Strategies to enhance capillary formation inside biomaterials: a computational study.

Control over angiogenesis (formation of new capillaries from preexisting vessels) is often a crucial requirement for implantable porous biomaterials serving as scaffolds for tissue regeneration. Angiogenesis is influenced by the transport of chemoattractants such as vascular endothelial growth factor (VEGF) through the implant. To investigate this influence, we developed a computational model of capillary formation based on endothelial cell migration by modeling the random motion of sprout tips biased along spatially and temporally evolving concentration gradients of VEGF. The model focuses on the effect of diffusive VEGF transport inside a 2D domain on the directed migration of sprouts to test several chemical and physical strategies to stimulate and control angiogenesis. We considered a 2D porous membrane that is located between the primary vessel and a line source of VEGF. We assess the vascular network formed in 2 cases of a high and zero VEGF degradation rates applying 3 strategies of VEGF production: (1) only a line source; (2) a line source plus controlled release from a small number of VEGF sources that are randomly dispersed on the pore boundaries; and (3) a line source plus controlled release of VEGF from the pore boundaries themselves. Results show that in the limiting cases where VEGF degradation rate is relatively high, strategies 2 and 3 lead to a substantial increase in the number of vessels. This increase depends on the relative rates at which the line source and embedded sources or solid boundaries produce VEGF. Using strategy 2 results in a newly formed capillary network that is highly localized around the embedded sources. However, using strategy 3 leads to a more uniformly distributed vessel network and a higher degree of vessel ingrowth inside the porous membrane. In addition, the duration at which we engineer the embedded sources or pore boundaries to release VEGF determines the morphology of the capillary network. Although a higher release duration leads to a dense network of newly formed vessels near the primary vessel, it hinders further vessel penetration inside the porous membrane. Therefore, in applying both strategies 2 and 3, there is an optimum release duration that leads to a deeper penetration of vessels inside the membrane. It is hoped that insights from this study will aid in the design of materials with optimal structural and chemical properties to facilitate controlled angiogenesis.

[1]  Shuyu Sun,et al.  A deterministic model of growth factor-induced angiogenesis , 2005, Bulletin of mathematical biology.

[2]  D A Lauffenburger,et al.  Analysis of the roles of microvessel endothelial cell random motility and chemotaxis in angiogenesis. , 1991, Journal of theoretical biology.

[3]  Zigmond Sh Ability of polymorphonuclear leukocytes to orient in gradients of chemotactic factors. , 1977 .

[4]  W. Risau,et al.  Mechanisms of angiogenesis , 1997, Nature.

[5]  L. Preziosi,et al.  Modeling the early stages of vascular network assembly , 2003, The EMBO journal.

[6]  H. Granger,et al.  B1 receptor involvement in the effect of bradykinin on venular endothelial cell proliferation and potentiation of FGF‐2 effects , 1998, British journal of pharmacology.

[7]  C. Colton,et al.  Implantable biohybrid artificial organs. , 1995, Cell transplantation.

[8]  M. Chaplain,et al.  Mathematical Modelling of Angiogenesis , 2000, Journal of Neuro-Oncology.

[9]  G. Alessandri,et al.  Genetically Engineered Stem Cell Therapy for Tissue Regeneration , 2004, Annals of the New York Academy of Sciences.

[10]  R. Samulski,et al.  Building a better vector: the manipulation of AAV virions. , 2000, Virology.

[11]  Avner Friedman,et al.  Wound angiogenesis as a function of tissue oxygen tension: A mathematical model , 2008, Proceedings of the National Academy of Sciences.

[12]  R Langer,et al.  Novel approach to fabricate porous sponges of poly(D,L-lactic-co-glycolic acid) without the use of organic solvents. , 1996, Biomaterials.

[13]  Robert Langer,et al.  Local delivery of basic fibroblast growth factor increases both angiogenesis and engraftment of hepatocytes in tissue-engineered polymer devices1 , 2002, Transplantation.

[14]  D. Ingber,et al.  Prevascularization of porous biodegradable polymers , 1993, Biotechnology and bioengineering.

