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Nonvascular retinal imaging markers of preclinical Alzheimer's disease
INTRODUCTION: In patients with Alzheimer's disease (AD) and mild cognitive impairment, structural changes in the retina (i.e., reduced thicknesses of the ganglion cell and retinal nerve fiber layers and inclusion bodies that appear to contain beta-amyloid protein [Ab]) have been previously repo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078641/ https://www.ncbi.nlm.nih.gov/pubmed/27830174 http://dx.doi.org/10.1016/j.dadm.2016.09.001 |
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author | Snyder, Peter J. Johnson, Lenworth N. Lim, Yen Ying Santos, Cláudia Y. Alber, Jessica Maruff, Paul Fernández, Brian |
author_facet | Snyder, Peter J. Johnson, Lenworth N. Lim, Yen Ying Santos, Cláudia Y. Alber, Jessica Maruff, Paul Fernández, Brian |
author_sort | Snyder, Peter J. |
collection | PubMed |
description | INTRODUCTION: In patients with Alzheimer's disease (AD) and mild cognitive impairment, structural changes in the retina (i.e., reduced thicknesses of the ganglion cell and retinal nerve fiber layers and inclusion bodies that appear to contain beta-amyloid protein [Ab]) have been previously reported. We sought to explore whether anatomic retinal changes are detectable in the preclinical stage of AD. METHODS: A cross-sectional study (as part of an ongoing longitudinal cohort study) involving 63 cognitively normal adults, all of whom have a parent with AD and subjective memory complaints. We compared neocortical amyloid aggregation (florbetapir PET imaging) to retinal spectral domain optical coherence tomography (SD-OCT) markers of possible disease burden. Retinal biomarkers, including the number and surface area of retinal inclusion bodies and the thickness of retinal neuronal layers, were compared across groups with high vs. low neocortical beta-amyloid load. RESULTS: The surface area of inclusion bodies increased as a function of cortical amyloid burden. Additionally, there was a trend toward a selective volume increase in the inner plexiform layer (IPL; a layer rich in cholinergic activity) of the retina in Aβ+ relative to Aβ− participants, and IPL volume was correlated with the surface area of retinal inclusion bodies. DISCUSSION: These initial results suggest that retinal imaging may be a potential cost-effective and noninvasive technique that can be used to identify those at-risk for AD. Layer-specific changes in the IPL and their association with surface area of inclusion bodies are discussed as a possible reflection of early inflammatory processes associated with cholinergic disruption and concurrent Ab accumulation in the neocortex. |
format | Online Article Text |
id | pubmed-5078641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50786412016-11-09 Nonvascular retinal imaging markers of preclinical Alzheimer's disease Snyder, Peter J. Johnson, Lenworth N. Lim, Yen Ying Santos, Cláudia Y. Alber, Jessica Maruff, Paul Fernández, Brian Alzheimers Dement (Amst) Retinal Imaging INTRODUCTION: In patients with Alzheimer's disease (AD) and mild cognitive impairment, structural changes in the retina (i.e., reduced thicknesses of the ganglion cell and retinal nerve fiber layers and inclusion bodies that appear to contain beta-amyloid protein [Ab]) have been previously reported. We sought to explore whether anatomic retinal changes are detectable in the preclinical stage of AD. METHODS: A cross-sectional study (as part of an ongoing longitudinal cohort study) involving 63 cognitively normal adults, all of whom have a parent with AD and subjective memory complaints. We compared neocortical amyloid aggregation (florbetapir PET imaging) to retinal spectral domain optical coherence tomography (SD-OCT) markers of possible disease burden. Retinal biomarkers, including the number and surface area of retinal inclusion bodies and the thickness of retinal neuronal layers, were compared across groups with high vs. low neocortical beta-amyloid load. RESULTS: The surface area of inclusion bodies increased as a function of cortical amyloid burden. Additionally, there was a trend toward a selective volume increase in the inner plexiform layer (IPL; a layer rich in cholinergic activity) of the retina in Aβ+ relative to Aβ− participants, and IPL volume was correlated with the surface area of retinal inclusion bodies. DISCUSSION: These initial results suggest that retinal imaging may be a potential cost-effective and noninvasive technique that can be used to identify those at-risk for AD. Layer-specific changes in the IPL and their association with surface area of inclusion bodies are discussed as a possible reflection of early inflammatory processes associated with cholinergic disruption and concurrent Ab accumulation in the neocortex. Elsevier 2016-10-01 /pmc/articles/PMC5078641/ /pubmed/27830174 http://dx.doi.org/10.1016/j.dadm.2016.09.001 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Retinal Imaging Snyder, Peter J. Johnson, Lenworth N. Lim, Yen Ying Santos, Cláudia Y. Alber, Jessica Maruff, Paul Fernández, Brian Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title | Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title_full | Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title_fullStr | Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title_full_unstemmed | Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title_short | Nonvascular retinal imaging markers of preclinical Alzheimer's disease |
title_sort | nonvascular retinal imaging markers of preclinical alzheimer's disease |
topic | Retinal Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078641/ https://www.ncbi.nlm.nih.gov/pubmed/27830174 http://dx.doi.org/10.1016/j.dadm.2016.09.001 |
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