TY - JOUR
T1 - Association of cerebral amyloid-β Aggregation with cognitive functioning in persons without dementia
AU - Amyloid Biomarker Study Group
AU - Jansen, Willemijn J.
AU - Ossenkoppele, Rik
AU - Tijms, Betty M.
AU - Fagan, Anne M.
AU - Hansson, Oskar
AU - Klunk, William E.
AU - Van Der Flier, Wiesje M.
AU - Villemagne, Victor L.
AU - Frisoni, Giovanni B.
AU - Fleisher, Adam S.
AU - Lleó, Alberto
AU - Mintun, Mark A.
AU - Wallin, Anders
AU - Engelborghs, Sebastiaan
AU - Na, Duk L.
AU - Chételat, Gäel
AU - Molinuevo, José Luis
AU - Landau, Susan M.
AU - Mattsson, Niklas
AU - Kornhuber, Johannes
AU - Sabri, Osama
AU - Rowe, Christopher C.
AU - Parnetti, Lucilla
AU - Popp, Julius
AU - Fladby, Tormod
AU - Jagust, William J.
AU - Aalten, Pauline
AU - Lee, Dong Young
AU - Vandenberghe, Rik
AU - De Oliveira, Catarina Resende
AU - Kapaki, Elisabeth
AU - Froelich, Lutz
AU - Ivanoiu, Adrian
AU - Gabryelewicz, Tomasz
AU - Verbeek, Marcel M.
AU - Sanchez-Juan, Páscual
AU - Hildebrandt, Helmut
AU - Camus, Vincent
AU - Zboch, Marzena
AU - Brooks, David J.
AU - Drzezga, Alexander
AU - Rinne, Juha O.
AU - Newberg, Andrew
AU - De Mendonça, Alexandre
AU - Sarazin, Marie
AU - Rabinovici, Gil D.
AU - Madsen, Karine
AU - Kramberger, Milica G.
AU - Nordberg, Agneta
AU - Grimmer, Timo
N1 - Funding Information:
Funding/Support: The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking under EMIF grant agreement 115372, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in-kind contribution. BIOMARKAPD is an EU JPND project. The project is supported through national funding organizations under the aegis of JPND. In the Netherlands, this is ZonMw. The Development of Screening Guidelines and Criteria for Predementia Alzheimer’s Disease (DESCRIPA) study was funded by grant QLRT-2001-2455 from the European Commission within the fifth framework program. The European Beta Amyloid Oligomers in the Early Diagnosis of AD and as Marker for Treatment Response (EDAR) study was funded by contract 37670 from the European Commission as part of the sixth framework program. This research was performed within the framework of the Center for Translational Molecular Medicine, grant 02N-101 from project Leiden Alzheimer-Research Nederland (LeARN). The Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) study was funded in part by the study partners (Australian Commonwealth Scientific Industrial and Research Organization, Edith Cowan University, Mental Health Research Institute, Alzheimer’s Australia, National Ageing Research Institute, Austin Health, CogState, Hollywood Private Hospital, and Sir Charles Gardner Hospital). The study also received support from the National Health and Medical Research Council and the Dementia Collaborative Research Centres program and ongoing funding from the Science and Industry Endowment Fund. Data collection and sharing for this project were funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (NIH grant U01 AG024904) and the US Department of Defense (ADNI grant W81XWH-12-2 -0012). ADNI is funded by the National Institute on Aging and the National Institute of Biomedical Imaging and Bioengineering and through generous contributions from the following: Alzheimer’s Association, Alzheimer’s Drug Discovery Foundation, BioClinica, Biogen Idec, Bristol-Myers Squibb, Eisai, Elan Pharmaceuticals, Eli Lilly and Company, Hoffmann-La Roche and its affiliated company Genentech, GE Healthcare, Innogenetics, IXICO; Janssen Alzheimer Immunotherapy Research & Development, Johnson & Johnson Pharmaceutical Research & Development, Medpace, Merck, Meso Scale Diagnostics, NeuroRx Research, Novartis Pharmaceuticals, Pfizer, Piramal Imaging, Servier, Synarc, and Takeda Pharmaceuticals. