Skip to main content

MINI REVIEW article

Front. Cardiovasc. Med., 12 April 2019
Sec. Cardiovascular Biologics and Regenerative Medicine
This article is part of the Research Topic Cutting Edge Methodologies in Experimental Cardiovascular Research View all 10 articles

Mouse Models for Atherosclerosis Research—Which Is My Line?

\r\nSara OppiSara Oppi1Thomas F. Lüscher,Thomas F. Lüscher1,2Sokrates Stein*Sokrates Stein1*
  • 1Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland
  • 2Heart Division, Royal Brompton & Harefield Hospitals and Imperial College, London, United Kingdom

Atherosclerosis is one of the primary causes of cardiovascular disease and mortality. This chronic immunometabolic disease evolves during decades in humans and encompasses different organs and immune cell types, as well as local and systemic processes that promote the progression of the disease. The most frequently used animal model to study these atherogenic processes and inter-organ crosstalk in a short time frame are genetically modified mouse models. Some models have been used throughout the last decades, and some others been developed recently. These models have important differences in cholesterol and lipoprotein metabolism, reverse cholesterol transport pathway, obesity and diabetes as well as inflammatory processes. Therefore, the disease develops and progresses differently in the various mouse models. Since atherosclerosis is a multifaceted disease and many processes contribute to its progression, the choice of the right mouse model is important to study specific aspects of the disease. We will describe the different mouse models and provide a roadmap to facilitate current and future atherosclerosis researchers to choose the right model depending on their scientific question.

Background

Atherosclerosis is a chronic immunometabolic disease and remains asymptomatic until a plaque becomes large enough to obstruct the lumen to cause ischemic pain or ruptures and causes a myocardial infarction, stroke, or peripheral artery disease. At the early stage, the disease is driven by the retention of cholesterol-rich, apolipoprotein B-containing lipoproteins at specific predilection sites such as bifurcations. High level of plasma low-density lipoprotein (LDL)-cholesterol is the most important risk factor promoting the development and progression of atherosclerosis. Lipoproteins that accumulate in the arterial wall undergo various modifications, such as oxidation and carbamylation. These modified lipoproteins and other pro-inflammatory triggers mediate the activation of vascular endothelial cells (Figure 1). In turn, activated endothelial cells express adhesion molecules, which bind to and recruit circulating innate and adaptive immune cells, such as monocytes and T cells (Figure 1). Within the intima, monocytes differentiate into macrophages and ingest modified lipoproteins, becoming cholesterol-laden foam cells (1). Plaque macrophages express different scavenger receptors that recognize and mediate the uptake modified lipoprotein antigens, such as oxidized lipoproteins, hence promoting foam cell formation and a pro-inflammatory polarization (Figure 1) (2). The excessive storage of cholesterol esters leads to a defective esterification pathway, thus resulting in a consistent accumulation of free cholesterol that forms cholesterol crystals that damage the cells and activate apoptotic pathways. Efferocytosis, i.e., the phagocytosis of apoptotic and necrotic cells, gets impaired and promotes a further accumulation of foam cell debris and the release of inflammatory mediators that together potentiate the inflammation of the arterial wall (3). Additionally, foam cells release enzymes that degrade the extracellular matrix, thus increasing plaque vulnerability and the eventual risk of rupture, which would lead to platelet aggregation, blood coagulation and thrombus formation (Figure 1) (1). The development and stability of atherosclerotic plaques is also affected by inflammatory cytokines that are released by different immune cells, such as TNF-α and IFN-γ (4). These released cytokines induce an intra-plaque immune response and promote vascular smooth muscle cells (VSMCs) death, thus destabilizing the matrix of the plaques. Moreover, other cells and organs also contribute to the immunometabolic dysregulation happening during atherosclerosis development. Therefore, it is advisable to compare the different atherosclerosis mouse models and choose one that resembles the aspects of the human pathology as good as possible.

FIGURE 1
www.frontiersin.org

Figure 1. Model of atherogenesis. This scheme illustrates the development of an atherosclerotic plaque from left to right in a longitudinal section of an arterial vessel. (1) Upon activation by metabolic or inflammatory triggers, endothelial cells express adhesion molecules (Ad. mol.) that promote the recruitment of immune cells, such as blood monocytes (Mono). These cells then infiltrate the arterial intima, where monocyte differentiate into macrophages (Macro) and interact with other immune cells, such as neutrophils (Neutro) and T cells. (2) Increased uptake of modified lipoproteins via scavenger receptors or decreased cholesterol efflux accelerates the accumulation of intracellular free cholesterol and cholesteryl ester-loaded lipid droplets that promote foam cell formation. (3) Macrophage foam cells eventually die and fall apart, thereby forming a necrotic core. (4) Advanced, vulnerable plaques can rupture and thereby form an arterial thrombus, which can lead to a myocardial infarction or stroke. RBC, red blood cell; VSMC, vascular smooth muscle cell.

Animal Models

The pathophysiology of atherosclerosis in humans is a complex process that is triggered by various risk factors, including aging, hyperlipidemia, hypertension and diabetes, which lead to an immunometabolic dysregulation. The study of the immunometabolic processes and molecular mechanisms driving the disease requires animal models that mimic the human pathophysiology. Notably, there is no perfect animal model that recapitulate all the features of the human disease. Several animal models have been studied for atherosclerosis research over the last decades, and all of them show advantages and disadvantages. Different animal models can be chosen depending on the focus of the research. In terms of human physiology similarities and clinical relevance, non-human primates are the best model for atherosclerosis investigation. However, non-human primates are expensive to maintain, they develop the disease over a long time, there is a high risk of infections, and they have high ethical hurdles (5, 6). Alternative animal models should be cheaper, easier to handle and reproduce the human disease as good as possible (7). Moreover, they should be appropriate to perform genetic, pharmacological and/or interventional studies.

