Literature DB >> 27318129

NIA-AA staging of preclinical Alzheimer disease: discordance and concordance of CSF and imaging biomarkers.

Stephanie J B Vos1, Brian A Gordon2, Yi Su2, Pieter Jelle Visser3, David M Holtzman4, John C Morris5, Anne M Fagan4, Tammie L S Benzinger6.   

Abstract

The National Institute of Aging and Alzheimer's Association (NIA-AA) criteria for Alzheimer disease (AD) treat neuroimaging and cerebrospinal fluid (CSF) markers of AD pathology as if they would be interchangeable. We tested this assumption in 212 cognitively normal participants who have both neuroimaging and CSF measures of β-amyloid (CSF Aβ1-42 and positron emission tomography imaging with Pittsburgh Compound B) and neuronal injury (CSF t-tau and p-tau and structural magnetic resonance imaging) with longitudinal clinical follow-up. Participants were classified in preclinical AD stage 1 (β-amyloidosis) or preclinical AD stage 2+ (β-amyloidosis and neuronal injury) using the NIA-AA criteria, or in the normal or suspected non-Alzheimer disease pathophysiology group (neuronal injury without β-amyloidosis). At baseline, 21% of participants had preclinical AD based on CSF and 28% based on neuroimaging. Between modalities, staging was concordant in only 47% of participants. Disagreement resulted from low concordance between biomarkers of neuronal injury. Still, individuals in stage 2+ using either criterion had an increased risk for clinical decline. This highlights the heterogeneity of the definition of neuronal injury and has important implications for clinical trials using biomarkers for enrollment or as surrogate end point measures.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Alzheimer's disease; Amyloid; Biomarkers; Cerebrospinal fluid; Comorbidities; Diagnosis; MRI; Neuroimaging; Neuronal injury; PET; Prognosis

Mesh:

Substances:

Year:  2016        PMID: 27318129      PMCID: PMC4913039          DOI: 10.1016/j.neurobiolaging.2016.03.025

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  47 in total

1.  Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study.

Authors:  Stephanie Jb Vos; Chengjie Xiong; Pieter Jelle Visser; Mateusz S Jasielec; Jason Hassenstab; Elizabeth A Grant; Nigel J Cairns; John C Morris; David M Holtzman; Anne M Fagan
Journal:  Lancet Neurol       Date:  2013-09-04       Impact factor: 44.182

2.  Moving towards early clinical trials for amyloid-targeted therapy in Alzheimer's disease.

Authors:  Paul S Aisen; Bruno Vellas; Harald Hampel
Journal:  Nat Rev Drug Discov       Date:  2013-03-15       Impact factor: 84.694

3.  Nonlinear Association Between Cerebrospinal Fluid and Florbetapir F-18 β-Amyloid Measures Across the Spectrum of Alzheimer Disease.

Authors:  Jon B Toledo; Maria Bjerke; Xiao Da; Susan M Landau; Norman L Foster; William Jagust; Clifford Jack; Michael Weiner; Christos Davatzikos; Leslie M Shaw; John Q Trojanowski
Journal:  JAMA Neurol       Date:  2015-05       Impact factor: 18.302

4.  Longitudinal Cerebrospinal Fluid Biomarker Changes in Preclinical Alzheimer Disease During Middle Age.

Authors:  Courtney L Sutphen; Mateusz S Jasielec; Aarti R Shah; Elizabeth M Macy; Chengjie Xiong; Andrei G Vlassenko; Tammie L S Benzinger; Erik E J Stoops; Hugo M J Vanderstichele; Britta Brix; Heather D Darby; Manu L J Vandijck; Jack H Ladenson; John C Morris; David M Holtzman; Anne M Fagan
Journal:  JAMA Neurol       Date:  2015-09       Impact factor: 18.302

5.  Does TDP-43 type confer a distinct pattern of atrophy in frontotemporal lobar degeneration?

Authors:  J L Whitwell; C R Jack; J E Parisi; M L Senjem; D S Knopman; B F Boeve; R Rademakers; M Baker; R C Petersen; D W Dickson; K A Josephs
Journal:  Neurology       Date:  2010-12-14       Impact factor: 9.910

6.  Improved discrimination of AD patients using beta-amyloid(1-42) and tau levels in CSF.

Authors:  F Hulstaert; K Blennow; A Ivanoiu; H C Schoonderwaldt; M Riemenschneider; P P De Deyn; C Bancher; P Cras; J Wiltfang; P D Mehta; K Iqbal; H Pottel; E Vanmechelen; H Vanderstichele
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

7.  Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects.

Authors:  J Logan; J S Fowler; N D Volkow; A P Wolf; S L Dewey; D J Schlyer; R R MacGregor; R Hitzemann; B Bendriem; S J Gatley
Journal:  J Cereb Blood Flow Metab       Date:  1990-09       Impact factor: 6.200

8.  Partial volume correction in quantitative amyloid imaging.

Authors:  Yi Su; Tyler M Blazey; Abraham Z Snyder; Marcus E Raichle; Daniel S Marcus; Beau M Ances; Randall J Bateman; Nigel J Cairns; Patricia Aldea; Lisa Cash; Jon J Christensen; Karl Friedrichsen; Russ C Hornbeck; Angela M Farrar; Christopher J Owen; Richard Mayeux; Adam M Brickman; William Klunk; Julie C Price; Paul M Thompson; Bernadino Ghetti; Andrew J Saykin; Reisa A Sperling; Keith A Johnson; Peter R Schofield; Virginia Buckles; John C Morris; Tammie L S Benzinger
Journal:  Neuroimage       Date:  2014-12-05       Impact factor: 6.556

9.  Amyloid-beta(1-42), total tau, and phosphorylated tau as cerebrospinal fluid biomarkers for the diagnosis of Alzheimer disease.

