Abstract
We use in silico experiments to study the role of the hemodynamics and of the type of disendothelization on the physiopathology of intimal hyperplasia. We apply a multiscale bio-chemo-mechanical model of intimal hyperplasia on an idealized axisymmetric artery that suffers two kinds of disendothelizations. The model predicts the spatio-temporal evolution of the lesions development, initially localized at the site of damages, and after few days displaced downstream of the damaged zones, these two stages being observed whatever the kind of damage. Considering macroscopic quantities, the model sensitivity to pathology-protective and pathology-promoting zones is qualitatively consistent with experimental findings. The simulated pathological evolutions demonstrate the central role of two parameters: (a) the initial damage shape on the morphology of the incipient stenosis, and (b) the local wall shear stresses on the overall spatio-temporal dynamics of the lesion.
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Code availability
All simulation has been achieved with in-house Python packages https://gitlab.com/jrme.jansen/pytg/. Python codes used in this study will be available after publication on the gitlab repository.
References
Calvez V, Houot JG, Meunier N, Raoult A, Rusnakova G (2010) Mathematical and numerical modeling of early atherosclerotic lesions. ESAIM Proc 30:1–14. https://doi.org/10.1051/proc/2010002
Carrel A, Guthrie CC (1906) Results of the biterminal transplantation of veins. Am J Med Sci 132:415–422
Chistiakov DA, Orekhov AN, Bobryshev YV (2016) Effects of shear stress on endothelial cells: go with the flow. Acta Physiol 219(2):382–408. https://doi.org/10.1111/apha.12725
Cilla M, Peña E, Martínez MA (2014) Mathematical modelling of atheroma plaque formation and development in coronary arteries. J R Soc Interface 11(90):20130866
Corti A, Chiastra C, Colombo M, Garbey M, Migliavacca F, Casarin S (2020) A fully coupled computational fluid dynamics—agent-based model of atherosclerotic plaque development: multiscale modeling framework and parameter sensitivity analysis. Comput Biol Med 118:103623. https://doi.org/10.1016/j.compbiomed.2020.103623
Donadoni F, Pichardo-Almarza C, Bartlett M, Dardik A, Homer-Vanniasinkam S, Díaz-Zuccarini V (2017) Patient-specific, multi-scale modeling of neointimal hyperplasia in vein grafts. Front Physiol 8:226. https://doi.org/10.3389/fphys.2017.00226
Escuer J, Martínez MA, McGinty S, Peña E (2019) Mathematical modelling of the restenosis process after stent implantation. J R Soc Interface 16(157):20190313. https://doi.org/10.1098/rsif.2019.0313
Friedman MH, Hutchins GM, Brent Bargeron C, Deters OJ, Mark FF (1981) Correlation between intimal thickness and fluid shear in human arteries. Atherosclerosis 39(3):425–436. https://doi.org/10.1016/0021-9150(81)90027-7
Geuzaine C, Remacle JF (2009) Gmsh: a 3-D finite element mesh generator with built-in pre- and post-processing facilities. Int J Numer Methods Eng 79(11):1309–1331. https://doi.org/10.1002/nme.2579
Goodman ME, Luo XY, Hill NA (2016) Mathematical model on the feedback between wall shear stress and intimal hyperplasia. Int J Appl Mech 8(7). https://doi.org/10.1142/S1758825116400111
Jansen J (2021) Modélisation et simulation de l’écoulement hémodynamique couplé à la croissance tissulaire de l’endofibrose artérielle dans l’artère iliaque. PhD thesis, Université de Lyon
Jansen J, Escriva X, Godeferd FS, Feugier P (2022) Multiscale bio-chemo-mechanical model of intimal hyperplasia. Biomech Model Mechanobiol 21:709–734. https://doi.org/10.1007/s10237-022-01558-5
Khosravi R, Ramachandra AB, Szafron JM, Schiavazzi DE, Breuer CK, Humphrey JD (2020) A computational bio-chemo-mechanical model of in vivo tissue-engineered vascular graft development. Integr Biol 12(3):47–63. https://doi.org/10.1093/intbio/zyaa004
Li YSJ, Haga JH, Chien S (2005) Molecular basis of the effects of shear stress on vascular endothelial cells. J Biomech 38(10):1949–1971. https://doi.org/10.1016/j.jbiomech.2004.09.030
Peiffer V, Sherwin SJ, Weinberg PD (2013) Does low and oscillatory wall shear stress correlate spatially with early atherosclerosis? A systematic review. Cardiovasc Res 99(2):242–250. https://doi.org/10.1093/cvr/cvt044
Qiu J, Zheng Y, Hu J, Liao D, Gregersen H, Deng X, Fan Y, Wang G (2014) Biomechanical regulation of vascular smooth muscle cell functions: from in vitro to in vivo understanding. J R Soc Interface 11(90):20130852. https://doi.org/10.1098/rsif.2013.0852
Shampine LF, Thompson S (2009) Numerical solution of delay differential equations, pp 1–27. https://doi.org/10.1007/978-0-387-85595-0_9
Subbotin VM (2007) Analysis of arterial intimal hyperplasia: review and hypothesis. Theor Biol Med Model. https://doi.org/10.1186/1742-4682-4-41
The OpenFOAM Foundation (2017) OpenFOAM v5 user guide. OpenCFD Ltd., 5.0 edition
Wentzel JJ, Gijsen FJH, Stergiopulos N, Serruys PW, Slager CJ, Krams R (2003) Shear stress, vascular remodeling and neointimal formation. J Biomech 36(5):681–688. https://doi.org/10.1016/S0021-9290(02)00446-3
Acknowledgements
Numerical simulations were carried out using the facilities of the PMCS2I of École Centrale de Lyon. We gratefully thank the entire staff of PMCS2I for the technical support, and especially Laurent Pouilloux for his infallible help.
