Evidence map›Paper›PMID 26478889›Full record

ArticleThe journal of prevention of Alzheimer's disease2014

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 Cavedo, S Lista, Z Khachaturian, P Aisen, P Amouyel, K Herholz, C R Jack, R Sperling, J Cummings, K Blennow and 21 more

2 registry-linked trialsAbstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02835716 unknown statusnot on this mapstarted 2016, after this paper: background citation

Pre-Clinical Alzheimer's (ALZ) Diagnosis (PCD) = Optimum Outcomes (OO)

Typeobservational_patient_registrySponsorMillennium Magnetic Technologies, LLCRan2016 to 2020Enrolled150ConditionsAlzheimer DiseaseArmsroflumilast, ustekinumab
NCT02843529 nacompletednot on this mapstarted 2016, after this paper: background citation

Evaluation of a Computerized Complex Instrumental Activities of Daily Living Marker (NMI) as a Pre-Clinical or Pro-Dromal Alzheimers Diagnosis (Prognosis) for Optimum Outcomes

TypeinterventionalSponsorAltoidaRan2016 to 2020Enrolled548ConditionsAlzheimer Disease, Mild Cognitive Impairment, Memory Disorders, Cognitive ImpairmentArmsAltoida: neuropsychological, MRI, EEG and CSF biomarkers
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Trial
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  9. An Exploratory Analysis of Potential New Biomarkers of Cognitive Function.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  10. Article
  11. Review
  12. Review
  13. Precision pharmacology for Alzheimer's disease.Pharmacological research · 2018
    Review
  14. Article
  15. Review
  16. Review
  17. Computer-assisted prediction of clinical progression in the earliest stages of AD.Alzheimer's & dementia (Amsterdam, Netherlands) · 2018
    Article
  18. Classification of MRI and psychological testing data based on support vector machine.International journal of clinical and experimental medicine · 2017
    Article
  19. Article
  20. A user's guide for α-synuclein biomarker studies in biological fluids: Perianalytical considerations.Movement disorders : official journal of the Movement Disorder Society · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

E CavedoSorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) Hôpital de la Pitié-Salpétrière & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Hôpital de la Pitié-Salpétrière Paris & CATI multicenter neuroimaging platform, France; Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli Brescia, Italy.
S ListaAXA Research Fund & UPMC Chair; Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) Hôpital de la Pitié-Salpétrière & Inserm U1127 Institut du Cerveau et de la Moelle épinière (ICM), Hôpital de la Pitié-Salpétrière Paris, France.
Z KhachaturianThe Campaign to Prevent Alzheimer's Disease by 2020 (PAD2020), Potomac, MD, USA.
P AisenDepartment of Neurosciences, University of California San Diego, San Diego, CA, USA.
P AmouyelInserm, U744, Lille, 59000, France; Université Lille 2, Lille, 59000, France; Institut Pasteur de Lille, Lille, 59000, France; Centre Hospitalier Régional Universitaire de Lille, Lille, 59000, France.
K HerholzInstitute of Brain, Behaviour and Mental Health, University of Manchester, UK.
C R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
R SperlingCenter for Alzheimer Research and Treatment, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
J CummingsCleveland Clinic Lou Ruvo Center for Brain Health, 888 West Bonneville Avenue, Las Vegas, Nevada 89106, USA.
K BlennowClinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
S O'BryantDepartment of Internal Medicine, Institute for Aging & Alzheimer's Disease Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
G B FrisoniIRCCS Istituto Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva, Geneva, Switzerland.
A KhachaturianExecutive Editor, Alzheimer's & Dementia.
M KivipeltoKarolinska Institutet Alzheimer Research Center, NVS, Stockholm, Sweden.
W KlunkDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA; Department of Neurology, University of Pittsburgh School of Medicine, USA.
K BroichFederal Institute of Drugs and Medical Devices (BfArM), Bonn, Germany.
S AndrieuInserm UMR1027, Université de Toulouse III Paul Sabatier, Toulouse, France; Public health department, CHU de Toulouse.
M Thiebaut de SchottenNatbrainlab, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, King's College London, London, UK; Université Pierre et Marie Curie-Paris 6, Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (ICM), UMRS 1127 Paris, France; Inserm, U 1127, Paris, France; CNRS, UMR 7225, Paris, France.
J-F ManginCEA UNATI, Neurospin, CEA Gif-sur-Yvette, France & CATI multicenter neuroimaging platform.
A A LammertsmaDepartment of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.
K JohnsonDepartments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
S TeipelDepartment of Psychosomatic Medicine, University of Rostock, and DZNE, German Center for Neurodegenerative Diseases, Rostock, Germany.
A DrzezgaDepartment of Nuclear Medicine, University Hospital of Cologne, Cologne Germany.
A BokdeCognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
O ColliotSorbonne Universités, UPMC Univ Paris 06, UMR S 1127, F-75013, Paris, France; Institut du Cerveau et de la Moelle épinière, ICM, Inserm, U1127, F-75013, Paris, France; CNRS, UMR 7225 ICM, 75013, Paris, France; Inria, Aramis project-team, Centre de Recherche Paris-Rocquencourt, France.
H BakardjianInstitute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpétrière University Hospital, Paris, France; IHU-A-ICM - Paris Institute of Translational Neurosciences, Paris, France.
H ZetterbergClinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; UCL Institute of Neurology, Queen Square, London, UK.
B DuboisSorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) Hôpital de la Pitié-Salpétrière & Inserm U1127 Institut du Cerveau et de la Moelle épinière (ICM), Hôpital de la Pitié-Salpétrière Paris, France.
B VellasInserm UMR1027, University of Toulouse, Toulouse, France.
L S SchneiderKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
H HampelAXA Research Fund & UPMC Chair; Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) Hôpital de la Pitié-Salpétrière & Inserm U1127 Institut du Cerveau et de la Moelle épinière (ICM), Hôpital de la Pitié-Salpétrière Paris, France.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TRIAL OF VALPROATE TO ATTENUATE THE PROGRESSION OF ADU01AG010483 · NIA · UNIVERSITY OF ROCHESTER · PI AISEN, PAUL S. · 1991 to 2012
$116.2M
Vascular Moderators of the Impact of Alzheimer's Pathology in the Young-OldP01AG025204 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Ann D. Cohen · 2005 to 2026
$56.5M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
ROLE OF GLUTAMATE IN ALZHEIMER'S DISEASEP30AG012300 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI ROSENBERG, ROGER NEWMAN · 1994 to 2016
$26.6M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyRF1AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, VILLEMAGNE, VICTOR LUIS · 2014 to 2021
$9.0M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
AMYLOID PATHOLOGY AND COGNITION IN NORMAL ELDERLYR37AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KLUNK, WILLIAM E · 2005 to 2014
$4.3M
NHLBI NIH HHS U01 HL096917NIA NIH HHS P01 AG025204NIA NIH HHS P30 AG012300NIA NIH HHS P50 AG005133NIA NIH HHS P50 AG005142NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG037551NIA NIH HHS R01 AG039389NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG043392NIA NIH HHS R37 AG025516NIA NIH HHS RF1 AG025516NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG010483NIA NIH HHS U01 AG024904
6 · The paper itself

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.

Indexed as

Alzheimer’s diseasebiomarkersmolecular imagingneuroimagingprevention trials

Identifiers

PMID26478889
PMCPMC4606938

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.