Of Mice and Men

Mouse models meet these criteria at least in part and are thus are the most common animal model used for atherosclerosis studies. Nevertheless, mice also display major genetic and physiological differences compared to humans (8). One of the most evident difference between mice and humans resides in the lipoprotein metabolism. Mice are considered as a high-density lipoprotein (HDL) models since most of the cholesterol is transported in HDL particles, and not in LDL as in humans. Consequently, mice carry most plasma cholesterol in HDL particles and overall have massively lower cholesterol levels, which confers atherosclerosis protection due to an improved reverse cholesterol transport pathway (9). One reason for this difference is the lack of the cholesteryl ester transfer protein (CETP) in mice. In fact, CETP promotes the transfer of cholesterol ester from HDL to very low-density lipoproteins (VLDL) and of triglycerides from VDLD to HDL. Humans display a high expression CETP, which in turn leads to increased VLDL- and LDL-cholesterol levels.

Another important difference between mice and humans resides in the different bile acids composition. Additionally to the classical bile acid species that are synthesized in humans, mice produce α- and β-muricholic acids, which are more hydrophilic and thus reduce the uptake of cholesterol in the intestine (10). Moreover, the different composition of secondary and tertiary bile acids (e.g., tauro vs. glycin conjugation) and increased synthesis of bile acids is another reason for an improved reverse cholesterol transport and fecal cholesterol excretion in mice (11). These differences in lipoprotein metabolism and bile acids composition confer the mice a resistant to develop atherosclerosis.

To bypass these limitations and provide an appropriate model for the pathophysiology of the disease, dietary and genetic manipulations were developed to generate mouse models suitable for atherosclerosis studies. The standard chow diet of mice usually contains a low content of cholesterol (0.02–0.03%) and fats (5–6%). This low lipid content does not suffice to promote the development of atherosclerosis (12). Therefore, scientists use ‘humanized diets’, such as the Western-type, containing around 21% fat and 0.15% cholesterol, or the atherogenic diets, which contain more than 1% cholesterol but the same amount of fat. The administration of a high-fat-diet does not induce atherogenesis in most wild-type mouse strains, but it efficiently induces disease development in atherosclerosis-prone genetic mouse models.

These atherosclerosis-prone genetic mouse models were generated by targeting different genes, and they all trigger atherosclerosis development by altering the lipoprotein profile toward an increased VLDL- and LDL-cholesterol content, thus generating a lipoprotein profile that is comparable to humans (1317).

Despite the disease development, the predisposed sites for lesion development differ between mice and humans. Plaques in humans preferentially develop in the coronary and carotid arteries, and progress to larger fibrous atheroma. In mice, lesions are mainly localized in the aortic sinus, proximal aorta and aortic arch and brachiocephalic trunk, and do not progress to very advanced stages (18). In fact, even genetically altered mice do not develop plaque rupture or coronary lesions leading to myocardial ischemia or infarction. In this review, we will describe the different transgenic mouse models and provide a roadmap to guide future researchers to choose an adequate model based on the scientific question that needs to be addressed (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Roadmap to facilitate the choice of an atherosclerotic mouse model. This scheme should help current and future researchers to choose the most appropriate atherosclerotic mouse model based on their specific research question.

Atherogenic Mouse Strains

Although mice are classified as high-density lipoprotein models, there are important strain-specific differences in lipoprotein metabolism and inflammatory susceptibility. BALB/c, C3H strains have comparable HDL levels, while the C57Bl/6 strain has much lower HDL levels (19). Additionally, C57Bl/6 mice become obese, diabetic and susceptible to lesion development when fed with an atherogenic diet (20). Another important feature that makes the C57BI/6 mice an ideal model for the study of atherosclerosis and metabolic syndrome is the polarization toward the Th1 profile. C57Bl/6 mice contain T cells that mainly produce Th1 cytokines, especially high interferon-γ (IFN-γ), while other strains such as the BALB/c mice release more Th2 cytokines and less IFN-γ (21). The Th1 profile of C57Bl/6 mice makes the model even more pro-atherogenic. Indeed most of the pathogenic T cells in atherosclerosis show a Th1 profile, characterized by the production of high levels of IFN-γ that activate monocytes/macrophages and dendritic cells, increase the expression of matrix metalloproteinases and prevent the collagen disposition from VSMCs, thus destabilizing the fibrous cap and promoting lesion development (22).

Cholesterol and Lipoprotein Metabolism

Despite of the propensity of the C57Bl/6 strain to develop the disease, different strategies were produced to increase LDL-cholesterol and thereby the atherosclerotic susceptibility of the C57Bl/6 strain, including the disruption of the low-density lipoprotein receptor (Ldlr-/-), the deletion of the apolipoprotein E (Apoe-/-), or the ectopic introduction of a mutant protein convertase subtilisin/kexin type 9 (Pcsk9) gene.

APOE is part of the structure of chylomicrons remnants, VLDL and HDL, and it binds to the LDLR, VLDL receptor (VLDLR) and LDLR-related protein (LRP) in the liver to facilitate the clearance of plasma chylomicrons and VLDL remnants. Consequently, the genetic deletion of Apoe in mice results in increased levels of plasma cholesterol. Apoe knockout mice show a significant increase of total plasma cholesterol compared to wild-type mice under chow diet: 400–600 and 75–110 mg/dl, respectively (23). Of note, humans usually have total plasma cholesterol levels below 200 mg/dl; while levels over 240 mg/dl are considered to be high and are commonly related to familial hypercholesteremia (i.e., mutations in the LDL- or PCSK9 gene). That explains why the deletion of Apoe is sufficient to drive a massive hypercholesterolemia under normal diet and to develop spontaneous lesions. Feeding Apoe-/- mice with a high cholesterol diet additionally increases plasma cholesterol levels above 1,000 mg/dl, thus driving an extensive and accelerated atherosclerosis development. Lesion distribution in Apoe–/– mice are similar to humans, with a predominance in the aortic root, carotid artery, and aortic branches. However, the Apoe–/– model shows a different lipoprotein profile from humans since the majority of plasma cholesterol is carried by VLDL and chylomicrons particles, whereas it is mainly transported by LDL in humans. Another limitation of this mouse model is that despite the accelerated atherosclerosis development, the lesions rarely rupture and hence do not lead to thrombosis, whereas vascular occlusion is common in humans (24). In humans, different isoforms of APOE are linked to altered lipoprotein profiles and increased cardiovascular mortality (25). Individuals carrying the APOE4 allele have more predisposition to develop cardiovascular disease compared to the APOE2 and APOE3 isoforms. In fact, the APOE4 isoform increases oxidative stress and inflammation, hence promoting disease development (26).

