Abstract
Background
The globally rising obesity epidemic is associated with a broad spectrum of diseases including atherosclerosis and non-alcoholic fatty liver (NAFL) disease. In the past, research focused on the vasculature or liver, but chronic systemic effects and inter-organ communication may promote the development of NAFL. Here, we investigated the impact of confined vascular endothelial injury, which produces highly inflamed aortic plaques that are susceptible to rupture, on the progression of NAFL in cholesterol fed rabbits.
Methods
Aortic atherosclerotic inflammation (plaque Gd-enhancement), plaque size (vessel wall area), and composition, were measured with in vivo magnetic resonance imaging (MRI) in rabbits fed normal chow or a 1% cholesterol-enriched atherogenic diet. Liver fat was quantified with magnetic resonance spectroscopy (MRS) over 3 months. Blood biomarkers were monitored in the animals, with follow-up by histology.
Results
Cholesterol-fed rabbits with and without injury developed hypercholesterolemia, NAFL, and atherosclerotic plaques in the aorta. Compared with rabbits fed cholesterol diet alone, rabbits with injury and cholesterol diets exhibited larger, and more highly inflamed plaques by MRI (P < 0.05) and aggravated liver steatosis by MRS (P < 0.05). Moreover, after sacrifice, damaged (ballooning) hepatocytes and extensive liver fibrosis were observed by histology. Elevated plasma gamma-glutamyl transferase (GGT; P = 0.014) and the ratio of liver enzymes aspartate and alanine aminotransferases (AST/ALT; P = 0.033) indicated the progression of steatosis to non-alcoholic steatohepatitis (NASH).
Conclusions
Localized regions of highly inflamed aortic atherosclerotic plaques in cholesterol-fed rabbits may contribute to progression of fatty liver disease to NASH with fibrosis.
Electronic supplementary material
The online version of this article (10.1186/s12967-018-1587-3) contains supplementary material, which is available to authorized users.
Keywords: Steatohepatitis, Liver fibrosis, Inflammation, Vulnerable atherosclerotic plaques, Magnetic resonance imaging and spectroscopy
Background
One in four Americans, including an increasing number of young adults, develops non-alcoholic fatty liver (NAFL) [1]. After viral hepatitis, NAFL ranks among the most common liver diseases in the USA and worldwide [1, 2]. The liver is a central organ of lipid metabolism and plasma lipoprotein synthesis. Genetic, environmental, and dietary factors can contribute to lipid accumulation in the liver, referred to as hepatic steatosis [2, 3]. In Western countries, fat- and carbohydrate-rich diets are associated with the development of obesity, insulin resistance, hypertension, and atherosclerosis [3]. An imbalance in hepatic lipid metabolism, deposition, or de novo synthesis promotes lipid buildup in hepatocytes, the initial stage of NAFL. While the course of simple steatosis is reversible and in most cases asymptomatic, the chronic excess of intracellular lipids induces lipotoxicity [4] and hepatocyte injury which in some individuals can progress to fibrosis, cirrhosis, [5] and finally hepatocellular carcinoma [2, 6]. Damaged hepatocytes release intracellular transaminases, plasma biomarkers of liver injury, and may undergo cell death. These inflammatory and pro-fibrotic processes in response to injury advance liver disease to non-alcoholic steatohepatitis (NASH). Limited effective pharmacological therapies exist currently, and thus NASH is considered as an irreversible stage of NAFL [5].
Histological grading of NAFL patient liver biopsies showed that NASH occurs in 10–30% of patients [1, 7]. While knowledge has grown regarding lifestyle and dietary impacts of liver disease from cohort studies [7, 8], the role of vascular inflammation and its potential systemic effects on liver disease has been challenging to establish mechanistically. In this study, we further explore our ongoing hypothesis that unresolved local inflammation can produce a chronic systemic inflammatory assault that affects other tissues and organs [9, 10]. Previously, we showed that oral inflammation with Porphyromonas gingivalis exposure greatly exacerbates aortic atherosclerosis in cholesterol fed rabbits. Here, we test the hypothesis that progressive atherosclerotic plaque inflammation can promote progression of NASH into a pro-inflammatory phenotype with fibrosis. NASH is associated with increased risk of thrombus formation and pro-coagulation factors as demonstrated by recent clinical cohort [11] and epidemiologic studies [12]. Inflamed vulnerable plaques prone to thrombosis release pro-coagulation factors and could also advance liver pathologies. A lack of comprehensive multi-organ studies has hindered the development of effective therapeutics for the liver, while advancing liver diseases may tie together cardiometabolic abnormalities and vascular disease. For example, general anti-inflammatory therapies may help to reduce chronic systemic inflammation. This observation is further substantiated by a recent trial in patients with a prior heart attack who were treated with a drug canakinumab (a monoclonal antibody that neutralized IL-1-beta) that led to a reduction in the risk of a second heart attack [13].
Diets may contain either pro or anti-inflammatory components that modulate the systemic inflammatory state [14, 15]. In particular, specific lipid species may exhibit pro-inflammatory [2, 4], neutral [16, 17], beneficial [10, 18], or resolving effects on the vasculature, liver, and other organs. Excessive cholesterol (CHOL) accumulation in the liver promotes CHOL crystal formation which may play a direct role in hepatic lipotoxicity [4, 19] and inflammation [20–22]. Lipidomic analyses of human NASH livers showed an increase in CHOL levels, but not in simple steatosis, while levels of free fatty acids were unchanged [23–25]. Several representative epidemiological studies demonstrated the association of total CHOL intake with an increased risk and severity of NAFL [15], cirrhosis, or liver cancer [26, 27].
