Literature DB >> 31564609

Perspective: Clinical relevance of the dichotomous classification of Alzheimer's disease biomarkers: Should there be a "gray zone"?

Kevin McRae-McKee1, Chinedu T Udeh-Momoh2, Geraint Price2, Sumali Bajaj1, Celeste A de Jager2, David Scott3, Christoforos Hadjichrysanthou1, Emily McNaughton1, Luc Bracoud4, Sara Ahmadi-Abhari2, Frank de Wolf1, Roy M Anderson1, Lefkos T Middleton5.   

Abstract

The 2018 National Institute on Aging and the Alzheimer's Association (NIA-AA) research framework recently redefined Alzheimer's disease (AD) as a biological construct, based on in vivo biomarkers reflecting key neuropathologic features. Combinations of normal/abnormal levels of three biomarker categories, based on single thresholds, form the AD signature profile that defines the biological disease state as a continuum, independent of clinical symptomatology. While single thresholds may be useful in defining the biological signature profile, we provide evidence that their use in studies with cognitive outcomes merits further consideration. Using data from the Alzheimer's Disease Neuroimaging Initiative with a focus on cortical amyloid binding, we discuss the limitations of applying the biological definition of disease status as a tool to define the increased likelihood of the onset of the Alzheimer's clinical syndrome and the effects that this may have on trial study design. We also suggest potential research objectives going forward and what the related data requirements would be.
Copyright © 2019 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADNI; AT(N); Alzheimer's clinical syndrome; Alzheimer's disease Neuroimaging Initiative; Amyloid PET; Biomarker thresholds; Cognitive decline; NIA-AA; Perithreshold; SUVR

Mesh:

Substances:

Year:  2019        PMID: 31564609     DOI: 10.1016/j.jalz.2019.07.010

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  9 in total

1.  Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.

Authors:  Artur Martins Coutinho; Geraldo F Busatto; Fábio Henrique de Gobbi Porto; Daniele de Paula Faria; Carla Rachel Ono; Alexandre Teles Garcez; Paula Squarzoni; Fábio Luiz de Souza Duran; Maira Okada de Oliveira; Eduardo Sturzeneker Tres; Sonia Maria Dozzi Brucki; Orestes Vicente Forlenza; Ricardo Nitrini; Carlos Alberto Buchpiguel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-02-13       Impact factor: 9.236

2.  Associations Between Microstructure, Amyloid, and Cognition in Amnestic Mild Cognitive Impairment and Dementia.

Authors:  Emilie T Reas; Donald J Hagler; Joshua M Kuperman; Christina E Wierenga; Douglas Galasko; Nathan S White; Anders M Dale; Sarah J Banks; Linda K McEvoy; James B Brewer
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

Review 3.  Using the Alzheimer's Disease Neuroimaging Initiative to improve early detection, diagnosis, and treatment of Alzheimer's disease.

Authors:  Dallas P Veitch; Michael W Weiner; Paul S Aisen; Laurel A Beckett; Charles DeCarli; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Susan M Landau; John C Morris; Ozioma Okonkwo; Richard J Perrin; Ronald C Petersen; Monica Rivera-Mindt; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; Duygu Tosun; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2021-09-28       Impact factor: 16.655

Review 4.  Novel PET Biomarkers to Disentangle Molecular Pathways across Age-Related Neurodegenerative Diseases.

Authors:  Heather Wilson; Marios Politis; Eugenii A Rabiner; Lefkos T Middleton
Journal:  Cells       Date:  2020-12-02       Impact factor: 6.600

5.  Grey zone amyloid burden affects memory function: the SCIENCe project.

Authors:  J L Ebenau; S C J Verfaillie; K A van den Bosch; T Timmers; L M P Wesselman; M van Leeuwenstijn; H Tuncel; S V S Golla; M M Yaqub; A D Windhorst; N D Prins; F Barkhof; P Scheltens; W M van der Flier; B N M van Berckel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-09-04       Impact factor: 9.236

6.  Artificial Intelligence-based MRI Images for Brain in Prediction of Alzheimer's Disease.

Authors:  Xiaowang Bi; Wei Liu; Huaiqin Liu; Qun Shang
Journal:  J Healthc Eng       Date:  2021-10-19       Impact factor: 2.682

7.  Plasma phosphorylated-tau181 as a predictive biomarker for Alzheimer's amyloid, tau and FDG PET status.

Authors:  Xue-Ning Shen; Yu-Yuan Huang; Shi-Dong Chen; Yu Guo; Lan Tan; Qiang Dong; Jin-Tai Yu
Journal:  Transl Psychiatry       Date:  2021-11-13       Impact factor: 6.222

8.  A three-range approach enhances the prognostic utility of CSF biomarkers in Alzheimer's disease.

Authors:  Wagner S Brum; Marco Antônio de Bastiani; Andrei Bieger; Joseph Therriault; João P Ferrari-Souza; Andréa L Benedet; Paramita Saha-Chaudhuri; Diogo O Souza; Nicholas J Ashton; Henrik Zetterberg; Tharick A Pascoal; Thomas Karikari; Kaj Blennow; Pedro Rosa-Neto; Eduardo R Zimmer
Journal:  Alzheimers Dement (N Y)       Date:  2022-03-13

9.  Association of amyloid-β CSF/PET discordance and tau load 5 years later.

Authors:  Juhan Reimand; Lyduine Collij; Philip Scheltens; Femke Bouwman; Rik Ossenkoppele
Journal:  Neurology       Date:  2020-09-10       Impact factor: 9.910

  9 in total

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