A model closer to the human situation to study altered cholesterol metabolism is the Ldlr knockout mouse. The LDLR is a membrane receptor located on the surface of many cell types and its function is to mediate the endocytosis of circulating LDL. The genetic deletion of the Ldlr increases cholesterol levels to 200–300 mg/dl on chow diet, and to about 1000 mg/dl on an atherogenic diet (15). The lesions preferentially develop in the proximal aorta at early stages and along the distal aorta at more advanced stages (27). The main aspect that makes Ldlr a favorable model to study cholesterol metabolism over the Apoe knockouts is its closer resemblance to human hypercholesterolemia since most cholesterol is transported by LDL particles (28). In humans, over 600 mutations of the LDLR gene have been reported, several of them causing familial hypercholesterolemia, a frequent genetic disorder associated with high levels of LDL-cholesterol and atherosclerosis development (29).

Reverse Cholesterol Transport

In the reverse cholesterol transport (RCT) peripheral cholesterol is transferred to HDL particles and then transported to the liver. Within the liver it can then be further metabolized, be converted to bile acids, or be directly excreted via the bile. RCT is therefore regulated at various different sites, including the cholesterol efflux in peripheral tissues and cells, the exchange of lipids between lipoproteins in the blood, and the uptake, metabolization and biliary excretion in the liver (30).

APOE plays a central role in peripheral and hepatic RCT (31). Additionally, macrophages synthesize APOE and promote cholesterol efflux, and interestingly the macrophage-specific deletion of Apoe affects peripheral RCT in vivo (3234). Moreover, APOE-positive macrophages promote proper RCT in Apoe knockout mice (34). Therefore, the Apoe deletion does affect both peripheral and hepatic RCT. Given the fact that the lipoprotein profile of Ldlr–/– mice is closer to humans and considering the presence of APOE in the system, the Ldlr knockout is the favored model for RCT and lipoprotein studies.

Another suitable model is the Apoe*3-Leiden.CETP mouse line. This model has increased VLDL/LDL-cholesterol because of the expression of a human CETP, reduced peripheral cholesterol efflux, and severe atherosclerosis development (35). Moreover, Apoe*3-Leiden.CETP mice fed a high-fat high-cholesterol diet for 6 months mimic changes in lipid profiles observed in humans suffering from the metabolic syndrome, and may therefore be the preferred model to study age-related changes in lipid metabolism and reverse cholesterol transport (36, 37).

Obesity and Type-2 Diabetes

Obesity, insulin resistance and type-2 diabetes are reaching epidemic proportions world-wide, correlate with atherosclerosis development, and are strong predictors of cardiovascular mortality (38). Currently, there is no ideal mouse model that resembles all features of human diabetes, although several models have been established to study diabetes-accelerated atherosclerosis development, including genetic manipulations and specific diets (39). Diabetogenic diets that are rich in fats and sucrose induce obesity in C57Bl/6 mice, making this strain ideal to study the development of type-2 diabetes and atherosclerosis (40). Ldlr–/– mice are more susceptible to develop diabetes compared to the Apoe–/– mice and the control wildtype mice under diabetogenic diet feeding. In fact, Ldlr–/– mice have an increased body weight caused by an accumulation of subcutaneous adiposity, have high glucose levels and develop an insulin resistance upon diabetogenic diet challenge (41). This diabetic phenotype is not observed in Apoe–/– mice, possibly due to an increased rate of hepatic fatty acid oxidation (41). Conversely, on a high fat diet, both Apoe–/– and Ldlr–/– mice develop features of type 2 diabetes and promote atherosclerosis development (42, 43). Therefore, the choice of the diet is very important in this context.

Further models were generated by crossbreeding genetic models of type-2 diabetes, such as leptin (ob/ob) and leptin receptor (db/db) deficient mice, with atherosclerotic mouse models. These genetic models enable the study of the disease development under chow diet (39). Leptins are hormones synthesized by adipocytes, released into the bloodstream, and exerting their main functions by binding to leptin receptors at the hypothalamus to regulate the appetite and thus food intake. Moreover, leptins increase the energy expenditure that translate into an elevation in body temperature and increase in oxygen consumption. Therefore, deficiency of leptin or the leptin receptor leads an impaired energy expenditure and increased food intake, and thus to obesity (44, 45). Moreover, genetic deficiency of the leptin axis impairs the immune system and increases the susceptibility to infections (46). Thus, leptin or the leptin receptor-deficient mice display common features of the immuno-metabolic dysfunction that are observed in obesity and diabetes mellitus. Mice that develop both diabetes and atherosclerosis are a good model for the study diabetes-accelerated atherosclerosis development. For example, Apoe–/– db/db mice develop obesity, hyperinsulinemia, dyslipidemia and have a fast atherosclerosis development at 20 weeks of age compared to the control Apoe–/– mice (47). Ldlr–/– ob/ob mice get obese and show hyperglycemia, hypercholesterolemia and spontaneous lesions development under chow diet (48). In conclusion, multiple mouse models can be used to study diabetes-accelerated atherosclerosis, but the interpretation of the data has to be cautious given the various functions of leptin in many physiological processes. We refer to the review of Wu and Huan for further information on this topic (39).