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the NIH. The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. The Dementia Competence Network (DCN) has been supported by grant 01GI0420 from the German Federal Ministry of Education and Research: Kompetenznetz Demenzen. Additional funding related to the randomized clinical trials came from Janssen-Cilag and Merz Pharmaceuticals. The latter funds were exclusively used for personnel, pharmaceuticals, blistering and shipment of medication, and monitoring and as capitation fees for recruiting centers. Funding for the St Louis contribution was provided by grants P50 AG005681, P01 AG003991, and P01 AG026276 from the National Institute on Aging; Fred Simmons and Olga Mohan; and the Charles and Joanne Knight Alzheimer’s Research Initiative of the Washington University Knight Alzheimer’s Disease Research Center. The Tours study received financial support from grant PHRC-N 2008 1004 from the French Ministry of Health and the EC-FP6-project DiMI, LSHB-CT-2005-512146. The Caen study was funded by Agence Nationale de la Recherche, Programme Hospitalier de Recherche Clinique, Région Basse Normandie, and Institut National de la Santé et de la Recherche Médicale (Inserm). The research leading to the Munich contribution to the Mattsson multicenter study has received funding from the grant ANR-10-IAIHU-06 from the program “Investissements d’avenir” (Agence Nationale de la Recherche-10-IA Agence Institut Hospitalo-Universitaire-6). The study from Pittsburgh was supported by grants P50 AG005133, RF1 AG025516, and P01 AG025204 from the NIH. The New York contributions to the Mattsson multicenter study were in part supported by grants P30 AG008051, R01 AG13616, R01 AG022374, and R01 AG12101 from the NIH. Data from Brescia in this article were collected by Translational Outpatient Memory Clinic (TOMC) working group at IRCCS Fatebenefratelli in Brescia, Italy. Contributors to the TOMC are G. Amicucci, S. Archetti, L. Benussi, G. Binetti, L. Bocchio-Chiavetto, C. Bonvicini, E. Canu, F. Caobelli, E. Cavedo, E. Chittò, M. Cotelli, M. Gennarelli, S. Galluzzi, C. Geroldi, R. Ghidoni, R. Giubbini, U. P. Guerra, G. Kuffenschin, G. Lussignoli, D. Moretti, B. Paghera, M. Parapini, C. Porteri, M. Romano, S. Rosini, I. Villa, R. Zanardini, and O. Zanetti. The JPND Project is supported in Italy by the Italian Ministry of Health. The assembling of the TU Munich data set was supported in part by grants HE 4560/1-2, DR 445/3-1, and DR 445/4-1 (Dr Drzezga) to the German Research Foundation (Deutsche Forschungsgemeinschaft) and by a KKF grant for clinical research of the Technische Universität München (Drs Drzezga and Gabryelewicz). The Florbetaben phase 2 study from which data were derived for this multicenter evaluation was sponsored by Bayer Healthcare/Piramal Imaging (Berlin, Germany). This work was supported by the University of Antwerp Research Fund, the Alzheimer Research Foundation, the Research Foundation Flanders, the Agency for Innovation by Science and Technology, the Belgian Science Policy Office Interuniversity Attraction Poles program, and the Flemish Government–initiated Methusalem excellence grant. The study in Hong Kong received funding support from Therese Pei Fong Chow Research Centre for Prevention of Dementia and Lui Che Woo Institute of Innovative Medicine. The JPND–BIOMARKAPD Project was supported in Portugal by the Fundação para a Ciência e Tecnologia through grant JPND/0005/2011. The Coimbra center was funded by Project PIC/IC/ 83206/2007 da Fundação para a Ciência e Tecnologia – Portugal. The study from Lund (the Swedish BioFINDER study) was supported by the European Research Council, Swedish Research Council, the Swedish Brain Foundation, the Swedish Alzheimer Foundation, the Marianne and Marcus Wallenberg Foundation, and the Swedish Federal Government under the ALF Agreement.
