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8 Computational Fluid Dynamics intheArterial System: Implications forVascular…
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formation, growth, and rupture [53, 54]. The effect of arterial geometry plays a vital role in stress distribution and consequently rupture risk of the aneurysm [55]. Greater geometric tortuosity can increase arterial WSS [56].
CFD simulation can be employed to identify the relationship between haemody­namic changes resulting from dilatation and aneurysm growth, risk and location of rupture [55]. CFD modelling results indicate that the highest WSS occurs at the entrance or inlet of blood ow into the aneurysm where it is confronted with higher pulsatile blood ow forces and the lowest WSS is located at the widest part of the aneurysm wall [57]. In regions of low WSS, ow recirculation and thrombus depo­sition occur probably from prolonged interaction between the blood and the vascu­lar endothelium leading to wall degeneration. An understanding of the interplay between wall shear stress and vascular remodelling will ultimately lead to a better understanding of AAA development, growth, and rupture potential [58].
193
8.8.4 Aortic Dissection
CFD and FEA are also useful in studying why and where are the most likely points in the aortic arch for spontaneous and traumatic dissections to occur. The subse­quent behaviour of the false lumen might be predicted rather than only observed and management planned accordingly.
Thrombosis of the false lumen in aortic dissection is essential to reduce the long­term risk of aneurysmal change. Maintenance of ow and increase in diameter of the false lumen is due to the relatively high diastolic pressure in the false lumen due to higher outow resistance and a ow gradient from false to true lumens during diastole. If this is reduced by treatment closing inow to the false lumen, then the false lumen diastolic pressure falls and the lumen collapses. Thrombosis will occur when blood ow velocity and arterial WSS are low [59].
In complex dissection where the stent graft landing zone is critical, CFD can be used to predict the effects of various lengths of coverage on false lumen exclusion so that the treating surgeon can weigh up the risks of longer coverage and false lumen exclusion with the increased risk of paraplegia [60, 61].
8.8.5 Stents
Stent thrombosis and in-stent stenosis following arterial stenting is the result of complex interactions between the owing blood, altered wall geometry, compliance mismatch, radial force and stent structure [62]. CFD modelling can be used to pre­dict the effects of stenting in different vascular beds by providing detailed analysis of blood ow and the interaction forces and displacements between the blood ow and the stented artery. This can be used to inuence stent design and improve treat­ment strategy.
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S. Mishani et al.
8.9 CFD Benets andChallenges
CFD is a quick and cost-effective means of studying blood ow conditions which enable us to investigate blood pressure variations and induced arterial wall stresses which cannot be achieved by bench top testing. Furthermore, CFD post-processing provides comprehensive visual images from vectors, contours, or animations which generate an insight into the interpretation of arterial diseases and treatment strategies.
Despite the benets, some inherent limitations and challenges of CFD should be understood. CFD converts physical data to small numerical fragments to simplify complex problems which creates inaccuracies when compared to analytical equa­tions [44]. Time consuming numerical calculations in complex CFD models may necessitate simplication of variables and parameters as well as modelling of only a few cases rather than large numbers, and this can introduce error [63, 64].
8.10 Conclusion
Clinical image-based CFD modelling and haemodynamic parameters, particularly those related to arterial WSS, can hold a prominent position in the patient-specic quantitative evaluation of arterial disease and treatment effects [64]. Using accurate properties of blood and arterial walls in modern CFD is enhancing our understand­ing compared to earlier techniques which assumed Newtonian properties and non­pulsatile vessels for example. This is serving to provide more accurate prediction of behaviour which can be informative in the clinical setting.
References
1. Ku DN, Giddens DP, Zarins CK, Glagov S.Pulsatile ow and atherosclerosis in the human
carotid bifurcation. Positive correlation between plaque location and low oscillating shear
stress. Arteriosclerosis. 1985;5:293–302.
2. Marshall I, Zhao S, Papathanasopoulou P, Hoskins P, Xu XY.MRI and CFD studies of pulsatile
ow in healthy and stenosed carotid bifurcation models. J Biomech. 2004;37:679–87.
