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(Circulation. 2007;115:609-616.)
© 2007 American Heart Association, Inc.
Molecular Cardiology |
From the Thoraxcenter, Department of Cardiology (D.S., F.H., C.C., L.C.A.v.D., D.T., E.B., P.W.S., A.F.W.v.d.S., R.K.) and Departments of Cell Biology and Genetics and of Vascular Surgery (R.d.C.), Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Cardiovascular Diseases (P.H.), Katholieke Universiteit Leuven, Leuven, Belgium; and Departments of Physiology, Technology (FMT), and Vascular Surgery (R.K.), VU Medical Center, Amsterdam, The Netherlands.
Correspondence to R. Krams, MD, PhD, VU Medical Center, Room C114, van de Boechorstraat 8, 1081 BT, Amsterdam, The Netherlands. E-mail r.krams{at}erasmusmc.nl
Received May 4, 2006; accepted October 30, 2006.
| Abstract |
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Methods and Results In hypercholesterolemic rabbits, atherosclerosis of the infrarenal aorta was induced by a combination of endothelial denudation and a high-cholesterol diet (2% cholesterol for 2 months). At the time of death, aortic vessel segments were dissected and reconstructed with a new technique that preserved the original intravascular ultrasoundderived lumen geometry. This enabled us to study the spatial relation of histological markers like macrophages, smooth muscle cells, lipids, gelatinolytic activity, and oxidized low-density lipoprotein. Results showed a predominant upstream localization of macrophages and gelatinase activity. Colocalization studies indicated that gelatinase activity was associated with macrophages and smooth muscle cells. Further analysis revealed that this was caused by subsets of smooth muscle cells and macrophages, which were associated with oxidized low-density lipoprotein accumulation.
Conclusions Upstream localization of a vulnerable plaque phenotype is probably due to an accumulation of oxidized low-density lipoprotein, which activates/induces subsets of smooth muscle cells and macrophages to gelatinase production.
Key Words: atherosclerosis gelatinases histology inflammation metalloproteinases oxidized low-density lipoprotein
| Introduction |
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Clinical Perspective p 616
Both plaque progression and plaque rupture have been associated with a larger infiltration of macrophages regardless of the underlying plaque morphology.10,11 Activated macrophages produce numerous factors, including matrix metalloproteinases (MMPs).12 MMPs belong to a family of zinc-activated proteases modulating the extracellular matrix in the vascular wall.1315 The activity of some family members induces weak spots in the extracellular matrix, thereby introducing a condition sensitive to plaque rupture.12,1618 Only a relatively small fraction of macrophages can be measured in the entire plaque19; therefore, either the process of plaque weakening may be very localized, or other cell types may be involved in the process. Indeed, several studies have indicated that, besides macrophages, endothelial cells and smooth muscle cells (SMCs) may produce MMPs when brought into an inflammatory, atherogenic environment.2022 Recently, a new technique has been introduced to measure gelatinolytic activity in histological cross sections with a high spatial resolution.23,24 We have adopted this method for vascular tissue and incorporated it into 3-dimensional histological reconstructions. Our second aim was to evaluate, using a combination of the above techniques, whether MMPs are active very locally or multiple cell types are involved in experimental atherosclerosis in vivo.
Low-density lipoprotein (LDL) accumulates in the vessel wall where it may become oxidized (oxLDL). OxLDL is known to be involved in many processes related to atherosclerosis, including stimulation of macrophage infiltration and foam cell formation, stimulation of vascular SMC migration and proliferation, and endothelial cell apoptosis.2529 Recent studies indicated that oxLDL is associated with plaque instability.29 This observation might be explained by the modulation of activation of some MMP family members by oxLDL.15 Most of the oxLDL-related studies, however, have been conducted on isolated cells in vitro, which are devoid of the complex environment of the atherosclerotic vessel wall, thereby identifying the need to study the role of oxLDL in vivo. It is presently unknown whether oxLDL is distributed heterogeneously within the plaque or if it is associated locally with gelatinolytic activity in plaques in vivo. Therefore, the third aim of the present study was to evaluate whether oxLDL might be the cause of the spatially restricted accumulation of activated macrophages in plaques in vivo.