This study investigates whether local vascular inflammation in the lipid-rich atherosclerotic plaques of cholesterol fed rabbits promotes chronic systemic effects and accelerate liver disease from NAFL to NASH. For this, we used a well-established rabbit model of human atherosclerosis that replicates histological features of both, stable and vulnerable plaques [early (types II and III) and advanced (types IV, Va, Vc, VI)] at the end of the 3 months protocol [28]. In vivo MRI of the atherosclerotic aorta has provided quantitative imaging features that are characteristic of vulnerable plaques and predictive of thrombosis [29, 30]. Injury of the aortic endothelium in combination with 1% CHOL feeding has produced highly inflamed atherosclerotic plaques [28, 31]. Severe NASH developed only in rabbits receiving both 1% CHOL diet and injury, in comparison to rabbits receiving either 1% CHOL diet or normal diet with injury alone.
Methods
Rabbit model of atherosclerosis
Male and female rabbits were fed normal chow and 1.0% CHOL containing chow diet for 3 months (Table 1 includes all of the study groups and abbreviations). For one study group (1% CHOL + injury; N = 5; two male and three female) the rabbits were prepared as previously described [28, 29, 32]. Briefly, advanced highly inflamed atherosclerotic lesions were induced with a 1% CHOL diet (TestDiet, Saint Louis, MO) in conjunction with endothelial cell injury via balloon catheter procedure under general anesthesia (acepromazine, 0.75 mg/kg IM; ketamine, 35 mg/kg IM; xylazine, 2.5 mg/kg IM). For the second study group, rabbits were fed 1% CHOL diet without injury (1% CHOL; N = 3; one male and two female) [10]. Control rabbits (normal diet; N = 3; female) were fed normal chow (LabDiet, Saint Louis, MO). The sham rabbit was injured by balloon catheter and fed a normal diet throughout the study (normal diet + injury; N = 1; female). Normal chow contained 16.5% protein, 41% carbohydrates, 22.5% fiber, 2% fat whereas the CHOL containing chow included 10,000 ppm cholesterol, 14.4% protein, 42.8% carbohydrates, 23.7% fiber, 2.4% fat by weight. The remaining mass consisted of moisture, ash, vitamins, and minerals. Animal chow was stored in a cool, dry location with refrigeration.
Table 1.
Groups used in this study | Abbreviationa |
---|---|
Normal diet + no injury | Normal diet |
Normal diet + endothelial injury | Sham rabbit |
1% cholesterol diet + no injury | 1% CHOL |
1% cholesterol diet + endothelial injury | 1% CHOL + injury |
aAbbreviation denotes the abbreviated names used in this study
We tested whether plaques disrupted to form a luminal thrombus in both 1% CHOL-fed groups with or without injury using our standard pharmacologic procedure [29, 31, 32]. Briefly, at the end of the 3 months protocol, intraperitoneal injections (two times, separated by 48 h) of coagulation cascade factor-X activating enzyme isolated from Russell’s Viper Venom (RVV-X 0.15 mg/kg IP; Enzyme Research, South Bend, IN) followed by histamine injection (0.02 mg/kg IV; Sigma Aldrich, St. Louis, Mo) after 30 min were used to trigger rupture of vulnerable plaques. We also performed balloon-catheter endothelial injury with pharmacologic triggering in a rabbit with no CHOL feeding as the sham group (normal diet + injury). The complete timeline for the CHOL-fed experimental groups included 8 weeks of 1% CHOL feeding followed by 4 weeks of normal chow feeding (Fig. 1).
Serial magnetic resonance imaging (MRI) of aortic plaque and liver spectroscopy
Assessment of the aorta and liver in each rabbit was carried out for the detection of co-existing disease with in vivo MRI using a Philips Achieva 3T scanner with a 16 channel TR knee coil under general anesthesia and free breathing conditions. The MRI protocol was optimized based on our published protocols [29, 32] with modifications including T1-weighted (T1W) and T2-weighted (T2W) imaging substituted with non-gated 3D black-blood sequences repeated at the end of the second and third months. Our imaging protocol included additional experiments to quantify liver triglyceride content by voxel-guided 1H NMR spectroscopy (MRS) [33, 34]. Progression of aortic vascular disease was monitored with inclusion of intravenously injected gadolinium (0.5 ml of Magnevist, Bayer AG, Leverkusen, Germany) [32].
High field MRI (11.7T; Bruker Biospin Corporation, Billerica, MA) was used to study excised aortic segments rinsed in cold saline, fixed in 10% neutral buffered formalin, and then placed in MR-signal inert fomblin oil (Sigma Aldrich). The fomblin oil suppresses background signal, providing high signal-to-noise proportion during visualization of the tissue. Aorta segments were stored in an ice-water bath and allowed to equilibrate to room temperature prior to the ex vivo MRI protocol. All experiments were conducted with high resolution T1W imaging (28 μm2 in plane resolution with 500 μm slice thickness). Diffusion-weighted MRI (DW-MRI; 39 μm2 in plane resolution with 500 μm slice thickness) was used with a diffusion-weighting B value of 3000 s/mm2. The diffusion-weighting B value was selected and optimized based on the protocol developed by Qiao et al., for ex vivo visualization of cholesteryl esters in human and rabbit plaques [28, 35].
