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Cited by 118Atherosclerosis and Cardiovascular DiseasesCholesterol and Lipid MetabolismCerebrovascular and Carotid Artery Diseases

The DOI matches its Crossref record; 37 of the 38 references it cites were found in a registry or an index.

Regression of Atherosclerosis Is Characterized by Broad Changes in the Plaque Macrophage Transcriptome

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Feig, Jonathan E., Vengrenyuk, Yuliya, Reiser, Vladimir, Wu, Chaowei, Statnikov, Alexander, Aliferis, Constantin F., Garabedian, Michael J., Fisher, Edward A., Puig, Oscar·2012·PLoS ONE
DOI 10.1371/journal.pone.0039790PMC PMC3384622
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Abstract

We have developed a mouse model of atherosclerotic plaque regression in which an atherosclerotic aortic arch from a hyperlipidemic donor is transplanted into a normolipidemic recipient, resulting in rapid elimination of cholesterol and monocyte-derived macrophage cells (CD68+) from transplanted vessel walls. To gain a comprehensive view of the differences in gene expression patterns in macrophages associated with regressing compared with progressing atherosclerotic plaque, we compared mRNA expression patterns in CD68+ macrophages extracted from plaque in aortic aches transplanted into normolipidemic or into hyperlipidemic recipients. In CD68+ cells from regressing plaque we observed that genes associated with the contractile apparatus responsible for cellular movement (e.g. actin and myosin) were up-regulated whereas genes related to cell adhesion (e.g. cadherins, vinculin) were down-regulated. In addition, CD68+ cells from regressing plaque were characterized by enhanced expression of genes associated with an anti-inflammatory M2 macrophage phenotype, including arginase I, CD163 and the C-lectin receptor. Our analysis suggests that in regressing plaque CD68+ cells preferentially express genes that reduce cellular adhesion, enhance cellular motility, and overall act to suppress inflammation.