| Methods |
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Follow-Up
After 8 weeks of follow-up, rabbits were anesthetized as described above. Next, the right femoral artery was dissected for the introduction of a 4F sheath. An angiographic overview of the infrarenal aorta was performed, and radiopaque markers were located subcutaneously to indicate the previously denuded region. Subsequently, the intravascular ultrasound pullback was repeated at the location of the previously denuded segment. Then, the abdomen was opened; a longitudinal marker and 2 transverse markers were placed externally on the aortic vessel wall; the lumen was filled with OCT (optimal cutting temperature) compound (Tissue-Tek, Sakura Finetek Inc, Torrance, Calif); and the arterial segment of interest was dissected, collected, and snap-frozen in liquid nitrogen. The distance between both transverse markers was measured before and after excision and was used to calculate a correction factor for shrinkage resulting from arterial elasticity.
All experiments were performed in accordance with institutional regulations and the Guide for the Care and Use of Laboratory Animals as approved by the Council of the American Physiological Society.
Plasma Lipids
Lipid profiles were measured according to well-established enzymatic calorimetric methods (Roche Diagnostics, Pleasanton, Calif). Cholesterol levels were determined at the 8-week follow-up in the present hypercholesterolemic group and in a normocholesterolemic control group, which consisted of sex- and age-matched rabbits.
Intravascular Ultrasound
The high-resolution videotaped intravascular ultrasound data were digitized at intervals of 0.5 mm with a resolution of 800x600 pixels and stored on a standard personal computer. Next, the lumen and the acoustic interface between media and the adventitial layer were traced semiautomatically by a well-validated software package30; then the lumen area and media bounded area were calculated from these contours. The difference between these 2 was defined as the wall area.
Tissue Harvesting and Histological Analysis
From the excised 5-cm aortic segment, tissue blocks were prepared every 2 mm with a cutting device developed in-house. This resulted in
20 to 25 blocks per blood vessel, depending on the extent of shrinkage. Immunohistochemistry was performed on 5-µm cryosections obtained from the middle of the 2-mm tissue blocks. Sections were stained for macrophages (RAM-11, Dako Diagnostics BV, Glostrup, Denmark), SMCs (
-actin, Dako Diagnostics BV, Glostrup, Denmark), oxLDL (epitope against apolipoprotein B100,31 a kind gift from P. Holvoet, PhD), and lipids (Oil Red O, Sigma, Rotterdam, the Netherlands). After staining, sections were digitized with a high-resolution charge-coupled camera (Axiocam HR, Zeiss, Jena, Germany) and quantitatively analyzed with commercial image-analysis software (Clemex Technologies Inc, Longueuil, Canada).
In Situ Zymography
Gelatinolytic activity was demonstrated in unfixed cryosections with DQ-gelatin as a substrate (EnzChek, Molecular Probes, Eugene, Ore). Sections were air-dried for 60 minutes; during that period, DQ-gelatin was dissolved in a concentration of 1 mg/mL in Milli-Q and then diluted 1:10 in 1% (wt/vol) low-gelling-temperature agarose (Sigma) in phosphate-buffered saline. Subsequently, 25 µL of this mixture was placed on each cryosection and incubated for 2 hours at room temperature after placement of a coverslip. Fluorescence was detected with a confocal microscope (LSM 510 Meta, Zeiss) using an argon laser for excitation at 488 nm and emission collection at 512 to 542 nm with appropriate filters, background, and autofluorescence correction. Detailed testing for specificity of the in situ zymography was described previously23 and is explained in the online Data Supplement.
Three-Dimensional Histology
The 3-dimensional reconstruction of histological cross sections consisted of the following steps: (1) acquisition of quantitative image analysis data from histological sections; (2) rotation of sections on the basis of an externally placed longitudinal marker, which was still present after histological processing; (3) stacking of image data and correction for shrinkage in the longitudinal and radial directions; and (4) rotation of the entire stack of data with respect to the renal artery and mapping of histology on 3-dimensional intravascular ultrasound reconstructions. Details of the 3-dimensional reconstruction, including several tests, are given in the online Data Supplement.
