ORIGINAL RESEARCH article
Front. Physiol.
Sec. Computational Physiology and Medicine
Impact of Vascular Density on Pancreatic Islet Viability: A Computational Study
Provisionally accepted- 1Department of Electrical Engineering, Universidad Autónoma Metropolitana, México, Mexico
 - 2Department of Biological Sciences, Idaho State University, Pocatello, United States
 
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Pancreatic islets are densely vascularized clusters of cells that secrete insulin, glucagon, and somatostatin, hormones essential to glucose metabolism. The viability and function of islet cells rely on the availability of oxygen and nutrients supplied by islet capillaries. In this work, we developed a computational model of vascularized pancreatic islets, aiming to estimate the proper level of vascularization to ensure cell viability. The simulated islets were reconstructed from experimental data of human and mouse, with capillaries generated using a pathfinding algorithm. The number of capillaries required to maintain islet cell viability was determined by analyzing oxygen gradients resulting from cell consumption at 6-and 20-mM glucose concentrations and a varying number of capillaries. Our simulations in human and mouse models suggest that >100 capillaries (i.e. vascular density >5.9%) are required to maintain >96% of cells in a viable state at 6-and 20-mM glucose. From this percentage of viable cells, >75% of cells are in functional state (PO₂ > 10 mmHg) at 6 mM glucose while it reduces to ~50% at 20 mM glucose. These models represent an advancement in computational models available to study islet physiology by incorporating the vascular system to enable more accurate, predictive, and physiologically relevant simulations in health, disease, and bioengineering approaches where changes in the islet vasculature are relevant. To support the broad application of the model, we provide a user-friendly computational tool where the viability of islet cells can be estimated based on a given number of capillaries, islet size and glucose level.
Keywords: Pancreatic islet, vasculature, oxygenation, computational model, Interactive tool
Received: 18 Sep 2025; Accepted: 03 Nov 2025.
Copyright: © 2025 Félix-Martínez, de la Cruz, Whisman and Godínez. 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) or licensor 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.
* Correspondence: 
Gerardo  J Félix-Martínez, gfelix@xanum.uam.mx
Diana  Lizbeth de la Cruz, dianadelacruzrami@isu.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
