Literature DB >> 26478889

The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

E Cavedo1, S Lista2, Z Khachaturian3, P Aisen4, P Amouyel5, K Herholz6, C R Jack7, R Sperling8, J Cummings9, K Blennow10, S O'Bryant11, G B Frisoni12, A Khachaturian13, M Kivipelto14, W Klunk15, K Broich16, S Andrieu17, M Thiebaut de Schotten18, J-F Mangin19, A A Lammertsma20, K Johnson21, S Teipel22, A Drzezga23, A Bokde24, O Colliot25, H Bakardjian26, H Zetterberg27, B Dubois28, B Vellas29, L S Schneider30, H Hampel2.   

Abstract

Alzheimer's disease (AD) is a slowly progressing non-linear dynamic brain disease in which pathophysiological abnormalities, detectable in vivo by biological markers, precede overt clinical symptoms by many years to decades. Use of these biomarkers for the detection of early and preclinical AD has become of central importance following publication of two international expert working group's revised criteria for the diagnosis of AD dementia, mild cognitive impairment (MCI) due to AD, prodromal AD and preclinical AD. As a consequence of matured research evidence six AD biomarkers are sufficiently validated and partly qualified to be incorporated into operationalized clinical diagnostic criteria and use in primary and secondary prevention trials. These biomarkers fall into two molecular categories: biomarkers of amyloid-beta (Aβ) deposition and plaque formation as well as of tau-protein related hyperphosphorylation and neurodegeneration. Three of the six gold-standard ("core feasible) biomarkers are neuroimaging measures and three are cerebrospinal fluid (CSF) analytes. CSF Aβ1-42 (Aβ1-42), also expressed as Aβ1-42 : Aβ1-40 ratio, T-tau, and P-tau Thr181 & Thr231 proteins have proven diagnostic accuracy and risk enhancement in prodromal MCI and AD dementia. Conversely, having all three biomarkers in the normal range rules out AD. Intermediate conditions require further patient follow-up. Magnetic resonance imaging (MRI) at increasing field strength and resolution allows detecting the evolution of distinct types of structural and functional abnormality pattern throughout early to late AD stages. Anatomical or volumetric MRI is the most widely used technique and provides local and global measures of atrophy. The revised diagnostic criteria for "prodromal AD" and "mild cognitive impairment due to AD" include hippocampal atrophy (as the fourth validated biomarker), which is considered an indicator of regional neuronal injury. Advanced image analysis techniques generate automatic and reproducible measures both in regions of interest, such as the hippocampus and in an exploratory fashion, observer and hypothesis-indedendent, throughout the entire brain. Evolving modalities such as diffusion-tensor imaging (DTI) and advanced tractography as well as resting-state functional MRI provide useful additionally useful measures indicating the degree of fiber tract and neural network disintegration (structural, effective and functional connectivity) that may substantially contribute to early detection and the mapping of progression. These modalities require further standardization and validation. The use of molecular in vivo amyloid imaging agents (the fifth validated biomarker), such as the Pittsburgh Compound-B and markers of neurodegeneration, such as fluoro-2-deoxy-D-glucose (FDG) (as the sixth validated biomarker) support the detection of early AD pathological processes and associated neurodegeneration. How to use, interpret, and disclose biomarker results drives the need for optimized standardization. Multimodal AD biomarkers do not evolve in an identical manner but rather in a sequential but temporally overlapping fashion. Models of the temporal evolution of AD biomarkers can take the form of plots of biomarker severity (degree of abnormality) versus time. AD biomarkers can be combined to increase accuracy or risk. A list of genetic risk factors is increasingly included in secondary prevention trials to stratify and select individuals at genetic risk of AD. Although most of these biomarker candidates are not yet qualified and approved by regulatory authorities for their intended use in drug trials, they are nonetheless applied in ongoing clinical studies for the following functions: (i) inclusion/exclusion criteria, (ii) patient stratification, (iii) evaluation of treatment effect, (iv) drug target engagement, and (v) safety. Moreover, novel promising hypothesis-driven, as well as exploratory biochemical, genetic, electrophysiological, and neuroimaging markers for use in clinical trials are being developed. The current state-of-the-art and future perspectives on both biological and neuroimaging derived biomarker discovery and development as well as the intended application in prevention trials is outlined in the present publication.