3. Zarins CK, Giddens DP, Bharadvaj B, Sottiurai VS, Mabon RF, Glagov S.Carotid bifurcation
atherosclerosis. Quantitative correlation of plaque localization with ow velocity proles and
wall shear stress. Circ Res. 1983;53:502–14.
4. Sinnott M, Cleary PW, Prakash M, editors. An investigation of pulsatile blood ow in a bifurca-
tion artery using a grid-free method. Proc fth international conference on CFD in the process
industries; 2006.
5. Versteeg HK, Malalasekera W. An introduction to computational uid dynamics: the nite
volume method. London: Pearson Education; 2007.
6. Lo DS.Finite element mesh generation. Boca Raton: CRC Press; 2014.
7. Moratal D.Finite element analysis: from; biomedical applications to industrial developments.
London: InTech; 2012.
8
https://t.me/medicina_free
Computational Fluid Dynamics intheArterial System: Implications forVascular…
195
8. Shaikh FUA.Role of commercial software in teaching nite element analysis at undergraduate
level: a case study. Eng Educ. 2012;7:2–6.
9. Steinman DA, Taylor CA. Flow imaging and computing: large artery hemodynamics. Ann
Biomed Eng. 2005;33:1704–9.
10. Leondes CT.Medical imaging systems technology: methods in cardiovascular and brain sys-
tems. Singapore: World Scientic; 2005.
11. Pham DL, Xu C, Prince JL. Current methods in medical image segmentation. Annu Rev
Biomed Eng. 2000;2:315–37.
12. Toennies KD.Guide to medical image analysis. Berlin: Springer; 2017.
13. Sakellarios A, Rigas G, Exarchos T, Fotiadis D, editors. A methodology and a software tool
for 3D reconstruction of coronary and carotid arteries and atherosclerotic plaques. Imaging systems and techniques (IST), 2016 IEEE international conference on. IEEE; 2016.
14. Sun Z, Xu L.Computational uid dynamics in coronary artery disease. Comput Med Imaging
Graph. 2014;38:651–63.
15. ANSYS ICEM. CFD User Manual; ANSYS ICEM CFD 14.5; ANSYS. Inc.: Canonsburg, PA,
USA. 2012.
16. Bavo AM, Rocatello G, Iannaccone F, Degroote J, Vierendeels J, Segers P. Fluid-structure
interaction simulation of prosthetic aortic valves: comparison between immersed bound­ary and arbitrary Lagrangian-Eulerian techniques for the mesh representation. PLoS One. 2016;11:e0154517. https://doi.org/10.1371/journal.pone.0154517.
17. Sahni O, Jansen KE, Taylor CA, Shephard MS.Automated adaptive cardiovascular ow simu-
lations. Eng Comput. 2009;25:25.
18. Sahni O, Jansen KE, Shephard MS, Taylor CA, Beall MW.Adaptive boundary layer meshing
for viscous ow simulations. Eng Comput. 2008;24:267.
19. Sahni O, Müller J, Jansen KE, Shephard MS, Taylor CA. Efcient anisotropic adaptive
discretization of the cardiovascular system. Comput Methods Appl Mech Eng. 2006;195: 5634–55.
20. Alawadhi EM.Finite element simulations using ANSYS.London: CRC Press; 2009.
21. Bungartz H-J, Schäfer M. Fluid-structure interaction: modelling, simulation, optimisation.
Berlin: Springer Science & Business Media; 2006.
22. Finol EA, Shkolnik AD, Scotti CM, Amon CH: Computational modeling of abdominal aor-
tic aneurysms: an assessment of rupture potential for presurgical planning. In Biomechanics Applied to Computer Assisted Surgery. Edited by: Payan Y. Kerala, India: Research Signpost Publisher; 2005:in press.
23. Gharahi H, Zambrano BA, Zhu DC, DeMarco JK, Baek S.Computational uid dynamic simu-
lation of human carotid artery bifurcation based on anatomy and volumetric blood ow rate measured with magnetic resonance imaging. Int J Adv Eng Sci Appl Math. 2016;8:46–60.
