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      Invasive coronary imaging in animal models of atherosclerosis

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          Abstract

          Experimental disease models have enhanced our understanding of the pathogenesis of atherosclerosis development. For example, insight has been gained into the role of the endothelium, lipids, platelets and inflammation, as well as into potential diagnostic and therapeutic interventions. Moreover, transgenic and knock-out technologies have become a widespread approach and this is a growing field to assess the role of individual genes in vascular biology and pathology. However, atherosclerosis is most of all a multifactorial disease, influenced by a multitude of environmental factors. Therefore, it is important to also study non-transgenic animal models that closely resemble the human situation with atherosclerotic lesions at anatomical locations that mimic the clinical manifestation of the disease, e.g. coronary artery disease (CAD). Although no model completely mimics human atherosclerosis, much can be learned from existing models in the study of this disease, also with respect to the development of new interventions. Here, we describe the most relevant animal models of atherosclerosis, while focusing on CAD development and the use of coronary diagnostic and therapeutic interventions. In addition, we show examples of features of a large animal model of CAD including pictures of invasive coronary imaging. Small versus large animal models Small animal models, primarily small rodents and rabbits, have been used extensively in atherosclerosis research. Some of the reasons include low costs, availability, and easy usability (Table 1). However, mice do not spontaneously develop atherosclerosis without genetic manipulation since they have a lipid profile that is different from humans. Yet, due to genetic modification and cross-breeding specific strains can be generated and used to unravel molecular mechanisms involved in the atherosclerosis process [1]. However transgenic mouse models do not typically develop advanced lesions, including plaque rupture and thrombosis [2], which is typical in patients presenting with symptomatic disease. When size becomes more important, small animal models need to be complemented by larger animal models in which vessel characteristics are more similar to human arteries. The rabbit model on a high cholesterol diet has been widely used in the study of experimental atherosclerosis (Table 1). Combined with arterial wall injury, lesions at least partly resembling human plaque will develop in the aorta or iliac arteries of this model [3]. However, when coronary atherosclerosis is the object of study, pigs seem to be the most representative model (Table 1). Pigs have a highly similar anatomy and physiology of the coronary system as compared to humans [4]. In addition, with use of toxin-mediated pancreatic damage and a high fat diet, human diabetes mellitus (DM)-like metabolic alterations will develop [5], followed by coronary lesions resembling the human condition closely with even some characteristics of vulnerable plaque [6, 7]. Historically monkeys have also been considered to be a good model of human atherosclerosis (Table 1); in particular the effects of hormones and the role of behaviour can be studied with this model [8, 9]. However, nowadays monkeys are not widely used due to obvious species-specific ethical concerns and costs [2]. Table 1 Animal models of atherosclerosis Animal model Advantages Limitations Mouse 1 Rapid development of atherosclerotic plaque 1 Limited resemblance to humans 2 Short reproductive cycle + large litters 2 Limited complex atherosclerotic lesion formation 3 Well-known genome + genome manipulation possible 3 Very high levels of blood lipids + different lipid profile 4 Cheap Rat 1 Useful as restenosis model 1 No development of atherosclerotic lesions 2 Cheap Rabbit 1 Fibroatheroma lesions 1 Need for high plasma cholesterol levels to develop atherosclerosis 2 Useful as restenosis model 2 No plaque rupture model 3 Affordable 3 Model for neointima formation + re-endothelialisation rather than atherosclerosis 4 Coronary evaluation difficult Pig 1 Atherosclerotic lesions similar to human disease 1 Expensive 2 Blood lipids in human range 2 Difficult to handle due to size 3 Invasive coronary imaging