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Plasma Protein Biomarkers for the Prediction of CSF Amyloid and Tau and F-18 -Flutemetamol PET Scan Result

Journal article
Authors S. Westwood
A. L. Baird
A. Hye
Nicholas Ashton
A. J. Nevado-Holgado
S. N. Anand
B. Liu
D. Newby
C. Bazenet
S. J. Kiddle
M. Ward
B. Newton
K. Desai
C. T. Hehir
M. Zanette
D. Galimberti
L. Parnetti
A. Lleo
S. Baker
V. A. Narayan
W. M. van der Flier
P. Scheltens
C. E. Teunissen
P. J. Visser
S. Lovestone
Published in Frontiers in Aging Neuroscience
Volume 10
ISSN 1663-4365
Publication year 2018
Published at Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Language en
Keywords Alzheimer's disease, amyloid, tau, biomarkers, proteomics, plasma, blood, ficolin-2, mild cognitive impairment, apolipoprotein-a-i, cerebrospinal-fluid, alzheimers-disease, insulin-resistance, serum-levels, beta, dementia, blood, association
Subject categories Neurosciences


Background: Blood biomarkers may aid in recruitment to clinical trials of Alzheimer's disease (AD) modifying therapeutics by triaging potential trials participants for amyloid positron emission tomography (PET) or cerebrospinal fluid (CSF) A beta and tau tests. Objective: To discover a plasma proteomic signature associated with CSF and PET measures of AD pathology. Methods: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) based proteomics were performed in plasma from participants with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD, recruited to the Amsterdam Dementia Cohort, stratified by CSF Tau/A beta(42) (n = 50). Technical replication and independent validation were performed by immunoassay in plasma from SCD, MCI, and AD participants recruited to the Amsterdam Dementia Cohort with CSF measures (n = 100), MCI participants enrolled in the GE067-005 study with [F-18]-Flutemetamol PET amyloid measures (n = 173), and AD, MCI and cognitively healthy participants from the EMIF 500 study with CSF A beta(42) measurements (n = 494). Results: 25 discovery proteins were nominally associated with CSF Tau/A beta(42) (P < 0.05) with associations of ficolin-2 (FCN2), apolipoprotein C -IV and fibrinogen f, chain confirmed by immunoassay (P < 0.05). In the GE067-005 cohort, FCN2 was nominally associated with PET amyloid (P < 0.05) replicating the association with CSF Tau/A beta(42). There were nominally significant associations of complement component 3 with PET amyloid, and apolipoprotein(a), apolipoprotein A-I, ceruloplasmin, and PPY with MCI conversion to AD (all P < 0.05). In the EMIF 500 cohort FCN2 was trending toward a significant relationship with CSF A beta(42) (P approximate to 0.05), while both Al AT and clusterin were nominally significantly associated with CSF A beta(42) (both P < 0.05). Conclusion: Associations of plasma proteins with multiple measures of AD pathology and progression are demonstrated. To our knowledge this is the first study to report an association of FCN2 with AD pathology. Further testing of the proteins in larger independent cohorts will be important.

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