Inflammatory Processes

Inflammatory and immune processes play an important function in early steps of plaque formation, but also in advanced stages as reveal by the recent CANTOS trial (49). Lipoprotein oxidation, endothelial cell activation, macrophage activation and impaired efferocytosis, VSMCs proliferation, and platelet aggregation are some of the best characterized processes that contributes to the arterial wall inflammation, lesion expansion, and atherothrombosis. APOE is a multifunctional protein that affects each of these inflammatory processes. Functional APOE protein inhibits lipoproteins oxidation, while Apoe–/– mice display increased peroxidation of lipoproteins (50). Apoe–/– mice also show elevated levels of endothelial cell adhesion molecules, thus triggering the recruitment of monocytes and thymocytes into the subintimal space (23, 51). Moreover, APOE inhibits VSMC proliferation and migration, and consequently Apoe–/– mice display increases proliferation and migration of VSMCs (52). Additionally, APOE inhibits platelet aggregation, hence displaying an additional anti-atherogenic function (53). Efferocytosis, the phagocytic clearance of dead cells and cellular debris, plays important functions in the resolution of inflammation and is mainly mediated by macrophages and other immune phagocytes (54). The APOE protein has been shown to exert important functions in this process both in vivo and in vitro (55). Indeed, APOE promotes the ingestion of apoptotic cells in macrophages, and thus Apoe-deficient mice display impaired efferocytosis and an accumulation of apoptotic cells and cellular fragments in the vessel wall, further promoting lesion development. These anti-inflammatory properties of APOE, combined with its impact on lipoprotein metabolism, explain why Apoe knockout mice display a very strong development of atherosclerosis compared to other mouse models. Therefore, other models with a functional APOE protein, such as the Ldlr–/–, should be the primary choice to study inflammatory processes in atherosclerosis development.

Immunometabolic Regulation

Currently, one of the most interesting research questions is to assess the impact of inflammatory and immune processes on lipid and lipoprotein metabolism, and vice versa. The use of the Apoe–/– or Ldlr–/– models to address this question is limited due to their strong impact on inflammatory processes and/or lipoprotein metabolism. Another model that has been developed recently by two different groups are the PCSK9-AAV mouse lines (16, 17). These mice have no genetic modifications and express APOE and LDLR at normal levels. Nevertheless, the introduction of a mouse or human gain-of-function PCSK9 mutant leads to increased total plasma cholesterol (above 1,000 mg/dl) as well as VLDL- and LDL-cholesterol, and the development of atherosclerosis upon Western diet feeding. One further advantage of these lines is that a single adeno-associated virus (AAV) injection is sufficient to generate new mouse models in a much quicker time compared to conventional crossbreeding to Apoe–/– or Ldlr–/– mice. Another advantage is that immunometabolic processes can be studied without the confounding effects from the lack of APOE or LDLR. Although the use of AAVs seems to be pretty save and without pathogenicity, one might still consider a possible anti-viral host immune response of the organism (56).

Atherothrombotic Studies

A clear limitation of the above described mouse models is that despite developing atherosclerotic lesions, these lesions rarely progress to advanced stages with atherothrombotic vascular occlusion that are observed in humans. Consequently, no spontaneous plaque rupture is observed in these mouse lines. To overcome this limitation a group of Belgium scientists developed and characterized a very interesting mouse model that displays many features of advanced atherosclerotic plaques (57). The mouse model was created by crossbreeding mice with a mutant fibrillin-1 allele (Fbn1C1039G) with Apoe knockout mice, thus generating Apoe−/− Fbn1C1039G+/− mice. In these mice, the Fbn1 mutation leads to the fragmentation of elastic fibers, which in turn promotes arterial stiffening and the development of large vulnerable atherosclerotic plaques that eventually rupture (58). Moreover, these mice display increased inflammation and degradation of the extracellular matrix within plaques, and an increased blood-brain barrier (BBB) permeability that leads to the development of xanthomas in the brain upon prolonged exposure to a Western diet (58, 59). Given its strong phenotype and clinical relevance, this line is currently the most interesting genetic mouse model to study advanced atherosclerosis and atherothrombosis in myocardial infarction or ischemic stroke.

Another mouse model that promotes plaque destabilization and stimulates plaque rupture as well as spontaneous atherothrombosis consists of Apoe-deficient mice fed with a high-fat diet for 4 weeks and a subsequent infusion of angiotensin II for 4 weeks. The continuous infusion of angiotensin II accelerates the destabilization and vulnerability of the plaques as well as abdominal aortic aneurysm (60). Angiotensin II increases the blood pressure, recruits monocytes, activates macrophages and increases the oxidative stress (61). Therefore, the Apoe-deficient mice fed with high-fat diet and subsequent angiotensin II infusion represents an alternative model to study advanced atherosclerosis.

Conclusion

The mouse model continues to be the best model organism to decipher the underlying genetic, epigenetic and environmental-induced mechanisms leading to disease development and progression. The Ldlr knockout model resembles the human lipoprotein profile pretty well and is therefore a suitable model to study cholesterol and lipoprotein metabolism. Even closer to the human profile are the Apoe*3-Leiden.CETP mice, which are certainly the model of choice to study human CETP but also changes in lipid profiles that are also observed in humans suffering from the metabolic syndrome. Obesity and insulin resistance are often associated with type 2 diabetes and increase the risk to develop atherosclerosis. Ldlr and Apoe knockout mice alone or in combination with a leptin or leptin receptor deficiency are appropriate to evaluate the metabolic syndrome in diet-induced studies or under normal chow, respectively. Inflammation is another important contributor of the disease development and the Ldlr–/– model should preferentially be used over the Apoe–/– mice, although other newer models such as the PCSK9-AAV approach offer an attractive alternative. Finally, the Apoe −/− Fbn1C1039G+/− mouse line is emerging as a new model to study atherothrombosis, myocardial infarction, and ischemic stroke. These mice form large and vulnerable atherosclerotic plaques that eventually rupture. In conclusions, the study of the diverse processes promoting atherosclerosis requires different mouse models, and the provided roadmap should facilitate current and future researchers to choose an adequate mouse model for their studies (Figure 2).

