{"id":6,"date":"2016-08-10T02:14:39","date_gmt":"2016-08-10T02:14:39","guid":{"rendered":"http:\/\/sites.msudenver.edu\/bfry2\/?page_id=6"},"modified":"2026-02-23T18:38:30","modified_gmt":"2026-02-23T18:38:30","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.msudenver.edu\/bfry2\/research\/","title":{"rendered":"Research"},"content":{"rendered":"

My research involves modeling oxygen transport and blood flow regulation in the microcirculation, which is the part of the circulation consisting of the smaller blood vessels that supply oxygen to the majority of surrounding tissue.\u00a0 I use mathematical and computational models to try to answer questions about how blood flow and blood flow regulation affect tissue oxygenation, in particular in networks of microvessels with heterogeneous structure.<\/p>\n

\"mesenteryweb\"<\/p>\n

Publications<\/h3>\n

2026<\/h5>\n

24. Brennan S, Khatun T, Fry B, Weiss C, Siesky B, Verticchio A, Harris A, and Arciero J.\u00a0 “Modeling the impact of venous collapsibility on retinal oxygenation”.\u00a0 Journal of Theoretical Biology<\/em>, 624 <\/em>(2026).\u00a0 DOI: https:\/\/doi.org\/10.1016\/j.jtbi.2026.112412 [Link to article<\/a>]\n

2025<\/h5>\n

23. Arciero J, Fry BC, Gyurek C, Albright A, Eckert G, Antman G, Verticchio A, Siesky B, and Harris A.\u00a0 “Impact of vascular network structure heterogeneity on retinal tissue oxygenation”.\u00a0\u00a0La Matematica\u00a0<\/em>(2025).\u00a0 DOI: https:\/\/doi.org\/10.1007\/s44007-025-00164-y [Link to article<\/a>]\n

22. Fry BC, Arciero JC, Gyurek C, Albright A, Siesky B, Verticchio A, and Harris A.\u00a0 “Using a theoretical model to assess the impact of vascular risk factors on autoregulation in the retina”. Invest Ophthalmol Vis Sci<\/em>, 66 (2025).\u00a0 DOI: https:\/\/doi.org\/10.1167\/iovs.66.1.42 [Link to article<\/a>]\n

21. Ritzer L, Harris A, Arciero J, Siesky B, Fry B, Januleviciene I, Oddone F, Carnevale C, Eckert G, and Verticchio Vercellin A.\u00a0 “Vascular density and retinal structure relationships across sectors and regions of the optic nerve in patients with primary open angle glaucoma”.\u00a0 Journal of Glaucoma, <\/em>377 (2025).\u00a0 DOI: https:\/\/doi.org\/10.1097\/IJG.0000000000002536 [Link to article<\/a>]\n

2024<\/h5>\n

20. Fry BC, Gyurek C, Albright A, Eckert G, Coleman-Belin J, Verticchio A, Siesky B, Harris A, and Arciero J.\u00a0 “Predicting the impact of retinal vessel density on retinal vessel and tissue oxygenation using a theoretical model”.\u00a0\u00a0Mathematical Biosciences,\u00a0<\/em>377 (2024).\u00a0 DOI: https:\/\/doi.org\/10.1016\/j.mbs.2024.109292 [Link to article<\/a>]\n

19. Riina N, Harris A, Siesky BA, Ritzer L, Pasquale LR, Tsai JC, Keller J, Wirostko B, Arciero J, Fry B, Eckert G, Verticchio Vercellin A, Antman G, Sidoti PA, and Guidoboni G.\u00a0 “Using multi-layer perceptron driven diagnosis to compare biomarkers for primary open angle glaucoma”. Invest Ophthalmol Vis Sci<\/em>, 65 (2024).\u00a0 DOI: https:\/\/doi.org\/10.1167\/iovs.65.11.16 [Link to article<\/a>]\n

18. Verticchio Vercellin A, Harris A, Oddone F, Carnevale C, Siesky BA, Arciero J, Fry B, Eckert G, Sidoti PA, Antman G, Alabi D, Coleman-Belin JC, and Pasquale LR.\u00a0 “Diagnostic capability of OCTA-derived macular biomarkers for early to moderate primary open angle glaucoma”. Journal of Clinical Medicine<\/em>, 13 (2024).\u00a0 DOI: https:\/\/doi.org\/10.3390\/jcm13144190 [Link to article<\/a>]\n

2023<\/h5>\n

17. Verticchio Vercellin A, Siesky B, Antman G, Oddone F, Chang M, Eckert G, Arciero J, Kellner RL, Fry B, Coleman-Belin J, Carnevale C, and Harris A.\u00a0 “Regional vessel density reduction in the macula and optic nerve head of patients with pre-perimetric primary open angle glaucoma”.\u00a0 Journal of Glaucoma<\/em>, 32: 930-941 (2023).\u00a0 DOI: https:\/\/doi.org\/10.1097\/IJG.0000000000002310 [Link to article<\/a>]\n

16. Siesky B, Harris A, Verticchio Vercellin A, Arciero J, Fry B, Eckert G, Guidoboni G, Oddone F, and Antman G.\u00a0 “Heterogeneity of ocular hemodynamic biomarkers among open angle glaucoma patients of African and European descent”.\u00a0\u00a0Journal of Clinical Medicine<\/em>, 12 (2023).\u00a0 DOI: https:\/\/doi.org\/10.3390\/jcm12041287 [Link to article<\/a>]\n

15. Albright A, Fry BC, Verticchio A, Siesky B, Harris A, and Arciero J.\u00a0 “Metabolic blood flow regulation in a hybrid model of the human retinal microcirculation”.\u00a0 Mathematical Biosciences<\/em>, 357 (2023).\u00a0 DOI: https:\/\/doi.org\/10.1016\/j.mbs.2023.108969 [Link to article<\/a>]\n

