Foveal remodeling of retinal microvasculature in Parkinson’s disease

[EN] Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular morphological features, their association with PD-related clinical vari...

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Autores: Murueta-Goyena Larrañaga, Ane, Barrenechea, Maitane, Erramuzpe Aliaga, Asier, Teijeira Portas, Sara, Pengo, Marta, Ayala Fernández, Unai, Romero Bascones, David, Acera, Marian, Del Pino Sáez, Rocío, Gómez Esteban, Juan Carlos, Gabilondo Cuellar, Iñigo
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/52689
Acceso en línea:http://hdl.handle.net/10810/52689
Access Level:acceso abierto
Palabra clave:neurodegeneration
angiography
capillary
density
Parkinson’s disease
retina
optical coherence tomography
biomarker
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dc.title.none.fl_str_mv Foveal remodeling of retinal microvasculature in Parkinson’s disease
title Foveal remodeling of retinal microvasculature in Parkinson’s disease
spellingShingle Foveal remodeling of retinal microvasculature in Parkinson’s disease
Murueta-Goyena Larrañaga, Ane
neurodegeneration
angiography
capillary
density
Parkinson’s disease
retina
optical coherence tomography
biomarker
title_short Foveal remodeling of retinal microvasculature in Parkinson’s disease
title_full Foveal remodeling of retinal microvasculature in Parkinson’s disease
title_fullStr Foveal remodeling of retinal microvasculature in Parkinson’s disease
title_full_unstemmed Foveal remodeling of retinal microvasculature in Parkinson’s disease
title_sort Foveal remodeling of retinal microvasculature in Parkinson’s disease
dc.creator.none.fl_str_mv Murueta-Goyena Larrañaga, Ane
Barrenechea, Maitane
Erramuzpe Aliaga, Asier
Teijeira Portas, Sara
Pengo, Marta
Ayala Fernández, Unai
Romero Bascones, David
Acera, Marian
Del Pino Sáez, Rocío
Gómez Esteban, Juan Carlos
Gabilondo Cuellar, Iñigo
author Murueta-Goyena Larrañaga, Ane
author_facet Murueta-Goyena Larrañaga, Ane
Barrenechea, Maitane
Erramuzpe Aliaga, Asier
Teijeira Portas, Sara
Pengo, Marta
Ayala Fernández, Unai
Romero Bascones, David
Acera, Marian
Del Pino Sáez, Rocío
Gómez Esteban, Juan Carlos
Gabilondo Cuellar, Iñigo
author_role author
author2 Barrenechea, Maitane
Erramuzpe Aliaga, Asier
Teijeira Portas, Sara
Pengo, Marta
Ayala Fernández, Unai
Romero Bascones, David
Acera, Marian
Del Pino Sáez, Rocío
Gómez Esteban, Juan Carlos
Gabilondo Cuellar, Iñigo
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv neurodegeneration
angiography
capillary
density
Parkinson’s disease
retina
optical coherence tomography
biomarker
topic neurodegeneration
angiography
capillary
density
Parkinson’s disease
retina
optical coherence tomography
biomarker
description [EN] Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular morphological features, their association with PD-related clinical variables and their potential use as diagnostic biomarkers has not been explored. Methods: We performed a cross-sectional study including 49 PD patients (87 eyes) and 40 controls (73 eyes). Retinal microvasculature was evaluated with Spectralis OCT-A and cognitive status with Montreal Cognitive Assessment. Unified PD Rating Scale and disease duration were recorded in patients. We extracted microvascular parameters from superficial and deep vascular plexuses of the macula, including the area and circularity of foveal avascular zone (FAZ), skeleton density, perfusion density, vessel perimeter index, vessel mean diameter, fractal dimension (FD) and lacunarity using Python and MATLAB. We compared the microvascular parameters between groups and explored their association with thickness of macular layers and clinical outcomes. Data were analyzed with General Estimating Equations (GEE) and adjusted for age, sex, and hypertension. Logistic regression GEE models were fitted to predict diagnosis of PD versus controls from microvascular, demographic, and clinical data. The discrimination ability of models was tested with receiver operating characteristic curves. Results: FAZ area was significantly smaller in patients compared to controls in superficial and deep plexuses, whereas perfusion density, skeleton density, FD and lacunarity of capillaries were increased in the foveal zone of PD. In the parafovea, microvascular parameters of superficial plexus were associated with ganglion cellinner plexiform layer thickness, but this was mainly driven by PD with mild cognitive impairment. No such associations were observed in controls. FAZ area was negatively associated with cognition in PD (non-adjusted models). Foveal lacunarity, combined with demographic and clinical confounding factors, yielded an outstanding diagnostic accuracy for discriminating PD patients from controls. Conclusion: Parkinson’s disease patients displayed foveal microvascular alterations causing an enlargement of the vascular bed surrounding FAZ. Parafoveal microvascular alterations were less pronounced but were related to inner retinal layer thinning. Retinal microvascular abnormalities helped discriminating PD from controls. All this supports OCT-A as a potential non-invasive biomarker to reveal vascular pathophysiology and improve diagnostic accuracy in PD.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/52689