Perspective

Currently, a very exciting field is to explore the role of long non-coding RNA (lncRNA) in atherosclerosis and cardiovascular diseases (62). For example, the lncRNA LeXis regulates hepatic lipid accumulation and plasma cholesterol levels, and thereby decreases atherogenesis in Ldlr knockout mice (63), and MeXis, a lncRNA that is highly expressed in mouse macrophages, promotes macrophage cholesterol efflux, HDL-driven reverse cholesterol transport, and thus reduces macrophage foam cell formation and atherosclerosis development (64). Notably, another lncRNA, CHROME, has been identified as an alternatively regulator of the cholesterol efflux in primates and its levels are elevated in plasma and atherosclerotic lesions of individuals with coronary artery disease (65), highlighting the translational value of mouse studies.

Future studies aimed at identifying and describing new triggers and mechanisms regulating atherosclerosis development will develop novel mouse models to address their specific questions. Already now most studies are using tissue-specific overexpression or knockout mouse models, but also starting to address the function of specific mutations and not yet well-described posttranslational protein modifications, such as SUMOylation, in atherogenesis and cardiovascular diseases (6670). Moreover, the incredibly fast development of the Crispr/Cas9 system led to the development of new mouse and also larger animal models to study atherogenesis and will continue to accelerate basic and translational cardiovascular research (7176).

Author Contributions

SO and SS explored the literature. SO, TL, and SS wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We acknowledge support to SS by the Swiss National Science Foundation (PZOOP3_161521), The Novartis Foundation for medical-biological Research (#16B103), the Olga-Mayenfisch Foundation, the OPO foundation, and the Swiss Heart Foundation.

References

1. Libby P, Ridker PM, Hansson GK. Progress and challenges in translating the biology of atherosclerosis. Nature. (2011) 473:317–25. doi: 10.1038/nature10146

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Moore KJ, Freeman MW. Scavenger receptors in atherosclerosis: beyond lipid uptake. Arterioscler Thromb Vasc Biol. (2006) 26:1702–11. doi: 10.1161/01.ATV.0000229218.97976.43

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Moore KJ, Tabas I. Macrophages in the pathogenesis of atherosclerosis. Cell. (2011) 145:341–55. doi: 10.1016/j.cell.2011.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Andersson J, Libby P, Hansson GK. Adaptive immunity and atherosclerosis. Clin Immunol. (2010) 134:33–46. doi: 10.1016/j.clim.2009.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Mukhopadhyay R. Mouse models of atherosclerosis: explaining critical roles of lipid metabolism and inflammation. J Appl Genet. (2013) 54:185–92. doi: 10.1007/s13353-013-0134-4

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Burm SM, Prins JB, Langermans J, Bajramovic JJ. Alternative methods for the use of non-human primates in biomedical research. ALTEX. (2014) 31:520–9. doi: 10.14573/altex.1406231

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Emini Veseli B, Perrotta P, De Meyer GRA, Roth L, Van der Donckt C, Martinet W, et al. Animal models of atherosclerosis. Eur J Pharmacol. (2017) 816:3–13. doi: 10.1016/j.ejphar.2017.05.010

CrossRef Full Text | Google Scholar

8. von Scheidt M, Zhao Y, Kurt Z, Pan C, Zeng L, Yang X, et al. Applications and limitations of mouse models for understanding human atherosclerosis. Cell Metab. (2017) 25:248–61. doi: 10.1016/j.cmet.2016.11.001

CrossRef Full Text | Google Scholar

9. Barter PJ, Brewer HB, Jr., Chapman MJ, Hennekens CH, Rader DJ, Tall AR. Cholesteryl ester transfer protein: a novel target for raising HDL and inhibiting atherosclerosis. Arterioscler Thromb Vasc Biol. (2003) 23:160–7. doi: 10.1161/01.ATV.0000054658.91146.64

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Takahashi S, Fukami T, Masuo Y, Brocker CN, Xie C, Krausz KW, et al. Cyp2c70 is responsible for the species difference in bile acid metabolism between mice and humans. J Lipid Res. (2016) 57:2130–7. doi: 10.1194/jlr.M071183

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Xu Y, Li F, Zalzala M, Xu J, Gonzalez FJ, Adorini L, et al. Farnesoid X receptor activation increases reverse cholesterol transport by modulating bile acid composition and cholesterol absorption in mice. Hepatology. (2016) 64:1072–85. doi: 10.1002/hep.28712

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Almeida-Suhett CP, Scott JM, Graham A, Chen Y, Deuster PA. Control diet in a high-fat diet study in mice: regular chow and purified low-fat diet have similar effects on phenotypic, metabolic, and behavioral outcomes. Nutr Neurosci. (2017) 22:1–10. doi: 10.1080/1028415X.2017.1349359

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Zhang SH, Reddick RL, Piedrahita JA, Maeda N. Spontaneous hypercholesterolemia and arterial lesions in mice lacking apolipoprotein E. Science. (1992) 258:468–71. doi: 10.1126/science.1411543

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ishibashi S, Brown MS, Goldstein JL, Gerard RD, Hammer RE, Herz J. Hypercholesterolemia in low density lipoprotein receptor knockout mice and its reversal by adenovirus-mediated gene delivery. J Clin Invest. (1993) 92:883–93. doi: 10.1172/JCI116663

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ishibashi S, Goldstein JL, Brown MS, Herz J, Burns DK. Massive xanthomatosis and atherosclerosis in cholesterol-fed low density lipoprotein receptor-negative mice. J Clin Invest. (1994) 93:1885–93. doi: 10.1172/JCI117179

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bjorklund MM, Hollensen AK, Hagensen MK, Dagnaes-Hansen F, Christoffersen C, Mikkelsen JG, et al. Induction of atherosclerosis in mice and hamsters without germline genetic engineering. Circ Res. (2014) 114:1684–9. doi: 10.1161/CIRCRESAHA.114.302937