24. Lantz J, Renner J, Karlsson M.Wall shear stress in a subject specic human aorta—inuence
of uid-structure interaction. Int J Appl Mech. 2011;3:759–78.
25. Soudah E, Ng EY, Loong T, Bordone M, Pua U, Narayanan S.CFD modelling of abdominal
aortic aneurysm on hemodynamic loads using a realistic geometry with CT.Comput Math Methods Med. 2013;2013:472564. https://doi.org/10.1155/2013/472564.
26. Hund SJ, Kameneva MV, Antaki JF. A quasi-mechanistic mathematical representation for
blood viscosity. Fluids. 2017;2:10.
27. Cho YI, Kensey KR.Effects of the non-Newtonian viscosity of blood on ows in a diseased
arterial vessel. Part 1: steady ows. Biorheology. 1991;28:241–62.
28. Berger S, Jou L-D.Flows in stenotic vessels. Annu Rev Fluid Mech. 2000;32:347–82.
29. Pedley T.The uid mechanics of large blood vessels (cambridge monographs on mechanics).
Cambridge: Cambridge University Press; 1980.
30. Hall JE. Guyton and Hall textbook of medical physiology e-Book. Amsterdam: Elsevier
Health Sciences; 2015. ISBN 9781455770052.
31. Fung Y-C.Biomechanics: mechanical properties of living tissues. Berlin: Springer Science &
Business Media; 2013.
https://doi.org/10.11120/ened.2012.07020002.
196
https://t.me/medicina_free
32. Waite L, Fine JM.Applied biouid mechanics. NewYork: McGraw Hill; 2007.
33. Holzapfel GA, Ogden RW. Mechanics of biological tissue. Berlin: Springer Science &
Business Media; 2006.
34. Wolters B, Rutten M, Schurink G, Kose U, De Hart J, Van De Vosse F.A patient-specic com-
putational model of uid–structure interaction in abdominal aortic aneurysms. Med Eng Phys. 2005;27:871–83.
35. McGregor RH, Szczerba D, Székely G, editors. A multiphysics simulation of a healthy
and a diseased abdominal aorta. International conference on medical image computing and computer- assisted intervention. Springer; 2007.
36. Bathe M, Kamm R.A uid-structure interaction nite element analysis of pulsatile blood ow
through a compliant stenotic artery. J Biomech Eng. 1999;121:361–9.
37. Vlachopoulos C, O’Rourke M, Nichols WW. McDonald’s blood ow in arteries: theoretical,
experimental and clinical principles. CRC press; 2011.
38. Gao F, Guo Z, Sakamoto M, Matsuzawa T.Fluid-structure interaction within a layered aortic
arch model. J Biol Phys. 2006;32:435–54.
39. Li Z, Kleinstreuer C.Blood ow and structure interactions in a stented abdominal aortic aneu-
rysm model. Med Eng Phys. 2005;27:369–82.
40. Tarbell JM. Mass transport in arteries and the localization of atherosclerosis. Annu Rev
Biomed Eng. 2003;5:79–118.
41. Ponalagusamy R.Biological study on Pulsatile ow of Herschel-Bulkley uid in tapered blood
vessels. In: Emerging trends in computational biology, bioinformatics, and systems biology, vol. 12; 2015. p.39–50.
42. Caro C, Fitz-Gerald J, Schroter R.Atheroma and arterial wall shear-observation, correlation
and proposal of a shear dependent mass transfer mechanism for atherogenesis. Proc R Soc Lond B. 1971;177:109–33.
43. Perktold K, Rappitsch G.Computer simulation of local blood ow and vessel mechanics in a
compliant carotid artery bifurcation model. J Biomech. 1995;28:845–56.
44. Logan DL.A rst course in the nite element method. Boston: Cengage Learning; 2017. ISBN
9781305637344.
45. Oberkampf WL, Trucano TG. Verication and validation in computational uid dynamics.
Prog Aerosp Sci. 2002;38:209–72.
46. Roache PJ.Verication and validation in computational science and engineering. Albuquerque:
Hermosa; 1998.
