β-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
β-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
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DOI:
10.1038/s42003-020-1079-x
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发表时间:
2020-07-06
影响因子:
5.9
通讯作者:
Lin, Ai-Ling
中科院分区:
文献类型:
--
作者:
Hammond, Tyler C.;Xing, Xin;Lin, Ai-Ling
Here the authors analyze the Alzheimer's Disease Neuroimaging Initiative dataset using random forest machine learning methods and determine that A beta and tau biomarkers are better predictors of early dementia status, while glucose hypometabolism is a better predictor of later dementia status. These results suggest the need for stage-oriented Alzheimer's disease treatments.Clinical trials focusing on therapeutic candidates that modify beta-amyloid (A beta) have repeatedly failed to treat Alzheimer's disease (AD), suggesting that A beta may not be the optimal target for treating AD. The evaluation of A beta, tau, and neurodegenerative (A/T/N) biomarkers has been proposed for classifying AD. However, it remains unclear whether disturbances in each arm of the A/T/N framework contribute equally throughout the progression of AD. Here, using the random forest machine learning method to analyze participants in the Alzheimer's Disease Neuroimaging Initiative dataset, we show that A/T/N biomarkers show varying importance in predicting AD development, with elevated biomarkers of A beta and tau better predicting early dementia status, and biomarkers of neurodegeneration, especially glucose hypometabolism, better predicting later dementia status. Our results suggest that AD treatments may also need to be disease stage-oriented with A beta and tau as targets in early AD and glucose metabolism as a target in later AD.