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Roche-Molina M, Sanz-Rosa D, Cruz FM, Garcia-Prieto J, Lopez S, Abia R, et al. Induction of sustained hypercholesterolemia by single adeno-associated virus-mediated gene transfer of mutant hPCSK9. Arterioscler Thromb Vasc Biol. (2015) 35:50–9. doi: 10.1161/ATVBAHA.114.303617

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Breslow JL. Mouse models of atherosclerosis. Science. (1996) 272:685–8. doi: 10.1126/science.272.5262.685

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Paigen B, Holmes PA, Mitchell D, Albee D. Comparison of atherosclerotic lesions and HDL-lipid levels in male, female, and testosterone-treated female mice from strains C57BL/6, BALB/c, and C3H. Atherosclerosis. (1987) 64:215–21. doi: 10.1016/0021-9150(87)90249-8

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Schreyer SA, Wilson DL, LeBoeuf RC. C57BL/6 mice fed high fat diets as models for diabetes-accelerated atherosclerosis. Atherosclerosis. (1998) 136:17–24. doi: 10.1016/S0021-9150(97)00165-2

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Watanabe H, Numata K, Ito T, Takagi K, Matsukawa A. Innate immune response in Th1- and Th2-dominant mouse strains. Shock. (2004) 22:460–6. doi: 10.1097/01.shk.0000142249.08135.e9

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Mallat Z, Taleb S, Ait-Oufella H, Tedgui A. The role of adaptive T cell immunity in atherosclerosis. J Lipid Res. (2009) 50(Suppl):S364–9. doi: 10.1194/jlr.R800092-JLR200

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Nakashima Y, Plump AS, Raines EW, Breslow JL, Ross R. ApoE-deficient mice develop lesions of all phases of atherosclerosis throughout the arterial tree. Arterioscler Thromb. (1994) 14:133–40. doi: 10.1161/01.ATV.14.1.133

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Smith JD, Breslow JL. The emergence of mouse models of atherosclerosis and their relevance to clinical research. J Intern Med. (1997) 242:99–109. doi: 10.1046/j.1365-2796.1997.00197.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Mahley RW. Apolipoprotein E: from cardiovascular disease to neurodegenerative disorders. J Mol Med. (2016) 94:739–46. doi: 10.1007/s00109-016-1427-y

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Jofre-Monseny L, Minihane AM, Rimbach G. Impact of apoE genotype on oxidative stress, inflammation and disease risk. Mol Nutr Food Res. (2008) 52:131–45. doi: 10.1002/mnfr.200700322

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Tangirala RK, Rubin EM, Palinski W. Quantitation of atherosclerosis in murine models: correlation between lesions in the aortic origin and in the entire aorta, and differences in the extent of lesions between sexes in LDL receptor-deficient and apolipoprotein E-deficient mice. J Lipid Res. (1995) 36:2320–8.

PubMed Abstract | Google Scholar

28. Defesche JC. Low-density lipoprotein receptor–its structure, function, and mutations. Semin Vasc Med. (2004) 4:5–11. doi: 10.1055/s-2004-822993

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Goldstein JL, Brown MS. Molecular medicine. The cholesterol quartet. Science. (2001) 292:1310–2. doi: 10.1126/science.1061815

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Rosenson RS, Brewer HB, Jr., Davidson WS, Fayad ZA, Fuster V, Goldstein J, et al. Cholesterol efflux and atheroprotection: advancing the concept of reverse cholesterol transport. Circulation. (2012) 125:1905–19. doi: 10.1161/CIRCULATIONAHA.111.066589

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wagner T, Bartelt A, Schlein C, Heeren J. Genetic dissection of tissue-specific apolipoprotein E function for hypercholesterolemia and diet-induced obesity. PLoS ONE. (2015) 10:e0145102. doi: 10.1371/journal.pone.0145102

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Basu SK, Brown MS, Ho YK, Havel RJ, Goldstein JL. Mouse macrophages synthesize and secrete a protein resembling apolipoprotein E. Proc Natl Acad Sci USA. (1981) 78:7545–9. doi: 10.1073/pnas.78.12.7545

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Basu SK, Ho YK, Brown MS, Bilheimer DW, Anderson RG, Goldstein JL. Biochemical and genetic studies of the apoprotein E secreted by mouse macrophages and human monocytes. J Biol Chem. (1982) 257:9788–95.

PubMed Abstract | Google Scholar

34. Zanotti I, Pedrelli M, Poti F, Stomeo G, Gomaraschi M, Calabresi L, et al. Macrophage, but not systemic, apolipoprotein E is necessary for macrophage reverse cholesterol transport in vivo. Arterioscler Thromb Vasc Biol. (2011) 31:74–80. doi: 10.1161/ATVBAHA.110.213892

CrossRef Full Text | Google Scholar

35. Westerterp M, van der Hoogt CC, de Haan W, Offerman EH, Dallinga-Thie GM, Jukema JW, et al. Cholesteryl ester transfer protein decreases high-density lipoprotein and severely aggravates atherosclerosis in APOE*3-Leiden mice. Arterioscler Thromb Vasc Biol. (2006) 26:2552–9. doi: 10.1161/01.ATV.0000243925.65265.3c

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kuhnast S, van der Tuin SJ, van der Hoorn JW, van Klinken JB, Simic B, Pieterman E, et al. Anacetrapib reduces progression of atherosclerosis, mainly by reducing non-HDL-cholesterol, improves lesion stability and adds to the beneficial effects of atorvastatin. Eur Heart J. (2015) 36:39–48. doi: 10.1093/eurheartj/ehu319

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Paalvast Y, Gerding A, Wang Y, Bloks VW, van Dijk TH, Havinga R, et al. Male apoE*3-Leiden.CETP mice on high-fat high-cholesterol diet exhibit a biphasic dyslipidemic response, mimicking the changes in plasma lipids observed through life in men. Physiol. Rep. (2017) 5:e13376. doi: 10.14814/phy2.13376

