血小板血栓生成過程の マルチスケール・マルチフィジックス解析 · ss p )(...
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Blood clot in vessel① Bleed ② Platelet aggregation ③ Coagulation
(fibrinous network)
④ Vessel repair ⑤ Fibrolytic activity ⑥ Recanalization
http://www.hit-1.net/mimizu2/kesen.htm
→ A major role is the arrest of bleeding (hemostasis)
Thrombus simulator
exaggerated platelet aggregation→ vessel occlusion→ myocardial and cerebral infarctions
Thrombus
fluid-structure/membrane interaction, ligand-receptor interactionbiochemical reaction, ...
In the present study: the primary stage (platelet aggregation)
*Gaehtgens et al. (1980) Blood Cells, 6, 799.・multiphase flow nature・nolinearity in geometry
Feasibility of blood flow simulations
・arteriole ~100μm diameter・Red Blood Cell (RBC): 8μm diameter, 2μm thickness・platelet: 2μm diameter・grid size: O(0.1μm)
length scales
x O(103)→ O(109) degree of freedom
in 3DphenomenaRBC and platelet motions, blood rheology
challenging issueto treat a large number of soft dispersed bodiesin massively parallel computing
Blood flow(continuum dynamics)
Ligand-Receptor bond(stochastic)
Molecular interaction(molecular dynamics)
Simulation approach (multi-scale/multi-physics)
GPIbα-vWF・bond formation/breakage・elastic force
0, | | (( ) ,) ( )s s sm t p P τv σ qv nv v
211 2 2
2 (II 1)I I
,
I tr( ) 2, II {(tr( )
III 1
tr( )} 1.
s ss s
s sss
s s s s
W W
τ B P
B B B B
in-plane stress strain energy function
surface left Cauchy-Green deformation
surface projection, ,
,
Ts s s R
B P G P G F P FP I nn
Fluid-Structure/Membrane Interaction (on a fixed mesh)
shear tension
12
{( ) ( )} ,, .
s b R
R R
E
q P κ P Pκ n n
・ Sugiyama, Ii et al. (2011) J. Comput . Phys., 230, 596.・Ii, Gong et al. (2012) Comm. Comput. Phys., 12, 544.
2 ,G σ D BCauchy 's stress tensor
s
( ) 0, ( ) 0,t t s s v v
( ) ,
( ) ,
Tt
Tt s s s s
B v B L B B L
G v G L G G L
structure/membrane kinematics (on a fixed mesh)
( ) ,Tt R R R v n L n
, , .| | | |s s
B P G P n κ
VOFs
left Cauchy-Green deformation tensor, surface strain
reference frame curvature
T L v
Typical result of blood flow simulations
including RBCs and plateletsvessel diameter: 104μmHt = 20%
3,072x640x640 mesh4800 nodes
1 exp( )
1 exp( )
formation
breakageRandom numbers[0,1] ( , : )
f f f
r
f
r
r
r
P k
P k
t R
t RR R
20
0
20
0
( )( ) exp2
( )( ) ex (p2
)
f f ts
r
b
r p tsb
llk l kk T
lk l lkk T
0( )p lf l Luo et al. (2007) Blood, 109, 603.
Stochastic model with energetic elasticity
4
10 0
10 [N/m], 0.9 [N/m]
60 [nm], 3 [s ]
s
r
tp p
l k
Ligand-Receptor bond model
Eyring (1935) J. Chem. Phys., 3, 107.Bell (1978) Science, 200, 618.Dembo (1988) Proc. R. Soc. Lond. B, 234, 55.Hammer & Apte (1992) Biophys. J., 63, 35.Shiozaki et al. (2012) J. Biomech. Sci. Eng.,7, 275.
forward reaction rate
reverse reaction rateFox et al. (1988) J. Biol. Chem., 263, 4882.Arya et al. (2005) Biophys. J., 88, 4391.Kim et al. (2010) Nature, 466, 992.
Constants for the model
formation
breakage
Platelet adhesion in channel flowwithout RBCs
with RBCs
・ platelet: undergoing a hydrodynamic lift force
・ RBCs: inducing a wall-normal fluctuation・ platelet: getting a chance to adhere to the wall
temporal change in the number of GPIbα-vWF bonds
Platelet adhesion in stenosed blood vesselvessel diameter: up to 40μmup to 128 nodes
SummaryComputational models for Fluid-Structure/Membrane Interaction and platelet adhesion• Shear dependent adhesion and rolling behaviors• Spanwise motion induced by randomly formed bond• Flow fluctuation-induced adhesion (w/ RBCs)
Future works• Further development for massively parallel computing• Comparison with flow chamber experiment
(~100m channel height)