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Figure 1 Transfer of plaques to a normolipidemic plasma environment decreases their size and reduces their burden of CD68+ cells and cholesteryl esters. Transplantation experiments were performed as described in Methods. Reversal of dyslipidemia (WT recipient) decreases plaque size (A) and CD68+ cell content (B) but continued dyslipidemia (apoE−/−) does not. Cholesteryl ester content was estimated by Oil Red O staining, which showed a decrease when the recipient was a WT mouse but not an apoE−/− mouse (C). The symbol * corresponds to statistical significance, p<0.05, when compared to donor apoE−/− mice (Baseline).
Figure 1 Transfer of plaques to a normolipidemic plasma environment decreases their size and reduces their burden of CD68+ cells and cholesteryl esters. Transplantation experiments were performed as described in Methods. Reversal of dyslipidemia (WT recipient) decreases plaque size (A) and CD68+ cell content (B) but continued dyslipidemia (apoE−/−) does not. Cholesteryl ester content was estimated by Oil Red O staining, which showed a decrease when the recipient was a WT mouse but not an apoE−/− mouse (C). The symbol * corresponds to statistical significance, p<0.05, when compared to donor apoE−/− mice (Baseline).CC BY · PubMed Central
Figure 2 Identification of a plaque regression differential profile. (A) Depiction of the procedure used to determine the plaque regression differential profile. Plaques from apoE−/− mice on a high fat diet were left intact (baseline) or the aortic arch (red semi circle) was transplanted into WT (regression) or apoE−/− (progression) mice. After 3 days, CD68+ cells were selected by Laser Capture Microdissection (LCM), RNA was prepared, amplified, labeled and hybridized to DNA microarray containing 23623 sequences. (B) Sequences affected by the transplantation procedure were defined as genes that were different in baseline (not transplanted) vs. progression (transplanted) groups (ANOVA P>0.1) and were removed from analysis. This left 1826 sequences that were differentially expressed between progression and regression groups (ANOVA P<0.05, in red). This set was further refined using Resolver error model (P>0.05), which eliminates unreliable variance estimation, and a 1.2 fold change filter, resulting in 1215 sequences that are referred to as the “plaque regression” differential profile. C) Heat map of genes differentially expressed in baseline, progression and regression. Individual aortic samples are on the Y-axis, individual genes are on the X-axis.
Figure 2 Identification of a plaque regression differential profile. (A) Depiction of the procedure used to determine the plaque regression differential profile. Plaques from apoE−/− mice on a high fat diet were left intact (baseline) or the aortic arch (red semi circle) was transplanted into WT (regression) or apoE−/− (progression) mice. After 3 days, CD68+ cells were selected by Laser Capture Microdissection (LCM), RNA was prepared, amplified, labeled and hybridized to DNA microarray containing 23623 sequences. (B) Sequences affected by the transplantation procedure were defined as genes that were different in baseline (not transplanted) vs. progression (transplanted) groups (ANOVA P>0.1) and were removed from analysis. This left 1826 sequences that were differentially expressed between progression and regression groups (ANOVA P<0.05, in red). This set was further refined using Resolver error model (P>0.05), which eliminates unreliable variance estimation, and a 1.2 fold change filter, resulting in 1215 sequences that are referred to as the “plaque regression” differential profile. C) Heat map of genes differentially expressed in baseline, progression and regression. Individual aortic samples are on the Y-axis, individual genes are on the X-axis.CC BY · PubMed Central
Figure 3 Regression is characterized by increasing expression of contractile proteins and down-regulation of cadherins. CD68+ cells were selected from plaques by LCM, RNA was isolated and qPCR performed in order to validate microarray results. The results of qPCR showed that the contractile proteins were up-regulated (A), whereas members of the cadherin family were down-regulated (B). The symbol * corresponds to statistical significance, p<0.05, when mRNA level in the aortas from a transplanted group (apoE−/−, WT) was compared to mRNA in aortas from donor apoE−/− mice (Baseline). 9 mice were analyzed per group. Cyclophilin A was used for normalization in both cases.
Figure 3 Regression is characterized by increasing expression of contractile proteins and down-regulation of cadherins. CD68+ cells were selected from plaques by LCM, RNA was isolated and qPCR performed in order to validate microarray results. The results of qPCR showed that the contractile proteins were up-regulated (A), whereas members of the cadherin family were down-regulated (B). The symbol * corresponds to statistical significance, p<0.05, when mRNA level in the aortas from a transplanted group (apoE−/−, WT) was compared to mRNA in aortas from donor apoE−/− mice (Baseline). 9 mice were analyzed per group. Cyclophilin A was used for normalization in both cases.CC BY · PubMed Central
Figure 4 Regression is characterized by macrophages expressing M2 markers. (A) qPCR analysis for RNA encoding arginase I (Arg I), CD163 and C-lectin receptor was performed on RNA extracted from CD68+ cells removed from plaques that were not transplanted (baseline), plaques transplanted into apoE−/− recipients (progression environment) and plaques transplanted into wild type recipients (WT, regression environment). The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from transplanted aortas (apoE−/−, WT) was compared to signal in RNA from aortas in donor apoE−/− mice (Baseline). 9 mice were analyzed per group. Cyclophilin A was used for normalization. (B), qPCR analysis for RNA encoding Cxcl2, Cxcl5 and IL1b. The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from apoE−/− was compared to signal in RNA from WT mice. 9 mice were analyzed per group. GAPDH was used for normalization. (C) Arginase I staining shows increased protein levels in regression.
Figure 4 Regression is characterized by macrophages expressing M2 markers. (A) qPCR analysis for RNA encoding arginase I (Arg I), CD163 and C-lectin receptor was performed on RNA extracted from CD68+ cells removed from plaques that were not transplanted (baseline), plaques transplanted into apoE−/− recipients (progression environment) and plaques transplanted into wild type recipients (WT, regression environment). The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from transplanted aortas (apoE−/−, WT) was compared to signal in RNA from aortas in donor apoE−/− mice (Baseline). 9 mice were analyzed per group. Cyclophilin A was used for normalization. (B), qPCR analysis for RNA encoding Cxcl2, Cxcl5 and IL1b. The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from apoE−/− was compared to signal in RNA from WT mice. 9 mice were analyzed per group. GAPDH was used for normalization. (C) Arginase I staining shows increased protein levels in regression.CC BY · PubMed Central
Figure 5 Multivariate causal pathway analysis for genes involved in regression. (A) Heatmap displaying the relative levels of the 6 genes selected by HITON-PC algorithm for causal relationship to regression vs. progression/baseline task (Y-axis) in each of the 22 analyzed aortic samples (X-axis). B) RNA was isolated from laser captured CD68+ cells. qPCR was then performed in order to validate microarray results. The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from aortas in regression (apoE −/−) was compared to signal in RNA from aortas in progression (WT). 9 mice were analyzed per group. GAPDH was used for normalization. C) Immunostaining for vinculin in a plaque derived from an aortic arch transplanted from an apoE−/− mouse into a wild type normolipidemic mouse (apoE−/− > WT) and from an apoE−/− mouse into a different apoE−/− mouse (apoE−/− > apoE−/−).
Figure 5 Multivariate causal pathway analysis for genes involved in regression. (A) Heatmap displaying the relative levels of the 6 genes selected by HITON-PC algorithm for causal relationship to regression vs. progression/baseline task (Y-axis) in each of the 22 analyzed aortic samples (X-axis). B) RNA was isolated from laser captured CD68+ cells. qPCR was then performed in order to validate microarray results. The symbol * corresponds to statistical significance, p<0.05, when signal in RNA from aortas in regression (apoE −/−) was compared to signal in RNA from aortas in progression (WT). 9 mice were analyzed per group. GAPDH was used for normalization. C) Immunostaining for vinculin in a plaque derived from an aortic arch transplanted from an apoE−/− mouse into a wild type normolipidemic mouse (apoE−/− > WT) and from an apoE−/− mouse into a different apoE−/− mouse (apoE−/− > apoE−/−).CC BY · PubMed Central

