Journal Article

The EMIF-AD PreclinAD study: study design and baseline cohort overview

Moll, Annette C., Hillebrand, Arjan, ten Kate, Mara, Teunissen, Charlotte E., Yaqub, Maqsood, van de Kreeke, Jacoba A., Mulder, Sandra D., Lammertsma, Adriaan A., Herholz, Karl, Tomassen, Jori, den Braber, Anouk, Barkhof, Frederik, Wesselman, Linda, Serné, Erik H., Hinz, Rainer, Carter, Stephen F., van Berckel, Bart N. M., Amadi, Chinenye, Bouwman, Femke H., Verbraak, Frank D., Boomsma, Dorret I., Demuru, Matteo, Visser, Pieter Jelle, Konijnenberg, Elles, Nguyen, Hoang-Ton, Pendleton, Neil, Scheltens, Philip

2018

Overview

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 [ 18 F]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.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: [18F]flutemetamol / Alzheimer's disease / Amyloid / Analysis / Biomarkers / Biomedical and Life Sciences / Biomedicine / Brain research / Cognitive ability / Cognitively normal / Dementia / Diagnosis / Disease prevention / Geriatric Psychiatry / Geriatrics/Gerontology / Glycoproteins / Magnetic resonance imaging / Medical imaging / Monozygotic twins / Neurology / Neurosciences / Pathology / Preclinical Alzheimer’s disease / Prevention / Risk assessment / Risk factors / Twins