作者
Jon B Toledo, Matthias Arnold, Gabi Kastenmüller, Rui Chang, Rebecca A Baillie, Xianlin Han, Madhav Thambisetty, Jessica D Tenenbaum, Karsten Suhre, J Will Thompson, Lisa St John-Williams, Siamak MahmoudianDehkordi, Daniel M Rotroff, John R Jack, Alison Motsinger-Reif, Shannon L Risacher, Colette Blach, Joseph E Lucas, Tyler Massaro, Gregory Louie, Hongjie Zhu, Guido Dallmann, Kristaps Klavins, Therese Koal, Sungeun Kim, Kwangsik Nho, Li Shen, Ramon Casanova, Sudhir Varma, Cristina Legido-Quigley, M Arthur Moseley, Kuixi Zhu, Marc YR Henrion, Sven J van der Lee, Amy C Harms, Ayse Demirkan, Thomas Hankemeier, Cornelia M van Duijn, John Q Trojanowski, Leslie M Shaw, Andrew J Saykin, Michael W Weiner, P Murali Doraiswamy, Rima Kaddurah-Daouk, Alzheimer's Disease Neuroimaging Initiative, Alzheimer Disease Metabolomics Consortium
发表日期
2017/9/1
期刊
Alzheimer's & Dementia
卷号
13
期号
9
页码范围
965-984
出版商
No longer published by Elsevier
简介
Introduction
The Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our understanding of Alzheimer's disease (AD) and propel the development of critically needed therapies. In response to their recommendations, big data at multiple levels are being generated and integrated to study network failures in disease. We used metabolomics as a global biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance.
Methods
Fasting serum samples from the Alzheimer's Disease Neuroimaging Initiative (199 control, 356 mild cognitive impairment, and 175 AD participants) were analyzed using the AbsoluteIDQ-p180 kit. Performance was validated in blinded replicates, and …
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JB Toledo, M Arnold, G Kastenmüller, R Chang… - Alzheimer's & Dementia, 2017