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Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence

Dysfunction of the neurovascular coupling unit may be an important contributor to dementia. The neurovascular coupling unit comprises neuronal structures (e.g. astrocytes) and vascular structures (e.g. endothelial cells) that functionally interact both at the level of the arterioles as well as at th...

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Autores principales: van der Heide, Frank C. T., van Sloten, Thomas T., Willekens, Nele, Stehouwer, Coen D. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727310/
https://www.ncbi.nlm.nih.gov/pubmed/36506058
http://dx.doi.org/10.3389/fendo.2022.1014287
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author van der Heide, Frank C. T.
van Sloten, Thomas T.
Willekens, Nele
Stehouwer, Coen D. A.
author_facet van der Heide, Frank C. T.
van Sloten, Thomas T.
Willekens, Nele
Stehouwer, Coen D. A.
author_sort van der Heide, Frank C. T.
collection PubMed
description Dysfunction of the neurovascular coupling unit may be an important contributor to dementia. The neurovascular coupling unit comprises neuronal structures (e.g. astrocytes) and vascular structures (e.g. endothelial cells) that functionally interact both at the level of the arterioles as well as at the capillary level (blood-brain barrier) to regulate optimal metabolic conditions in the brain. However, it remains unclear how and to what extent dysfunction of the neurovascular coupling unit contributes to the early-stage pathobiology of dementia. Currently, limited data are available on the association between neurovascular coupling unit dysfunction, as quantified by cerebral imaging techniques, and cognitive performance. In particular, there is a lack of population-based human data (defined as studies with a sample size ~n>500). This is an important limitation because population-based studies, in comparison with smaller clinical studies, provide data which is better representative of the general population; are less susceptible to selection bias; and have a larger statistical power to detect small associations. To acquire population-based data, however, alternative imaging techniques than cerebral imaging techniques may be required. Disadvantages of cerebral imaging techniques, which limit use in population-based studies, are that these techniques are relatively expensive, time-consuming, and/or invasive. In this review, we propose that retinal imaging techniques can be used for population-based studies: on the one hand the retina and brain have many anatomical and physiological similarities; and on the other hand retinal imaging techniques are non-invasive, highly accurate, relatively inexpensive, and require relatively short measurement time. To provide support for this concept, we provide an overview on the human (population-based) evidence on the associations of retinal indices of neurodegeneration, microvascular dysfunction, and dysfunction of the neurovascular coupling unit with magnetic resonance imaging (MRI) features of structural brain abnormalities and cognitive performance.
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spelling pubmed-97273102022-12-08 Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence van der Heide, Frank C. T. van Sloten, Thomas T. Willekens, Nele Stehouwer, Coen D. A. Front Endocrinol (Lausanne) Endocrinology Dysfunction of the neurovascular coupling unit may be an important contributor to dementia. The neurovascular coupling unit comprises neuronal structures (e.g. astrocytes) and vascular structures (e.g. endothelial cells) that functionally interact both at the level of the arterioles as well as at the capillary level (blood-brain barrier) to regulate optimal metabolic conditions in the brain. However, it remains unclear how and to what extent dysfunction of the neurovascular coupling unit contributes to the early-stage pathobiology of dementia. Currently, limited data are available on the association between neurovascular coupling unit dysfunction, as quantified by cerebral imaging techniques, and cognitive performance. In particular, there is a lack of population-based human data (defined as studies with a sample size ~n>500). This is an important limitation because population-based studies, in comparison with smaller clinical studies, provide data which is better representative of the general population; are less susceptible to selection bias; and have a larger statistical power to detect small associations. To acquire population-based data, however, alternative imaging techniques than cerebral imaging techniques may be required. Disadvantages of cerebral imaging techniques, which limit use in population-based studies, are that these techniques are relatively expensive, time-consuming, and/or invasive. In this review, we propose that retinal imaging techniques can be used for population-based studies: on the one hand the retina and brain have many anatomical and physiological similarities; and on the other hand retinal imaging techniques are non-invasive, highly accurate, relatively inexpensive, and require relatively short measurement time. To provide support for this concept, we provide an overview on the human (population-based) evidence on the associations of retinal indices of neurodegeneration, microvascular dysfunction, and dysfunction of the neurovascular coupling unit with magnetic resonance imaging (MRI) features of structural brain abnormalities and cognitive performance. Frontiers Media S.A. 2022-11-23 /pmc/articles/PMC9727310/ /pubmed/36506058 http://dx.doi.org/10.3389/fendo.2022.1014287 Text en Copyright © 2022 van der Heide, van Sloten, Willekens and Stehouwer https://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 Endocrinology
van der Heide, Frank C. T.
van Sloten, Thomas T.
Willekens, Nele
Stehouwer, Coen D. A.
Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title_full Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title_fullStr Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title_full_unstemmed Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title_short Neurovascular coupling unit dysfunction and dementia: Retinal measurements as tools to move towards population-based evidence
title_sort neurovascular coupling unit dysfunction and dementia: retinal measurements as tools to move towards population-based evidence
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727310/
https://www.ncbi.nlm.nih.gov/pubmed/36506058
http://dx.doi.org/10.3389/fendo.2022.1014287
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