Title :
Dynamic simulations of inflammatory cell recruitment: the state diagram for cell adhesion mediated by two receptors
Author :
Bhatia, Sujata K. ; Hammer, Daniel A.
Author_Institution :
Dept. of Bioeng. & Chem. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
White blood cell recruitment from the bloodstream to surrounding tissues is an essential component of the immune response. Capture of blood-borne leukocytes onto vascular endothelium proceeds via a two-step mechanism, with each step mediated by a distinct receptor-ligand pair. Cells first transiently adhere, or "roll" (via interactions between selectins and sialyl-Lewis-x), and then firmly adhere to the vascular wall (via interactions between integrins and ICAM-1). We have reported that a computational method called Adhesive Dynamics (AD) accurately reproduces the fine scale dynamics of selectin-mediated rolling. This paper extends the use of AD simulations to model the dynamics of cell adhesion when two classes of receptors are simultaneously active: one class (selectins) with weakly adhesive properties, and the other (integrins) with strongly adhesive properties. AD simulations predict synergistic functions of the two receptors in mediating adhesion. We present this relationship in a two-receptor state diagram, a map that relates the densities and properties of adhesion molecules to various adhesive behaviors that they code, such as rolling or firm adhesion. The predictions of two-receptor adhesive dynamics are validated by the ability of the model to reproduce experimental neutrophil rolling velocities.
Keywords :
adhesion; cellular transport; haemorheology; physiological models; adhesion molecules properties; blood-borne leukocytes capture; cell adhesion dynamics modeling; distinct receptor-ligand pair; dynamic simulations; experimental neutrophil rolling velocities reproduction; inflammatory cell recruitment; integrins; sialyl-Lewis-x; state diagram; vascular endothelium; vascular wall; Adhesives; Biomedical engineering; Cells (biology); Chemical engineering; Computational modeling; Immune system; Mice; Predictive models; Recruitment; White blood cells;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1216040