Entities:  

Keywords:  Alzheimer’s disease; biomarkers; molecular imaging; neuroimaging; prevention trials

Year:  2014        PMID: 26478889      PMCID: PMC4606938          DOI: 10.14283/jpad.2014.32

Source DB:  PubMed          Journal:  J Prev Alzheimers Dis        ISSN: 2274-5807


  215 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment.

Authors:  Madhav Thambisetty; Yang An; Anna Kinsey; Deepthi Koka; Muzamil Saleem; Andreas Güntert; Michael Kraut; Luigi Ferrucci; Christos Davatzikos; Simon Lovestone; Susan M Resnick
Journal:  Neuroimage       Date:  2011-07-28       Impact factor: 6.556

Review 3.  Systematic review of the body of evidence for the use of biomarkers in the diagnosis of dementia.

Authors:  Anna H Noel-Storr; Leon Flicker; Craig W Ritchie; Giang Huong Nguyen; Tarun Gupta; Phillip Wood; Josephine Walton; Meera Desai; Danielle Fraser Solomon; Emma Molena; Rosemary Worrall; Anja Hayen; Prateek Choudhary; Emma Ladds; Krista L Lanctôt; Frans R Verhey; Jenny M McCleery; Gillian E Mead; Linda Clare; Mario Fioravanti; Chris Hyde; Sue Marcus; Rupert McShane
Journal:  Alzheimers Dement       Date:  2012-10-27       Impact factor: 21.566

4.  Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods.

Authors:  Susan M Landau; Christopher Breault; Abhinay D Joshi; Michael Pontecorvo; Chester A Mathis; William J Jagust; Mark A Mintun
Journal:  J Nucl Med       Date:  2012-11-19       Impact factor: 10.057

5.  Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison.

Authors:  Anna Caroli; Annapaola Prestia; Kewei Chen; Napatkamon Ayutyanont; Susan M Landau; Cindee M Madison; Cathleen Haense; Karl Herholz; Flavio Nobili; Eric M Reiman; William J Jagust; Giovanni B Frisoni
Journal:  J Nucl Med       Date:  2012-02-17       Impact factor: 10.057

6.  Alterations in memory networks in mild cognitive impairment and Alzheimer's disease: an independent component analysis.

Authors:  Kim A Celone; Vince D Calhoun; Bradford C Dickerson; Alireza Atri; Elizabeth F Chua; Saul L Miller; Kristina DePeau; Doreen M Rentz; Dennis J Selkoe; Deborah Blacker; Marilyn S Albert; Reisa A Sperling
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

Review 7.  The future of blood-based biomarkers for Alzheimer's disease.

Authors:  Kim Henriksen; Sid E O'Bryant; Harald Hampel; John Q Trojanowski; Thomas J Montine; Andreas Jeromin; Kaj Blennow; Anders Lönneborg; Tony Wyss-Coray; Holly Soares; Chantal Bazenet; Magnus Sjögren; William Hu; Simon Lovestone; Morten A Karsdal; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2013-07-11       Impact factor: 21.566

8.  Resting state cortical rhythms in mild cognitive impairment and Alzheimer's disease: electroencephalographic evidence.

Authors:  Claudio Babiloni; Fabrizio Vecchio; Roberta Lizio; Raffaele Ferri; Guido Rodriguez; Nicola Marzano; Giovanni B Frisoni; Paolo M Rossini
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

9.  Amyloid deposition is associated with impaired default network function in older persons without dementia.

Authors:  Reisa A Sperling; Peter S Laviolette; Kelly O'Keefe; Jacqueline O'Brien; Dorene M Rentz; Maija Pihlajamaki; Gad Marshall; Bradley T Hyman; Dennis J Selkoe; Trey Hedden; Randy L Buckner; J Alex Becker; Keith A Johnson
Journal:  Neuron       Date:  2009-07-30       Impact factor: 17.173

Review 10.  The translocator protein as a drug target in Alzheimer's disease.

