Journal article

A harmonized longitudinal biomarkers and cognition database for assessing the natural history of preclinical Alzheimer's disease from young adulthood and for designing prevention trials

Chengjie Xiong, Jingqin Luo, Folasade Agboola, Yan Li, Marilyn Albert, Sterling C Johnson, Rebecca L Koscik, Colin L Masters, Anja Soldan, Victor L Villemagne, Qiao-Xin Li, Eric M McDade, Anne M Fagan, Parinaz Massoumzadeh, Tammie Benzinger, Jason Hassenstab, Randall J Bateman, John C Morris

Alzheimer's & Dementia | ELSEVIER SCIENCE INC | Published : 2019

Abstract

INTRODUCTION: Large longitudinal biomarkers database focusing on middle age is needed for Alzheimer's disease (AD) prevention. METHODS: Data for cerebrospinal fluid analytes, molecular imaging of cerebral fibrillar β-amyloid with positron emission tomography, magnetic resonance imaging-based brain structures, and clinical/cognitive outcomes were harmonized across eight AD biomarker studies. Statistical power was estimated. RESULTS: The harmonized database included 7779 participants with clinical/cognitive data: 3542 were 18∼65 years at the baseline, 5865 had longitudinal cognitive data for a median of 4.7 years, 2473 participated in the cerebrospinal fluid studies (906 had longitudinal data)..

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Grants

Awarded by National Institute on Aging (NIA)


Awarded by NIA


Awarded by Neuroimaging Informatics and Analysis Center


Awarded by Dominantly Inherited Alzheimer's Network (DIAN) - National Institute on Aging (NIA)


Funding Acknowledgements

This study was supported by National Institute on Aging (NIA) grant R01 AG053550 (Dr. Xiong) and NIA grant P50 AG005681, P01AG026276, and P01 AG0399131 (Dr. Morris), UF1AG032438 (Dr. Bateman), U19-AGO33655 and R01 AG059869 (Albert), R01-AG027161 and R01 AG021155 (Johnson), P50AG033514 (Asthana), and Australian Commonwealth Scientific Industrial Research Organization (Masters). The AIBL study (www.AIBL.csiro.au) was supported by the Alzheimer's Association (US), the Alzheimer's Drug Discovery Foundation, an Anonymous foundation, the Science and Industry Endowment Fund, the Dementia Collaborative Research Centres, the Victorian Government's Operational Infrastructure Support program, the McCusker Alzheimer's Research Foundation, the National Health and Medical Research Council, and the Yulgilbar Foundation, plus numerous commercial interactions that supported data collection and analysis. Image processing was supported in part by the Neuroimaging Informatics and Analysis Center (1P30NS098577) and R01 EB009352.Data collection and sharing for this project was supported by The Dominantly Inherited Alzheimer's Network (DIAN, UF1AG032438) funded by the National Institute on Aging (NIA), the German Center for Neurodegenerative Diseases (DZNE), Raul Carrea Institute for Neurological Research (FLENI), Partial support by the Research and Development Grants for Dementia from Japan Agency for Medical Research and Development, AMED, and the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI). This article has been reviewed by DIAN Study investigators for scientific content and consistency of data interpretation with previous DIAN Study publications. The authors acknowledge the altruism of the participants and their families and contributions of the DIAN research and support staff at each of the participating sites for their contributions to this study.