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Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study

Retinal assessments have been discussed as biomarkers for brain atrophy. However, available studies did not investigate all retinal layers due to older technology, reported inconsistent results, or were based on small sample sizes. We included 2872 eligible participants of the Rhineland Study with d...

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Autores principales: Mauschitz, Matthias M., Lohner, Valerie, Koch, Alexandra, Stöcker, Tony, Reuter, Martin, Holz, Frank G., Finger, Robert P., Breteler, Monique M. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854401/
https://www.ncbi.nlm.nih.gov/pubmed/35177781
http://dx.doi.org/10.1038/s41598-022-06821-4
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author Mauschitz, Matthias M.
Lohner, Valerie
Koch, Alexandra
Stöcker, Tony
Reuter, Martin
Holz, Frank G.
Finger, Robert P.
Breteler, Monique M. B.
author_facet Mauschitz, Matthias M.
Lohner, Valerie
Koch, Alexandra
Stöcker, Tony
Reuter, Martin
Holz, Frank G.
Finger, Robert P.
Breteler, Monique M. B.
author_sort Mauschitz, Matthias M.
collection PubMed
description Retinal assessments have been discussed as biomarkers for brain atrophy. However, available studies did not investigate all retinal layers due to older technology, reported inconsistent results, or were based on small sample sizes. We included 2872 eligible participants of the Rhineland Study with data on spectral domain–optical coherence tomography (SD–OCT) and brain magnetic resonance imaging (MRI). We used multiple linear regression to examine relationships between retinal measurements and volumetric brain measures as well as fractional anisotropy (FA) as measure of microstructural integrity of white matter (WM) for different brain regions. Mean (SD) age was 53.8 ± 13.2 years (range 30–94) and 57% were women. Volumes of the inner retina were associated with total brain and grey matter (GM) volume, and even stronger with WM volume and FA. In contrast, the outer retina was mainly associated with GM volume, while both, inner and outer retina, were associated with hippocampus volume. While we extend previously reported associations between the inner retina and brain measures, we found additional associations of the outer retina with parts of the brain. This indicates that easily accessible retinal SD-OCT assessments may serve as biomarkers for clinical monitoring of neurodegenerative diseases and merit further research.
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spelling pubmed-88544012022-02-18 Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study Mauschitz, Matthias M. Lohner, Valerie Koch, Alexandra Stöcker, Tony Reuter, Martin Holz, Frank G. Finger, Robert P. Breteler, Monique M. B. Sci Rep Article Retinal assessments have been discussed as biomarkers for brain atrophy. However, available studies did not investigate all retinal layers due to older technology, reported inconsistent results, or were based on small sample sizes. We included 2872 eligible participants of the Rhineland Study with data on spectral domain–optical coherence tomography (SD–OCT) and brain magnetic resonance imaging (MRI). We used multiple linear regression to examine relationships between retinal measurements and volumetric brain measures as well as fractional anisotropy (FA) as measure of microstructural integrity of white matter (WM) for different brain regions. Mean (SD) age was 53.8 ± 13.2 years (range 30–94) and 57% were women. Volumes of the inner retina were associated with total brain and grey matter (GM) volume, and even stronger with WM volume and FA. In contrast, the outer retina was mainly associated with GM volume, while both, inner and outer retina, were associated with hippocampus volume. While we extend previously reported associations between the inner retina and brain measures, we found additional associations of the outer retina with parts of the brain. This indicates that easily accessible retinal SD-OCT assessments may serve as biomarkers for clinical monitoring of neurodegenerative diseases and merit further research. Nature Publishing Group UK 2022-02-17 /pmc/articles/PMC8854401/ /pubmed/35177781 http://dx.doi.org/10.1038/s41598-022-06821-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mauschitz, Matthias M.
Lohner, Valerie
Koch, Alexandra
Stöcker, Tony
Reuter, Martin
Holz, Frank G.
Finger, Robert P.
Breteler, Monique M. B.
Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title_full Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title_fullStr Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title_full_unstemmed Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title_short Retinal layer assessments as potential biomarkers for brain atrophy in the Rhineland Study
title_sort retinal layer assessments as potential biomarkers for brain atrophy in the rhineland study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854401/
https://www.ncbi.nlm.nih.gov/pubmed/35177781
http://dx.doi.org/10.1038/s41598-022-06821-4
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