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通过影像学对唐氏综合征与阿尔茨海默病效应进行解离研究。

Dissociation of Down syndrome and Alzheimer's disease effects with imaging.

作者信息

Matthews Dawn C, Lukic Ana S, Andrews Randolph D, Marendic Boris, Brewer James, Rissman Robert A, Mosconi Lisa, Strother Stephen C, Wernick Miles N, Mobley William C, Ness Seth, Schmidt Mark E, Rafii Michael S

机构信息

ADM Diagnostics, Northbrook, IL, USA.

Alzheimer's Disease Cooperative Study, Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, USA.

出版信息

Alzheimers Dement (N Y). 2016 Jun;2(2):69-81. doi: 10.1016/j.trci.2016.02.004.

Abstract

INTRODUCTION

Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amyloid plaques and tangles and a high incidence of dementia and could provide an enriched population to study AD-targeted treatments. However, to evaluate effects of therapeutic intervention, it is necessary to dissociate the contributions of DS and AD from overall phenotype. Imaging biomarkers offer the potential to characterize and stratify patients who will worsen clinically but have yielded mixed findings in DS subjects.

METHODS

We evaluated 18F fluorodeoxyglucose positron emission tomography (PET), florbetapir PET, and structural magnetic resonance (sMR) image data from 12 nondemented DS adults using advanced multivariate machine learning methods.

RESULTS

Our results showed distinctive patterns of glucose metabolism and brain volume enabling dissociation of DS and AD effects. AD-like pattern expression corresponded to amyloid burden and clinical measures.

DISCUSSION

These findings lay groundwork to enable AD clinical trials with characterization and disease-specific tracking of DS adults.

摘要

引言

唐氏综合征(DS)成年人会出现类似阿尔茨海默病(AD)的淀粉样斑块和缠结的积累,且痴呆发病率很高,这可以为研究针对AD的治疗方法提供丰富的研究对象。然而,为了评估治疗干预的效果,有必要将DS和AD对整体表型的影响区分开来。成像生物标志物有可能对临床症状会恶化的患者进行特征描述和分层,但在DS患者中却得出了不一致的结果。

方法

我们使用先进的多变量机器学习方法,评估了12名非痴呆DS成年人的18F氟脱氧葡萄糖正电子发射断层扫描(PET)、氟比他派PET和结构磁共振(sMR)图像数据。

结果

我们的结果显示了葡萄糖代谢和脑容量的独特模式,能够区分DS和AD的影响。类似AD的模式表达与淀粉样蛋白负荷和临床指标相对应。

讨论

这些发现为针对DS成年人进行特征描述和疾病特异性跟踪的AD临床试验奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c80/5644275/e97bf2dec041/gr1.jpg

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