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Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation

Impaired blood flow and oxygenation contribute to many ocular pathologies, including glaucoma. Here, a mathematical model is presented that combines an image-based heterogeneous representation of retinal arterioles with a compartmental description of capillaries and venules. The arteriolar model of...

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Autores principales: Arciero, Julia, Fry, Brendan, Albright, Amanda, Mattingly, Grace, Scanlon, Hannah, Abernathy, Mandy, Siesky, Brent, Vercellin, Alice Verticchio, Harris, Alon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432847/
https://www.ncbi.nlm.nih.gov/pubmed/36052288
http://dx.doi.org/10.3390/photonics8100409
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author Arciero, Julia
Fry, Brendan
Albright, Amanda
Mattingly, Grace
Scanlon, Hannah
Abernathy, Mandy
Siesky, Brent
Vercellin, Alice Verticchio
Harris, Alon
author_facet Arciero, Julia
Fry, Brendan
Albright, Amanda
Mattingly, Grace
Scanlon, Hannah
Abernathy, Mandy
Siesky, Brent
Vercellin, Alice Verticchio
Harris, Alon
author_sort Arciero, Julia
collection PubMed
description Impaired blood flow and oxygenation contribute to many ocular pathologies, including glaucoma. Here, a mathematical model is presented that combines an image-based heterogeneous representation of retinal arterioles with a compartmental description of capillaries and venules. The arteriolar model of the human retina is extrapolated from a previous mouse model based on confocal microscopy images. Every terminal arteriole is connected in series to compartments for capillaries and venules, yielding a hybrid model for predicting blood flow and oxygenation throughout the retinal microcirculation. A metabolic wall signal is calculated in each vessel according to blood and tissue oxygen levels. As expected, a higher average metabolic signal is generated in pathways with a lower average oxygen level. The model also predicts a wide range of metabolic signals dependent on oxygen levels and specific network location. For example, for high oxygen demand, a threefold range in metabolic signal is predicted despite nearly identical PO2 levels. This whole-network approach, including a spatially nonuniform structure, is needed to describe the metabolic status of the retina. This model provides the geometric and hemodynamic framework necessary to predict ocular blood flow regulation and will ultimately facilitate early detection and treatment of ischemic and metabolic disorders of the eye.
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spelling pubmed-94328472022-08-31 Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation Arciero, Julia Fry, Brendan Albright, Amanda Mattingly, Grace Scanlon, Hannah Abernathy, Mandy Siesky, Brent Vercellin, Alice Verticchio Harris, Alon Photonics Article Impaired blood flow and oxygenation contribute to many ocular pathologies, including glaucoma. Here, a mathematical model is presented that combines an image-based heterogeneous representation of retinal arterioles with a compartmental description of capillaries and venules. The arteriolar model of the human retina is extrapolated from a previous mouse model based on confocal microscopy images. Every terminal arteriole is connected in series to compartments for capillaries and venules, yielding a hybrid model for predicting blood flow and oxygenation throughout the retinal microcirculation. A metabolic wall signal is calculated in each vessel according to blood and tissue oxygen levels. As expected, a higher average metabolic signal is generated in pathways with a lower average oxygen level. The model also predicts a wide range of metabolic signals dependent on oxygen levels and specific network location. For example, for high oxygen demand, a threefold range in metabolic signal is predicted despite nearly identical PO2 levels. This whole-network approach, including a spatially nonuniform structure, is needed to describe the metabolic status of the retina. This model provides the geometric and hemodynamic framework necessary to predict ocular blood flow regulation and will ultimately facilitate early detection and treatment of ischemic and metabolic disorders of the eye. 2021-10 2021-09-23 /pmc/articles/PMC9432847/ /pubmed/36052288 http://dx.doi.org/10.3390/photonics8100409 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arciero, Julia
Fry, Brendan
Albright, Amanda
Mattingly, Grace
Scanlon, Hannah
Abernathy, Mandy
Siesky, Brent
Vercellin, Alice Verticchio
Harris, Alon
Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title_full Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title_fullStr Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title_full_unstemmed Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title_short Metabolic Signaling in a Theoretical Model of the Human Retinal Microcirculation
title_sort metabolic signaling in a theoretical model of the human retinal microcirculation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432847/
https://www.ncbi.nlm.nih.gov/pubmed/36052288
http://dx.doi.org/10.3390/photonics8100409
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