Impact of Vascular Network Structure Heterogeneity on Retinal Tissue Oxygenation.

Julia Arciero, Brendan C Fry, Croix Gyurek, Amanda Albright, George Eckert, Gal Antman, Alice Verticchio, Brent Siesky, Alon Harris
{"title":"Impact of Vascular Network Structure Heterogeneity on Retinal Tissue Oxygenation.","authors":"Julia Arciero, Brendan C Fry, Croix Gyurek, Amanda Albright, George Eckert, Gal Antman, Alice Verticchio, Brent Siesky, Alon Harris","doi":"10.1007/s44007-025-00164-y","DOIUrl":null,"url":null,"abstract":"<p><p>A theoretical model of the human retina is simulated using two distinct vascular network geometries to predict the impact of heterogeneity in vascular network structure on retinal tissue oxygenation. Each vascular network is modeled as a combined heterogeneous representation of retinal arterioles and compartmental representation of capillaries, small venules, and large venules. A Green's function method is used to model oxygen transport in the arterioles, and a Krogh cylinder model is used in the capillaries and venules. Identical input arterial blood saturation (0.92), arteriolar pressure drop (16 mmHg), and arteriolar diameters by vessel order ( <math><mn>117</mn> <mo>,</mo> <mn>73</mn> <mo>,</mo> <mn>44</mn> <mo>,</mo> <mn>32</mn> <mo>,</mo> <mtext>and</mtext> <mspace></mspace> <mn>22</mn> <mspace></mspace> <mi>μ</mi> <mtext>m</mtext></math> ) are assumed for both networks. The model shows that 12% of the arteriolar tissue in Branch 1 has a PO<sub>2</sub> less than 25 mmHg, while only 1% of the arteriolar tissue in Branch 2 has a PO<sub>2</sub> less than 25 mmHg. However, downstream of the capillaries, Branch 2 was predicted to exhibit lower tissue PO<sub>2</sub> than Branch 1. The model also predicted increased oxygen extraction fraction as oxygen demand increased or capillary density decreased. Even with identical initial conditions for saturation, pressure drop, and diameter, variations in network geometry led to significantly different regions of low PO<sub>2</sub>, indicating a wide range of potential oxygenation outcomes for individual patients. This study therefore demonstrates that regional heterogeneity in vessel branching architecture may significantly impact oxygen saturation and ultimately retinal ganglion cell functionality, motivating the need for creating patient-specific vascular networks.</p>","PeriodicalId":74051,"journal":{"name":"La matematica","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12360400/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"La matematica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s44007-025-00164-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A theoretical model of the human retina is simulated using two distinct vascular network geometries to predict the impact of heterogeneity in vascular network structure on retinal tissue oxygenation. Each vascular network is modeled as a combined heterogeneous representation of retinal arterioles and compartmental representation of capillaries, small venules, and large venules. A Green's function method is used to model oxygen transport in the arterioles, and a Krogh cylinder model is used in the capillaries and venules. Identical input arterial blood saturation (0.92), arteriolar pressure drop (16 mmHg), and arteriolar diameters by vessel order ( 117 , 73 , 44 , 32 , and 22 μ m ) are assumed for both networks. The model shows that 12% of the arteriolar tissue in Branch 1 has a PO2 less than 25 mmHg, while only 1% of the arteriolar tissue in Branch 2 has a PO2 less than 25 mmHg. However, downstream of the capillaries, Branch 2 was predicted to exhibit lower tissue PO2 than Branch 1. The model also predicted increased oxygen extraction fraction as oxygen demand increased or capillary density decreased. Even with identical initial conditions for saturation, pressure drop, and diameter, variations in network geometry led to significantly different regions of low PO2, indicating a wide range of potential oxygenation outcomes for individual patients. This study therefore demonstrates that regional heterogeneity in vessel branching architecture may significantly impact oxygen saturation and ultimately retinal ganglion cell functionality, motivating the need for creating patient-specific vascular networks.

Abstract Image

Abstract Image

Abstract Image

血管网络结构异质性对视网膜组织氧合的影响。
利用两种不同的血管网络几何形状模拟了人类视网膜的理论模型,以预测血管网络结构的异质性对视网膜组织氧合的影响。每个血管网络被建模为视网膜小动脉和毛细血管、小静脉和大静脉的室状表示的组合异质表示。用格林函数法模拟小动脉中的氧运输,用克拉夫圆柱模型模拟毛细血管和小静脉中的氧运输。假设两个网络的输入动脉血饱和度(0.92)、小动脉压降(16 mmHg)和小动脉直径(按血管顺序分别为117、73、44、32和22 μ m)相同。模型显示,12%的分支1小动脉组织PO2小于25mmhg,而分支2小动脉组织PO2小于25mmhg的比例仅为1%。然而,在毛细血管的下游,预计分支2的组织PO2低于分支1。该模型还预测,随着需氧量的增加或毛细密度的降低,氧气萃取率也会增加。即使在饱和度、压降和直径相同的初始条件下,网络几何形状的变化也会导致低PO2区域的显著不同,这表明个体患者的潜在氧合结果存在很大差异。因此,这项研究表明,血管分支结构的区域异质性可能会显著影响氧饱和度,最终影响视网膜神经节细胞的功能,从而激发了创建患者特异性血管网络的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信