Mingon KANG, Ph.D

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Computational modeling of phagocyte transmigration for foreign body responses to subcutaneous biomaterial implants in mice

Mingon Kang 1, Liping Tang 2, and Jean Gao 3
1.Department of Computer Science & Inofrmation Systems, Texas A&M University-Commerce, Commerce, TX 75428, USA
2.Department of Bioengineering, University of Texas at Arlington, Arlington TX 76019, USA
3.Department of Computer Science and Engineering, University of Texas at Arlington, Arlington TX 76019, USA


Background: Computational modeling and simulation play an important role in analyzing the behavior of complex biological systems in response to the implantation of biomedical devices. Quantitative computational modeling discloses the nature of foreign body responses. Such understanding will shed insight on the cause of foreign body responses, which will lead to improved biomaterial design and will reduce human body reactions. One of the major obstacles in computational modeling is to build a mathematical model that represent the biological system and to quantitatively define the model parameters.

Results In this paper, we considered quantitative inter connections and logical relationships among diverse proteins and cells, which have been reported in biological experiments and literature. Based on the established biological discovery, we have built a mathematical model while unveiling the key components that contribute to biomaterial-mediated inflammatory responses. Then, we estimated the model parameters by an efficient global optimization method, called Discrete Selection Levenberg-Marquardt (DSLM). Current existing global optimization methods, such as genetic algorithm and simulated annealing, use heuristic approaches that do not guarantee the convergence. Whereas, our proposed DSLM suggests a new approach for the selection of optimal parameters in the discrete space with fast computational convergence.

Conclusions The computational modeling not only provides critical clues to recognize current knowledge of fibrosis development but also enables the prediction of yet-to-be observed biological phenomena.

Contact: mkang9@kennesaw.edu or gao@uta.edu

Mouse experiment data for Phagocyte Transmigration

  • Data: Transmigration.xls
  • Software
    The codes are implemented by MATLAB (version: R2012a)

  • Simulation Study: DSLM.zip (Run "DEMO_VERIFY_RAST.m" or "DEMO_VERIFY_MICH.m")