47. Perktold K, Hofer M, Rappitsch G, Loew M, Kuban B, Friedman M.Validated computation of
physiologic ow in a realistic coronary artery branch. J Biomech. 1997;31:217–28.
48. VanderLaan PA, Reardon CA, Getz GS. Site specicity of atherosclerosis: site-selective
responses to atherosclerotic modulators. Arterioscler Thromb Vasc Biol. 2004;24:12–22.
49. Glagov S, Zarins C, Giddens DP, Ku DN. Hemodynamics and atherosclerosis. Arch Pathol
Lab Med. 1988;112:1018–31.
50. Dhawan SS, Avati Nanjundappa RP, Branch JR, Taylor WR, Quyyumi AA, Jo H, etal. Shear
stress and plaque development. Expert Rev Cardiovasc Ther. 2010;8:545–56.
51. Rai K, Singh K, Maudar K.Supraclavicular rst rib resection for treatment of thoracic outlet
syndrome. Med J Armed Forces India. 1996;52:83–6.
52. Daly BJ. A numerical study of pulsatile ow through stenosed canine femoral arteries. J
Biomech. 1976;9:465–75.
53. Metaxa E, Tremmel M, Natarajan SK, Xiang J, Paluch RA, Mandelbaum M, et al.
Characterization of critical hemodynamics contributing to aneurysmal remodeling at the basi­lar terminus in a rabbit model. Stroke. 2010;41:1774–82.
54. Hashimoto T, Meng H, Young WL.Intracranial aneurysms: links among inammation, hemo-
dynamics and vascular remodeling. Neurol Res. 2006;28:372–80.
55. McGloughlin TM, Doyle BJ. New approaches to abdominal aortic aneurysm rupture
risk assessment: engineering insights with clinical gain. Arterioscler Thromb Vasc Biol. 2010;30:1687–94.
S. Mishani et al.
Computational Fluid Dynamics intheArterial System: Implications forVascular…
https://t.me/medicina_free
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56. Hoi Y, Meng H, Woodward SH, Bendok BR, Hanel RA, Guterman LR, etal. Effects of arte-
rial geometry on aneurysm growth: three-dimensional computational uid dynamics study. J Neurosurg. 2004;101:676–81.
57. Jou L-D, Lee D, Morsi H, Mawad M.Wall shear stress on ruptured and unruptured intracranial
aneurysms at the internal carotid artery. Am J Neuroradiol. 2008;29:1761–7.
58. Boussel L, Rayz V, McCulloch C, Martin A, Acevedo-Bolton G, Lawton M, etal. Aneurysm
growth occurs at region of low wall shear stress: patient-specic correlation of hemodynamics and growth in a longitudinal study. Stroke. 2008;39:2997–3002.
59. Kulcsár Z, Augsburger L, Reymond P, Pereira VM, Hirsch S, Mallik AS, etal. Flow diversion
treatment: intra-aneurismal blood ow velocity and WSS reduction are parameters to predict aneurysm thrombosis. Acta Neurochir. 2012;154:1827–34.
60. Foundation ACoC, Association AH.Guidelines for the diagnosis and management of patients
with thoracic aortic disease. Circulation. 2010;121:e266–369.
61. Braverman AC. Aortic dissection: prompt diagnosis and emergency treatment are critical.
Cleve Clin J Med. 2011;78:685–96.
62. Park JH, Chung JW, Choo IW, Kim SJ, Lee JY, Han MC.Fenestrated stent-grafts for preserv-
ing visceral arterial branches in the treatment of abdominal aortic aneurysms: preliminary experience. J Vasc Interv Radiol. 1996;7:819–23.
63. Doyle BJ, Callanan A, Grace PA, Kavanagh EG.On the inuence of patient-specic material
properties in computational simulations: a case study of a large ruptured abdominal aortic aneurysm. Int J Numer Methods Biomed Eng. 2013;29:150–64.
64. Cebral JR, Meng H.Counterpoint: realizing the clinical utility of computational uid dynam-
ics—closing the gap. Am Soc Neuroradiol. 2012;33:396–8.
