Alzheimer's Prevention Initiative: A Plan to Accelerate the Evaluation of Presymptomatic Treatments
There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments...
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Published in | Journal of Alzheimer's disease Vol. 26; no. s3; pp. 321 - 329 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
01.01.2011
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Subjects | |
Online Access | Get full text |
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Abstract | There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments using clinical endpoints. We have used brain imaging and other measurements to track some of the earliest changes associated with the predisposition to AD. We have proposed the Alzheimer's Prevention Initiative (API) to evaluate investigational amyloid-modifying treatments in healthy people who, based on their age and genetic background, are at the highest imminent risk of developing symptomatic AD using brain imaging, cerebrospinal fluid (CSF), and cognitive endpoints. In one trial, we propose to study AD-causing presenilin 1 [PS1] mutation carriers from the world's largest early-onset AD kindred in Antioquia, Colombia, close to their estimated average age at clinical onset. In another trial, we propose to study apolipoprotein E (APOE) ε4 homozygotes (and possibly heterozygotes) close to their estimated average age at clinical onset. The API has several goals: 1) to evaluate investigational AD-modifying treatments sooner than otherwise possible; 2) to determine the extent to which the treatment's brain imaging and other biomarker effects predict a clinical benefit—information needed to help qualify biomarker endpoints for use in pivotal prevention trials; 3) to provide a better test of the amyloid hypothesis than clinical trials in symptomatic patients, when these treatments may be too little too late to exert their most profound effect; 4) to establish AD prevention registries needed to support these and other presymptomatic AD trials; and 5) to give those individuals at highest imminent risk of AD symptoms access to the most promising investigational treatments in clinical trials. |
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AbstractList | There is an urgent need to find effective presymptomatic Alzheimer’s disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments using clinical endpoints. We have used brain imaging and other measurements to track some of the earliest changes associated with the predisposition to AD. We have proposed the Alzheimer’s Prevention Initiative (API) to evaluate investigational amyloid-modifying treatments in healthy people who, based on their age and genetic background, are at the highest imminent risk of developing symptomatic AD using brain imaging, cerebrospinal fluid (CSF), and cognitive endpoints. In one trial, we propose to study AD-causing
presenilin 1
[
PS1
] mutation carriers from the world’s largest early-onset AD kindred in Antioquia, Colombia, close to their estimated average age at clinical onset. In another trial, we propose to study
apolipoprotein E
(
APOE
)
ε4
homozygotes (and possibly heterozygotes) close to their estimated average age at clinical onset. The API has several goals: 1) to evaluate investigational AD-modifying treatments sooner than otherwise possible; 2) to determine the extent to which the treatment’s brain imaging and other biomarker effects predict a clinical benefit—information needed to help qualify biomarker endpoints for use in pivotal prevention trials; 3) to provide a better test of the amyloid hypothesis than clinical trials in symptomatic patients, when these treatments may be too little too late to exert their most profound effect; 4) to establish AD prevention registries needed to support these and other presymptomatic AD trials; and 5) to give those individuals at highest imminent risk of AD symptoms access to the most promising investigational treatments in clinical trials. There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments using clinical endpoints. We have used brain imaging and other measurements to track some of the earliest changes associated with the predisposition to AD. We have proposed the Alzheimer's Prevention Initiative (API) to evaluate investigational amyloid-modifying treatments in healthy people who, based on their age and genetic background, are at the highest imminent risk of developing symptomatic AD using brain imaging, cerebrospinal fluid (CSF), and cognitive endpoints. In one trial, we propose to study AD-causing presenilin 1 [PS1] mutation carriers from the world's largest early-onset AD kindred in Antioquia, Colombia, close to their estimated average age at clinical onset. In another trial, we propose to study apolipoprotein E (APOE) ε4 homozygotes (and possibly heterozygotes) close to their estimated average age at clinical onset. The API has several goals: 1) to evaluate investigational AD-modifying treatments sooner than otherwise possible; 2) to determine the extent to which the treatment's brain imaging and other biomarker effects predict a clinical benefit-information needed to help qualify biomarker endpoints for use in pivotal prevention trials; 3) to provide a better test of the amyloid hypothesis than clinical trials in symptomatic patients, when these treatments may be too little too late to exert their most profound effect; 4) to establish AD prevention registries needed to support these and other presymptomatic AD trials; and 5) to give those individuals at highest imminent risk of AD symptoms access to the most promising investigational treatments in clinical trials.There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments using clinical endpoints. We have used brain imaging and other measurements to track some of the earliest changes associated with the predisposition to AD. We have proposed the Alzheimer's Prevention Initiative (API) to evaluate investigational amyloid-modifying treatments in healthy people who, based on their age and genetic background, are at the highest imminent risk of developing symptomatic AD using brain imaging, cerebrospinal fluid (CSF), and cognitive endpoints. In one trial, we propose to study AD-causing presenilin 1 [PS1] mutation carriers from the world's largest early-onset AD kindred in Antioquia, Colombia, close to their estimated average age at clinical onset. In another trial, we propose to study apolipoprotein E (APOE) ε4 homozygotes (and possibly heterozygotes) close to their estimated average age at clinical onset. The API has several goals: 1) to evaluate investigational AD-modifying treatments sooner than otherwise possible; 2) to determine the extent to which the treatment's brain imaging and other biomarker effects predict a clinical benefit-information needed