MRI and MRS data analysis
From in vivo MRI measurements, we assessed vessel wall area (VWA) and plaque gadolinium (Gd) contrast enhancement. Selected segments representing regions with and without plaque rupture and normal vessel areas were compared. For Gd enhancement quantification, pre and post-contrast T1W images were used with a plaque defined as an area of hyperintensity present in at least three consecutive MRI slices (4–8 of these plaque regions were identified in each rabbit). For MRS measurements, the water peak was assigned to 4.7 ppm and lipid signal identified by characteristic peaks between 0.8 and 1.4 ppm [35]. Spectra from TG show intense resonances from the methylene (1.2 ppm) protons of fatty acyl chains [36]. From this MRS spectrum, the ratio of the methylene peak to the water peak was used, as is standard for measurement of liver fat [33, 34]. Spectra were averaged across eight readings at each of two sites (left and right liver) obtained during each imaging session. MATLAB software (MathWorks, Inc., Natick, MA) was used for calculation of the area under curve for the water and fat peaks. From ex vivo MRI, T1W imaging was used to quantify VWA. T1W is the standard scan to detect plaque heterogeneity. DW-MRI was used for ex vivo visualization to detect the presence of cholesteryl esters in the vessel wall [28, 35].
Thrombus detection
At the end of the 3 months protocol (Fig. 1), thrombus formation was measured in ImageJ (NIH, Bethesda, MD) by comparison of carefully matched corresponding regions in the MR images (pre- and post-contrast T1W images) obtained before and after triggering.
Blood biomarkers
Blood was collected prior to MRI scans (total volumes per draw of 2–4 ml) in heparin blood collection tubes for quantification of liver enzymes (U/l) and lipids (mg/dl). The biomarker analysis included measurements of the liver enzymes: aspartate aminotransferase (ALT), alanine aminotransferase (AST), and gamma-glutamyl transferase (GGT). The ratio of AST and ALT, also known as the De Ritis ratio [37], was used to assess liver damage in NASH [38]. Other biomarkers measured included: total plasma triglycerides, plasma free CHOL, and total protein (g/dl) concentrations. Blood lipoproteins (mg/dl) were measured and compared to normal diet fed rabbits, including high density lipoprotein (HDL), low density lipoprotein (LDL), and very-low density lipoprotein (VLDL). All blood biomarkers were measured by the Abbott Piccolo Xpress Analyzer (Abbott, Chicago, IL).
Histology
Formalin fixed and paraffin embedded liver and aorta sections were stained with Masson’s Trichrome. Fibrotic areas stained blue were quantified after microscopic imaging and in multiple fields of view at the same magnification with ImageJ software using color threshold to quantify liver fibrosis. Lipid deposition in aortic frozen sections was visualized by Oil Red O.
Statistical analysis
Statistical comparison was carried out on data derived from 1% CHOL + injury, 1% CHOL, or normal diet rabbit groups. In addition to comparisons between groups at study time points, baseline and longitudinal measurements were included where possible. Two-sample Student’s t-test for the mean difference per rabbit, one-sided or one sample t-test for comparison with baseline readings, and the F-test for the comparison of variance was carried out in Excel (Microsoft Corporation, Redmond, WA). Alternatively, data were analyzed with the R programming language and Rstudio (Boston, MA) for the analysis of variance (ANOVA) in the three groups, or the Wilcoxon rank sum test, a non-parametric alternative to the t-test, with visualization as dot plots.
Results
In vivo MRI of atherosclerosis and thrombosis
We previously demonstrated the application of non-invasive MRI to quantify the progression of individual atherosclerotic plaques in injured aortas of CHOL-fed rabbits. Plaques that exhibited thrombosis at 3 months were characterized by greatly increasing inflammation between the second and third months [32], even though the rabbits were fed normal chow for the last month. In the current study, we applied serial in vivo MRI to monitor atherosclerosis and MRS to quantify liver triglyceride in rabbits fed 1% CHOL with and without endothelial injury of the aorta and subsequently compared the livers in each group by histology.
Consistent with our previous study using serial MRI [32], vulnerable plaques showed increasing VWA and Gd uptake in rabbits with injury before rupture and luminal thrombosis. In vivo MRI located advanced vulnerable plaques in the abdominal aorta that thrombosed after pharmacological triggering (Table 2). The intravenous Gd injection enhanced the differentiation between plaque and thrombus, as shown in Fig. 2a. Gd uptake was higher for most plaques in the 1% CHOL-fed rabbits with injury in the aorta compared to 1% CHOL-fed rabbits without injury (Fig. 2b). Enhanced Gd uptake is one of three metrics for predicting inflammation and vulnerable plaque rupture by MRI, which also includes vessel wall area and outward remodeling [29, 32]. In vivo MRI measurements in aortic plaques of non-injured 1% CHOL-fed and injured rabbits fed normal diets has not been previously performed. Our new MRI results demonstrate less inflammation in the aorta of non-injured 1% CHOL-fed rabbits and injured rabbits fed normal diets. Serial MRI showed the minimal occurrence of vulnerable plaques, including the Gd enhancement, as compared to the 1% CHOL + injury rabbit group.
Table 2.
Group | Thrombus per rabbit |
---|---|
1% CHOL | 0.67 |
1% CHOL + injury | 3.75a |
a Indicates significance tested with Student’s t-test when thrombus per rabbit was compared between the two groups
Vascular features with ex vivo MRI and histology
After sacrifice, ex vivo MRI displayed higher vessel wall areas and greater compositional heterogeneity in the 1% CHOL + injury group compared to the 1% CHOL group and the normal diet fed rabbits (Fig. 3). We found relatively thin vessel walls in non-injured rabbits, very similar in morphology to 0.5% CHOL-fed rabbits in our previous studies using ex vivo MRI only [9, 10]. The heterogeneous composition in the 1% CHOL + injury group was revealed by high variation of signal intensities in the standard T1W image (Fig. 3a). The histology of the injury group confirmed the presence of a markedly thickened intima with inflammation (Fig. 3c).