197
Further Reading
Versteeg HK, Malalasekera W.An introduction to computational uid dynamics: the nite volume
method. Pearson Education; 2007.
Chapter 9
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Physiological Haemostasis
SimonMcRae
Key Learning Points
The haemostatic response involves complex interactions between multiple pro-
teins and cell types, and can be divided into primary and secondary haemostasis
• Primary haemostasis results in platelet plug formation and results from interac-
tions between platelets and subendothelial adhesive proteins (von Willebrand
factor and collagen)
• As part of the primary haemostatic response, platelets go through a sequence of
events that involves initial platelet adhesion, resulting in intracellular signalling
that triggers platelet shape change, activation with granule release, and nally
aggregation.
Secondary haemostasis results in sequential conversion of zymogens to active
enzymes as part of the coagulation cascade, leading to the formation of a mesh-
like network of cross-linked brin.
• The brinolytic system is responsible for the dissolution of thrombus composed
of cross-linked brin, and plays a major role in helping maintain a patent vascu-
lar system
9.1 Introduction
Physiological haemostasis involves complex interactions between endothelial cells, platelets, and coagulation proteins, that result in a platelet plug and localised throm­bus formation at the site of a break in vascular integrity. Numerous regulatory pro­cesses prevent widespread activation of coagulation, ensuring that blood remains uid in the absence of vascular injury or other pathology. All components of the
S. McRae (*) Department of Haematology, Launceston General Hospital, Launceston, Australia e-mail: Simon.McRae@ths.tas.gov.au
R. Fitridge (ed.), Mechanisms of Vascular Disease,
https://doi.org/10.1007/978-3-030-43683-4_9
199© Springer Nature Switzerland AG 2020
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haemostatic process can be disturbed resulting in either a pro-thrombotic or bleed­ing tendency, and drugs that modify the haemostatic process are commonly used, particularly in patients with vascular disease. An understanding of normal haemo­stasis is therefore important for all clinicians that deal with this patient group.
S. McRae
9.2 Primary Haemostasis
Primary haemostasis is the initial response of the body to vascular injury, and involves interaction between platelets, adhesive proteins located in the subendothe­lial matrix (including collagen and von Willebrand factor), and circulating brino­gen [1]. The end result of primary haemostasis is the formation of a stable platelet plug around which a brin network can then be built. This same process is respon­sible for the pathogenic thrombus formation in patients with arterial disease. Disorders of primary haemostasis tend to manifest as mucosal bleeding, including epistaxis, oral bleeding and menorrhagia, and often result in immediate difculty with haemostasis in the post-operative setting.
9.2.1 Platelets
Platelets are small fragments of megakaryocyte cytoplasm that, in the resting state, are small discoid structures. The normal range for circulating platelet count in adults is between 150 and 400× 109/L.Although anucleate, platelets are metabolically active, and interact with the local environment through the binding of surface gly­coprotein receptors to specic ligands (for more detail on these interactions, see Chap. 10). Platelets go through a predictable cycle of response to vessel wall injury that involves initial platelet adhesion to the sub-endothelium, subsequent intracel­lular signalling that triggers platelet shape change and activation with granule release, and nally aggregation (Fig.9.1) [2].
9.2.1.1 Platelet Adhesion andvon Willebrand Factor
Endothelial injury results in the exposure of circulating blood to the subendothelial matrix that is rich in a number of adhesive proteins. von Willebrand factor (vWF) is a large adhesive glycoprotein produced by endothelial cells and megakaryocytes that play a central role in initial platelet adhesion [3]. The mature vWF molecule consists of disulphide-linked multimers of high molecular weight of up to 20,000,000 daltons [4]. When secreted into the plasma, these high molecular weight (HMW) vWF multimers are digested into smaller forms by the metalloprotease ADAMTS13 (a disintegrin and metalloprotease with a thrombospondin type 1 motif, member
13). These smaller soluble forms bind less readily to platelet receptors, reducing the
GP IIb/IIIa Fibrinogen
Collagen
s
n
GP Ia/IIa
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201
Adhesion
Fig. 9.1 Mechanism of platelet aggregation
chance of spontaneous platelet aggregation. However, vWF secreted into the suben­dothelial space binds to other molecules such as collagen, resulting in a conforma­tional change that exposes the binding site for platelet glycoprotein (GP) receptor Ib [4]. Subendothelial vWF is therefore “primed” to interact with circulating platelets in the event of endothelial injury. Other important adhesive proteins include colla­gen type 1 and type 4, bronectin, thrombospondin, laminin and vitronectin.