[15]  Cameron F Abrams,et al.  Chemotaxis and random motility in unsteady chemoattractant fields: a computational study. , 2005, Journal of theoretical biology.

[16]  Y Ikada,et al.  Controlled release of vascular endothelial growth factor by use of collagen hydrogels , 2000, Journal of biomaterials science. Polymer edition.

[17]  David J Mooney,et al.  Comparison of vascular endothelial growth factor and basic fibroblast growth factor on angiogenesis in SCID mice. , 2003, Journal of controlled release : official journal of the Controlled Release Society.

[18]  Cameron F Abrams,et al.  Simulations of Chemotaxis and Random Motility in 2D Random Porous Domains , 2007, Bulletin of mathematical biology.

[19]  A. R. Gourlay,et al.  Hopscotch: a Fast Second-order Partial Differential Equation Solver , 1970 .

[20]  Alexander R. A. Anderson,et al.  A Mathematical Model for Capillary Network Formation in the Absence of Endothelial Cell Proliferation , 1998 .

[21]  S. Epstein,et al.  Therapeutic interventions for enhancing collateral development by administration of growth factors: basic principles, early results and potential hazards. , 2001, Cardiovascular research.

[22]  Paul Gordon,et al.  Nonsymmetric Difference Equations , 1965 .

[23]  S. Epstein,et al.  Comparative effects of basic fibroblast growth factor and vascular endothelial growth factor on coronary collateral development and the arterial response to injury. , 1996, Circulation.

[24]  Aleksander S Popel,et al.  Differential binding of VEGF isoforms to VEGF receptor 2 in the presence of neuropilin-1: a computational model. , 2005, American journal of physiology. Heart and circulatory physiology.

[25]  H. Othmer,et al.  Mathematical modeling of tumor-induced angiogenesis , 2004, Journal of mathematical biology.

[26]  R Langer,et al.  Design and Fabrication of Biodegradable Polymer Devices to Engineer Tubular Tissues , 1994, Cell transplantation.

[27]  R K Jain,et al.  Quantitation and physiological characterization of angiogenic vessels in mice: effect of basic fibroblast growth factor, vascular endothelial growth factor/vascular permeability factor, and host microenvironment. , 1996, The American journal of pathology.

[28]  J. Folkman,et al.  Angiogenesis and angiogenesis inhibition: an overview. , 1997, EXS.

[29]  B O Palsson,et al.  Effective intercellular communication distances are determined by the relative time constants for cyto/chemokine secretion and diffusion. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[30]  R. Langer,et al.  Designing materials for biology and medicine , 2004, Nature.

[31]  Hiromu Ito,et al.  Remodeling of cortical bone allografts mediated by adherent rAAV-RANKL and VEGF gene therapy , 2005, Nature Medicine.

[32]  Takuji Nishimura,et al.  Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator , 1998, TOMC.

[33]  Peter Friedl,et al.  Cell migration strategies in 3‐D extracellular matrix: Differences in morphology, cell matrix interactions, and integrin function , 1998, Microscopy research and technique.

[34]  C M Salafia,et al.  Modeling the variability of shapes of a human placenta. , 2008, Placenta.

[35]  A. Mikos,et al.  Angiogenesis with biomaterial-based drug- and cell-delivery systems , 2004, Journal of biomaterials science. Polymer edition.

[36]  David J. Mooney,et al.  Promoting Angiogenesis in Engineered Tissues , 2001, Journal of drug targeting.

[37]  D. Lauffenburger,et al.  Cell Migration: A Physically Integrated Molecular Process , 1996, Cell.

[38]  R. Ian Freshney,et al.  Culture of Animal Cells: A Manual of Basic Technique and Specialized Applications , 2010 .

[39]  F. Yuan,et al.  Numerical simulations of angiogenesis in the cornea. , 2001, Microvascular research.

[40]  S. Ramakrishnan,et al.  Adeno-associated virus-mediated delivery of a mutant endostatin suppresses ovarian carcinoma growth in mice , 2005, Gene Therapy.