Development of a hybrid fluid-structure interaction (FSI) algorithm to model red blood cell deformation and oxygen-dependent ATP release under flow stresses
Notice bibliographique
Résumé
The microcirculation serves to deliver oxygen (O 2 ) to tissue as red blood cells (RBCs) pass through the smallest blood vessels in the body: capillaries. Imaging techniques quantify O 2 present in capillaries but lack effective modalities quantifying O 2 entering tissue from capillaries. Thus, mathematical simulation has been used to investigate how O 2 is distributed locally over a variation of metabolic tissue O 2 demands. It has also been used to investigate mechanisms regulating capillary blood flow to meet such demands. Distributed throughout the microcirculation, RBCs have been hypothesized as potential candidates initiating signals at the capillary level that are transmitted upstream to arterioles, thereby altering capillary blood flow. It has been found that RBC deformation, as well as oxyhemoglobin desaturation, can cause release of adenosine triphosphate (ATP). It has been theorized that as RBCs deform with local blood flow, released ATP modulates upstream vessel diameter, but requires mathematical modelling to systematically investigate. A condensed matter model of RBC deformation was developed in the past, with the ability to predict baseline red blood cell shapes (at the micron level), and with the goal of reliably quantifying forces of the RBC on the surrounding environment, owing to its unique elasticity. To investigate how this RBC elasticity interacts with blood flow, the objective of this study was the development of a comprehensive hybrid fluid-structure interaction algorithm. This was done using a novel Discrete Exterior Calculus (DEC) solver for fluid flow, allowing the model to be geometrically versatile. This algorithm was developed to be capable of theoretically simulating RBC deformation in response to a range of shear stress rates in units of [1/ms]. The algorithm allowed detailed tracking of RBC shape changes in response to shear forces (%), osmolarity variations, and membrane tension, making it a powerful tool for understanding the mechanical behavior of RBCs in vivo. Variations in blood flow, and the effect on RBC geometry and shear, are quantified and presented. Using DEC's geometric versatility, fluid simulations through a variety of microvascular geometries will be presented, and deformation parameters will be outlined. Future work includes validation of the algorithm against experimental in vivo data, confirming the accuracy of the model in replicating observed RBC behaviour under varying flow conditions. Furthermore, interpreting the shear response of the RBC to flow in the context of ATP release will be investigated. By quantifying RBC deformation under fluid stresses, and estimating ATP release parameters, a novel approach to understanding how RBCs interact with their microcirculatory environment will be obtained. These findings provide a quantitative framework for understanding how RBCs contribute to microcirculatory regulation and offer a new tool for studying pathophysiological conditions where blood flow and oxygen delivery are compromised. Acknowledgements would like to be given to various NSERC Grants (#R4081A03, CGS-M, CGS-D) This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».