Abundant lipids were present in the vessel wall of the 1% CHOL fed rabbits with endothelial injury (Fig. 4). Oil Red O stain, a non-specific stain for lipids, was localized to the intimal region (Fig. 4b). The presence of the deposited lipid species was confirmed by ex vivo DW-MRI, (Fig. 4c) with specificity for liquid cholesteryl esters in the plaque [35]. Merged T1W with DW-MRI (in Fig. 4d) revealed the luminal side location of the lipid signal.
Plasma biomarkers
A significant increase in lipids and liver enzymes (Table 3; 1% CHOL + injury and Additional file 1: Table S1; 1% CHOL) was observed in the blood of the CHOL-fed rabbits compared to rabbits fed normal chow. Free blood-cholesterol and triglycerides increased substantially with 1% CHOL feeding with injury. GGT, AST, and ALT were all increased by 165, 356, and 158%, respectively, although only the increase in GGT was significant. The ratio of AST to ALT increased from 0.63 to 1.11, and this effect was substantial (see Table 3 for complete details). A similar increase in free cholesterol was observed with 1% CHOL feeding without injury, (Additional file 1: Table S1) although increases in liver enzymes did not reach statistical significance for this group. The blood LDL + VLDL lipoprotein content was increased when compared between the normal diet and 1% CHOL diet fed rabbits with or without injury (results displayed in Additional file 1: Table S2).
Table 3.
Blood plasma biomarkers | Baseline | After 1% CHOL + injury | P-value |
---|---|---|---|
Free cholesterol (mg/dl) | 48.5 ± 8.8 | 651.8 ± 167.5 | 0.018 |
Triglycerides (mg/dl) | 44.3 ± 5.7 | 89.7 ± 15.9 | 0.021 |
GGT (U/l) | 6.3 ± 0.5 | 10.3 ± 1.3 | 0.014 |
AST/ALT ratio | 0.63 ± 0.12 | 1.11 ± 0.18 | 0.033 |
Total protein (g/dl) | 4.9 ± 0.2 | 5.5 ± 0.4 | NS |
Readings from blood plasma were compared in 1% CHOL + injury rabbits to baseline readings. Baseline readings are defined as blood plasma samples obtained prior to initiation of 1% CHOL diet. Readings in the blood were obtained at 3 months before pharmacologic triggering. The P-value displayed was obtained from the Student’s t-test comparing the baseline and before trigger readings
Liver triglyceride content by serial voxel-guided spectroscopy
We performed MRS of liver fat, which allows quantification of fat in the same region over time. Liver fat was quantified by the standard MRS method, as illustrated in Fig. 5. Liver triglycerides increased significantly at 2 and 3 months in 1% CHOL + injury compared to 1% CHOL rabbits. Accumulation of fat also resulted in brightening of the signal in T1W MRI of the liver.
Liver histology with quantification of collagen fibrosis
When excised from the rabbits, a yellow or pale color change was apparent due to the presence of abundant lipids in CHOL-fed rabbits (Fig. 6a). Histology was then performed to determine the degree of liver inflammation and fibrosis (Fig. 6b). In rabbits fed normal diet with or without endothelial injury, normal liver histology was observed. The livers of rabbits fed 1% CHOL had ballooning hepatocytes, but with limited portal fibrosis. However, in rabbits fed 1% CHOL diet with endothelial injury, portal fibrosis extended into the liver tissue as shown in Fig. 7. The 1% CHOL + injury group had a two-fold increase in fibrosis area as compared to the CHOL-fed rabbits without injury.
Discussion
The focus of this study was to compare liver disease in 1% CHOL fed rabbits with and without aortic injury and to address whether high vascular inflammation affected the liver. As shown by our in vivo MRI, ex vivo MRI, and histology of aortic atherosclerotic plaques, rabbits without endothelial injury developed smaller plaques with low levels of inflammation, whereas rabbits with injury developed more advanced plaques with high inflammation and a much higher frequency of disruption. We hypothesized that comparison of these groups with the same high CHOL diet (1%) would provide a better understanding of the impact of atherosclerotic inflammation that adversely affects other tissues such as the liver. Moreover, rabbits fed normal diets with or without injury did not have signs of progressive disease (plaques) in the aorta and lacked signs of liver steatosis or portal fibrosis.
Our rabbit model with CHOL feeding and injury is an established model of human atherosclerosis resembling most of the stages categorized by the American Heart Association (as noted in the Introduction and in [28]). Rabbits with 1% CHOL + injury also have numerous vulnerable plaques that after pharmacological triggering disrupt and form large thrombi (Fig. 2). Our in vivo results demonstrated greater Gd uptake in the 1% CHOL + injury group compared to the 1% CHOL without injury, which is a marker of active inflammation and neovascularization occurring in the vessel wall [29, 39]. The 1% CHOL rabbits had a smaller number of thrombi as compared to the 1% CHOL + injury group (Table 2). Similar results were previously observed by Abela et al. [31] using 1% CHOL-fed rabbits with endothelial injury compared to 1% CHOL-fed rabbits without injury, or injured rabbits fed normal diets. In our study, the 1% CHOL, normal diet, or normal diet + injury groups had relatively thin vessel walls compared to the 1% CHOL + injury group. Moreover, histological inflammation, compositional heterogeneity, and lipid contents were substantial in the vessel walls of the 1% CHOL + injury group (Figs. 3 and 4).