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Bhupathiraju SN, Hu FB. Epidemiology of obesity and diabetes and their cardiovascular complications. Circ Res. (2016) 118:1723–35. doi: 10.1161/CIRCRESAHA.115.306825

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Wu KK, Huan Y. Diabetic atherosclerosis mouse models. Atherosclerosis. (2007) 191:241–9. doi: 10.1016/j.atherosclerosis.2006.08.030

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Surwit RS, Kuhn CM, Cochrane C, McCubbin JA, Feinglos MN. Diet-induced type II diabetes in C57BL/6J mice. Diabetes. (1988) 37:1163–7. doi: 10.2337/diab.37.9.1163

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Schreyer SA, Vick C, Lystig TC, Mystkowski P, LeBoeuf RC. LDL receptor but not apolipoprotein E deficiency increases diet-induced obesity and diabetes in mice. Am J Physiol Endocrinol Metab. (2002) 282:E207–14. doi: 10.1152/ajpendo.2002.282.1.E207

CrossRef Full Text | Google Scholar

42. Collins AR, Meehan WP, Kintscher U, Jackson S, Wakino S, Noh G, et al. Troglitazone inhibits formation of early atherosclerotic lesions in diabetic and nondiabetic low density lipoprotein receptor-deficient mice. Arterioscler Thromb Vasc Biol. (2001) 21:365–71. doi: 10.1161/01.ATV.21.3.365

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Phillips JW, Barringhaus KG, Sanders JM, Yang Z, Chen M, Hesselbacher S, et al. Rosiglitazone reduces the accelerated neointima formation after arterial injury in a mouse injury model of type 2 diabetes. Circulation. (2003) 108:1994–9. doi: 10.1161/01.CIR.0000092886.52404.50

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Hamrick MW. Role of the cytokine-like hormone leptin in muscle-bone crosstalk with aging. J Bone Metab. (2017) 24:1–8. doi: 10.11005/jbm.2017.24.1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Hussain Z, Khan JA. Food intake regulation by leptin: mechanisms mediating gluconeogenesis and energy expenditure. Asian Pac J Trop Med. (2017) 10:940–4. doi: 10.1016/j.apjtm.2017.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

46. La Cava A. Leptin in inflammation and autoimmunity. Cytokine. (2017) 98:51–8. doi: 10.1016/j.cyto.2016.10.011

CrossRef Full Text | Google Scholar

47. Wu KK, Wu TJ, Chin J, Mitnaul LJ, Hernandez M, Cai TQ, et al. Increased hypercholesterolemia and atherosclerosis in mice lacking both ApoE and leptin receptor. Atherosclerosis. (2005) 181:251–9. doi: 10.1016/j.atherosclerosis.2005.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Kennedy AJ, Ellacott KL, King VL, Hasty AH. Mouse models of the metabolic syndrome. Dis Model Mech. (2010) 3:156–66. doi: 10.1242/dmm.003467

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med. (2017) 377:1119–31. doi: 10.1056/NEJMoa1707914

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Hayek T, Oiknine J, Brook JG, Aviram M. Increased plasma and lipoprotein lipid peroxidation in apo E-deficient mice. Biochem Biophys Res Commun. (1994) 201:1567–74. doi: 10.1006/bbrc.1994.1883

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Tian J, Pei H, James JC, Li Y, Matsumoto AH, Helm GA, et al. Circulating adhesion molecules in apoE-deficient mouse strains with different atherosclerosis susceptibility. Biochem Biophys Res Commun. (2005) 329:1102–7. doi: 10.1016/j.bbrc.2005.02.090

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Hui DY, Basford JE. Distinct signaling mechanisms for apoE inhibition of cell migration and proliferation. Neurobiol Aging. (2005) 26:317–23. doi: 10.1016/j.neurobiolaging.2004.02.030

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Riddell DR, Vinogradov DV, Stannard AK, Chadwick N, Owen JS. Identification and characterization of LRP8 (apoER2) in human blood platelets. J Lipid Res. (1999) 40:1925–30.

PubMed Abstract | Google Scholar

54. Kasikara C, Doran AC, Cai B, Tabas I. The role of non-resolving inflammation in atherosclerosis. J Clin Invest. (2018) 128:2713–23. doi: 10.1172/JCI97950

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Grainger DJ, Reckless J, McKilligin E. Apolipoprotein E modulates clearance of apoptotic bodies in vitro and in vivo, resulting in a systemic proinflammatory state in apolipoprotein E-deficient mice. J Immunol. (2004) 173:6366–75. doi: 10.4049/jimmunol.173.10.6366

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Daya S, Berns KI. Gene therapy using adeno-associated virus vectors. Clin Microbiol Rev. (2008) 21:583–93. doi: 10.1128/CMR.00008-08

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Van Herck JL, De Meyer GR, Martinet W, Van Hove CE, Foubert K, Theunis MH, et al. Impaired fibrillin-1 function promotes features of plaque instability in apolipoprotein E-deficient mice. Circulation. (2009) 120:2478–87. doi: 10.1161/CIRCULATIONAHA.109.872663

CrossRef Full Text

58. Van der Donckt C, Van Herck JL, Schrijvers DM, Vanhoutte G, Verhoye M, Blockx I, et al. Elastin fragmentation in atherosclerotic mice leads to intraplaque neovascularization, plaque rupture, myocardial infarction, stroke, and sudden death. Eur Heart J. (2015b) 36:1049–58. doi: 10.1093/eurheartj/ehu041

CrossRef Full Text | Google Scholar

59. Van der Donckt C, Roth L, Vanhoutte G, Blockx I, Bink DI, Ritz K, et al. Fibrillin-1 impairment enhances blood-brain barrier permeability and xanthoma formation in brains of apolipoprotein E-deficient mice. Neuroscience. (2015a) 295:11–22. doi: 10.1016/j.neuroscience.2015.03.023