possible 3 Limited genomic tools 4 Useful as restenosis model post-intervention 5 Useful for detailed coronary endothelial function studies Monkey 1 Atherosclerotic lesions similar to human disease 1 Ethical concerns 2 Influence of behavioural factors, e.g. psychosocial stress 2 Very expensive 3 Influence of hormonal status 3 Difficult to handle In the validation process of coronary interventional devices and therapies for diagnosis and treatment of human CAD, both healthy rabbit [10] and pig models [11] have been used extensively, although the rat model has also been used occasionally [12] (Table 1). In these models, arterial overstretch injury with stenting will result in a restenosis process with re-endothelialisation, inflammation and neointima formation. However, these are healthy animal models in which the vascular healing response occurs faster than in diseased humans [10, 11]. Therefore, the USA Food and Drug Administration has proposed a guidance that new coronary diagnostic and therapeutic interventional devices need to be tested in more clinically relevant animal models of disease (6255companion.doc, 2008). Since the porcine model is the only model in which CAD can be truly studied and catheters and coronary interventional devices can be applied to the vascular bed they are designed for, this model might be considered the most suitable [13]. New types of invasive coronary imaging techniques have already been applied in the pig model, e.g. optical coherence tomography (OCT) in healthy porcine coronaries [14] and intravascular ultrasound (IVUS) in diseased porcine coronaries [7]. Present animal model In light of the considerations outlined above, the present study was undertaken to investigate coronary atherosclerosis development over time with the use of a diseased porcine model. The study was performed in accordance with the Guide for the Care and Use of Laboratory Animals (NIH Publication No. 85-23, revised 1996), and with approval of the Erasmus MC Animal Care committee. For this purpose, diabetes was induced in a subgroup of male crossbred (Yorkshire x Landrace) pigs by single dose injection of streptozotocin (140 mg/kg) to give a subtotal destruction of pancreatic beta-cells, as described previously [5]. After 2 weeks of stable DM induction, a high fat atherogenic diet was introduced to all pigs. The pigs (diabetic: n = 8; non-diabetic: n = 7) were adjusted to this diet and followed up to study atherosclerosis development over time up to 15 months. Similar growth patterns were achieved in all pigs via adjustment of individual caloric intake. Moreover, blood glucose levels were monitored in diabetic pigs and insulin therapy was started only when plasma ketones appeared, to prevent severe DM-related complications. Anaesthetised pigs were imaged at 9, 12 and 15 months of study duration by two invasive coronary imaging modalities. Moreover, arterial blood samples were taken at these time points. A subgroup of pigs (n = 5) was sacrificed at 12 months, the remaining animals (n = 10) at 15 months to obtain coronary tissue for histology. Afterwards, plasma concentrations of glucose, total cholesterol, and low and high density lipoprotein (LDL and HDL) cholesterol were measured at the clinical chemical laboratory of the Erasmus MC using standard protocols. Imaging modalities Two invasive coronary imaging modalities were used in the present study: OCT and gray-scale IVUS. OCT, using an infrared light source, has an imaging depth of approximately 1.5 mm into tissue, an axial resolution of 10–15 μm and a lateral resolution of 25–40 μm. This image resolution of OCT offers the potential to assess coronary atherosclerosis in detail [15, 16]. Evaluation of atherosclerosis by OCT was performed in vivo in all pigs at 9, 12 and 15 months using the C7 XR Fourier-Domain OCT system (St. Jude Medical, Westford, MA, USA). Cross-sectional images were acquired at 100 frames per second with an automatic pullback speed of 20 mm/s. The limited penetration depth of OCT is a shortcoming for the assessment of the total vessel wall, particularly in case of a diseased vessel. Therefore, in case of a plaque thickness >1.5 mm, evaluation of the plaque was done by gray-scale IVUS using an automated pullback speed of 0.5 mm/s (Atlantis SR Pro, Boston Scientific Corp., Natick, MA, USA). During pullback acquisition, images were obtained at a rate of 30 frames/s. This