In addition to representing the human plaques, rabbits have high plasma LDL, VLDL, and other important plasma components, such as CRP [40–42]. Plasma free CHOL and triglycerides were elevated in 1% CHOL + injury rabbits (Table 3), as were all the lipoprotein subfractions HDL, LDL, VLDL (Additional file 1: Table S2). The AST to ALT ratio, heightened in the 1% CHOL + injury rabbits (Table 3), is a clinically valuable marker of liver dysfunction [37, 38]. An increase in the AST to ALT ratio was observed in the 1% CHOL fed rabbits without injury group (Additional file 1: Table S1), but to a lesser degree that did not reach statistical significance. A study of 70 patients with NASH revealed mean AST to ALT ratios of 0.7, 0.9, and 1.4 for subjects with no fibrosis, mild fibrosis, or cirrhosis, respectively [38]. In a larger clinical cohort, patients with no liver fibrosis and diabetes had a mean AST to ALT ratio of 0.78, and this was elevated to 0.98 (n = 204) in diabetic patients with advanced fibrosis (n = 142). Advanced fibrosis in the study was defined via histological diagnosis of either bridging fibrosis or cirrhosis [43]. GGT is also relevant to liver function, is responsible for the extracellular catabolism of the antioxidant glutathione, and is suspected to be important beyond liver damage in chronic subclinical inflammation and systemic oxidative demand [44–46].
Our report is the first study to our knowledge tracking advanced stage plaques that are highly inflamed in relation to liver disease in rabbits. The 1% CHOL + injury rabbits had significantly increased triglyceride deposition in the liver as observed by in vivo MRS at 2 and 3 months compared to 1% CHOL non-injured rabbits at the same time points (Fig. 5). Note that both groups were fed a normal chow diet for the last month (our standard protocol [28, 29, 32] and shown in our timeline), and the liver triglyceride in each group did not increase between 2 and 3 months. There were insignificant gains in weight over the entire 3 month time period in each cholesterol fed group. Therefore, the accumulation of body fat is not a contributor to the differences in liver pathologies between the two cholesterol fed groups of rabbits. We also found that endothelial injury alone without cholesterol feeding does not induce visible histologic liver steatosis with inflammation (as shown in Fig. 6).
Taken together, above results strongly suggest that vascular inflammation from lipid-rich plaques in the setting of the high cholesterol diet is a major contributor to the liver pathology. After completion of the MRI and MRS studies, the color of the CHOL-fed rabbit’s livers changed from normal deep red to pale or yellowish, most notable for the 1% CHOL + injury group (Fig. 6a). The most remarkable and physiologically substantial differentiation of the livers was revealed by histology, which showed propagating fibrosis in the 1% CHOL + injury rabbits, as compared to the other study groups (Fig. 6b).
Some fibrosis was noted in the 1% CHOL-fed rabbits without injury. In rabbits fed 1% CHOL alone, a mean of 3.65% liver fibrosis by area was found compared to 8.06% liver fibrosis by area in the 1% CHOL + injury rabbits (Fig. 7a). The propagation to bridging fibrosis far beyond the near-boundaries of the liver portal triad (bile duct, hepatic portal vein, and hepatic artery) was observed only in the 1% CHOL + injury rabbits (Fig. 7b). These findings suggests that liver fibrosis is initiated around the blood vessels, and with a more severe disease, collagen fibrosis increased to propagate into the hepatic sinusoids. The three main structure of the liver, the portal vein, artery, and bile duct, are surrounded by loose myofibroblasts and the first layer of hepatic and non-parenchymal cells. These portal myofibroblasts (and not hepatic stellate cells) are hypothesized to be the point of portal fibrosis in the early stages of cholestatic fibrosis [47].
Several localized diseases that are characterized by unresolved inflammation have now been linked to cardiovascular disease (CVD). Previous studies in rabbits have demonstrated that periodontitis greatly promotes atherosclerotic plaque inflammatory processes [9]. High circulating inflammatory mediators have been postulated to contribute to “vulnerable blood”, a systemic characteristic of high-risk for cardiovascular events in humans [9, 10, and references therein]. One study has also linked periodontitis to liver inflammation [48]. Psoriasis is another example of a link between discrete sites of inflammatory pathology that promotes vascular inflammation and early atherosclerosis. Psoriasis becomes a systemic inflammatory disease because of the failure to resolve localized inflammation and the secretion of high levels of neutrophils and inflammatory mediators into the blood [49]. Our new evidence from CHOL-fed rabbits without periodontitis or psoriasis shows that discrete pathological regions of lipid-rich inflamed pro-thrombotic plaques contribute to the progression of liver disease to advanced stages with high inflammation and fibrosis.
Conclusions
This study has demonstrated that progressive atherosclerotic vascular inflammation is associated with worsening liver disease in rabbits. The liver disease appears to synergized between diet, aortic injury, and atherosclerotic inflammation, whereby the injury coupled with local plaque inflammation drives disease progression in both areas. These observations support the emerging broad hypothesis that unresolved inflammation may impart systemic effects. These findings provide a basis for detailed investigation of the mechanisms and molecules released from the plaques that can lead to inflammation and fibrosis in the liver. An important test of our overall hypothesis will be to assess the impact of pro-resolving mediators of inflammation, including lipoxins and resolvins, molecules that have been shown to be potent in treating or possibly preventing many inflammation-associated diseases [10].
Additional file
Authors’ contributions
JAH planned the experiments; ENT, NH, JB, AE carried out the experiments, JAH, RK, and MMB assisted in data understanding and analysis, all authors were involved in the writing or editing of the manuscript. All authors read and approved the final manuscript.
Acknowledgements
We would like to thank Marina Triebenbacher for assistance with the data analysis, the Boston University EX+ Project Core for assistance with histology slide preparation and analysis, and the MRI/NMR High Field Imaging Core for assistance with the ex vivo MRI.
Competing interests
The authors declare that they have no competing interests.
Availability of data and materials
Data and animal tissue samples will be made available on reasonable request from the corresponding author.
