Journal article

High performance plasma amyloid-beta biomarkers for Alzheimer's disease

Akinori Nakamura, Naoki Kaneko, Victor L Villemagne, Takashi Kato, James Doecke, Vincent Dore, Chris Fowler, Qiao-Xin Li, Ralph Martins, Christopher Rowe, Taisuke Tomita, Katsumi Matsuzaki, Kenji Ishii, Kazunari Ishii, Yutaka Arahata, Shinichi Iwamoto, Kengo Ito, Koichi Tanaka, Colin L Masters, Katsuhiko Yanagisawa

Nature | NATURE PUBLISHING GROUP | Published : 2018

Grants

Awarded by National Center for Geriatrics and Gerontology


Awarded by UMIN


Funding Acknowledgements

The NCGG study group thank all participants of the study, clinicians who referred patients, and all the staff who supported the MULNIAD project. We thank N. Sugimoto for conducting statistical analyses, S. Niida and the NCGG Biobank members for the management of plasma samples and M. Kawakage for data monitoring. This study was supported by The Research Funding for Longevity Sciences (25-24 and 26-30) from the National Center for Geriatrics and Gerontology, and partially supported by Research and Development Grants for Dementia from the Japan Agency for Medical Research and Development, AMED. This study is registered under UMIN ID: 000016144. The AIBL study would like to thank all participants of the study and the clinicians who referred participants. The AIBL study (https://aibl.csiro.au/) is a consortium between Austin Health, CSIRO, Edith Cowan University and the Florey Institute, The University of Melbourne. Partial financial support was provided by the Alzheimer's Association (US), the Alzheimer's Drug Discovery Foundation, an anonymous foundation, the Cooperative Research Centre for Mental Health, CSIRO Science and Industry Endowment Fund, the Dementia Collaborative Research Centres, the Victorian Government Operational Infrastructure Support program, the McCusker Alzheimer's Research Foundation, the National Health and Medical Research Council, and the Yulgilbar Foundation. Funding sources had no role in study design, data collection, data analyses or data interpretation.