technique, using sound instead of light, has an axial resolution of 80–200 μm and a lateral resolution of 200–400 μm. The penetration depth is 4–8 mm, which permits visualisation of the total vessel wall and therefore precise assessment of the extent of atherosclerosis within a segment of a coronary artery [17]. Preliminary results In diabetic pigs, plasma glucose levels were elevated at every measured time point as compared with the non-diabetic pigs (Table 2, P < 0.05). Moreover in this group of pigs, plasma triglycerides were increased over time (Table 2, P < 0.05) as well. Since both groups were fed an atherogenic diet, both showed elevated total cholesterol, LDL and HDL levels, which were not different over time (Table 2). In summary, diabetic pigs showed human-like DM characteristics of hyperglycaemia and triglyceridaemia, whereas all pigs showed evidence of hypercholesterolaemia. Table 2 Plasma characteristics Plasma markers Diabetic pigs Non-diabetic pigs Two-way ANOVA Glucose (mmol/l) P < 0.01a 9 months 15 ± 2.9* 4.1 ± 0.27 12 months 13 ± 2.3* 4.5 ± 0.47 15 months 18 ± 4.5* 5.1 ± 0.42 Triglycerides (mmol/l) P = 0.02a 9 months 1.15 ± 0.26 0.64 ± 0.27 12 months 0.95 ± 0.25 0.44 ± 0.08 15 months 1.26 ± 0.50 0.64 ± 0.19 Cholesterol (mmol/l) P = 0.86 9 months 20 ± 2.0 20 ± 2.6 12 months 18 ± 1.8 19 ± 2.0 15 months 17 ± 1.7 18 ± 2.7 LDL cholesterol (mmol/l) P = 0.75 9 months 17 ± 1.9 16 ± 2.2 12 months 15 ± 1.6 15 ± 1.9 15 months 14 ± 1.7 15 ± 2.5 HDL cholesterol (mmol/l) P = 0.13 9 months 5.2 ± 0.22 5.8 ± 0.21 12 months 5.7 ± 0.31 5.7 ± 0.31 15 months 5.1 ± 0.40 5.7 ± 0.35 Values are mean ± SEM, * P < 0.05 diabetic vs. non-diabetic pigs at corresponding time points, adiabetic vs. non-diabetic pigs over time LDL low density lipoprotein, HDL high density lipoprotein These metabolic alterations were accompanied by coronary atherosclerosis development. Indeed, at 9 months small early lesions could be detected in the coronary arteries of most pigs, specifically seen with OCT imaging (Fig. 1a). With IVUS this early stage of atherosclerosis was not visible (Fig. 1b). Over time (12 and 15 months), these lesions showed progression, both in size and in quantity as exemplified with OCT and IVUS (Fig. 1c - f). Histology at 12 months confirmed the formation of more complex coronary atherosclerosis at this time point, consisting of lipid accumulation and calcification also seen on IVUS (Fig. 2a - c). All pigs were sacrificed at 15 months because of the attained body weight and related handling difficulties (diabetic vs. non-diabetic: 97 ± 3 vs. 96 ± 1 kg). Fig. 1 Typical example of the development of an atherosclerotic plaque over time on OCT and IVUS in a diabetic pig; a OCT of intimal hyperplasia at 9 months (*); b IVUS of the same cross section as shown in a fails to clearly detect the early lesion; c + d OCT and IVUS of the growing plaque at 12 months (*); e + f OCT and IVUS of the same growing plaque at 15 months (*) Fig. 2 Typical example of IVUS (a) and histology (b, c) of a coronary atherosclerotic plaque in a diabetic pig. a IVUS of the same plaque as seen in b and c with deep calcium (white arrow). b and c show an overview and detail of the plaque with circumferential lipid accumulation (stained red) and deep calcification (Ca, remaining rim stained blue). The coronary plaque even shows the presence of a thin fibrous cap (black arrow) overlying the superficial lipid-rich tissue, showing a likeness to a thin cap fibrous atheroma [18]. Oil-red-O stain, bar in b is 700 μm, bar in c is 200 μm Conclusion Different animal models are useful to study different aspects in the process of atherosclerosis development (Table 1). However, for the study of CAD and related diagnostic and therapeutic interventions, a porcine disease model seems most suitable. In the presence of several metabolic alterations, lesions develop within 9 to 12 months, closely resembling human coronary atherosclerotic plaques upon examination by histology. In addition, examples from this model show that OCT and gray-scale IVUS appear to be highly complementary imaging modalities for the evaluation of the development of coronary atherosclerotic plaque over time. The present preliminary results indicate that these modalities can be used for plaque characterisation in vivo, making this large diseased animal model ideal for studying new coronary diagnostic and therapeutic interventions.

