Xiao-Lu Li, Ruo-Tong Wang, Chen-Chen Tan, Lan Tan, Wei Xu
{"title":"晚年收缩压变化可预测认知轨迹和阿尔茨海默氏症风险。","authors":"Xiao-Lu Li, Ruo-Tong Wang, Chen-Chen Tan, Lan Tan, Wei Xu","doi":"10.3389/fnagi.2024.1448034","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The relationship of systolic blood pressure variability (SBPV) with Alzheimer's disease (AD) remains controversial. We aimed to explore the roles of SBPV in predicting AD incidence and to test the pathways that mediated the relationship of SBPV with cognitive functions.</p><p><strong>Methods: </strong>Longitudinal data across 96 months (T<sub>0</sub> to T<sub>4</sub>) were derived from the Alzheimer's disease Neuroimaging Initiative cohort. SBPV for each participant was calculated based on the four measurements of SBP across 24 months (T<sub>0</sub> to T<sub>3</sub>). At T<sub>3</sub>, logistic regression models were used to test the SBPV difference between 86 new-onset AD and 743 controls. Linear regression models were used to test the associations of SBPV with cognition and AD imaging endophenotypes for 743 non-demented participants (median age = 77.0, female = 42%). Causal mediation analyses were conducted to explore the effects of imaging endophenotypes in mediating the relationships of SBPV with cognitive function. Finally, Cox proportional hazard model was utilized to explore the association of SBPV with incident risk of AD (T<sub>3</sub> to T<sub>4</sub>, mean follow-up = 3.5 years).</p><p><strong>Results: </strong>Participants with new-onset AD at T<sub>3</sub> had significantly higher SBPV compared to their controls (<i>p</i> = 0.018). Higher SBPV was associated with lower scores of cognitive function (<i>p</i> = 0.005 for general cognition, <i>p</i> = 0.029 for memory, and <i>p</i> = 0.016 for executive function), higher cerebral burden of amyloid deposition by AV45 PET (<i>p</i> = 0.044), lower brain metabolism by FDG PET (<i>p</i> = 0.052), and higher burden of white matter hyperintensities (WMH) (<i>p</i> = 0.012). Amyloid pathology, brain metabolism, and WMH partially (ranging from 17.44% to 36.10%) mediated the associations of SBPV with cognition. Higher SBPV was significantly associated with elevated risk of developing AD (hazard ratio = 1.29, 95% confidence interval = 1.07 to 1.57, <i>p</i> = 0.008).</p><p><strong>Conclusion: </strong>These findings supported that maintaining stable SBP in late life helped lower the risk of AD, partially by modulating amyloid pathology, cerebral metabolism, and cerebrovascular health.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1448034"},"PeriodicalIF":4.1000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483855/pdf/","citationCount":"0","resultStr":"{\"title\":\"Systolic blood pressure variability in late-life predicts cognitive trajectory and risk of Alzheimer's disease.\",\"authors\":\"Xiao-Lu Li, Ruo-Tong Wang, Chen-Chen Tan, Lan Tan, Wei Xu\",\"doi\":\"10.3389/fnagi.2024.1448034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The relationship of systolic blood pressure variability (SBPV) with Alzheimer's disease (AD) remains controversial. We aimed to explore the roles of SBPV in predicting AD incidence and to test the pathways that mediated the relationship of SBPV with cognitive functions.</p><p><strong>Methods: </strong>Longitudinal data across 96 months (T<sub>0</sub> to T<sub>4</sub>) were derived from the Alzheimer's disease Neuroimaging Initiative cohort. SBPV for each participant was calculated based on the four measurements of SBP across 24 months (T<sub>0</sub> to T<sub>3</sub>). At T<sub>3</sub>, logistic regression models were used to test the SBPV difference between 86 new-onset AD and 743 controls. Linear regression models were used to test the associations of SBPV with cognition and AD imaging endophenotypes for 743 non-demented participants (median age = 77.0, female = 42%). Causal mediation analyses were conducted to explore the effects of imaging endophenotypes in mediating the relationships of SBPV with cognitive function. Finally, Cox proportional hazard model was utilized to explore the association of SBPV with incident risk of AD (T<sub>3</sub> to T<sub>4</sub>, mean follow-up = 3.5 years).