1. The EMIF-AD PreclinAD study
- Author
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Pieter Jelle Visser, Neil Pendleton, Maqsood Yaqub, Elles Konijnenberg, Annette C. Moll, Karl Herholz, Chinenye Amadi, Erik H. Serné, Frederik Barkhof, Mara ten Kate, Frank D. Verbraak, Sandra D. Mulder, Dorret I. Boomsma, Jacoba A. van de Kreeke, Philip Scheltens, Linda M.P. Wesselman, Femke H. Bouwman, Matteo Demuru, Charlotte E. Teunissen, Rainer Hinz, Hoang Ton Nguyen, Jori Tomassen, Bart N.M. van Berckel, Anouk den Braber, Stephen F. Carter, Adriaan A. Lammertsma, Arjan Hillebrand, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychiatrie & Neuropsychologie, Neurology, Amsterdam Neuroscience - Neurodegeneration, Radiology and nuclear medicine, Ophthalmology, Laboratory Medicine, NCA - neurodegeneration, NCA - Brain imaging technology, Internal medicine, ACS - Diabetes & metabolism, ACS - Microcirculation, APH - Health Behaviors & Chronic Diseases, APH - Quality of Care, and Amsterdam Reproduction & Development (AR&D)
- Subjects
0301 basic medicine ,Male ,Netherlands Twin Register (NTR) ,Pediatrics ,International Cooperation ,[F]flutemetamol ,[F-18]flutemetamol ,Monozygotic twin ,Neuropsychological Tests ,Preclinical Alzheimer's disease ,lcsh:RC346-429 ,Cohort Studies ,0302 clinical medicine ,NETHERLANDS TWIN REGISTER ,BRAIN ATROPHY ,Cognitive decline ,Aged, 80 and over ,Aniline Compounds ,Neuropsychology ,Age Factors ,Magnetoencephalography ,Middle Aged ,CEREBROSPINAL-FLUID BIOMARKERS ,Magnetic Resonance Imaging ,[18F]flutemetamol ,3. Good health ,ALZHEIMERS-DISEASE ,Carotid Arteries ,Neurology ,Cohort ,CAROTID ATHEROSCLEROSIS ,Female ,Alzheimer's disease ,Tomography, Optical Coherence ,Monozygotic twins ,Cohort study ,medicine.medical_specialty ,Amyloid ,Cognitive Neuroscience ,DIAGNOSTIC-CRITERIA ,lcsh:RC321-571 ,ENVIRONMENTAL-INFLUENCES ,03 medical and health sciences ,Apolipoproteins E ,Imaging, Three-Dimensional ,Cognitively normal ,Alzheimer Disease ,medicine ,Dementia ,Humans ,Benzothiazoles ,OLDER-ADULTS ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Preclinical Alzheimer’s disease ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Amyloid beta-Peptides ,business.industry ,Research ,BETA-AMYLOID BURDEN ,medicine.disease ,030104 developmental biology ,Positron-Emission Tomography ,COGNITIVE DECLINE ,Neurology (clinical) ,business ,Cognition Disorders ,030217 neurology & neurosurgery ,Blood sampling - Abstract
Background Amyloid pathology is the pathological hallmark in Alzheimer’s disease (AD) and can precede clinical dementia by decades. So far it remains unclear how amyloid pathology leads to cognitive impairment and dementia. To design AD prevention trials it is key to include cognitively normal subjects at high risk for amyloid pathology and to find predictors of cognitive decline in these subjects. These goals can be accomplished by targeting twins, with additional benefits to identify genetic and environmental pathways for amyloid pathology, other AD biomarkers, and cognitive decline. Methods From December 2014 to October 2017 we enrolled cognitively normal participants aged 60 years and older from the ongoing Manchester and Newcastle Age and Cognitive Performance Research Cohort and the Netherlands Twins Register. In Manchester we included single individuals, and in Amsterdam monozygotic twin pairs. At baseline, participants completed neuropsychological tests and questionnaires, and underwent physical examination, blood sampling, ultrasound of the carotid arteries, structural and resting state functional brain magnetic resonance imaging, and dynamic amyloid positron emission tomography (PET) scanning with [18F]flutemetamol. In addition, the twin cohort underwent lumbar puncture for cerebrospinal fluid collection, buccal cell collection, magnetoencephalography, optical coherence tomography, and retinal imaging. Results We included 285 participants, who were on average 74.8 ± 9.7 years old, 64% female. Fifty-eight participants (22%) had an abnormal amyloid PET scan. Conclusions A rich baseline dataset of cognitively normal elderly individuals has been established to estimate risk factors and biomarkers for amyloid pathology and future cognitive decline. Electronic supplementary material The online version of this article (10.1186/s13195-018-0406-7) contains supplementary material, which is available to authorized users.
- Published
- 2018