url http://hdl.handle.net/10810/52689
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.frontiersin.org/articles/10.3389/fnins.2021.708700
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
Atribución 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Foveal remodeling of retinal microvasculature in Parkinson’s diseaseMurueta-Goyena Larrañaga, AneBarrenechea, MaitaneErramuzpe Aliaga, AsierTeijeira Portas, SaraPengo, MartaAyala Fernández, UnaiRomero Bascones, DavidAcera, MarianDel Pino Sáez, RocíoGómez Esteban, Juan CarlosGabilondo Cuellar, IñigoneurodegenerationangiographycapillarydensityParkinson’s diseaseretinaoptical coherence tomographybiomarker[EN] Background: Retinal microvascular alterations have been previously described in Parkinson’s disease (PD) patients using optical coherence tomography angiography (OCT-A). However, an extensive description of retinal vascular morphological features, their association with PD-related clinical variables and their potential use as diagnostic biomarkers has not been explored. Methods: We performed a cross-sectional study including 49 PD patients (87 eyes) and 40 controls (73 eyes). Retinal microvasculature was evaluated with Spectralis OCT-A and cognitive status with Montreal Cognitive Assessment. Unified PD Rating Scale and disease duration were recorded in patients. We extracted microvascular parameters from superficial and deep vascular plexuses of the macula, including the area and circularity of foveal avascular zone (FAZ), skeleton density, perfusion density, vessel perimeter index, vessel mean diameter, fractal dimension (FD) and lacunarity using Python and MATLAB. We compared the microvascular parameters between groups and explored their association with thickness of macular layers and clinical outcomes. Data were analyzed with General Estimating Equations (GEE) and adjusted for age, sex, and hypertension. Logistic regression GEE models were fitted to predict diagnosis of PD versus controls from microvascular, demographic, and clinical data. The discrimination ability of models was tested with receiver operating characteristic curves. Results: FAZ area was significantly smaller in patients compared to controls in superficial and deep plexuses, whereas perfusion density, skeleton density, FD and lacunarity of capillaries were increased in the foveal zone of PD. In the parafovea, microvascular parameters of superficial plexus were associated with ganglion cellinner plexiform layer thickness, but this was mainly driven by PD with mild cognitive impairment. No such associations were observed in controls. FAZ area was negatively associated with cognition in PD (non-adjusted models). Foveal lacunarity, combined with demographic and clinical confounding factors, yielded an outstanding diagnostic accuracy for discriminating PD patients from controls. Conclusion: Parkinson’s disease patients displayed foveal microvascular alterations causing an enlargement of the vascular bed surrounding FAZ. Parafoveal microvascular alterations were less pronounced but were related to inner retinal layer thinning. Retinal microvascular abnormalities helped discriminating PD from controls. All this supports OCT-A as a potential non-invasive biomarker to reveal vascular pathophysiology and improve diagnostic accuracy in PD.This study was partially co-funded by the Instituto de Salud Carlos III through the projects PI14/00679 and PI16/00005 (co-funded by European Regional Development Fund/European Social Fund “A way to make Europe”/“Investing in your future”), and by the Department of Health of the Basque Government through the projects “2019111100” and “2020333033”.Frontiers Media202120212021info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/52689reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://www.frontiersin.org/articles/10.3389/fnins.2021.708700info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/© 2021 Murueta-Goyena, Barrenechea, Erramuzpe, Teijeira-Portas, Pengo, Ayala, Romero-Bascones, Acera, Del Pino, Gómez-Esteban and Gabilondo. 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.Atribución 3.0 Españaoai:addi.ehu.eus:10810/526892026-06-18T09:23:17Z
score 15.300724