Consent for publication
Not applicable.
Ethics approval and consent to participate
All applicable institutional and/or national guidelines for the care and use of animals were followed.
Funding
This work was supported by NIH grants Cardiovascular Training Grant T32HL007224 (ENT), R01 DK103750 (MMB), American Heart Association “Grant in Aid” 16GRNT27660006 (MMB), Boston University Clinical & Translational Science Institute Grant Number 1UL1TR001430 (MMB), LIFER: Liver Institute and Foundation for Education and Research Grant (JAH). The article contents are solely the responsibility of the authors and do not necessarily represent the official views of the awarding offices.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abbreviations
- NAFL
non-alcoholic fatty liver
- MRI
magnetic resonance imaging
- MRS
magnetic resonance spectroscopy
- GGT
gamma-glutamyl transferase
- AST
aspartate aminotransferases
- ALT
alanine aminotransferases
- NASH
non-alcoholic steatohepatitis
- CHOL
cholesterol
- RVV-X
Russell’s Viper Venom
- T1W
T1-weighted
- T2W
T2-weighted
- DW-MRI
diffusion-weighted MRI
- VWA
vessel wall area
- Gd
gadolinium
- HDL
lipoprotein
- LDL
low density lipoprotein
- VLDL
very-low density lipoprotein
- ANOVA
analysis of variance
- CVD
cardiovascular disease
Contributor Information
Erik Taylor, Email: entaylor@bu.edu.
Nasi Huang, Email: nasi@bu.edu.
Jacob Bodde, Email: jbodde@bu.edu.
Andrew Ellison, Email: aajjee@gmail.com.
Ronald Killiany, Email: killiany@bu.edu.
Markus Michael Bachschmid, Email: bach@bu.edu.
James Hamilton, Phone: (617) 638-5048, Email: jhamilt@bu.edu.
References
- 1.Williams CD, Stengel J, Asike MI, Torres DM, Shaw J, Contreras M, et al. Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis among a largely middle-aged population utilizing ultrasound and liver biopsy: a prospective study. Gastroenterology. 2011;140:124–131. doi: 10.1053/j.gastro.2010.09.038. [DOI] [PubMed] [Google Scholar]
- 2.Ioannou GN. The role of cholesterol in the pathogenesis of NASH. Trends Endocrinol Metab. 2016;27:84–95. doi: 10.1016/j.tem.2015.11.008. [DOI] [PubMed] [Google Scholar]
- 3.Wree A, Broderick L, Canbay A, Hoffman HM, Feldstein AE. From NAFLD to NASH to cirrhosis—new insights into disease mechanisms. Nat Rev Gastroenterol Hepatol. 2013;10:627. doi: 10.1038/nrgastro.2013.149. [DOI] [PubMed] [Google Scholar]
- 4.Neuschwander-Tetri BA. Hepatic lipotoxicity and the pathogenesis of nonalcoholic steatohepatitis: the central role of nontriglyceride fatty acid metabolites. Hepatology. 2010;52:774–788. doi: 10.1002/hep.23719. [DOI] [PubMed] [Google Scholar]
- 5.Cohen JC, Horton JD, Hobbs HH. Human fatty liver disease: old questions and new insights. Science. 2011;332:1519–1523. doi: 10.1126/science.1204265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Beste LA, Leipertz SL, Green PK, Dominitz JA, Ross D, Ioannou GN. Trends in burden of cirrhosis and hepatocellular carcinoma by underlying liver disease in US veterans, 2001–2013. Gastroenterology. 2015;149:1471–1482.e5. doi: 10.1053/j.gastro.2015.07.056. [DOI] [PubMed] [Google Scholar]
- 7.Matteoni CA, Younossi ZM, Gramlich T, Boparai N, Liu YC, McCullough AJ. Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity. Gastroenterology. 1999;116:1413–1419. doi: 10.1016/S0016-5085(99)70506-8. [DOI] [PubMed] [Google Scholar]
- 8.Clark JM. The epidemiology of nonalcoholic fatty liver disease in adults. J Clin Gastroenterol. 2006;40(Suppl 1):S5–S10. doi: 10.1097/01.mcg.0000168638.84840.ff. [DOI] [PubMed] [Google Scholar]
- 9.Hasturk H, Abdallah R, Kantarci A, Nguyen D, Giordano N, Hamilton J, et al. Resolvin E1 (RvE1) attenuates atherosclerotic plaque formation in diet and inflammation-induced atherogenesis. Arterioscler Thromb Vasc Biol. 2015;35:1123–1133. doi: 10.1161/ATVBAHA.115.305324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hamilton JA, Hasturk H, Kantarci A, Serhan CN, Van Dyke T. Atherosclerosis, periodontal disease, and treatment with resolvins. Curr Atheroscler Rep. 2017;19:57. doi: 10.1007/s11883-017-0696-4. [DOI] [PubMed] [Google Scholar]
- 11.Verrijken A, Francque S, Mertens I, Prawitt J, Caron S, Hubens G, et al. Prothrombotic factors in histologically proven nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Hepatology. 2014;59:121–129. doi: 10.1002/hep.26510. [DOI] [PubMed] [Google Scholar]
- 12.Stine JG, Shah NL, Argo CK, Pelletier SJ, Caldwell SH, Northup PG. Increased risk of portal vein thrombosis in patients with cirrhosis due to nonalcoholic steatohepatitis. Liver Transpl. 2015;21:1016–1021. doi: 10.1002/lt.24134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ridker PM, MacFadyen JG, Thuren T, Everett BM, Libby P, Glynn RJ, et al. Effect of interleukin-1β inhibition with canakinumab on incident lung cancer in patients with atherosclerosis: exploratory results from a randomised, double-blind, placebo-controlled trial. Lancet. 2017;390:1833–1842. doi: 10.1016/S0140-6736(17)32247-X. [DOI] [PubMed] [Google Scholar]
