Mark Mapstone,Amrita K. Cheema,Massimo S. Fiandaca,Xiaogang Zhong,Timothy R. Mhyre,Linda MacArthur,William J. Hall,Susan G. Fisher,Derick R. Peterson,James M. Haley,Michael D. Nazar,Steven A. Rich,Daniel J. Berlau,Carrie Peltz,Ming Tan,Claudia H. Kawas,Howard J. Federoff
出处
期刊:Nature Medicine [Springer Nature] 日期:2014-03-09卷期号:20 (4): 415-418被引量:960
Howard Federoff and colleagues have identified a ten-metabolite profile in the blood that can determine with 90% certainty whether a cognitively normal elderly person will go on to develop dementia symptoms in the next 2–3 years. The findings could help with patient selection for clinical trials aimed at preventing dementia. Alzheimer's disease causes a progressive dementia that currently affects over 35 million individuals worldwide and is expected to affect 115 million by 2050 (ref. 1). There are no cures or disease-modifying therapies, and this may be due to our inability to detect the disease before it has progressed to produce evident memory loss and functional decline. Biomarkers of preclinical disease will be critical to the development of disease-modifying or even preventative therapies2. Unfortunately, current biomarkers for early disease, including cerebrospinal fluid tau and amyloid-β levels3, structural and functional magnetic resonance imaging4 and the recent use of brain amyloid imaging5 or inflammaging6, are limited because they are either invasive, time-consuming or expensive. Blood-based biomarkers may be a more attractive option, but none can currently detect preclinical Alzheimer's disease with the required sensitivity and specificity7. Herein, we describe our lipidomic approach to detecting preclinical Alzheimer's disease in a group of cognitively normal older adults. We discovered and validated a set of ten lipids from peripheral blood that predicted phenoconversion to either amnestic mild cognitive impairment or Alzheimer's disease within a 2–3 year timeframe with over 90% accuracy. This biomarker panel, reflecting cell membrane integrity, may be sensitive to early neurodegeneration of preclinical Alzheimer's disease.