Literature DB >> 21130138

Biomarkers for Alzheimer's disease therapeutic trials.

Harald Hampel1, Gordon Wilcock, Sandrine Andrieu, Paul Aisen, Kaj Blennow, K Broich, Maria Carrillo, Nick C Fox, Giovanni B Frisoni, Maria Isaac, Simon Lovestone, Agneta Nordberg, David Prvulovic, Christina Sampaio, Philip Scheltens, Michael Weiner, Bengt Winblad, Nicola Coley, Bruno Vellas.   

Abstract

The development of disease-modifying treatments for Alzheimer's disease requires innovative trials with large numbers of subjects and long observation periods. The use of blood, cerebrospinal fluid or neuroimaging biomarkers is critical for the demonstration of disease-modifying therapy effects on the brain. Suitable biomarkers are those which reflect the progression of AD related molecular mechanisms and neuropathology, including amyloidogenic processing and aggregation, hyperphosphorylation, accumulation of tau and neurofibrillary tangles, progressive functional, metabolic and structural decline, leading to neurodegeneration, loss of brain tissue and cognitive symptoms. Biomarkers should be used throughout clinical trial phases I-III of AD drug development. They can be used to enhance inclusion and exclusion criteria, or as baseline predictors to increase the statistical power of trials. Validated and qualified biomarkers may be used as outcome measures to detect treatment effects in pivotal clinical trials. Finally, biomarkers can be used to identify adverse effects. Questions regarding which biomarkers should be used in clinical trials, and how, are currently far from resolved. The Oxford Task Force continues and expands the work of our previous international expert task forces on disease-modifying trials and on endpoints for Alzheimer's disease clinical trials. The aim of this initiative was to bring together a selected number of key international opinion leaders and experts from academia, regulatory agencies and industry to condense the current knowledge and state of the art regarding the best use of biological markers in Alzheimer's disease therapy trials and to propose practical recommendations for the planning of future AD trials.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21130138     DOI: 10.1016/j.pneurobio.2010.11.005

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  43 in total

1.  Upward drift in cerebrospinal fluid amyloid β 42 assay values for more than 10 years.

Authors:  Suzanne E Schindler; Courtney L Sutphen; Charlotte Teunissen; Lena M McCue; John C Morris; David M Holtzman; Sandra D Mulder; Philip Scheltens; Chengjie Xiong; Anne M Fagan
Journal:  Alzheimers Dement       Date:  2017-07-12       Impact factor: 21.566

2.  Cerebrospinal fluid Aβ42, phosphorylated Tau181, and resting-state functional connectivity.

Authors:  Liang Wang; Matthew R Brier; Abraham Z Snyder; Jewell B Thomas; Anne M Fagan; Chengjie Xiong; Tammie L Benzinger; David M Holtzman; John C Morris; Beau M Ances
Journal:  JAMA Neurol       Date:  2013-10       Impact factor: 18.302

3.  Neurodegenerative disease biomarkers: guideposts for disease prevention through early diagnosis and intervention.

Authors:  John Q Trojanowski; Harald Hampel
Journal:  Prog Neurobiol       Date:  2011-07-23       Impact factor: 11.685

Review 4.  Staging Alzheimer's disease progression with multimodality neuroimaging.

Authors:  Michael Ewers; Giovanni B Frisoni; Stefan J Teipel; Lea T Grinberg; Edson Amaro; Helmut Heinsen; Paul M Thompson; Harald Hampel
Journal:  Prog Neurobiol       Date:  2011-06-22       Impact factor: 11.685

Review 5.  Bridging the efficacy-effectiveness gap: a regulator's perspective on addressing variability of drug response.

Authors:  Hans-Georg Eichler; Eric Abadie; Alasdair Breckenridge; Bruno Flamion; Lars L Gustafsson; Hubert Leufkens; Malcolm Rowland; Christian K Schneider; Brigitte Bloechl-Daum
Journal:  Nat Rev Drug Discov       Date:  2011-07-01       Impact factor: 84.694

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

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

7.  Prevention studies in Alzheimer's disease: progress towards the development of new therapeutics.

Authors:  Nicola Coley; Adeline Gallini; Sandrine Andrieu
Journal:  CNS Drugs       Date:  2015-07       Impact factor: 5.749

8.  Use of biomarkers and imaging to assess pathophysiology, mechanisms of action and target engagement.

Authors:  H Hampel; S Lista
Journal:  J Nutr Health Aging       Date:  2013-01       Impact factor: 4.075

9.  Was phenserine a failure or were investigators mislead by methods?

Authors:  Robert E Becker; Nigel H Greig
Journal:  Curr Alzheimer Res       Date:  2012-12       Impact factor: 3.498

10.  Microvascular perfusion based on arterial spin labeled perfusion MRI as a measure of vascular risk in Alzheimer's disease.

Authors:  Quan Zhang; Randall B Stafford; Ze Wang; Steven E Arnold; David A Wolk; John A Detre
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

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