- 14.Tabung FK, Liu L, Wang W, Fung TT, Wu K, Smith-Warner SA, et al. Association of dietary inflammatory potential with colorectal cancer risk in men and women. JAMA Oncol. 2018;4:366–373. doi: 10.1001/jamaoncol.2017.4844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ioannou GN, Morrow OB, Connole ML, Lee SP. Association between dietary nutrient composition and the incidence of cirrhosis or liver cancer in the United States population. Hepatology. 2009;50:175–184. doi: 10.1002/hep.22941. [DOI] [PubMed] [Google Scholar]
- 16.Yamaguchi K, Yang L, McCall S, Huang J, Yu XX, Pandey SK, et al. Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitis. Hepatology. 2007;45:1366–1374. doi: 10.1002/hep.21655. [DOI] [PubMed] [Google Scholar]
- 17.Wouters K, van Bilsen M, van Gorp PJ, Bieghs V. Intrahepatic cholesterol influences progression, inhibition and reversal of non-alcoholic steatohepatitis in hyperlipidemic mice. FEBS. 2010;584:1001–1005. doi: 10.1016/j.febslet.2010.01.046. [DOI] [PubMed] [Google Scholar]
- 18.Scorletti E, Byrne CD. Omega-3 fatty acids, hepatic lipid metabolism, and nonalcoholic fatty liver disease. Annu Rev Nutr. 2013;33:231–248. doi: 10.1146/annurev-nutr-071812-161230. [DOI] [PubMed] [Google Scholar]
- 19.Tabas I. Consequences of cellular cholesterol accumulation: basic concepts and physiological implications. J Clin Invest. 2002;110:905–911. doi: 10.1172/JCI0216452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Musso G, Gambino R, Cassader M. Cholesterol metabolism and the pathogenesis of non-alcoholic steatohepatitis. Prog Lipid Res. 2013;52:175–191. doi: 10.1016/j.plipres.2012.11.002. [DOI] [PubMed] [Google Scholar]
- 21.Arguello G, Balboa E, Arrese M, Zanlungo S. Recent insights on the role of cholesterol in non-alcoholic fatty liver disease. Biochim Biophys Acta. 2015;1852:1765–1778. doi: 10.1016/j.bbadis.2015.05.015. [DOI] [PubMed] [Google Scholar]
- 22.Hendrikx T, Walenbergh S, Hofker MH. Lysosomal cholesterol accumulation: driver on the road to inflammation during atherosclerosis and non-alcoholic steatohepatitis. Obesity. 2014;15:424–433. doi: 10.1111/obr.12159. [DOI] [PubMed] [Google Scholar]
- 23.Min H-K, Kapoor A, Fuchs M, Mirshahi F, Zhou H, Maher J, et al. Increased hepatic synthesis and dysregulation of cholesterol metabolism is associated with the severity of nonalcoholic fatty liver disease. Cell Metab. 2012;15:665–674. doi: 10.1016/j.cmet.2012.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Caballero F, Fernández A, De Lacy AM, Fernández-Checa JC, Caballería J, García-Ruiz C. Enhanced free cholesterol, SREBP-2 and StAR expression in human NASH. J Hepatol. 2009;50:789–796. doi: 10.1016/j.jhep.2008.12.016. [DOI] [PubMed] [Google Scholar]
- 25.Puri P, Baillie RA, Wiest MM, Mirshahi F, Choudhury J, Cheung O, et al. A lipidomic analysis of nonalcoholic fatty liver disease. Hepatology. 2007;46:1081–1090. doi: 10.1002/hep.21763. [DOI] [PubMed] [Google Scholar]
- 26.Musso G, Gambino R, De Michieli F, Cassader M, Rizzetto M, Durazzo M, et al. Dietary habits and their relations to insulin resistance and postprandial lipemia in nonalcoholic steatohepatitis. Hepatology. 2003;37:909–916. doi: 10.1053/jhep.2003.50132. [DOI] [PubMed] [Google Scholar]
- 27.Yasutake K, Nakamuta M, Shima Y, Ohyama A, Masuda K, Haruta N, et al. Nutritional investigation of non-obese patients with non-alcoholic fatty liver disease: the significance of dietary cholesterol. Scand J Gastroenterol. 2009;44:471–477. doi: 10.1080/00365520802588133. [DOI] [PubMed] [Google Scholar]
- 28.Phinikaridou A, Hallock KJ, Qiao Y, Hamilton JA. A robust rabbit model of human atherosclerosis and atherothrombosis. J Lipid Res. 2009;50:787–797. doi: 10.1194/jlr.M800460-JLR200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Phinikaridou A, Ruberg FL, Hallock KJ, Qiao Y, Hua N, Viereck JC, et al. In vivo detection of vulnerable atherosclerotic plaque by magnetic resonance imaging in a rabbit model. Circ Cardiovasc Imaging. 2010;3:323–332. doi: 10.1161/CIRCIMAGING.109.918524. [DOI] [PubMed] [Google Scholar]
- 30.Phinikaridou A, Hua N, Pham T, Hamilton JA. Regions of low endothelial shear stress colocalize with positive vascular remodeling and atherosclerotic plaque disruption: an in vivo magnetic resonance imaging study. Circ Cardiovasc Imaging. 2013;6:302–310. doi: 10.1161/CIRCIMAGING.112.000176. [DOI] [PubMed] [Google Scholar]
