Literature DB >> 25541191

Independent information from cerebrospinal fluid amyloid-β and florbetapir imaging in Alzheimer's disease.

Niklas Mattsson1, Philip S Insel2, Michael Donohue3, Susan Landau4, William J Jagust4, Leslie M Shaw5, John Q Trojanowski5, Henrik Zetterberg6, Kaj Blennow7, Michael W Weiner2.   

Abstract

Reduced cerebrospinal fluid amyloid-β42 and increased retention of florbetapir positron emission tomography are biomarkers reflecting cortical amyloid load in Alzheimer's disease. However, these measurements do not always agree and may represent partly different aspects of the underlying Alzheimer's disease pathology. The goal of this study was therefore to test if cerebrospinal fluid and positron emission tomography amyloid-β biomarkers are independently related to other Alzheimer's disease markers, and to examine individuals who are discordantly classified by these two biomarker modalities. Cerebrospinal fluid and positron emission tomography amyloid-β were measured at baseline in 769 persons [161 healthy controls, 68 subjective memory complaints, 419 mild cognitive impairment and 121 Alzheimer's disease dementia, mean age 72 years (standard deviation 7 years), 47% females] and used to predict diagnosis, APOE ε4 carriage status, cerebral blood flow, cerebrospinal fluid total-tau and phosphorylated-tau levels (cross-sectionally); and hippocampal volume, fluorodeoxyglucose positron emission tomography results and Alzheimer's Disease Assessment Scale-cognitive subscale scores (longitudinally). Cerebrospinal fluid and positron emission tomography amyloid-β were highly correlated, but adjusting one of these predictors for the other revealed that they both provided partially independent information when predicting diagnosis, APOE ε4, hippocampal volume, metabolism, cognition, total-tau and phosphorylated-tau (the 95% confidence intervals of the adjusted effects did not include zero). Cerebrospinal fluid amyloid-β was more strongly related to APOE ε4 whereas positron emission tomography amyloid-β was more strongly related to tau levels (P < 0.05). Discordance (mainly isolated cerebrospinal fluid amyloid-β positivity) differed by diagnostic group (P < 0.001) and was seen in 21% of cognitively healthy people but only 6% in dementia patients. The finding that cerebrospinal fluid and positron emission tomography amyloid-β provide partially independent information about a wide range of Alzheimer's measures supports the theory that these modalities represent partly different aspects of Alzheimer's pathology. The fact that mismatch, with positive cerebrospinal fluid amyloid-β but normal positron emission tomography amyloid-β, is relatively common in cognitively healthy people may be considered when using these biomarkers to identify early stage Alzheimer's disease. Reduced cerebrospinal fluid amyloid-β may be more strongly related to early stage Alzheimer's disease, whereas increased positron emission tomography amyloid-β may be more strongly related to disease progression.
© The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Alzheimer's disease; amyloid; biomarker; cerebrospinal fluid; positron emission tomography

Mesh:

Substances:

Year:  2014        PMID: 25541191      PMCID: PMC4339769          DOI: 10.1093/brain/awu367

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  53 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  CSF biomarker variability in the Alzheimer's Association quality control program.

Authors:  Niklas Mattsson; Ulf Andreasson; Staffan Persson; Maria C Carrillo; Steven Collins; Sonia Chalbot; Neal Cutler; Diane Dufour-Rainfray; Anne M Fagan; Niels H H Heegaard; Ging-Yuek Robin Hsiung; Bradley Hyman; Khalid Iqbal; Stephan A Kaeser; Stephan A Käser; D Richard Lachno; Alberto Lleó; Piotr Lewczuk; José L Molinuevo; Piero Parchi; Axel Regeniter; Robert A Rissman; Robert Rissman; Hanna Rosenmann; Giuseppe Sancesario; Johannes Schröder; Leslie M Shaw; Charlotte E Teunissen; John Q Trojanowski; Hugo Vanderstichele; Manu Vandijck; Marcel M Verbeek; Henrik Zetterberg; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2013-05       Impact factor: 21.566

3.  Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer's disease and cognitively normal subjects.

Authors:  Abhinay D Joshi; Michael J Pontecorvo; Chrisopher M Clark; Alan P Carpenter; Danna L Jennings; Carl H Sadowsky; Lee P Adler; Karel D Kovnat; John P Seibyl; Anupa Arora; Krishnendu Saha; Jason D Burns; Mark J Lowrey; Mark A Mintun; Daniel M Skovronsky
Journal:  J Nucl Med       Date:  2012-02-13       Impact factor: 10.057

4.  Simultaneous measurement of beta-amyloid(1-42), total tau, and phosphorylated tau (Thr181) in cerebrospinal fluid by the xMAP technology.

Authors:  Annika Olsson; Hugo Vanderstichele; Niels Andreasen; Geert De Meyer; Anders Wallin; Björn Holmberg; Lars Rosengren; Eugeen Vanmechelen; Kaj Blennow
Journal:  Clin Chem       Date:  2004-11-24       Impact factor: 8.327

5.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

Authors:  Leslie M Shaw; Hugo Vanderstichele; Malgorzata Knapik-Czajka; Christopher M Clark; Paul S Aisen; Ronald C Petersen; Kaj Blennow; Holly Soares; Adam Simon; Piotr Lewczuk; Robert Dean; Eric Siemers; William Potter; Virginia M-Y Lee; John Q Trojanowski
Journal:  Ann Neurol       Date:  2009-04       Impact factor: 10.422

6.  Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study.

