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影像引导微阵列:分离区分阿尔茨海默病与正常衰老的分子特征

Imaging-guided microarray: isolating molecular profiles that dissociate Alzheimer's disease from normal aging.

作者信息

Pereira Ana Carolina, Wu William, Small Scott A

机构信息

Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA.

出版信息

Ann N Y Acad Sci. 2007 Feb;1097:225-38. doi: 10.1196/annals.1379.005.

Abstract

Although both Alzheimer's disease (AD) and normal aging contribute to age-related hippocampal dysfunction, they are likely governed by separate molecular mechanisms. In principle, gene expression profiling can offer molecular clues about underlying mechanisms, but in practice techniques like microarray present unique analytic challenges when applied to disorders of the brain. Imaging-guided microarray is an approach designed to address these analytic challenges. Here, we will first review findings applying variants of functional magnetic resonance imaging (fMRI) to AD and normal aging, establishing the spatiotemporal profiles that dissociate one from the other. Then, we will review preliminary findings applying imaging-guided microarray to AD and normal aging, in an attempt to isolate molecular profiles that dissociate the two main causes of age-related hippocampal dysfunction.

摘要

尽管阿尔茨海默病(AD)和正常衰老都会导致与年龄相关的海马体功能障碍,但它们可能受不同的分子机制支配。原则上,基因表达谱分析可以提供有关潜在机制的分子线索,但实际上,像微阵列这样的技术应用于脑部疾病时会带来独特的分析挑战。成像引导微阵列是一种旨在应对这些分析挑战的方法。在此,我们将首先回顾将功能磁共振成像(fMRI)变体应用于AD和正常衰老的研究结果,确定将两者区分开来的时空特征。然后,我们将回顾将成像引导微阵列应用于AD和正常衰老的初步研究结果,试图分离出区分与年龄相关的海马体功能障碍两种主要原因的分子特征。

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