Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

TREM-1 links dyslipidemia to inflammation and lipid deposition in atherosclerosis

Abstract

Triggering receptor expressed on myeloid cells-1 (TREM-1) is a potent amplifier of pro-inflammatory innate immune responses, but its significance in non-infectious diseases remains unclear. Here, we demonstrate that TREM-1 promotes cardiovascular disease by exacerbating atherosclerosis. TREM-1 is expressed in advanced human atheromas and is highly upregulated under dyslipidemic conditions on circulating and on lesion-infiltrating myeloid cells in the Apoe−/− mouse model. TREM-1 strongly contributes to high-fat, high-cholesterol diet (HFCD)-induced monocytosis and synergizes with HFCD serum-derived factors to promote pro-inflammatory cytokine responses and foam cell formation of human monocyte/macrophages. Trem1−/−Apoe−/− mice exhibit substantially attenuated diet-induced atherogenesis. In particular, our results identify skewed monocyte differentiation and enhanced lipid accumulation as novel mechanisms through which TREM-1 can promote atherosclerosis. Collectively, our findings illustrate that dyslipidemia induces TREM-1 surface expression on myeloid cells and subsequently synergizes with TREM-1 to enhance monopoiesis, pro-atherogenic cytokine production and foam cell formation.

Introduction

Cardiovascular disease represents the leading cause of mortality in industrialized nations. The main underlying pathological process is atherosclerosis, which is increasingly recognized as a complex chronic inflammatory disease of the arteries that is critically driven by cells and mediators of the innate immune system1. Murine models of atherosclerosis have firmly established the causal link between hypercholesterolemia, monocytosis, lesional macrophages and atherosclerotic plaque severity2,3. Accordingly, a hypercholesterolemic environment directly acts on bone marrow (BM) haematopoietic stem and progenitor cells to trigger myelopoiesis4. Circulating monocytes are recruited to arterial vessels where the endothelium has been activated by the retention and oxidation of low-density lipoproteins (LDL)5,6. Following their transmigration to the intima, monocytes differentiate to macrophages and upregulate expression of scavenger receptors. Through the ingestion of oxidized LDL (oxLDL) and ensuing cholesterol accumulation, these macrophages turn into pro-inflammatory lipid-laden foam cells which critically contribute to lesion growth6,7. While it is accepted that mainly the pro-inflammatory Ly6Chi monocytes give rise to foam cells2,3,8,9, the reported presence of distinct lesional macrophage subsets with discrete functional profiles remains difficult to apprehend10,11, in particular, as arterial macrophages are of diverse developmental origins12 and local proliferation also appears to contribute to the lesional macrophage pool13.

The significance of innate immune activation in atherosclerosis and the largely non-infectious aetiology of the disease raise intriguing questions regarding the factors and receptors that can mediate the stimulation of primary monocytes, promote their differentiation into macrophages and sustain the chronic activation of lesional macrophages. Mice lacking Toll-like receptors 4 (TLR4) or myeloid differentiation primary response gene 88 (MyD88) exhibit substantially reduced plaque size14,15, however, raising the atherosclerosis-susceptible Apoe−/− strain on a germ-free background does not confer protection16. An increasing wealth of data indeed suggests that endogenous factors representing danger-associated molecular patterns (DAMP) may play a fundamental role in the triggering of TLR, nucleotide-binding and oligomerization domain (NOD)-like receptor (NLR) family members and other pattern recognition receptors (PRR) in the context of the sterile inflammatory process in atherosclerosis1. Heat-shock protein 60, saturated fatty acids and modified LDL have been documented as ligands for TLR4 (refs 1, 17). Experimental blockade of the DAMP molecule high-mobility group box protein-1 (HMGB1), which is released by necrotic cells and activated macrophages and is overexpressed in atherosclerotic lesions18, reduces development of atherosclerosis19. Recent studies have further identified cholesterol crystal-mediated activation of the NOD-like receptor protein 3 (NLRP3) inflammasome20,21 and fatty acid-induced mitochondrial uncoupling22 as novel links between metabolic stress, IL-1-driven innate inflammation and atherogenesis. Importantly, emerging evidence strongly suggests that PRR act together or with other cell surface receptors to initiate and amplify signalling in atherosclerosis as illustrated by the non-redundant role of the oxLDL-binding type B scavenger receptor CD36 in coordinating NLRP3 activation and TLR4/6 assembly23,24.