Authors:  Victor L Villemagne; Samantha Burnham; Pierrick Bourgeat; Belinda Brown; Kathryn A Ellis; Olivier Salvado; Cassandra Szoeke; S Lance Macaulay; Ralph Martins; Paul Maruff; David Ames; Christopher C Rowe; Colin L Masters
Journal:  Lancet Neurol       Date:  2013-03-08       Impact factor: 44.182

7.  Relationship of cerebrospinal fluid markers to 11C-PiB and 18F-FDDNP binding.

Authors:  Nelleke Tolboom; Wiesje M van der Flier; Maqsood Yaqub; Ronald Boellaard; Nicolaas A Verwey; Marinus A Blankenstein; Albert D Windhorst; Philip Scheltens; Adriaan A Lammertsma; Bart N M van Berckel
Journal:  J Nucl Med       Date:  2009-08-18       Impact factor: 10.057

Review 8.  The amyloid hypothesis of Alzheimer's disease: progress and problems on the road to therapeutics.

Authors:  John Hardy; Dennis J Selkoe
Journal:  Science       Date:  2002-07-19       Impact factor: 47.728

9.  Increased in vivo amyloid-β42 production, exchange, and loss in presenilin mutation carriers.

Authors:  Rachel Potter; Bruce W Patterson; Donald L Elbert; Vitaliy Ovod; Tom Kasten; Wendy Sigurdson; Kwasi Mawuenyega; Tyler Blazey; Alison Goate; Robert Chott; Kevin E Yarasheski; David M Holtzman; John C Morris; Tammie L S Benzinger; Randall J Bateman
Journal:  Sci Transl Med       Date:  2013-06-12       Impact factor: 17.956

10.  BACE1 inhibition induces a specific cerebrospinal fluid β-amyloid pattern that identifies drug effects in the central nervous system.

Authors:  Niklas Mattsson; Lawrence Rajendran; Henrik Zetterberg; Mikael Gustavsson; Ulf Andreasson; Maria Olsson; Gunnar Brinkmalm; Johan Lundkvist; Laura H Jacobson; Ludovic Perrot; Ulf Neumann; Herman Borghys; Marc Mercken; Deborah Dhuyvetter; Fredrik Jeppsson; Kaj Blennow; Erik Portelius
Journal:  PLoS One       Date:  2012-02-06       Impact factor: 3.240

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  103 in total

1.  Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects.

Authors:  Jon B Toledo; Henrik Zetterberg; Argonde C van Harten; Lidia Glodzik; Pablo Martinez-Lage; Luisella Bocchio-Chiavetto; Lorena Rami; Oskar Hansson; Reisa Sperling; Sebastiaan Engelborghs; Ricardo S Osorio; Hugo Vanderstichele; Manu Vandijck; Harald Hampel; Stefan Teipl; Abhay Moghekar; Marilyn Albert; William T Hu; Jose A Monge Argilés; Ana Gorostidi; Charlotte E Teunissen; Peter P De Deyn; Bradley T Hyman; Jose L Molinuevo; Giovanni B Frisoni; Gurutz Linazasoro; Mony J de Leon; Wiesje M van der Flier; Philip Scheltens; Kaj Blennow; Leslie M Shaw; John Q Trojanowski
Journal:  Brain       Date:  2015-07-27       Impact factor: 13.501

2.  Accelerating rates of cognitive decline and imaging markers associated with β-amyloid pathology.

Authors:  Philip S Insel; Niklas Mattsson; R Scott Mackin; Michael Schöll; Rachel L Nosheny; Duygu Tosun; Michael C Donohue; Paul S Aisen; William J Jagust; Michael W Weiner
Journal:  Neurology       Date:  2016-04-15       Impact factor: 9.910

3.  What does it mean to be 'amyloid-positive'?

Authors:  Anne M Fagan
Journal:  Brain       Date:  2015-03       Impact factor: 13.501

4.  Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model.

Authors:  Saffire H Krance; Hugo Cogo-Moreira; Jennifer S Rabin; Sandra E Black; Walter Swardfager
Journal:  J Neurosci       Date:  2019-07-26       Impact factor: 6.167

Review 5.  Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2017-03-22       Impact factor: 21.566

6.  Amyloid biomarkers: pushing the limits of early detection.

Authors:  Gil D Rabinovici
Journal:  Brain       Date:  2016-04       Impact factor: 13.501

7.  Circulating insulin-like growth factor 1 and insulin-like growth factor binding protein-3 level in Alzheimer's disease: a meta-analysis.

Authors:  Xiaohui Hu; Yan Yang; Daokai Gong
Journal:  Neurol Sci       Date:  2016-07-05       Impact factor: 3.307

8.  Associations between Performance on an Abbreviated CogState Battery, Other Measures of Cognitive Function, and Biomarkers in People at Risk for Alzheimer's Disease.

Authors:  Annie M Racine; Lindsay R Clark; Sara E Berman; Rebecca L Koscik; Kimberly D Mueller; Derek Norton; Christopher R Nicholas; Kaj Blennow; Henrik Zetterberg; Bruno Jedynak; Murat Bilgel; Cynthia M Carlsson; Bradley T Christian; Sanjay Asthana; Sterling C Johnson
Journal:  J Alzheimers Dis       Date:  2016-10-18       Impact factor: 4.472

Review 9.  Is amyloid-β harmful to the brain? Insights from human imaging studies.

Authors:  William Jagust
Journal:  Brain       Date:  2015-11-27       Impact factor: 13.501

10.  Concordance Between Different Amyloid Immunoassays and Visual Amyloid Positron Emission Tomographic Assessment.

Authors:  Shorena Janelidze; Josef Pannee; Alvydas Mikulskis; Ping Chiao; Henrik Zetterberg; Kaj Blennow; Oskar Hansson
Journal:  JAMA Neurol       Date:  2017-12-01       Impact factor: 18.302

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