2021<\/h5>\n

14. Arciero J, Fry B, Albright A, Mattingly G, Scanlon H, Abernathy M, Siesky B, AV Vercellin, and Harris A.\u00a0 “Metabolic signaling in a theoretical model of the human retinal microcirculation”.\u00a0\u00a0Photonics<\/em>, 8 (2021).\u00a0 DOI: 10.3390\/photonics8100409 [Link to article<\/a>]\n

13. Fry BC and Secomb TW.\u00a0 “Distinct roles of red-blood-cell-derived and wall-derived mechanisms in metabolic regulation of blood flow”.\u00a0 Microcirculation<\/em>, 28: e12690\u00a0(2021).\u00a0 DOI: 10.1111\/micc.12690 [Link to article<\/a>]\n

2020<\/h5>\n

12. Fry BC, Harris A, Siesky B, and Arciero J.\u00a0 “Blood flow regulation and oxygen transport in a heterogeneous model of the mouse retina”.\u00a0 Mathematical Biosciences<\/em>, 329 (2020).\u00a0 DOI: 10.1016\/j.mbs.2020.108476 [Link to article<\/a>]\n

2018<\/h5>\n

11. Fry BC, Coburn EB, Whiteman S, Harris A, Siesky B, and Arciero J.\u00a0 “Predicting retinal tissue oxygenation using an image-based theoretical model”.\u00a0 Mathematical Biosciences<\/em> 305: 1-9 (2018).\u00a0 DOI: 10.1016\/j.mbs.2018.08.005 [Link to article<\/a>]\n

2017<\/h5>\n

10. Chen Y, Fry BC, and Layton AT. \u00a0“Modeling glucose metabolism\u00a0and lactate\u00a0production in the kidney”.\u00a0 Mathematical Biosciences<\/em> 289: 116-129 (2017).\u00a0 DOI: 10.1016\/j.mbs.2017.04.008 [Link to article<\/a>]\n

2016<\/h5>\n

9. Chen Y, Fry BC, and Layton AT. \u00a0“Modeling glucose metabolism in the kidney”. \u00a0Bulletin of Mathematical Biology<\/em>\u00a078: 1318-1336 (2016). \u00a0DOI:\u00a010.1007\/s11538-016-0188-7 [Link to article<\/a>]\n

8. Fry BC, Edwards A, and Layton AT. \u00a0“Impact of nitric-oxide-mediated vasodilation and oxidative stress on renal medullary oxygenation: A modeling study”. \u00a0American Journal of Physiology – Renal Physiology<\/i> 310: F237-247 (2016). \u00a0DOI: 10.1152\/ajprenal.00334.2015 [Link to article<\/a>]\n

2015<\/h5>\n

7. Fry BC, Edwards A, and Layton AT. \u00a0“Impacts of nitric oxide and superoxide on renal medullary oxygen transport and urine concentration”. \u00a0American Journal of Physiology – Renal Physiology\u00a0<\/i>308: F967-980 (2015). \u00a0DOI: 10.1152\/ajprenal.00600.2014 [Link to article<\/a>]\n

6. Sgouralis I, Evans RG, Gardiner BS, Smith JA, Fry BC, and Layton AT. \u00a0“Renal hemodynamics, function, and oxygenation during cardiac surgery performed on cardiopulmonary bypass: A modeling study”. Physiological Reports<\/i> 3: e12260 (2015). DOI: 10.14814\/phy2.12260 [Article PDF<\/a>]\n

2014<\/h5>\n

5. Fry BC and Layton AT. \u00a0“Oxygen transport in a cross-section of the rat inner medulla: Impact of heterogeneous distribution of nephrons and vessels”. \u00a0Mathematical Biosciences<\/i> 258: 68-76 (2014). \u00a0DOI: 10.1016\/j.mbs.2014.09.009 [Link to article<\/a>]\n

4. Fry BC, Edwards A, Sgouralis I, and Layton AT. \u00a0“Impact of renal medullary three-dimensional architecture on oxygen transport”. \u00a0American Journal of Physiology – Renal Physiology<\/i> 307: F263-F272 (2014). \u00a0DOI: 10.1152\/ajprenal.00149.2014 [Link to article (Editor’s pick)<\/a>]\n

2013<\/h5>\n

3. Fry BC, Roy TK, and Secomb TW. \u00a0“Capillary recruitment in a theoretical model for blood flow regulation in heterogeneous microvessel networks”. \u00a0Physiological Reports<\/i> 1: e00050 (2013). DOI: 10.1002\/phy2.50\u00a0[Article PDF<\/a>]\n

2. Fry BC. Theoretical models for blood flow regulation in heterogeneous microvascular networks. Ph.D. Thesis, University of Arizona (2013). [PDF through Arizona Open Repository<\/a>]\n

2012<\/h5>\n

1. Fry BC, Lee J, Smith NP, and Secomb TW. \u00a0“Estimation of blood flow rates in large microvascular networks”. \u00a0Microcirculation<\/i> 19: 530-538 (2012). DOI: 10.1111\/j.1549-8719.2012.00184.x [Link to article<\/a>]\n","protected":false},"excerpt":{"rendered":"

My research involves modeling oxygen transport and blood flow regulation in the microcirculation, which is the part of the circulation consisting of the smaller blood vessels that supply oxygen to the majority of surrounding tissue.\u00a0 I use mathematical and computational models to try to answer questions about how blood flow and blood flow regulation affect … Continue reading “Research”<\/span><\/a><\/p>\n","protected":false},"author":736,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/users\/736"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":0,"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"wp:attachment":[{"href":"https:\/\/sites.msudenver.edu\/bfry2\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}