Triggering receptor expressed on myeloid cells-1 (TREM-1) potently amplifies oxidative burst and pro-inflammatory cytokine secretion when signalling in concert with other PRR25,26. The role of TREM-1 has mostly been acknowledged from acute infection models where blockade of TREM-1 conferred significant protection27. However, data generated by us and others strongly suggest—in line with the identification of HMGB1 and multimerized peptidoglycan recognition protein-1 (PGLYRP1) as potential non-bacterial ligands28,29,30—that TREM-1 may also substantially contribute to chronic and non-infectious inflammatory conditions29,31,32,33,34,35,36,37,38,39,40. On the basis of the prominent expression of TREM-1 by neutrophils and monocytes and its synergistic action with both TLRs and PRRs of the NACHT-LRR class25,26, we hypothesized that TREM-1 represents a central player for innate immune activation in atherosclerosis. Here, we demonstrate that TREM-1 indeed aggravates diet-induced atherogenesis. Mechanistically, TREM-1-mediated signalling exacerbates monocytosis in vivo by skewing myeloid differentiation towards increased monocyte output. Moreover, TREM-1 stimulation potently impacts on the expression of CD36 as well as other genes involved in lipid metabolism and augments the pro-inflammatory cytokine responses and foam cell formation of human monocytes/macrophages in vitro. Our findings establish a distinct role for TREM-1 in a chronic inflammatory disorder of non-infectious origin and reveal two so far unappreciated effects of TREM-1 on myelopoiesis and cellular cholesterol metabolism.

Results

TREM-1 aggravates atherosclerosis

We assessed the potential role of TREM-1 in atherogenesis using the Trem1−/− mouse strain that was recently generated and characterized by our laboratory31. Trem1−/− mice were backcrossed onto the atherosclerosis-susceptible Apoe−/− background and 6–8-week-old female Trem1−/− Apoe−/− and Trem1+/+ Apoe−/− mice were concurrently placed on a high-fat, high-cholesterol-containing diet (HFCD). At 16 weeks post HFCD feeding, Trem1−/− Apoe−/− mice exhibited a 40% reduction in the overall extent of atherosclerosis in the aorta (Fig. 1a,b). The decreased atherosclerotic surface area in Trem1−/− Apoe−/− mice was due to a substantially smaller average lesion size rather than being associated with reduced numbers of individually enumerable lesions (Fig. 1c,d). While the effect of the TREM-1 deficiency was clearly apparent throughout the aorta, this difference was not reflected by the cross-sectional lesion area at the aortic root (Fig. 1e,f). Atherosclerotic lesions usually develop first at this anatomical site and had, at 16 weeks post HFCD, already progressed to very advanced plaques, thus very likely masking the effect of TREM-1 deficiency on atherogenesis.

Figure 1: TREM-1 promotes atherogenesis in absence of an altered lipid metabolism.
figure1

(ad) Extent of atherosclerosis in female Trem1+/+ Apoe−/− (n=13) and Trem1−/− Apoe−/− mice (n=12) at 16 weeks post HFCD feeding as assessed by computational analysis of Oil-red O (ORO) stained aortas. (a) Selected examples of en face preparations of the aortas; for each group of mice, an aorta with a representative extent of atherosclerosis is shown. Scale bars, 10 mm. (b) Overall extent of atherosclerosis (aortic lesion surface area expressed as % of total aortic surface). (c) Mean individual lesion size per individual mouse and aorta. (d) Number of enumerable lesions per aorta. (bd) Circles show individual data for mice from three pooled independent experiments, lines indicate mean values per group of mice. (e,f) Extent of atherosclerotic lesions in the aortic root at 16 weeks post HFCD feeding. (e) Representative examples of ORO-stained sections of the aortic root. Scale bars, 500 μm. (f) The lesion area was calculated from 10 sequential ORO-stained sections for each Trem1+/+ Apoe−/− (n=11) and Trem1−/− Apoe−/− (n=12) mouse. Circles show data for individual mice. (g) Fasting serum concentrations of total cholesterol, HDL-cholesterol and LDL cholesterol of Trem1+/+ Apoe−/− (n=13) and Trem1−/− Apoe−/− (n=12) mice at 16 weeks post HFCD feeding. ***P<0.001 as determined by the two-tailed t-test. Statistically not significant differences with P>0.05 are not indicated.