Data and Statistical Analyses
As a first approach, we averaged each histological variable (plaque area, macrophages, SMCs, lipids, gelatinolytic activity, and oxLDL) per cross section and displayed the longitudinal heterogeneity per blood vessel. Subsequently, plaque areas of each blood vessel were shifted so that maximal plaque areas of all vessels were aligned. The shift for each individual blood vessel was applied to all its histological variables, which eventually were spatially averaged. To study spatial differences in relation to the histological variables described above and in relation to plaque area, spatial averages were calculated upstream and downstream of the maximum plaque area for each individual animal. Differences between these averages were then evaluated by an exact Wilcoxon signed rank test.
To further explore underlying mechanisms, we performed colocalization studies of the reordered data and linear regression analyses. Colocalization was defined as the existence of 2 variables in the same radial segment. The colocalized pixels per histological variable were counted and divided by the number of total elements in the segment of interest. Differences between colocalization of macrophage-gelatinolytic activity and SMC-gelatinolytic activity and of macrophage-oxLDL and SMC-oxLDL were tested. In addition, percentage macrophages (area/area) and percentage SMC (area/area) were calculated, and differences in colocalization were tested as described above. Detailed explanation of the image segmentation is given in the online Data Supplement.
The authors had full access to and take responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
| Results |
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Longitudinal Plaque Heterogeneity Displays an Upstream Location of Inflammatory Cells, Gelatinolytic Activity, and a Vulnerable Phenotype
In plaques generated in the aorta of a representative hypercholesterolemic rabbit, longitudinal plaque heterogeneity of lipid particles, macrophages, and SMCs was clearly present (Figure 1). Surprisingly, a similar upstream accumulation of gelatinolytic activity and oxLDL was measured (Figure 2). When the data were shifted and spatially averaged (see above), the predominant accumulation of macrophages was demonstrated for all animals (Figure 3). Distribution of each variable with plaque area revealed a higher accumulation of macrophages upstream (11.6%) compared with downstream (7.9%; P=0.016) of the plaque. In contrast, a more diffuse distribution of vascular SMCs (26.6% versus 27.1%) and lipids (2.9% versus 2.5%) was measured. As a consequence, a local vulnerability index (modified from Shiomi et al32) displayed a maximum upstream of maximal plaque area compared with downstream (3.2 versus 2.8; P=0.039) (Figure 4). This higher vulnerability upstream is similar to observations in the carotid arteries of patients.7
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In Vivo Gelatinolytic Activity Is Colocalized With Both SMCs and Macrophages
Inspection of histological cross sections revealed that both SMCs and macrophages were associated with gelatinolytic activity (Figure 5). Quantitative analysis confirmed these findings because the total amount of gelatinolytic activity associated with SMCs and macrophages was 85±10%, distributed into an equal SMC-gelatinase fraction of 42±7% and macrophage-gelatinase fraction of 43±9% (Figure 6). Although this pointed to a similar contribution of SMC and macrophages to overall gelatinolytic activity, these fractions represent only a minor fraction of overall macrophage (23±7%) and SMC (22±7%) content, which were similar for both cell types. When we reexamined the cross section containing gelatinase-producing vascular SMCs and macrophages, we identified foamy SMCs and foamy macrophages (Figure 5, right).