Authors:  Cees Mulder; Nicolaas A Verwey; Wiesje M van der Flier; Femke H Bouwman; Astrid Kok; Evert J van Elk; Philip Scheltens; Marinus A Blankenstein
Journal:  Clin Chem       Date:  2009-10-15       Impact factor: 8.327

10.  Rates of β-amyloid accumulation are independent of hippocampal neurodegeneration.

Authors:  Clifford R Jack; Heather J Wiste; David S Knopman; Prashanthi Vemuri; Michelle M Mielke; Stephen D Weigand; Matthew L Senjem; Jeffrey L Gunter; Val Lowe; Brian E Gregg; Vernon S Pankratz; Ronald C Petersen
Journal:  Neurology       Date:  2014-04-04       Impact factor: 9.910

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  45 in total

Review 1.  The National Institute on Aging and the Alzheimer's Association Research Framework for Alzheimer's disease: Perspectives from the Research Roundtable.

Authors:  David S Knopman; Samantha Budd Haeberlein; Maria C Carrillo; James A Hendrix; Geoff Kerchner; Richard Margolin; Paul Maruff; David S Miller; Gary Tong; Maria B Tome; Melissa E Murray; Peter T Nelson; Mary Sano; Niklas Mattsson; David L Sultzer; Thomas J Montine; Clifford R Jack; Hartmuth Kolb; Ronald C Petersen; Prashanthi Vemuri; Megan Zoschg Canniere; Julie A Schneider; Susan M Resnick; Gary Romano; Argonde Corien van Harten; David A Wolk; Lisa J Bain; Eric Siemers
Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

Review 2.  Detectable Neuropsychological Differences in Early Preclinical Alzheimer's Disease: A Meta-Analysis.

Authors:  S Duke Han; Caroline P Nguyen; Nikki H Stricker; Daniel A Nation
Journal:  Neuropsychol Rev       Date:  2017-05-11       Impact factor: 7.444

3.  Alzheimer Disease Signature Neurodegeneration and APOE Genotype in Mild Cognitive Impairment With Suspected Non-Alzheimer Disease Pathophysiology.

Authors:  Stefanie Schreiber; Frank Schreiber; Samuel N Lockhart; Andy Horng; Alexandre Bejanin; Susan M Landau; William J Jagust
Journal:  JAMA Neurol       Date:  2017-06-01       Impact factor: 18.302

4.  [Biomarker-based diagnostics of Alzheimer's disease : Concept of suspected non-Alzheimer pathology].

Authors:  K Fliessbach; A Schneider
Journal:  Nervenarzt       Date:  2018-03       Impact factor: 1.214

Review 5.  Fluid and imaging biomarkers for Alzheimer's disease: Where we stand and where to head to.

Authors:  Adriane Dallanora Henriques; Andrea Lessa Benedet; Einstein Francisco Camargos; Pedro Rosa-Neto; Otávio Toledo Nóbrega
Journal:  Exp Gerontol       Date:  2018-01-04       Impact factor: 4.032

6.  Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years.

Authors:  Marilyn Albert; Yuxin Zhu; Abhay Moghekar; Susumu Mori; Michael I Miller; Anja Soldan; Corinne Pettigrew; Ola Selnes; Shanshan Li; Mei-Cheng Wang
Journal:  Brain       Date:  2018-03-01       Impact factor: 13.501

7.  ATN profiles among cognitively normal individuals and longitudinal cognitive outcomes.

Authors:  Anja Soldan; Corinne Pettigrew; Anne M Fagan; Suzanne E Schindler; Abhay Moghekar; Christopher Fowler; Qiao-Xin Li; Steven J Collins; Cynthia Carlsson; Sanjay Asthana; Colin L Masters; Sterling Johnson; John C Morris; Marilyn Albert; Alden L Gross
Journal:  Neurology       Date:  2019-03-06       Impact factor: 9.910

8.  Cerebrospinal fluid biomarkers measured by Elecsys assays compared to amyloid imaging.

Authors:  Suzanne E Schindler; Julia D Gray; Brian A Gordon; Chengjie Xiong; Richard Batrla-Utermann; Marian Quan; Simone Wahl; Tammie L S Benzinger; David M Holtzman; John C Morris; Anne M Fagan
Journal:  Alzheimers Dement       Date:  2018-03-02       Impact factor: 21.566

9.  The fornix provides multiple biomarkers to characterize circuit disruption in a mouse model of Alzheimer's disease.

Authors:  Alexandra Badea; Lauren Kane; Robert J Anderson; Yi Qi; Mark Foster; Gary P Cofer; Neil Medvitz; Anne F Buckley; Andreas K Badea; William C Wetsel; Carol A Colton
Journal:  Neuroimage       Date:  2016-08-10       Impact factor: 6.556

Review 10.  Understanding the roles of mutations in the amyloid precursor protein in Alzheimer disease.

Authors:  S Hunter; C Brayne
Journal:  Mol Psychiatry       Date:  2017-11-07       Impact factor: 15.992

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