The pro-atherogenic impact of TREM-1 was not mediated by effects on lipid metabolism, since HFCD-fed Trem1−/− Apoe−/− and Trem1+/+ Apoe−/− mice exhibited similar total cholesterol, HDL-cholesterol and LDL-cholesterol levels (Fig. 1g). Moreover, HFCD-fed Trem1−/− Apoe−/− and Trem1+/+ Apoe−/− mice showed comparable fasting blood glucose levels and similar glucose clearance upon oral glucose challenge, which indicated equal insulin sensitivity in both groups of mice (Supplementary Fig. 1e–g). Taken together, these findings suggested a major impact of TREM-1 on atherosclerotic lesion progression but ruled out systemic effects on lipid or glucose metabolism as an underlying mechanism.

TREM-1 exacerbates dyslipidemia dependent monocytosis

In experimental models of diet-induced atherogenesis the severity of atherosclerosis closely correlates with increased numbers of circulating monocytes and neutrophils2,41. We therefore analysed the absolute numbers of peripheral blood myeloid cell subsets after 4 and 16 weeks of HFCD feeding (Fig. 2a and Supplementary Fig. 2a). HFCD-feeding induced a time-dependent increase in circulating Ly6Chi monocytes in both groups of mice (Fig. 2a). However, this HFCD-induced monocytosis was drastically reduced in mice lacking TREM-1 (Fig. 2a). HFCD feeding also resulted in a marked neutrophilia that, conversely, appeared to be more pronounced in Trem1−/− Apoe−/− mice (Fig. 2a). To investigate the underlying mechanisms behind the aggravated monocytosis in Trem1+/+ Apoe−/− mice, we examined the BM of 16-week chow diet or HFCD-fed mice (Fig. 2b–d and Supplementary Fig. 2b). Under chow-diet feeding, common myeloid progenitors (CMP) were phenotypically increased while granulocyte/macrophage progenitors (GMP) were significantly reduced in frequencies in Trem1−/− Apoe−/− mice (Fig. 2b). In contrast, frequencies of both CMPs and GMPs were decreased in Trem1−/− Apoe−/− mice under HFCD (Fig. 2b). Frequencies of lineage-negative (lin) cKithi Sca1+ stem/progenitor cells (LSK) were comparable between the two groups independently of the diet (Fig. 2b). To determine whether the enforced monocytosis in Trem1+/+ Apoe−/− mice was related to functional alterations in haematopoietic stem/progenitor cells, we determined myeloid BM colony-forming unit (CFU) capacity under chow diet and HFCD feeding. Both groups of mice had comparable CFUs irrespective of the diet (Fig. 2c). Surprisingly, however, HFCD-fed Trem1+/+ Apoe−/− mice formed more monocyte colonies (M) at the expense of granulocyte colonies (G) (Fig. 2d,e). In line with this finding, GMP from HFCD-fed Trem1+/+ Apoe−/− mice exhibited increased mRNA for Irf8, which is a key regulator of monocytic over granulocytic lineage differentiation (Fig. 2f)42. GMP, but not CMP or LSK cells, also expressed distinct levels of surface TREM-1 (Supplementary Fig. 2c)31. TREM-1 expression on GMP was not further increased by HFCD compared with chow diet feeding (Supplementary Fig. 2c); moreover, activation of sorted GMP by plate-bound anti-TREM-1 in presence or absence of HFCD serum did not augment monocyte differentiation in vitro (Supplementary Fig. 2d,e). These results indicated that the effect of TREM-1 on skewed monocyte differentiation was potentially indirect and/or upstream of GMP.

Figure 2: TREM-1 drives skewed monocyte differentiation and HFCD-dependent monocytosis.
figure2

