Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease
Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease
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DOI:
10.1073/pnas.0900345106
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发表时间:
2009-04-21
影响因子:
11.1
通讯作者:
Caselli, Richard J.
中科院分区:
文献类型:
--
作者:
Reiman, Eric M.;Chen, Kewei;Caselli, Richard J.
Fibrillar amyloid-beta (A beta) is found in the brains of many cognitively normal older people. Whether or not this reflects a predisposition to Alzheimer's disease (AD) is unknown. We used Pittsburgh Compound B (PiB) PET to characterize the relationship between fibrillar A beta burden and this predisposition in cognitively normal older people at 3 mean levels of genetic risk for AD. Dynamic PiB PET scans, the Logan method, statistical parametric mapping, and automatically labeled regions of interest (ROIs) were used to characterize and compare cerebral-to-cerebellar PIB distribution volume ratios, reflecting fibrillar A beta burden, in 28 cognitively normal persons (mean age, 64 years) with a reported family history of AD and 2 copies, 1 copy, and no copies of the apolipoprotein E (APOE) epsilon 4 allele. The 8 epsilon 4 homozygotes, 8 heterozygotes, and 12 noncarriers did not differ significantly in terms of age, sex, or cognitive scores. Fibrillar A beta was significantly associated with APOE epsilon 4 carrier status and epsilon 4 gene dose in AD-affected mean cortical, frontal, temporal, posterior cingulate-precuneus, parietal, and basal ganglia ROIs, and was highest in an additional homozygote who had recently developed mild cognitive impairment. These findings suggest that fibrillar A beta burden in cognitively normal older people is associated with APOE epsilon 4 gene dose, the major genetic risk factor for AD. Additional studies are needed to track fibrillar A beta accumulation in persons with different kinds and levels of AD risk; to determine the extent to which fibrillar A beta, alone or in combination with other biomarkers and risk factors, predicts rates of cognitive decline and conversion to clinical AD; and to establish the role of fibrillar A beta imaging in primary prevention trials.