to help qualify biomarker endpoints for use in pivotal prevention trials; 3) to provide a better test of the amyloid hypothesis than clinical trials in symptomatic patients, when these treatments may be too little too late to exert their most profound effect; 4) to establish AD prevention registries needed to support these and other presymptomatic AD trials; and 5) to give those individuals at highest imminent risk of AD symptoms access to the most promising investigational treatments in clinical trials. There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It currently takes too many healthy people, too much money and too many years to evaluate the range of promising presymptomatic treatments using clinical endpoints. We have used brain imaging and other measurements to track some of the earliest changes associated with the predisposition to AD. We have proposed the Alzheimer's Prevention Initiative (API) to evaluate investigational amyloid-modifying treatments in healthy people who, based on their age and genetic background, are at the highest imminent risk of developing symptomatic AD using brain imaging, cerebrospinal fluid (CSF), and cognitive endpoints. In one trial, we propose to study AD-causing presenilin 1 [PS1] mutation carriers from the world's largest early-onset AD kindred in Antioquia, Colombia, close to their estimated average age at clinical onset. In another trial, we propose to study apolipoprotein E (APOE) ε4 homozygotes (and possibly heterozygotes) close to their estimated average age at clinical onset. The API has several goals: 1) to evaluate investigational AD-modifying treatments sooner than otherwise possible; 2) to determine the extent to which the treatment's brain imaging and other biomarker effects predict a clinical benefit—information needed to help qualify biomarker endpoints for use in pivotal prevention trials; 3) to provide a better test of the amyloid hypothesis than clinical trials in symptomatic patients, when these treatments may be too little too late to exert their most profound effect; 4) to establish AD prevention registries needed to support these and other presymptomatic AD trials; and 5) to give those individuals at highest imminent risk of AD symptoms access to the most promising investigational treatments in clinical trials. |
Author | Chen, Kewei Tariot, Pierre N. Langbaum, Jessica B.S. Reiman, Eric M. Quiroz, Yakeel T. Lopera, Francisco Ayutyanont, Napatkamon Fleisher, Adam S. Caselli, Richard J. Kosik, Kenneth S. |
AuthorAffiliation | a Banner Alzheimer’s Institute, Phoenix, Arizona, USA e University of California San Diego, USA j Neuroscience Research Institute, Department of Molecular Cellular Developmental Biology, University of California Santa Barbara, USA d Arizona Alzheimer’s Consortium, Phoenix, Arizona, USA i Department of Psychology, Center for Memory and Brain, Boston University, Massachusetts, USA k Neuroscience Group, University of Antioquia, Medellin, Colombia b Department of Psychiatry, University of Arizona, Tucson, Arizona, USA c Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA h Department of Mathematics and Statistics, Arizona State University, Tempe, Arizona, USA f Alzheimer’s Disease Cooperative Study (ADCS), San Diego, California, USA g Department of Neurology, Mayo Clinic Arizona, Scottsdale, Arizona; USA |
AuthorAffiliation_xml | – name: h Department of Mathematics and Statistics, Arizona State University, Tempe, Arizona, USA – name: e University of California San Diego, USA – name: b Department of Psychiatry, University of Arizona, Tucson, Arizona, USA – name: d Arizona Alzheimer’s Consortium, Phoenix, Arizona, USA – name: a Banner Alzheimer’s Institute, Phoenix, Arizona, USA – name: c Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA – name: j Neuroscience Research Institute, Department of Molecular Cellular Developmental Biology, University of California Santa Barbara, USA – name: f Alzheimer’s Disease Cooperative Study (ADCS), San Diego, California, USA – name: k Neuroscience Group, University of Antioquia, Medellin, Colombia – name: g Department of Neurology, Mayo Clinic Arizona, Scottsdale, Arizona; USA – name: i Department of Psychology, Center for Memory and Brain, Boston University, Massachusetts, USA |
Author_xml | – sequence: 1 givenname: Eric M. surname: Reiman fullname: Reiman, Eric M. email: eric.reiman@bannerhealth.com organization: Neuroscience Group – sequence: 2 givenname: Jessica B.S. surname: Langbaum fullname: Langbaum, Jessica B.S. organization: Neuroscience Group – sequence: 3 givenname: Adam S. surname: Fleisher fullname: Fleisher, Adam S. organization: Neuroscience Group – sequence: 4 givenname: Richard J. surname: Caselli fullname: Caselli, Richard J. organization: Neuroscience Group – sequence: 5 givenname: Kewei surname: Chen fullname: Chen, Kewei organization: Neuroscience Group – sequence: 6 givenname: Napatkamon surname: Ayutyanont fullname: Ayutyanont, Napatkamon organization: Neuroscience Group – sequence: 7 givenname: Yakeel T. surname: Quiroz fullname: Quiroz, Yakeel T. organization: Neuroscience Group – sequence: 8 givenname: Kenneth S. surname: Kosik fullname: Kosik, Kenneth S. organization: Neuroscience Group – sequence: 9 givenname: Francisco surname: Lopera fullname: Lopera, Francisco organization: Neuroscience Group – sequence: 10 givenname: Pierre N. surname: Tariot fullname: Tariot, Pierre N. organization: Neuroscience Group |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21971471$$D View this record in MEDLINE/PubMed |
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Copyright | 2011 ‒ IOS Press and the authors. All rights reserved |
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Keywords | Brain imaging surrogate markers biomarkers cerebral spinal fluid apolipoprotein E presenilin 1 presymptomatic Alzheimer's disease early-onset Alzheimer's disease clinical trials late-onset Alzheimer's disease |
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PublicationTitle | Journal of Alzheimer's disease |
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Snippet | There is an urgent need to find effective presymptomatic Alzheimer's disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It... There is an urgent need to find effective presymptomatic Alzheimer’s disease (AD) treatments that reduce the risk of AD symptoms or prevent them completely. It... |
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SubjectTerms | Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - genetics Alzheimer Disease - pathology Alzheimer Disease - prevention & control Brain - pathology Early Diagnosis Humans Magnetic Resonance Imaging |
Title | Alzheimer's Prevention Initiative: A Plan to Accelerate the Evaluation of Presymptomatic Treatments |
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