(a) Absolute numbers of peripheral blood myeloid cell subsets before HFCD feeding (week 0; n=4), after 4 weeks of HFCD-feeding (n=4–5), after 16 weeks of HFCD-feeding (n=13–15) and after 16 weeks of chow-feeding (n=9–13) as determined by flow cytometry. Circles represent mean values+s.d. for each group. Data are pooled from three independent experiments for the 16-week time-point and from one experiment for the 0 and 4 week analyses. (b) Relative frequencies of LSK cells (Sca1+ cKithi), CMP (Sca1 cKithi FcgRlo CD34+) and GMP (Sca1 cKithi FcgR+ CD34+) cells among lineage (lin; Ter119, CD3e, Gr1 and B220) and CD127 BM cells isolated from 16-week-HFCD-fed or chow-fed mice. Bars show mean values+s.d. of n=6-9 HFCD-fed mice (two independent experiments) and n=4–5 chow-fed controls. (c) Myeloid colony-forming units per well of 5 × 103 plated lin BM cells and (d) relative frequencies of colony subtypes (M: monocyte colonies; G: granulocyte colonies; GM: mixed monocyte/granulocyte colonies). Data show mean values+s.d. of n=6–9 HFCD-fed mice (from two independent experiments) and from n=4–5 chow-fed mice per group. (e) Representative examples of CFU-G, CFU-M and CFU-GM. (f) mRNA expression of Irf8 and Cebpe in GMP isolated from 16-week-HFCD-fed mice. (g) Representative histograms for TREM-1 surface expression (lines) versus isotype control staining (filled) on peripheral blood neutrophils, Ly6Chi and Ly6Clo monocytes from Trem1+/+ Apoe−/− mice 16 weeks post chow or HFCD feeding. (h) Median fluorescence intensity (MFI) of TREM-1 surface expression (with subtracted MFI values of matched isotype control-stained cells) on peripheral blood myeloid cell subsets at the indicated time points post HFCD feeding in Trem1+/+ Apoe−/− (black symbols) and Trem1−/− Apoe−/− (open symbols) mice. Symbols indicate mean+s.d. of n=5 mice and data are representative of three independent experiments for Trem1+/+ Apoe−/− mice. (i) serum soluble TREM-1 was determined by ELISA. *P<0.05, **P<0.01, ***P<0.001 as determined by the two-way ANOVA test (two-tailed t-test for f). Statistically not significant differences with P>0.05 are not indicated.

Considering the synergistic impact of dyslipidemia and TREM-1 on the peripheral immune compartment, we in turn assessed the potential impact of HFCD feeding on TREM-1 surface expression by peripheral blood myeloid cell subsets. Concordant with previous findings31,43, TREM-1 was highly expressed on neutrophils and to a lower degree on Ly6Clo monocytes in chow-fed mice while no surface expression was detected on Ly6Chi monocytes (Fig. 2g). Intriguingly, HFCD feeding markedly upregulated TREM-1 expression on all myeloid subsets. The increase was most prominent for neutrophils and Ly6Clo monocytes, but was also evident for Ly6Chi monocytes (Fig. 2g,h). The modulated expression of surface TREM-1 was paralleled by an increase in serum sTREM-1 that was apparent already at 4 weeks post HFCD (Fig. 2i).

Taken together, these results suggested that dyslipidemia distinctly increases expression of TREM-1 on all circulating myeloid cell subsets and that TREM-1-mediated signalling in turn provokes skewed monocyte differentiation in the BM, resulting in exacerbated monocytosis and atherogenesis.

TREM-1 augments aortic macrophage accumulation

While our data so far suggested a contribution of TREM-1 to the HFCD-induced monocytosis, we also sought to investigate a potential contribution of TREM-1-expressing cells within the progressing atherosclerotic plaque. Trem1 mRNA was barely detectable in the aortic arches of young (before HFCD) or of 16-week chow diet-fed Trem1+/+ Apoe−/− (Fig. 3a). In contrast, 16-week HFCD feeding resulted in a markedly upregulated expression of TREM-1 mRNA (Fig. 3a and Supplementary Fig. 3a). The increased abundance of Trem1 transcripts was paralleled by a substantial appearance of Cd68 but not Ly6g expression (Fig. 3a), illustrating that lesion formation and vascular monocyte-macrophage accumulation rather than neutrophil infiltration correlated with Trem1 expression. In line with this, also expression of Trem2 but not Treml1 or Treml4 was higher in the aortic arch of 16-week HFCD-fed Trem1+/+ Apoe−/− mice compared to Trem1−/− Apoe−/− mice (Supplementary Fig. 3b).

Figure 3: Trem1 is expressed in situ and associates with increased macrophage accumulation.
figure3

(a) Trem1, Cd68 and Ly6g mRNA expression in the aortic arch of Trem1+/+ Apoe−/− mice before the start of diet (before HFCD) and at 16 weeks post chow or HFCD feeding was determined by qRT-PCR and normalized to the expression of Gapdh. ***P<0.001, ****P<0.0001. (b,c) RNA isolated from the aortic arch of Trem1+/+ Apoe−/− and Trem1−/− Apoe−/− mice before HFCD (n=3 per group) or at 16 weeks post chow (n=3 per group) or post HFCD feeding (n=5 and 7) was subjected to Nanostring nCounter-based quantification of gene expression. (b) PCA analysis. Each symbol represents an individual mouse. (c) Heat-maps of selected gene groups. Mean log fold changes in gene expression in the aortic arch of 16-week HFCD-fed Trem1+/+ Apoe−/− (n=5) over Trem1−/− Apoe−/− (n=7) mice are shown. PCA, principle component analysis.