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          Most cited references16

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          American College of Cardiology Clinical Expert Consensus Document on Standards for Acquisition, Measurement and Reporting of Intravascular Ultrasound Studies (IVUS). A report of the American College of Cardiology Task Force on Clinical Expert Consensus Documents.

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            Characterization of human atherosclerosis by optical coherence tomography.

            High-resolution visualization of atherosclerotic plaque morphology may be essential for identifying coronary plaques that cause acute coronary events. Optical coherence tomography (OCT) is an intravascular imaging modality capable of providing cross-sectional images of tissue with a resolution of 10 micro m. To date, OCT imaging has not been investigated in sufficient detail to assess its accuracy for characterizing atherosclerotic plaques. The aim of this study was to establish objective OCT image criteria for atherosclerotic plaque characterization in vitro. OCT images of 357 (diseased) atherosclerotic arterial segments obtained at autopsy were correlated with histology. OCT image criteria for 3 types of plaque were formulated by analysis of a subset (n=50) of arterial segments. OCT images of fibrous plaques were characterized by homogeneous, signal-rich regions; fibrocalcific plaques by well-delineated, signal-poor regions with sharp borders; and lipid-rich plaques by signal-poor regions with diffuse borders. Independent validation of these criteria by 2 OCT readers for the remaining segments (n=307) demonstrated a sensitivity and specificity ranging from 71% to 79% and 97% to 98% for fibrous plaques, 95% to 96% and 97% for fibrocalcific plaques, and 90% to 94% and 90% to 92% for lipid-rich plaques, respectively (overall agreement, kappa=0.83 to 0.84). The interobserver and intraobserver reliabilities of OCT assessment were high (kappa values of 0.88 and 0.91, respectively). Objective OCT criteria are highly sensitive and specific for characterizing different types of atherosclerotic plaques. These results represent an important step in validating this new intravascular imaging modality and will provide a basis for the interpretation of intracoronary OCT images obtained from patients.
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              Regulation of coronary blood flow during exercise.

