Spatio-temporal Models of Lymphangiogenesis in Wound Healing

被引:0
|
作者
Arianna Bianchi
Kevin J. Painter
Jonathan A. Sherratt
机构
[1] Heriot-Watt University,Department of Mathematics and Maxwell Institute for Mathematical Sciences
[2] University of Alberta,undefined
来源
关键词
Wound healing; Lymphangiogenesis; Interstitial flow; Mathematical model;
D O I
暂无
中图分类号
学科分类号
摘要
Several studies suggest that one possible cause of impaired wound healing is failed or insufficient lymphangiogenesis, that is the formation of new lymphatic capillaries. Although many mathematical models have been developed to describe the formation of blood capillaries (angiogenesis), very few have been proposed for the regeneration of the lymphatic network. Lymphangiogenesis is a markedly different process from angiogenesis, occurring at different times and in response to different chemical stimuli. Two main hypotheses have been proposed: (1) lymphatic capillaries sprout from existing interrupted ones at the edge of the wound in analogy to the blood angiogenesis case and (2) lymphatic endothelial cells first pool in the wound region following the lymph flow and then, once sufficiently populated, start to form a network. Here, we present two PDE models describing lymphangiogenesis according to these two different hypotheses. Further, we include the effect of advection due to interstitial flow and lymph flow coming from open capillaries. The variables represent different cell densities and growth factor concentrations, and where possible the parameters are estimated from biological data. The models are then solved numerically and the results are compared with the available biological literature.
引用
收藏
页码:1904 / 1941
页数:37
相关论文
共 50 条
  • [31] Spatial autoregression and related spatio-temporal models
    Ma, CS
    JOURNAL OF MULTIVARIATE ANALYSIS, 2004, 88 (01) : 152 - 162
  • [32] Editorial: Spatio-Temporal Data Models and Languages
    Stefano Spaccapietra
    GeoInformatica, 2001, 5 : 5 - 9
  • [33] Spatio-temporal Graphical Models for Extreme Events
    Yu, Hang
    Zhang, Liaofan
    Dauwels, Justin
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 2032 - 2036
  • [34] On hypotheses testing for the selection of spatio-temporal models
    Antunes, Ana Monica C.
    Rao, Tata Subba
    JOURNAL OF TIME SERIES ANALYSIS, 2006, 27 (05) : 767 - 791
  • [35] Time varying spatio-temporal covariance models
    Ip, Ryan H. L.
    Li, W. K.
    SPATIAL STATISTICS, 2015, 14 : 269 - 285
  • [36] Annoyance Models for Videos with Spatio-Temporal Artifacts
    Silva, Alexandre F.
    Farias, Mylene C. Q.
    Redi, Judith A.
    2016 EIGHTH INTERNATIONAL CONFERENCE ON QUALITY OF MULTIMEDIA EXPERIENCE (QOMEX), 2016,
  • [37] Spatio-temporal background models for outdoor surveillance
    Pless, R. (pless@cse.wustl.edu), 1600, Hindawi Publishing Corporation (2005):
  • [38] Spatio-temporal Background Models for Outdoor Surveillance
    Robert Pless
    EURASIP Journal on Advances in Signal Processing, 2005
  • [39] SPATIO-TEMPORAL MODELS OF SYNTHETIC GENETIC OSCILLATORS
    Macnamara, Cicely K.
    Chaplain, Mark A. J.
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2017, 14 (01) : 249 - 262
  • [40] Study on existing spatio-temporal data models
    Zhang, Feng
    Cao, Qu-Jiang
    Shanghai Ligong Daxue Xuebao/Journal of University of Shanghai for Science and Technology, 2005, 27 (06): : 530 - 534