TY - JOUR
T1 - The EMIF-AD PreclinAD study
T2 - study design and baseline cohort overview
AU - Konijnenberg, Elles
AU - Carter, Stephen F.
AU - ten Kate, Mara
AU - den Braber, Anouk
AU - Tomassen, Jori
AU - Amadi, Chinenye
AU - Wesselman, Linda
AU - Nguyen, Hoang-Ton
AU - van de Kreeke, Jacoba A.
AU - Yaqub, Maqsood
AU - Demuru, Matteo
AU - Mulder, Sandra D.
AU - Hillebrand, Arjan
AU - Bouwman, Femke H.
AU - Teunissen, Charlotte E.
AU - Serne, Erik H.
AU - Moll, Annette C.
AU - Verbraak, Frank D.
AU - Hinz, Rainer
AU - Pendleton, Neil
AU - Lammertsma, Adriaan A.
AU - van Berckel, Bart N. M.
AU - Barkhof, Frederik
AU - Boomsma, Dorret
AU - Scheltens, Philip
AU - Herholz, Karl
AU - Visser, Pieter Jelle
PY - 2018/8/4
Y1 - 2018/8/4
N2 - 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 [F-18]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.
AB - 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 [F-18]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.
KW - Preclinical Alzheimer's disease
KW - Amyloid
KW - Cognitively normal
KW - Monozygotic twins
KW - [F-18]flutemetamol
KW - NETHERLANDS TWIN REGISTER
KW - CEREBROSPINAL-FLUID BIOMARKERS
KW - BETA-AMYLOID BURDEN
KW - ALZHEIMERS-DISEASE
KW - OLDER-ADULTS
KW - ENVIRONMENTAL-INFLUENCES
KW - CAROTID ATHEROSCLEROSIS
KW - DIAGNOSTIC-CRITERIA
KW - COGNITIVE DECLINE
KW - BRAIN ATROPHY
U2 - 10.1186/s13195-018-0406-7
DO - 10.1186/s13195-018-0406-7
M3 - Article
SN - 1758-9193
VL - 10
JO - Alzheimer's Research & Therapy
JF - Alzheimer's Research & Therapy
IS - 1
M1 - 75
ER -