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Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease
Objective: Several models have been proposed for the evolution of Alzheimer’s disease (AD) biomarkers. The aim of this study was to identify changepoints in a range of biomarkers during the preclinical phase of AD. Methods: We examined nine measures based on cerebrospinal fluid (CSF), magnetic reson...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454004/ https://www.ncbi.nlm.nih.gov/pubmed/31001108 http://dx.doi.org/10.3389/fnagi.2019.00074 |
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author | Younes, Laurent Albert, Marilyn Moghekar, Abhay Soldan, Anja Pettigrew, Corinne Miller, Michael I. |
author_facet | Younes, Laurent Albert, Marilyn Moghekar, Abhay Soldan, Anja Pettigrew, Corinne Miller, Michael I. |
author_sort | Younes, Laurent |
collection | PubMed |
description | Objective: Several models have been proposed for the evolution of Alzheimer’s disease (AD) biomarkers. The aim of this study was to identify changepoints in a range of biomarkers during the preclinical phase of AD. Methods: We examined nine measures based on cerebrospinal fluid (CSF), magnetic resonance imaging (MRI) and cognitive testing, obtained from 306 cognitively normal individuals, a subset of whom subsequently progressed to the symptomatic phase of AD. A changepoint model was used to determine which of the measures had a significant change in slope in relation to clinical symptom onset. Results: All nine measures had significant changepoints, all of which preceded symptom onset, however, the timing of these changepoints varied considerably. A single measure, CSF t-tau, had an early changepoint (34 years prior to symptom onset). A group of measures, including the remaining CSF measures (CSF Abeta and phosphorylated tau) and all cognitive tests had changepoints 10–15 years prior to symptom onset. A second group is formed by medial temporal lobe shape composite measures, with a 6-year time difference between the right and left side (respectively nine and 3 years prior to symptom onset). Conclusion: These findings highlight the long period of time prior to symptom onset during which AD pathology is accumulating in the brain. There are several significant findings, including the early changes in cognition and the laterality of the MRI findings. Additional work is needed to clarify their significance. |
format | Online Article Text |
id | pubmed-6454004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64540042019-04-18 Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease Younes, Laurent Albert, Marilyn Moghekar, Abhay Soldan, Anja Pettigrew, Corinne Miller, Michael I. Front Aging Neurosci Neuroscience Objective: Several models have been proposed for the evolution of Alzheimer’s disease (AD) biomarkers. The aim of this study was to identify changepoints in a range of biomarkers during the preclinical phase of AD. Methods: We examined nine measures based on cerebrospinal fluid (CSF), magnetic resonance imaging (MRI) and cognitive testing, obtained from 306 cognitively normal individuals, a subset of whom subsequently progressed to the symptomatic phase of AD. A changepoint model was used to determine which of the measures had a significant change in slope in relation to clinical symptom onset. Results: All nine measures had significant changepoints, all of which preceded symptom onset, however, the timing of these changepoints varied considerably. A single measure, CSF t-tau, had an early changepoint (34 years prior to symptom onset). A group of measures, including the remaining CSF measures (CSF Abeta and phosphorylated tau) and all cognitive tests had changepoints 10–15 years prior to symptom onset. A second group is formed by medial temporal lobe shape composite measures, with a 6-year time difference between the right and left side (respectively nine and 3 years prior to symptom onset). Conclusion: These findings highlight the long period of time prior to symptom onset during which AD pathology is accumulating in the brain. There are several significant findings, including the early changes in cognition and the laterality of the MRI findings. Additional work is needed to clarify their significance. Frontiers Media S.A. 2019-04-02 /pmc/articles/PMC6454004/ /pubmed/31001108 http://dx.doi.org/10.3389/fnagi.2019.00074 Text en Copyright © 2019 Younes, Albert, Moghekar, Soldan, Pettigrew and Miller. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Younes, Laurent Albert, Marilyn Moghekar, Abhay Soldan, Anja Pettigrew, Corinne Miller, Michael I. Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title | Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title_full | Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title_fullStr | Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title_full_unstemmed | Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title_short | Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease |
title_sort | identifying changepoints in biomarkers during the preclinical phase of alzheimer’s disease |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454004/ https://www.ncbi.nlm.nih.gov/pubmed/31001108 http://dx.doi.org/10.3389/fnagi.2019.00074 |
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