Fleisher Adam S, Chen Kewei, Quiroz Yakeel T, Jakimovich Laura J, Gutierrez Gomez Madelyn, Langois Carolyn M, Langbaum Jessica B S, Roontiva Auttawut, Thiyyagura Pradeep, Lee Wendy, Ayutyanont Napatkamon, Lopez Liliana, Moreno Sonia, Muñoz Claudia, Tirado Victoria, Acosta-Baena Natalia, Fagan Anne M, Giraldo Margarita, Garcia Gloria, Huentelman Matthew J, Tariot Pierre N, Lopera Francisco, Reiman Eric M
Eli Lilly and Company, Indianapolis, Indiana2Department of Neurosciences, University of California, San Diego3Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona.
Arizona Alzheimer's Consortium, Phoenix4Banner Alzheimer's Institute, Phoenix, Arizona5Department of Mathematics and Statistics, Arizona State University, Tempe.
JAMA Neurol. 2015 Mar;72(3):316-24. doi: 10.1001/jamaneurol.2014.3314.
Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1)E280A mutation carriers and noncarriers from the world's largest known autosomal dominant Alzheimer disease (AD) kindred.
To characterize and compare age-associated changes in brain imaging and fluid biomarkers in PSEN1 E280A mutation carriers and noncarriers.
DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional measures of 18F-florbetapir positron emission tomography, 18F-fludeoxyglucose positron emission tomography, structural magnetic resonance imaging, cerebrospinal fluid (CSF), and plasma biomarkers of AD were assessed from 54 PSEN1 E280A kindred members (age range, 20-59 years).
We used brain mapping algorithms to compare regional cerebral metabolic rates for glucose and gray matter volumes in cognitively unimpaired mutation carriers and noncarriers. We used regression analyses to characterize associations between age and the mean cortical to pontine 18F-florbetapir standard uptake value ratios, precuneus cerebral metabolic rates for glucose, hippocampal gray matter volume, CSF Aβ1-42, total tau and phosphorylated tau181, and plasma Aβ measurements. Age at onset of progressive biomarker changes that distinguish carriers from noncarriers was estimated using best-fitting regression models.
Compared with noncarriers, cognitively unimpaired mutation carriers had significantly lower precuneus cerebral metabolic rates for glucose, smaller hippocampal volume, lower CSF Aβ1-42, higher CSF total tau and phosphorylated tau181, and higher plasma Aβ1-42 measurements. Sequential changes in biomarkers were seen at age 20 years (95% CI, 14-24 years) for CSF Aβ1-42, age 16 years (95% CI, 11-24 years) for the mean cortical 18F-florbetapir standard uptake value ratio, age 15 years (95% CI, 10-24 years) for precuneus cerebral metabolic rate for glucose, age 15 years (95% CI, 7-20 years) for CSF total tau, age 13 years (95% CI, 8-19 years) for phosphorylated tau181, and age 6 years (95% CI, 1-10 years) for hippocampal volume, with cognitive decline up to 6 years before the kindred's estimated median age of 44 years (95% CI, 43-45 years) at mild cognitive impairment diagnosis. No age-associated findings were seen in plasma Aβ1-42 or Aβ1-40.
This cross-sectional study provides additional information about the course of different AD biomarkers in the preclinical and clinical stages of autosomal dominant AD.
在世界上已知最大的常染色体显性阿尔茨海默病(AD)家系中,对早老素1(PSEN1)E280A突变携带者和非携带者的脑成像及体液生物标志物的年龄相关变化进行了特征描述和比较。
对PSEN1 E280A突变携带者和非携带者的脑成像及体液生物标志物的年龄相关变化进行特征描述和比较。
设计、地点和参与者:对54名PSEN1 E280A家系成员(年龄范围20 - 59岁)进行了18F-氟代贝他吡正电子发射断层扫描、18F-氟脱氧葡萄糖正电子发射断层扫描、结构磁共振成像、脑脊液(CSF)和AD血浆生物标志物的横断面测量。
我们使用脑图谱算法比较认知未受损的突变携带者和非携带者的区域脑葡萄糖代谢率和灰质体积。我们使用回归分析来描述年龄与平均皮质与脑桥18F-氟代贝他吡标准摄取值比值、楔前叶脑葡萄糖代谢率、海马灰质体积、脑脊液Aβ1-42、总tau蛋白和磷酸化tau181以及血浆Aβ测量值之间的关联。使用最佳拟合回归模型估计区分携带者和非携带者的生物标志物渐进性变化开始的年龄。
与非携带者相比,认知未受损的突变携带者楔前叶脑葡萄糖代谢率显著降低、海马体积较小、脑脊液Aβ1-42水平较低、脑脊液总tau蛋白和磷酸化tau181水平较高,以及血浆Aβ1-42测量值较高。脑脊液Aβ1-42在20岁(95%可信区间,14 - 24岁)出现生物标志物的连续变化,平均皮质18F-氟代贝他吡标准摄取值比值在16岁(95%可信区间,11 - 24岁),楔前叶脑葡萄糖代谢率在15岁(95%可信区间,10 - 24岁),脑脊液总tau蛋白在15岁(95%可信区间,7 - 20岁),磷酸化tau181在13岁(95%可信区间,8 - 19岁),海马体积在6岁(95%可信区间,1 - 10岁),在该家系估计的44岁(95%可信区间,43 - 45岁)轻度认知障碍诊断中位年龄前6年就出现认知下降。血浆Aβ1-42或Aβ1-40未发现与年龄相关的结果。
这项横断面研究提供了关于常染色体显性AD临床前和临床阶段不同AD生物标志物进程的更多信息。