多或少有所差异。本研究旨在探讨生物学年龄(表型年龄)与认知功能以及脑脊液(CSF)中阿尔茨海默病(AD)病理生物标志物之间的关联。所有研究对象均来自中国阿尔茨海默病生物标志物与生活方式(CABLE)研究。采用多元线性回归模型分析表型年龄与认知功能以及脑脊液AD生物标志物之间的相关性。按年龄、性别、APOE ε4等位基因状态和年龄加速(AA)进行分层分析。进行敏感性分析以确保结果的稳健性。采用中介分析来探讨表型年龄、脑脊液AD病理生物标志物和认知功能之间的关系。我们的研究样本包括337名个体,平均年龄为64.06岁,其中39.8%为女性。研究发现,较高的表型年龄与较差的认知功能显著相关,包括较低的MMSE评分(β = -0.024,p < 0.001)和MoCA - B评分(β = -0.020,p < 0.001)。此外,较高的表型年龄还与脑脊液AD病理变化增加显著相关,包括总tau蛋白(t - tau)增加(β = 0.020,p < 0.001)、磷酸化tau蛋白181(p - tau181)增加(β = 0.013,p = 0.005)以及p - tau181/Aβ42比值增加(β = 0.012,p = 0.008)。分层分析显示,表型年龄与认知功能之间的关联在中年组和APOE ε4等位基因非携带者中更为明显。此外,中介分析表明,tau蛋白病理变化部分介导了表型年龄与认知衰退之间的关系。我们的研究表明,由实际年龄和九个与衰老相关的变量所确定的生物学年龄(表型年龄)与认知功能和脑脊液AD病理生物标志物相关。表型年龄可为阿尔茨海默病的预防提供一种新策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验