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OxLDL Identifies Subsets of Gelatinase-Producing SMCs and Macrophages
Inspection of histological cross sections revealed that both SMCs and macrophages were associated with oxLDL accumulation (Figure 5). These single observations were confirmed by quantitative analysis; OxLDL almost entirely (98±19%) colocalizes with both macrophages and SMCs, with an even distribution between both cell types (SMC: 54±9% and macrophages: 44±7%) (Figure 6). These colocalization studies identified similar subsets of SMCs (28±4%) and macrophages (28±8%) that were spatially associated with oxLDL.
| Discussion |
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Using a new 3-dimensional reconstruction technique for histology, we were able to show that the inflammatory component in the atherosclerotic plaque was spatially located upstream of the maximal cross-sectional plaque area, similar to that reported for human conditions.7 In addition, we demonstrated that gelatinolytic activities also were spatially confined to the same region and were associated with macrophages and SMCs. This tight spatial localization of gelatinases enabled us to study colocalization with other cell types. We found that not only macrophages but also SMCs contributed significantly to gelatinolytic activity in vivo. Previous studies indicated that SMCs in culture produce proMMP-2 after stimulation and, at the same time, reduce their production of tissue inhibitor of metalloproteinase, leading to a higher MMP-2 activity.35 Furthermore, macrophages stimulated with oxLDL decrease their tissue inhibitor of metalloproteinase-1 release and increase proMMP-9 release, leading to MMP-9 activation.22 The imbalance between tissue inhibitor of metalloproteinase and pro-MMP release may explain the high gelatinase activity found in the present study. Thus, from the present findings, one may postulate that local weak spots in the extracellular matrix occur upstream of the plaque because of a highly localized gelatinolytic concentration produced by both (foamy) macrophages and (foamy) SMCs.
The reason that such a localized accumulation of cells in atherosclerotic plaques occurs is currently unknown, but several lines of evidence indicate that oxLDL is involved. OxLDL has been measured in (vulnerable) plaques, where it modulates macrophage accumulation and foam cell formation through the expression of adhesion factors, secretion of monocyte chemotactic protein-1, migration of SMCs, and apoptosis of SMCs and endothelial cells2729,36 Furthermore, several studies identified a modulating effect of oxLDL on MMP activation by macrophages and SMCs in vitro.3741 Therefore, we tested whether oxLDL colocalized with macrophages and SMCs. Only 25% of either cell type was associated with oxLDL, but these 2 cell types accounted for all oxLDL colocalization and all gelatinolytic activity in our plaques. This indicates that the total oxLDL is taken up by SMCs and macrophages in approximately similar amounts but that this uptake is performed by subsets of both cell types.
Highly evolutionary preserved subsets of monocytes have been identified in the blood of humans and mice,42,43 which results in different macrophage phenotypes as maturation occurs.43,44 These circulating subsets express different chemokine receptors43,45 and different scavenger receptors.43,44 These studies may offer an explanation for the finding of a subset of macrophages with a preferential location upstream of the plaque, combined with a particular predominance of foam cell differentiation.
Because subsets of SMCs may change into foam cells, their role in atherogenesis may have been underestimated.46,47 Recently, it was demonstrated that discrete clones of SMCs exist in human vessels that differentially accumulate cholesteryl esters when exposed to oxidized lipoproteins.47,48 Once turned into foamy SMC, they start to produce cytokines and express chemokine receptors,49 providing an explanation for their tight colocalization within the plaque. The fact that foamy SMCs and foamy macrophages are located in similar vessel segments might be explained by the evidence that macrophages secrete factors enhancing uptake of cholesteryl ester by vascular SMCs.50 To the best of our knowledge, the association of foamy SMC subsets, foamy macrophage subsets, and gelatinolytic activity in atherosclerotic plaques in vivo has not been described before.
Limitations of the methods are described in the online Data Supplement.
| Conclusions |
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| Acknowledgments |
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The State Department of Economic Affairs of the Netherlands is gratefully acknowledged for financing F. Helderman. R. Krams is a recipient of an Established Investigator Grant of the Netherlands Heart Foundation (project 2002T045). C. Cheng was supported by the Interuniverisity Cardiologic Institute of the Netherlands (ICIN, project 33). At the Katholieke Universiteit Leuven, this project has been supported by the Fonds voor Wetenschappelijk Onderzoek-Vlaanderen (program G0232.05) and the Interuniversity Attraction Poles Program P5/02.
Disclosures
None.
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