</p><p><strong>Results: </strong>Participants with new-onset AD at T<sub>3</sub> had significantly higher SBPV compared to their controls (<i>p</i> = 0.018). Higher SBPV was associated with lower scores of cognitive function (<i>p</i> = 0.005 for general cognition, <i>p</i> = 0.029 for memory, and <i>p</i> = 0.016 for executive function), higher cerebral burden of amyloid deposition by AV45 PET (<i>p</i> = 0.044), lower brain metabolism by FDG PET (<i>p</i> = 0.052), and higher burden of white matter hyperintensities (WMH) (<i>p</i> = 0.012). Amyloid pathology, brain metabolism, and WMH partially (ranging from 17.44% to 36.10%) mediated the associations of SBPV with cognition. 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引用次数: 0
摘要
背景:收缩压变异性(SBPV)与阿尔茨海默病(AD)的关系仍存在争议。我们的目的是探索收缩压变异在预测阿尔茨海默病发病率中的作用,并测试介导收缩压变异与认知功能关系的途径:方法:我们从阿尔茨海默病神经影像倡议队列中获取了 96 个月(T0 至 T4)的纵向数据。根据 24 个月(T0 至 T3)内的四次 SBP 测量值计算出每位参与者的 SBPV。在 T3 阶段,使用逻辑回归模型检验了 86 例新发 AD 与 743 例对照组之间的 SBPV 差异。线性回归模型用于检验 743 名非痴呆参与者(中位年龄 = 77.0,女性 = 42%)的 SBPV 与认知能力和 AD 影像内表型之间的关联。此外,还进行了因果中介分析,以探讨影像学内表型对 SBPV 与认知功能之间关系的中介作用。最后,利用Cox比例危险模型探讨了SBPV与AD发病风险的关系(T3至T4,平均随访时间=3.5年):结果:与对照组相比,T3 期新发 AD 患者的 SBPV 明显更高(p = 0.018)。较高的 SBPV 与较低的认知功能评分(一般认知评分 p = 0.005,记忆评分 p = 0.029,执行功能评分 p = 0.016)、较高的 AV45 PET 淀粉样蛋白沉积脑负担(p = 0.044)、较低的 FDG PET 脑代谢(p = 0.052)和较高的白质高密度(WMH)负担(p = 0.012)相关。淀粉样病理、脑代谢和 WMH 部分(从 17.44% 到 36.10%)介导了 SBPV 与认知的关联。SBPV越高,患AD的风险越高(危险比=1.29,95%置信区间=1.07至1.57,P=0.008):这些研究结果表明,通过调节淀粉样蛋白病理学、脑代谢和脑血管健康,在晚年保持稳定的SBP有助于降低AD的发病风险。
Systolic blood pressure variability in late-life predicts cognitive trajectory and risk of Alzheimer's disease.
Background: The relationship of systolic blood pressure variability (SBPV) with Alzheimer's disease (AD) remains controversial. We aimed to explore the roles of SBPV in predicting AD incidence and to test the pathways that mediated the relationship of SBPV with cognitive functions.
Methods: Longitudinal data across 96 months (T0 to T4) were derived from the Alzheimer's disease Neuroimaging Initiative cohort. SBPV for each participant was calculated based on the four measurements of SBP across 24 months (T0 to T3). At T3, logistic regression models were used to test the SBPV difference between 86 new-onset AD and 743 controls. Linear regression models were used to test the associations of SBPV with cognition and AD imaging endophenotypes for 743 non-demented participants (median age = 77.0, female = 42%). Causal mediation analyses were conducted to explore the effects of imaging endophenotypes in mediating the relationships of SBPV with cognitive function. Finally, Cox proportional hazard model was utilized to explore the association of SBPV with incident risk of AD (T3 to T4, mean follow-up = 3.5 years).
Results: Participants with new-onset AD at T3 had significantly higher SBPV compared to their controls (p = 0.018). Higher SBPV was associated with lower scores of cognitive function (p = 0.005 for general cognition, p = 0.029 for memory, and p = 0.016 for executive function), higher cerebral burden of amyloid deposition by AV45 PET (p = 0.044), lower brain metabolism by FDG PET (p = 0.052), and higher burden of white matter hyperintensities (WMH) (p = 0.012). Amyloid pathology, brain metabolism, and WMH partially (ranging from 17.44% to 36.10%) mediated the associations of SBPV with cognition. Higher SBPV was significantly associated with elevated risk of developing AD (hazard ratio = 1.29, 95% confidence interval = 1.07 to 1.57, p = 0.008).
Conclusion: These findings supported that maintaining stable SBP in late life helped lower the risk of AD, partially by modulating amyloid pathology, cerebral metabolism, and cerebrovascular health.
期刊介绍:
Frontiers in Aging Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the mechanisms of Central Nervous System aging and age-related neural diseases. Specialty Chief Editor Thomas Wisniewski at the New York University School of Medicine is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.