PY - 2018/1
Y1 - 2018/1
N2 - IMPORTANCE Cerebral amyloid-β aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid aggregation and cognitive manifestation in persons without dementia is important for a better understanding of the course of AD and for the design of prevention trials. OBJECTIVE To investigate whether amyloid-β aggregation is associated with cognitive functioning in persons without dementia. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included 2908 participants with normal cognition and 4133 with mild cognitive impairment (MCI) from 53 studies in the multicenter Amyloid Biomarker Study. Normal cognition was defined as having no cognitive concerns for which medical help was sought and scores within the normal range on cognitive tests. Mild cognitive impairment was diagnosed according to published criteria. Study inclusion began in 2013 and is ongoing. Data analysis was performed in January 2017. MAIN OUTCOMES AND MEASURES Global cognitive performance as assessed by the Mini-Mental State Examination (MMSE) and episodic memory performance as assessed by a verbal word learning test. Amyloid aggregation was measured with positron emission tomography or cerebrospinal fluid biomarkers and dichotomized as negative (normal) or positive (abnormal) according to study-specific cutoffs. Generalized estimating equations were used to examine the association between amyloid aggregation and low cognitive scores (MMSE score≤27 or memory z score≤-1.28) and to assess whether this association was moderated by age, sex, educational level, or apolipoprotein E genotype. RESULTS Among 2908 persons with normal cognition (mean [SD] age, 67.4 [12.8] years), amyloid positivity was associated with low memory scores after age 70 years (mean difference in amyloid positive vs negative, 4%[95%CI, 0%-7%] at 72 years and 21% [95%CI, 10%-33%] at 90 years) but was not associated with low MMSE scores (mean difference, 3%[95%CI, -1%to 6%], P = .16). Among 4133 patients with MCI (mean [SD] age, 70.2 [8.5] years), amyloid positivity was associated with low memory (mean difference, 16%[95%CI, 12%-20%], P < .001) and low MMSE (mean difference, 14%[95%CI, 12%-17%], P < .001) scores, and this association decreased with age. Low cognitive scores had limited utility for screening of amyloid positivity in persons with normal cognition and those with MCI. In persons with normal cognition, the age-related increase in low memory score paralleled the age-related increase in amyloid positivity with an intervening period of 10 to 15 years. CONCLUSIONS AND RELEVANCE Although low memory scores are an early marker of amyloid positivity, their value as a screening measure for early AD among persons without dementia is limited.
AB - IMPORTANCE Cerebral amyloid-β aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid aggregation and cognitive manifestation in persons without dementia is important for a better understanding of the course of AD and for the design of prevention trials. OBJECTIVE To investigate whether amyloid-β aggregation is associated with cognitive functioning in persons without dementia. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included 2908 participants with normal cognition and 4133 with mild cognitive impairment (MCI) from 53 studies in the multicenter Amyloid Biomarker Study. Normal cognition was defined as having no cognitive concerns for which medical help was sought and scores within the normal range on cognitive tests. Mild cognitive impairment was diagnosed according to published criteria. Study inclusion began in 2013 and is ongoing. Data analysis was performed in January 2017. MAIN OUTCOMES AND MEASURES Global cognitive performance as assessed by the Mini-Mental State Examination (MMSE) and episodic memory performance as assessed by a verbal word learning test. Amyloid aggregation was measured with positron emission tomography or cerebrospinal fluid biomarkers and dichotomized as negative (normal) or positive (abnormal) according to study-specific cutoffs. Generalized estimating equations were used to examine the association between amyloid aggregation and low cognitive scores (MMSE score≤27 or memory z score≤-1.28) and to assess whether this association was moderated by age, sex, educational level, or apolipoprotein E genotype. RESULTS Among 2908 persons with normal cognition (mean [SD] age, 67.4 [12.8] years), amyloid positivity was associated with low memory scores after age 70 years (mean difference in amyloid positive vs negative, 4%[95%CI, 0%-7%] at 72 years and 21% [95%CI, 10%-33%] at 90 years) but was not associated with low MMSE scores (mean difference, 3%[95%CI, -1%to 6%], P = .16). Among 4133 patients with MCI (mean [SD] age, 70.2 [8.5] years), amyloid positivity was associated with low memory (mean difference, 16%[95%CI, 12%-20%], P < .001) and low MMSE (mean difference, 14%[95%CI, 12%-17%], P < .001) scores, and this association decreased with age. Low cognitive scores had limited utility for screening of amyloid positivity in persons with normal cognition and those with MCI. In persons with normal cognition, the age-related increase in low memory score paralleled the age-related increase in amyloid positivity with an intervening period of 10 to 15 years. CONCLUSIONS AND RELEVANCE Although low memory scores are an early marker of amyloid positivity, their value as a screening measure for early AD among persons without dementia is limited.
UR - http://www.scopus.com/inward/record.url?scp=85040468555&partnerID=8YFLogxK
U2 - 10.1001/jamapsychiatry.2017.3391
DO - 10.1001/jamapsychiatry.2017.3391
M3 - Article
C2 - 29188296
AN - SCOPUS:85040468555
SN - 2168-622X
VL - 75
SP - 84
EP - 95
JO - JAMA Psychiatry
JF - JAMA Psychiatry
IS - 1
ER -