Initial platelet adhesion, particularly in high shear conditions, involves interaction between vWF and the GPIb/IX/V complex located on the platelet surface. This com­plex consists of four trans-membrane subunits GPIba, GPIbb, GPIX and GPV, with the N-terminal globular domain of GPIba responsible for the interaction with the A1-domain of vWF [1]. Binding of vWF to GP Ib is often reversible, and in animal models platelets can be seen to initially slide or translocate along the subendothelial surface due to cyclical attachment and then dissociation of the GP Ib/IX/V complex to vWF [2]. However, nally through further platelet receptor ligand interactions the platelet is stabilized on the subendothelial surface. The platelet glycoprotein Ia/IIa receptor (integrin α
2ß1
tant in low-shear conditions [5]. Glycoprotein VI, a platelet surface receptor that belongs to the immunoglobin superfamily, also directly binds collagen and further activates the GPIa/IIa receptor via intracellular signaling [6]. Other ß1 integrins also bind their respective subendothelial ligands (α6ß1—laminin; α5ß1—bronectin), and there is increasing evidence that early binding of vWF to the glycoprotein IIb/IIIa
) receptor contributes to the initial adhesion process [2]. Finally there is evi-
(α
IIbß3
dence that formation of platelet membrane tethers, that consist of smooth cylinders of lipid membrane pulled from the platelet surface under the inuence of hemody­namic drag forces, contribute to platelet adhesion in high shear conditions [7].
VWF
GP Ib/IX/V
Shape change, Activation
Granule release
Clotting factor
Aggregation
ADP, Serotoni
) binds collagen, an interaction that appears to be more impor-
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S. McRae
In addition to being involved in initial platelet adhesion as described above, VWF also binds circulating factor VIII [8]. This signicantly prolongs the half-life of the latter molecule. As a result, patients with reduced VWF levels will also have reduced FVIII levels due to the acceleration in clearance of FVIII.
VWF has also been shown to be involved in the regulation of blood vessel forma­tion, with lack of VWF leading to enhanced angiogenesis in some vascular beds [9]. As a result patients with von-Willebrand disease have been documented to have increased rates of angiodysplasia that may result in intractable gastro-intestinal bleeding.
9.2.1.2 Platelet Activation andShape Change
Following platelet adhesion, multiple pathways lead to platelet activation that results in platelet shape change, platelet granule release, and conformational change in the GP IIb/IIIa receptor that allows binding to brinogen and vWF, lead­ing to platelet aggregation. Binding of vWF to the GP Ib receptor and collagen to the GP VI during the adhesion process triggers intracellular signaling via a path­way that involves activation of Src family kinases (Src), Syk and PI 3-kinase (PI3K). These events lead to the activation of phospholipase C-β (PLC), which hydrolyses membrane phospholipids to generate inositol (1,4,5) trisphosphate (IP3) [10]. The binding of IP3 to its receptors (IP3R) on the dense tubular system (DTS) then results in mobilisation of intra-platelet calcium stores, which has a number of consequences including;
1. Thromboxane A2 (TXA2) generation—the increase in intracellular calcium stim-
ulates the production of arachadonic acid by PLC and phospholipase A2.
Arachadonic acid is converted into TxA2 via the actions of the enzymes cyclo-
oxygenase 1 (COX-1) and Tx synthase. TxA2 is released from the platelet and
binds platelet receptors TPα and TPß. The effects of TxA2in platelets are medi-
ated primarily through TPα. Binding of TxA2 to this G-protein coupled receptor
results in further PLC activation, leading to further intracellular calcium increase
further reinforcing platelet activation [11]. Local diffusion of TxA2 also contrib-
utes to the recruitment to the site of injury and activation of further platelets.