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Metadata

Authors
Feig, J. E., Vengrenyuk, Y., Reiser, V., Wu, C., Statnikov, A., Aliferis, C. F., Garabedian, M. J., Fisher, E. A., & Puig, O.
Affiliations
New York University (US)
Corresponding author
Fisher, Edward A.
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2012-06-27
Volume
7
Issue
6
Pages
e39790
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0039790
PMC
PMC3384622
OpenAlex
W2167104273
Cited by
118
References
38
Citations by year
2026: 2 · 2025: 3 · 2024: 7 · 2023: 3 · 2022: 7 · 2021: 9 · 2020: 10 · 2019: 13 · 2018: 14 · 2017: 6 · 2016: 4 · 2015: 14 · 2014: 16 · 2013: 8 · 2012: 2
FWCI
5.57
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Institutes of Health
  • National Institute on Aging (AG-029748, F30AG029748)
  • National Heart, Lung, and Blood Institute (R01HL084312, HL-084312, T32HL098129)
  • U.S. National Library of Medicine (R56LM007948)
  • National Center for Research Resources (UL1RR029893)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cerebrovascular and Carotid Artery Diseases
Keywords
atherosclerosis regression, atherosclerotic plaque, macrophages, macrophage transcriptome, CD68+ macrophages, M2 macrophage phenotype, anti-inflammatory macrophages, cell motility, cell adhesion, arginase-1, CD163, hyperlipidemia, plaque regression
MeSH terms
CD68 Molecule, Animals, Apolipoproteins E, Macrophages, Mice, Inbred C57BL, Antigens, Differentiation, Myelomonocytic, Antigens, CD, Mice, Knockout, Atherosclerosis, Mice, Transcriptome, Real-Time Polymerase Chain Reaction

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