              Exercise is the most important physiological stimulus for increased myocardial oxygen demand. The requirement of exercising muscle for increased blood flow necessitates an increase in cardiac output that results in increases in the three main determinants of myocardial oxygen demand: heart rate, myocardial contractility, and ventricular work. The approximately sixfold increase in oxygen demands of the left ventricle during heavy exercise is met principally by augmenting coronary blood flow (~5-fold), as hemoglobin concentration and oxygen extraction (which is already 70-80% at rest) increase only modestly in most species. In contrast, in the right ventricle, oxygen extraction is lower at rest and increases substantially during exercise, similar to skeletal muscle, suggesting fundamental differences in blood flow regulation between these two cardiac chambers. The increase in heart rate also increases the relative time spent in systole, thereby increasing the net extravascular compressive forces acting on the microvasculature within the wall of the left ventricle, in particular in its subendocardial layers. Hence, appropriate adjustment of coronary vascular resistance is critical for the cardiac response to exercise. Coronary resistance vessel tone results from the culmination of myriad vasodilator and vasoconstrictors influences, including neurohormones and endothelial and myocardial factors. Unraveling of the integrative mechanisms controlling coronary vasodilation in response to exercise has been difficult, in part due to the redundancies in coronary vasomotor control and differences between animal species. Exercise training is associated with adaptations in the coronary microvasculature including increased arteriolar densities and/or diameters, which provide a morphometric basis for the observed increase in peak coronary blood flow rates in exercise-trained animals. In larger animals trained by treadmill exercise, the formation of new capillaries maintains capillary density at a level commensurate with the degree of exercise-induced physiological myocardial hypertrophy. Nevertheless, training alters the distribution of coronary vascular resistance so that more capillaries are recruited, resulting in an increase in the permeability-surface area product without a change in capillary numerical density. Maintenance of alpha- and ss-adrenergic tone in the presence of lower circulating catecholamine levels appears to be due to increased receptor responsiveness to adrenergic stimulation. Exercise training also alters local control of coronary resistance vessels. Thus arterioles exhibit increased myogenic tone, likely due to a calcium-dependent protein kinase C signaling-mediated alteration in voltage-gated calcium channel activity in response to stretch. Conversely, training augments endothelium-dependent vasodilation throughout the coronary microcirculation. This enhanced responsiveness appears to result principally from an increased expression of nitric oxide (NO) synthase. Finally, physical conditioning decreases extravascular compressive forces at rest and at comparable levels of exercise, mainly because of a decrease in heart rate. Impedance to coronary inflow due to an epicardial coronary artery stenosis results in marked redistribution of myocardial blood flow during exercise away from the subendocardium towards the subepicardium. However, in contrast to the traditional view that myocardial ischemia causes maximal microvascular dilation, more recent studies have shown that the coronary microvessels retain some degree of vasodilator reserve during exercise-induced ischemia and remain responsive to vasoconstrictor stimuli. These observations have required reassessment of the principal sites of resistance to blood flow in the microcirculation. A significant fraction of resistance is located in small arteries that are outside the metabolic control of the myocardium but are sensitive to shear and nitrovasodilators. The coronary collateral system embodies a dynamic network of interarterial vessels that can undergo both long- and short-term adjustments that can modulate blood flow to the dependent myocardium. Long-term adjustments including recruitment and growth of collateral vessels in response to arterial occlusion are time dependent and determine the maximum blood flow rates available to the collateral-dependent vascular bed during exercise. Rapid short-term adjustments result from active vasomotor activity of the collateral vessels. Mature coronary collateral vessels are responsive to vasodilators such as nitroglycerin and atrial natriuretic peptide, and to vasoconstrictors such as vasopressin, angiotensin II, and the platelet products serotonin and thromboxane A(2). During exercise, ss-adrenergic activity and endothelium-derived NO and prostanoids exert vasodilator influences on coronary collateral vessels. Importantly, alterations in collateral vasomotor tone, e.g., by exogenous vasopressin, inhibition of endogenous NO or prostanoid production, or increasing local adenosine production can modify collateral conductance, thereby influencing the blood supply to the dependent myocardium. In addition, vasomotor activity in the resistance vessels of the collateral perfused vascular bed can influence the volume and distribution of blood flow within the collateral zone. Finally, there is evidence that vasomotor control of resistance vessels in the normally perfused regions of collateralized hearts is altered, indicating that the vascular adaptations in hearts with a flow-limiting coronary obstruction occur at a global as well as a regional level. Exercise training does not stimulate growth of coronary collateral vessels in the normal heart. However, if exercise produces ischemia, which would be absent or minimal under resting conditions, there is evidence that collateral growth can be enhanced. In addition to ischemia, the pressure gradient between vascular beds, which is a determinant of the flow rate and therefore the shear stress on the collateral vessel endothelium, may also be important in stimulating growth of collateral vessels.
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                Author and article information

                Contributors
                +31-10-7038066 , +31-10-7044769 , d.duncker@erasmusmc.nl
                Journal
                Neth Heart J
                Netherlands Heart Journal
                Bohn Stafleu van Loghum (Heidelberg )
                1568-5888
                1876-6250
                9 September 2011
                9 September 2011
                October 2011
                : 19
                : 10
                : 442-446
                Affiliations
                [1 ]Department of Cardiology, Thoraxcenter, Cardiovascular Research School (COEUR), Erasmus University Medical Center, Dr. Molewaterplein 50-60, 3015 GE Rotterdam, the Netherlands
                [2 ]Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
                [3 ]Interuniversity Cardiology Institute of the Netherlands (ICIN-KNAW), Catharijnesingel 52, 3511 GC Utrecht, the Netherlands
                Article
                187
                10.1007/s12471-011-0187-0
                3189316
                21904848
                2babf689-2992-4641-b4f3-c86e9cf3f78f
                © The Author(s) 2011
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                Icin
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                © Springer Media / Bohn Stafleu van Loghum 2011

                Cardiovascular Medicine
                Cardiovascular Medicine

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