Aspirin or acetyl salicylic acid exerts its antiplatelet effect by blocking TXA2
synthesis, due to the irreversible acetylation of Serine-529in COX-1. Because
platelets are anucleate, no new COX can be generated, explaining why aspirin
has a persistent functional effect that lasts the lifespan of the platelet (approxi-
mately 7days).
2. Granule release—intracellular calcium mobilization also results in the release
from the platelet of both the dense and alpha-granules. The dense granules con-
tain high concentrations of the small molecules adenosine diphosphate (ADP)
and serotonin, which further act to reinforce local platelet activation by binding
to specic platelet surface membrane receptors upon release. ADP is a central
player in sustained platelet activation. The receptors for ADP, the P2Y
and
1
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203
P2Y12 are seven transmembrane receptors that are coupled via heterotrimeric
G-proteins to numerous intracellular effector molecules. P2Y1 links to the
G-protein Gq resulting in further activation of PLC and also protein kinase C
activation. P2Y12 is linked to the G-protein Gi that has an inhibitory effect on
adenylate cyclase. ADP induced activation of the P2Y1 receptor induces platelet
shape change and rapid transient aggregation [12], whereas activation of the
P2Y12 receptor results in sustained irreversible aggregation [13]. The thienopyri-
dine class of antiplatelet agents, ticlopidine, clopidogrel, prasugrel and ticagrelor
all exert their antiplatelet effect by blocking the P2Y12 receptor. The active
metabolites of all agents have a free thiol moiety that forms a disulde bridge
with the extracellular cysteine residues Cys17 and Cys270 [14]. Released sero-
tonin also binds to a G-protein coupled platelet surface receptor, the 5-HT2A
receptor. Binding is also associated with Gq-dependent activation of PLC, result-
ing in amplication of platelet activation, platelet shape change, and weak
reversible platelet aggregation [15].
3. Activation of the GP IIb/IIIa receptor—in its resting state the GP IIb/IIIa recep-
tor is unable to bind its ligands, namely brinogen and vWF.The above platelet
signaling events through the activation of the small GTPase Rap1b and its
interaction with a Rap1-GTP interacting adapter molecule (RIAM), lead to the
binding of the proteins talin and kindlin to ß3 tail of GP IIb/IIIa receptor [16].
This leads to activation of the receptor and the resulting change in conforma-
tion allows the surface portion of the receptor to bind readily to brinogen and
vWF. The binding of talin to the receptor tail also links it to the underlying
actin cytoskeleton of the platelet, enhancing adhesive strength and platelet
cohesion [17].
4. Platelet shape change—the normally discoid-shaped platelet with a smooth sur-
face membrane undergoes dramatic shape change with stimulation, including
extension of lopodia, and attening or spreading on the subendothelial surface.
The platelet cytoskeleton is primarily responsible for regulating the platelet’s
shape. Platelet activation leads to the rapid reorganization and polymerization of
actin into laments, resulting in the above conformational change [18].
Along with ADP, the serine protease thrombin plays an important role in sustain­ing platelet activation leading to irreversible platelet aggregation. Thrombin specic receptors, the protease-activated receptors (PARs), are located on the platelet sur­face. Two main PARs, PAR1 a high afnity receptor and PAR4, a low afnity recep­tor, are involved in thrombin mediated platelet activation [19]. Thrombin activates PARs by cleaving the N-terminal of the receptor, unmasking a hidden receptor­linked ligand. This ligand then interacts with the remainder of the receptor leading to G-protein coupled signaling that results in further platelet activation.
Finally platelet activation also results in the surface expression of a number of adhesion molecules, such as the glycoprotein P-selectin which is involved in inter­action with both endothelial cells and also the recruitment of inammatory cells to the area of injury, via binding of P-selectin to P-selectin glycoprotein ligand 1 (PSGL-1) located on the surface of leucocytes [20]. Platelets also secrete