- 31.Abela GS, Picon PD, Friedl SE, Gebara OC, Miyamoto A, Federman M, et al. Triggering of plaque disruption and arterial thrombosis in an atherosclerotic rabbit model. Circulation. 1995;91:776–784. doi: 10.1161/01.CIR.91.3.776. [DOI] [PubMed] [Google Scholar]
- 32.Pham TA, Hua N, Phinikaridou A, Killiany R, Hamilton J. Early in vivo discrimination of vulnerable atherosclerotic plaques that disrupt: a serial MRI study. Atherosclerosis. 2016;244:101–107. doi: 10.1016/j.atherosclerosis.2015.11.013. [DOI] [PubMed] [Google Scholar]
- 33.Lee SS, Park SH. Radiologic evaluation of nonalcoholic fatty liver disease. World J Gastroenterol. 2014;20:7392–7402. doi: 10.3748/wjg.v20.i23.7392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Vanhamme L, van den Boogaart A, Van Huffel S. Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J Magn Reson. 1997;129:35–43. doi: 10.1006/jmre.1997.1244. [DOI] [PubMed] [Google Scholar]
- 35.Qiao Y, Ronen I, Viereck J, Ruberg FL, Hamilton JA. Identification of atherosclerotic lipid deposits by diffusion-weighted imaging. Arterioscler Thromb Vasc Biol. 2007;27:1440–1446. doi: 10.1161/ATVBAHA.107.141028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ruberg FL, Viereck J, Phinikaridou A, Qiao Y, Loscalzo J, Hamilton JA. Identification of cholesteryl esters in human carotid atherosclerosis by ex vivo image-guided proton MRS. J Lipid Res. 2006;47:310–317. doi: 10.1194/jlr.M500431-JLR200. [DOI] [PubMed] [Google Scholar]
- 37.De Ritis F, Coltorti M, Giusti G. An enzymic test for the diagnosis of viral hepatitis: the transaminase serum activities. 1957. Clin Chim Acta. 2006;369:148–152. doi: 10.1016/j.cca.2006.05.001. [DOI] [PubMed] [Google Scholar]
- 38.Sorbi D, Boynton J, Lindor KD. The ratio of aspartate aminotransferase to alanine aminotransferase: potential value in differentiating nonalcoholic steatohepatitis from alcoholic liver disease. Am J Gastroenterol. 1999;94:1018–1022. doi: 10.1111/j.1572-0241.1999.01006.x. [DOI] [PubMed] [Google Scholar]
- 39.Kerwin WS. Noninvasive imaging of plaque inflammation. JACC Cardiovasc Imaging. 2010;3:1136–1138. doi: 10.1016/j.jcmg.2010.09.004. [DOI] [PubMed] [Google Scholar]
- 40.Okamoto H, Yonemori F, Wakitani K, Minowa T, Maeda K, Shinkai H. A cholesteryl ester transfer protein inhibitor attenuates atherosclerosis in rabbits. Nature. 2000;406:203–207. doi: 10.1038/35018119. [DOI] [PubMed] [Google Scholar]
- 41.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;23:160–167. doi: 10.1161/01.ATV.0000054658.91146.64. [DOI] [PubMed] [Google Scholar]
- 42.Fan J, Kitajima S, Watanabe T, Xu J, Zhang J, Liu E, et al. Rabbit models for the study of human atherosclerosis: from pathophysiological mechanisms to translational medicine. Pharmacol Ther. 2015;146:104–119. doi: 10.1016/j.pharmthera.2014.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bazick J, Donithan M, Neuschwander-Tetri BA, Kleiner D, Brunt EM, Wilson L, et al. Clinical model for NASH and advanced fibrosis in adult patients with diabetes and NAFLD: guidelines for referral in NAFLD. Diabetes Care. 2015;38:1347–1355. doi: 10.2337/dc14-1239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Melvin JC, Rodrigues C, Holmberg L, Garmo H, Hammar N, Jungner I, et al. Gamma-glutamyl transferase and C-reactive protein as alternative markers of metabolic abnormalities and their associated comorbidities: a prospective cohort study. Int J Mol Epidemiol Genet. 2012;3:276–285. [PMC free article] [PubMed] [Google Scholar]
- 45.Ali SS, Oni ET, Blaha MJ, Veledar E, Feiz HR, Feldman T, et al. Elevated gamma-glutamyl transferase is associated with subclinical inflammation independent of cardiometabolic risk factors in an asymptomatic population: a cross-sectional study. Nutr Metab. 2016;13:37. doi: 10.1186/s12986-016-0097-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bradley RD, Fitzpatrick AL, Jacobs DR, Jr, Lee D-H, Swords Jenny N, Herrington D. Associations between γ-glutamyltransferase (GGT) and biomarkers of atherosclerosis: the multi-ethnic study of atherosclerosis (MESA) Atherosclerosis. 2014;233:387–393. doi: 10.1016/j.atherosclerosis.2014.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ramadori G, Saile B. Portal tract fibrogenesis in the liver. Lab Invest. 2004;84:153–159. doi: 10.1038/labinvest.3700030. [DOI] [PubMed] [Google Scholar]
- 48.Goguet-Surmenian E, Hasturk H, Kantarci A, Andry C, Serhan CN, Van Dyke TJ. Preclinical hepatotoxicity of lipid mediators in rabbits. J Dent Res. 2009;88(Spec Iss A):3029. [Google Scholar]
- 49.Sanda GE, Belur AD, Teague HL, Mehta NN. Emerging associations between neutrophils, atherosclerosis, and psoriasis. Curr Atheroscler Rep. 2017;19:53. doi: 10.1007/s11883-017-0692-8. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data and animal tissue samples will be made available on reasonable request from the corresponding author.