Computational modeling of capillary perfusion and gas exchange in alveolar tissue

Zurita, Pablo; Hurtado, Daniel E.

doi:10.1016/j.cma.2022.115418

Cited by 2 publications

(4 citation statements)

References 30 publications

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“…For 7 µm interpillar distance, the closest match to our sheet-flow model, they have measured a red blood cell (RBC) flow velocity of 0.3 mm/s at a pressure gradient of 0.5 kPa (3.75 mmHg). Previous theoretical work has predicted distribution of blood flow in line with our results (Zurita and Hurtado, 2022). Their 3D hollow sphere model compares well with our sheet-flow ACN models, except that the geometry is based on mouse morphometrics and is more simplified.…”

Section: Discussionsupporting

confidence: 91%

“…Previous theoretical studies on pulmonary blood flow focused on predicting physiological parameters based on morphological properties. The work of Zurita and Hurtado (2022) has predicted the 3D spatial distribution of blood flow and gas exchange. Multi-scale models (Clark et al, 2010, 2011; Clark and Tawhai, 2018; Ebrahimi et al, 2022) are more complex and allow to investigate even broader relationships.…”

Section: Discussionmentioning

confidence: 99%

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Inference of alveolar capillary network connectivity from blood flow dynamics

Schmid,

Olivares,

Camara

et al. 2024

Preprint

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The intricate structure of the lungs is essential for the gas exchange within the alveolar region. Despite extensive research on the pulmonary vasculature, there are still unresolved questions regarding the connection between capillaries and the vascular tree. A major challenge is obtaining comprehensive experimental data that integrates morphological and physiological aspects. We propose a computational approach that combines data-driven 3D morphological modeling with computational fluid dynamics simulations. This method enables investigating the connectivity of the alveolar capillary network with the vascular tree based on the dynamics of blood flow. We developed 3D sheet-flow models to accurately represent the morphology of the alveolar capillary network and conducted computational fluid dynamics simulations to predict flow velocities and pressure distributions. Our approach focuses on leveraging functional features to identify the most plausible architecture of the system. For given capillary flow velocities and arteriole-to-venule pressure drops, we deduce details about arteriole connectivity. Preliminary connectivity analyses for non-human species indicate that their alveolar capillary network of a single alveolus is linked to at least two arterioles with diameters of 20 μm or a single arteriole with a minimum diameter of 30 μm. Our study provides insights into the structure of the pulmonary microvasculature by evaluating blood flow dynamics. This inverse approach represents a new strategy to exploit the intricate relationship between morphology and physiology, applicable to other tissues and organs. In the future, the availability of experimental data will play a pivotal role in validating and refining the hypotheses analyzed with our computational models.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Inference of alveolar capillary network connectivity from blood flow dynamics

Schmid,

Olivares,

Camara

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…These models have been applied to study capillary flows, oxygen or nutrient exchange, as well as the transport of therapeutics in various organs such as in alveoli within the lungs (Erbertseder et al 2012;Zurita & Hurtado 2022), within tumours (Secomb et al 2004;Stylianopoulos & Jain 2013;d'Esposito et al 2018), in the brain (Sweeney, Walker-Samuel & Shipley 2018;Kim et al 2023) and in the heart (Chapelle et al 2010;Cookson et al 2012;Michler et al 2013;Di Gregorio et al 2021Papamanolis et al 2021;Kim et al 2023). While the development of tissue perfusion models is relatively nascent compared with the 3-D and lumped-parameter models discussed above, in the context of flow through cardiac tissue, porous medium flow models have been coupled with high-fidelity and reduced-order models of flow in upstream coronary arteries (Hyde et al 2014;Di Gregorio et al 2021;Papamanolis et al 2021;Kim et al 2023;Menon et al 2024) as well as the elasto-mechanics describing cardiac contraction and its effect on the pressure driving coronary flow within the cardiac tissue (Chapelle et al 2010;Cookson et al 2012;Di Gregorio et al 2021).…”

Section: E7-17mentioning

confidence: 99%

Section: Microvascular and Capillary Flowsmentioning

confidence: 99%

Cardiovascular fluid dynamics: a journey through our circulation

Menon,

Hu,

Marsden

2024

Flow

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This article presents a broad overview of the fluid mechanics of the human cardiovascular system. Beginning in the heart, we travel through the main features of our circulation to highlight important functions and diseases where fluid mechanics plays a central role. Of particular focus is the role of computational modelling in uncovering the dynamic flow phenomenon throughout our body, its association with cardiovascular disease mechanisms and progression and its importance in clinical treatment planning. We also emphasize the multiscale nature of the cardiovascular system, and associated challenges. The main aim of this review is to highlight progress and ongoing challenges in our understanding of cardiovascular haemodynamics, as well as the future outlook for translating the current state-of-the-art to widespread clinical application and improved patient outcomes.

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Computational modeling of capillary perfusion and gas exchange in alveolar tissue

Cited by 2 publications

References 30 publications

Inference of alveolar capillary network connectivity from blood flow dynamics

Inference of alveolar capillary network connectivity from blood flow dynamics

Cardiovascular fluid dynamics: a journey through our circulation

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