Authors:  Sook W Chua; Michael Kassiou; Lars M Ittner
Journal:  Expert Rev Neurother       Date:  2014-04       Impact factor: 4.618

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  19 in total

1.  An Exploratory Analysis of Potential New Biomarkers of Cognitive Function.

Authors:  Matthew J Peterson; Sheena Geoghegan; Larry W Lawhorne
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-02-15       Impact factor: 6.053

2.  Editorial: Preventive Trials for Alzheimer's Diseases: The Multi-domain and the Targeted Therapies Approaches Will Have to Be Associated.

Authors:  J Lin; B Dong; B Vellas
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

3.  Classification of MRI and psychological testing data based on support vector machine.

Authors:  Wenlu Yang; Xinyun Chen; David S Cohen; Eric R Rosin; Arthur W Toga; Paul M Thompson; Xudong Huang
Journal:  Int J Clin Exp Med       Date:  2017-12

Review 4.  Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.

Authors:  Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 5.  Performance-based and Observational Assessments in Clinical Trials Across the Alzheimer's Disease Spectrum.

Authors:  Philip D Harvey; Stephanie Cosentino; Rosie Curiel; Terry E Goldberg; Jeffrey Kaye; David Loewenstein; Daniel Marson; David Salmon; Keith Wesnes; Holly Posner
Journal:  Innov Clin Neurosci       Date:  2017-02-01

6.  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 7.  Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry.

Authors:  Piotr Lewczuk; Peter Riederer; Sid E O'Bryant; Marcel M Verbeek; Bruno Dubois; Pieter Jelle Visser; Kurt A Jellinger; Sebastiaan Engelborghs; Alfredo Ramirez; Lucilla Parnetti; Clifford R Jack; Charlotte E Teunissen; Harald Hampel; Alberto Lleó; Frank Jessen; Lidia Glodzik; Mony J de Leon; Anne M Fagan; José Luis Molinuevo; Willemijn J Jansen; Bengt Winblad; Leslie M Shaw; Ulf Andreasson; Markus Otto; Brit Mollenhauer; Jens Wiltfang; Martin R Turner; Inga Zerr; Ron Handels; Alexander G Thompson; Gunilla Johansson; Natalia Ermann; John Q Trojanowski; Ilker Karaca; Holger Wagner; Patrick Oeckl; Linda van Waalwijk van Doorn; Maria Bjerke; Dimitrios Kapogiannis; H Bea Kuiperij; Lucia Farotti; Yi Li; Brian A Gordon; Stéphane Epelbaum; Stephanie J B Vos; Catharina J M Klijn; William E Van Nostrand; Carolina Minguillon; Matthias Schmitz; Carla Gallo; Andrea Lopez Mato; Florence Thibaut; Simone Lista; Daniel Alcolea; Henrik Zetterberg; Kaj Blennow; Johannes Kornhuber
Journal:  World J Biol Psychiatry       Date:  2017-10-27       Impact factor: 4.132

Review 8.  Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic.

Authors:  Harald Hampel; Sid E O'Bryant; José L Molinuevo; Henrik Zetterberg; Colin L Masters; Simone Lista; Steven J Kiddle; Richard Batrla; Kaj Blennow
Journal:  Nat Rev Neurol       Date:  2018-11       Impact factor: 42.937

9.  Potential Indirect Mechanisms of Cognitive Enhancement After Long-Term Resistance Training in Older Adults.

Authors:  Timothy R Macaulay; Beth E Fisher; E Todd Schroeder
Journal:  Phys Ther       Date:  2020-06-23

Review 10.  Cerebrospinal Fluid Biomarkers for Alzheimer's Disease: A View of the Regulatory Science Qualification Landscape from the Coalition Against Major Diseases CSF Biomarker Team.

Authors:  Stephen P Arnerić; Richard Batrla-Utermann; Laurel Beckett; Tobias Bittner; Kaj Blennow; Leslie Carter; Robert Dean; Sebastiaan Engelborghs; Just Genius; Mark Forrest Gordon; Janice Hitchcock; June Kaplow; Johan Luthman; Richard Meibach; David Raunig; Klaus Romero; Mahesh N Samtani; Mary Savage; Leslie Shaw; Diane Stephenson; Robert M Umek; Hugo Vanderstichele; Brian Willis; Susan Yule
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

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