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X. Escriva and P. Feugier set up the relevant framework for tackling the modelling of the physiological-mechanical pathology. J. Jansen developed the model and code in axisymmetric configuration, carried out simulations and wrote the manuscript. F. Godeferd, X. Escriva and P. Feugier participated in the discussion of the results. J. Jansen and F. Godeferd wrote the first draft of manuscript.
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Appendices
A Reproducibility data, computational costs and sensitivity analysis
For the sake of further studies, we present in this section the reproducibility data in Tables 2 and 3 and the computational costs of our two disendothelization models simulations.
Numerical simulations were carried out in parallel on twelve processors of the PMCS2I of École Centrale de Lyon. The simulations lasted 1.17 days and 3.96 days, respectively, for the bump damage (BD) and the Gaussian damage (GD). The axisymmetric artery geometry is more CPU time consuming than the one in monodimensional artery. For information, the computational cost of 1D test-case in Jansen et al. (2022) is about 0.2 min.
Because of the prohibitive computational cost of the axisymmetric cases compared to the 1D test-case, we perform a sensitivity study of the parameters of our model only in the 1D configuration. In (Jansen 2021, section 6.2) we propose a qualitative and quantitative exploration of the parameter space of our model using a methodology that nests two Global Sensitivity Analysis (GSA) methods. The realization of such sensitivity analysis methods in axisymmetric geometry could not have been achieved because of its computational cost.
B Mesh convergence study
In this section, we present the convergence studies used to set relevant mesh parameters for the presented simulations. These parameters define the meshes of the luminal domain linked to CFD and of the parietal domain linked to the model of intimal hyperplasia. An illustration of the mesh parameters of domains is proposed in Fig. 14d. The convergence studies were carried out on the Gaussian damage (GD). The fixed and variable parameters of each study are presented in Table 4.
A first study, shown in Fig. 14a, impose conformed meshes between luminal and parietal meshes to choose the relevant discretization in the damaged zone of parietal mesh. This figure shows, as a function of the number of parietal mesh points in the central zone of the GD case, \(N_{\textrm{TG}}^{M}\) (see Fig. 14d), the relative error of luminal radius at \(t=60\) days, i.e., \(R_{\textrm{l}}(z,t=60\textrm{d})\), based on a finer mesh which has \(N_{\textrm{TG}}^{M}=1301\). From this study, we choose \(N_{\textrm{TG}}^{M} = 1001\).
As the whole coupling between hemodynamics and tissue growth is based on the WSS distribution, and regarding the strong influence of WSS on vascular species dynamics (see Fig. 12), the most limiting factor for an accurate simulation of a spatio-temporal lesion evolution is the WSS computation. The more the hemodynamics will be finely resolved in the near endothelium region, the more precise the WSS will be obtained, within the feasible simulation limit.
In order to evaluate the influence of the numerical resolution of hemodynamics in axisymmetric configuration, two parameters of the luminal mesh were tested: discretization in the radial direction and discretization in the longitudinal direction.
Imposing a constant radial compression of the luminal mesh with a thickness of the near endothelium cell of \(\Delta _y={1 \times 10^{-5}}\) m, we study the influence of the number of points \(N_{y}\) and \(N_{z}^M\), respectively, in Fig. 14b, c. In Fig. 14b, we observe a strong dependence of the number of points of mesh in the radial direction, with constant radial compression. From this study, we choose \(N_{y} = 51\). Fixing \(N_{\textrm{TG}}^{M}=1000\), Fig. 14c shows the influence of the increase in the longitudinal discretization of the luminal mesh on the relative errors of the luminal radius at \(t=60\) days, based on the finer luminal mesh with \(N_{z}^M/N_{\textrm{TG}}^{M}=8\). From this study, we impose the ratio \(N_{z}^M/N_{\textrm{TG}}^{M}=7\).
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Jansen, J., Escriva, X., Godeferd, F. et al. In silico experiments of intimal hyperplasia development: disendothelization in an axisymmetric idealized artery. Biomech Model Mechanobiol 22, 1289–1311 (2023). https://doi.org/10.1007/s10237-023-01720-7
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DOI: https://doi.org/10.1007/s10237-023-01720-7