CrossRef Full Text | Google Scholar

60. Sato K, Nakano K, Katsuki S, Matoba T, Osada K, Sawamura T, et al. Dietary cholesterol oxidation products accelerate plaque destabilization and rupture associated with monocyte infiltration/activation via the MCP-1-CCR2 pathway in mouse brachiocephalic arteries: therapeutic effects of ezetimibe. J Atheroscler Thromb. (2012) 19:986–98. doi: 10.5551/jat.13391

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Matoba T, Sato K, Egashira K. Mouse models of plaque rupture. Curr Opin Lipidol. (2013) 24:419–25. doi: 10.1097/MOL.0b013e3283646e4d

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Tontonoz P, Wu X, Jones M, Zhang Z, Salisbury D, Sallam T. Long noncoding RNA facilitated gene therapy reduces atherosclerosis in a murine model of familial hypercholesterolemia. Circulation. (2017) 136:776–8. doi: 10.1161/CIRCULATIONAHA.117.029002

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Sallam T, Jones MC, Gilliland T, Zhang L, Wu X, Eskin A, et al. Feedback modulation of cholesterol metabolism by the lipid-responsive non-coding RNA LeXis. Nature. (2016) 534:124–8. doi: 10.1038/nature17674

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Sallam T, Jones M, Thomas BJ, Wu X, Gilliland T, Qian K, et al. Transcriptional regulation of macrophage cholesterol efflux and atherogenesis by a long noncoding RNA. Nat Med. (2018) 24:304–12. doi: 10.1038/nm.4479

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Hennessy EJ, van Solingen C, Scacalossi KR, Ouimet M, Afonso MS, Prins J, et al. The long noncoding RNA CHROME regulates cholesterol homeostasis in primates. Nat Metab. (2019) 1:98–110. doi: 10.1038/s42255-018-0004-9

CrossRef Full Text | Google Scholar

66. Pascual G, Fong AL, Ogawa S, Gamliel A, Li AC, Perissi V, et al. A SUMOylation-dependent pathway mediates transrepression of inflammatory response genes by PPAR-gamma. Nature. (2005) 437:759–63. doi: 10.1038/nature03988

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Venteclef N, Jakobsson T, Ehrlund A, Damdimopoulos A, Mikkonen L, Ellis E, et al. GPS2-dependent corepressor/SUMO pathways govern anti-inflammatory actions of LRH-1 and LXRbeta in the hepatic acute phase response. Genes Dev. (2010) 24:381–95. doi: 10.1101/gad.545110

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Stein S, Oosterveer MH, Mataki C, Xu P, Lemos V, Havinga R, et al. SUMOylation-dependent LRH-1/PROX1 interaction promotes atherosclerosis by decreasing hepatic reverse cholesterol transport. Cell Metab. (2014) 20:603–13. doi: 10.1016/j.cmet.2014.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Stein S, Lemos V, Xu P, Demagny H, Wang X, Ryu D, et al. Impaired SUMOylation of nuclear receptor LRH-1 promotes nonalcoholic fatty liver disease. J Clin Invest. (2017) 127:583–92. doi: 10.1172/JCI85499

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Katafuchi T, Holland WL, Kollipara RK, Kittler R, Mangelsdorf DJ, Kliewer SA. PPARgamma-K107 SUMOylation regulates insulin sensitivity but not adiposity in mice. Proc Natl Acad Sci USA. (2018) 115:12102–11. doi: 10.1073/pnas.1814522115

CrossRef Full Text | Google Scholar

71. Stein S, Matter CM. CardioPulse: translational research in cardiovascular disease. Eur Heart J. (2016) 37:1088–95. doi: 10.1093/eurheartj/ehw025

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Huang L, Hua Z, Xiao H, Cheng Y, Xu K, Gao Q, et al. CRISPR/Cas9-mediated ApoE-/- and LDLR-/- double gene knockout in pigs elevates serum LDL-C and TC levels. Oncotarget. (2017) 8:37751–60. doi: 10.18632/oncotarget.17154

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Jarrett KE, Lee CM, Yeh YH, Hsu RH, Gupta R, Zhang M, et al. Somatic genome editing with CRISPR/Cas9 generates and corrects a metabolic disease. Sci Rep. (2017) 7:44624. doi: 10.1038/srep44624

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Fang B, Ren X, Wang Y, Li Z, Zhao L, Zhang M, et al. Apolipoprotein E deficiency accelerates atherosclerosis development in miniature pigs. Dis Model Mech. (2018) 11:dmm036632. doi: 10.1242/dmm.036632

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Lu R, Yuan T, Wang Y, Zhang T, Yuan Y, Wu D, et al. Spontaneous severe hypercholesterolemia and atherosclerosis lesions in rabbits with deficiency of low-density lipoprotein receptor (LDLR) on exon 7. EBioMedicine. (2018) 36:29–38. doi: 10.1016/j.ebiom.2018.09.020

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Wang X, Huang R, Zhang L, Li S, Luo J, Gu Y, et al. A severe atherosclerosis mouse model on the resistant NOD background. Dis Model Mech. (2018) 11:dmm033852. doi: 10.1242/dmm.033852

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: atherosclerosis, cardiovascular disease (CV disease), mouse models, immunometabolic disease, lipoprotein metabolism, inflammatory signaling, PCSK9 (proprotein convertase subtilisin kexin type 9), Fibrillin 1

Citation: Oppi S, Lüscher TF and Stein S (2019) Mouse Models for Atherosclerosis Research—Which Is My Line? Front. Cardiovasc. Med. 6:46. doi: 10.3389/fcvm.2019.00046

Received: 06 December 2018; Accepted: 26 March 2019;
Published: 12 April 2019.

Edited by:

Kenneth Boheler, Johns Hopkins University, United States

Reviewed by:

Soraya Taleb, INSERM U970 Paris-Centre de Recherche Cardiovasculaire (PARCC), France
Nasser M. Rizk, Qatar University, Qatar

Copyright © 2019 Oppi, Lüscher and Stein. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sokrates Stein, sokrates.stein@uzh.ch

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.