Computational Simulation of Exosome Transport in Tumor Microenvironment

Frontiers in Medicine

Joel Berry¹  Roy Koomullil²  Behnam Tehrani²  Kayla Goliwas³  Yong Wang³  Jessy Deshane³  Selvarangan Ponnazhagan⁴ 

[1] Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States;Department of Mechanical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States;Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, United States;Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States;

关键词: exosome;    interstitial fluid flow;    diffusion;    computational modeling;    transport equations;   

DOI  :  10.3389/fmed.2021.643793

来源: Frontiers

【 摘 要 】

Cellular exosome-mediated crosstalk in tumor microenvironment (TME) is a critical component of anti-tumor immune responses. In addition to particle size, exosome transport and uptake by target cells is influenced by physical and physiological factors, including interstitial fluid pressure, and exosome concentration. These variables differ under both normal and pathological conditions, including cancer. The transport of exosomes in TME is governed by interstitial flow and diffusion. Based on these determinants, mathematical models were adapted to simulate the transport of exosomes in the TME with specified exosome release rates from the tumor cells. In this study, the significance of spatial relationship in exosome-mediated intercellular communication was established by treating their movement in the TME as a continuum using a transport equation, with advection due to interstitial flow and diffusion due to concentration gradients. To quantify the rate of release of exosomes by biomechanical forces acting on the tumor cells, we used a transwell platform with confluent triple negative breast cancer cells 4T1.2 seeded in BioFlex plates exposed to an oscillatory force. Exosome release rates were quantified from 4T1.2 cells seeded at the bottom of the well following the application of either no force or an oscillatory force, and these rates were used to model exosome transport in the transwell. The simulations predicted that a larger number of exosomes reached the membrane of the transwell for 4T1.2 cells exposed to the oscillatory force when compared to controls. Additionally, we simulated the interstitial fluid flow and exosome transport in a 2-dimensional TME with macrophages, T cells, and mixtures of these two populations at two different stages of a tumor growth. Computational simulations were carried out using the commercial computational simulation package, ANSYS/Fluent. The results of this study indicated higher exosome concentrations and larger interstitial fluid pressure at the later stages of the tumor growth. Quantifying the release of exosomes by cancer cells, their transport through the TME, and their concentration in TME will afford a deeper understanding of the mechanisms of these interactions and aid in deriving predictive models for therapeutic intervention.

【 授权许可】

CC BY