The parallel increase in Trem1 and Cd68 transcripts at 16-weeks post HFCD indicated that not only the TREM-1-driven peripheral monocytosis but also local TREM-1-mediated activation of monocyte/macrophages could contribute to atherosclerotic lesion development. To further elucidate potential mechanisms underlying TREM-1-stimulated lesion progression, we subjected aortic tissues to a Nanostring-based gene expression profiling, using the nCounter Mouse Immunology panel supplemented with 30 genes of interest (Supplementary Table 1). Since the extremely low number of macrophages that were retrieved from digested aortas precluded gene expression analysis in isolated cells, we directed our analysis to the aortic arch where the least differences in total lesion size were observed between the two groups of mice at 16-weeks post HFCD feeding. Principal component analysis of the NanoString data indicated that the largest possible variance was induced by HFCD compared to chow diet feeding (Fig. 3b). However, among HFCD-fed mice, variances in gene expression were nonetheless evident between the Trem1+/+ Apoe−/− or Trem1−/− Apoe−/− group (Fig. 3b,c and Supplementary Table 2). As anticipated from Fig. 2a, the aggravated monocytosis in Trem1+/+ Apoe−/− mice primarily translated into increased aortic expression of multiple monocyte/macrophage-related markers (Fig. 3c and Supplementary Fig. 3c). Accordingly, also the expression of several pro-inflammatory cytokines, oxidases and genes involved in foam cell formation was augmented (Fig. 3c and Supplementary Fig. 3c). Normalization of these differentially expressed genes to monocyte/macrophage-related markers did not demonstrate significant differences between the two groups of mice (Supplementary Fig. 4). Hence, the distinct transcriptional profile of whole aortic tissue from HFCD-fed Trem1+/+ Apoe−/− mice was mainly reflective of increased monocyte/macrophage accumulation rather than altered gene expression patterns on a per cell level. While these results did not indicate an unequivocal mechanism for a local contribution of TREM-1 to atherosclerotic lesion progression, the data firmly established increased monocyte/macrophage infiltration as a major pro-atherogenic consequence of TREM-1-mediated signalling in HFCD-fed Trem1+/+ Apoe−/− mice.

TREM-1 affects the composition of aortic myeloid cell subsets

Enhanced expression of Trem1 at arterial sites was related to increased monocyte/macrophage accumulation (Fig. 3a,c and Supplementary Fig. 3). However, lesional macrophages are likely composed of heterogeneous populations comprising differentiated macrophage foam cells but also recently recruited monocytes, which could differ in their expression of TREM-1. To gain insight into potential roles of TREM-1-expressing myeloid cell subsets at arterial sites, we aimed to identify the major TREM-1-expressing cell subset in atherosclerotic lesions. In addition, we sought to determine whether TREM-1 could contribute to lesion progression by influencing the composition of plaque-infiltrating monocyte/macrophage populations. We chose a flow cytometry approach to analyse enzymatically digested aortas derived from Trem1+/+Apoe−/− and Trem1−/− Apoe−/− mice at 16 weeks post HFCD feeding. Among single, live- non-autofluorescent cells we pre-gated on CD45+ CD11b+ cells and subsequently excluded MHCII+ CD11c+ cells which represented dendritic cells12,44 (Supplementary Fig. 5a). Within the remaining CD11b+ population we distinguished five myeloid cell subsets based on their expression of Ly6C and MHC class II: 1. Neutrophils (Ly6Cint, MHCII), which were also Ly6G+ (Supplementary Fig. 5b), 2. Ly6Chi monocytes (Ly6Chi, MHCII) 3. Ly6Cint macrophages (Ly6Cint MHCII+) 4. MHCII+ macrophages (Ly6C MHCII+) and 5. MHCII macrophages (Ly6C, MHCII) (Fig. 4a,b). The identity of macrophages was confirmed by staining for CD64 (or F4/80 in some experiments), which was largely absent on neutrophils and expressed at higher levels in macrophages as compared to Ly6Chi monocytes (Fig. 4b and Supplementary Fig. 5c). Importantly, the segregation of myeloid subsets according to their Ly6C and MHC class II expression was adapted from the monocyte waterfall concept of macrophage differentiation45,46, which also considers newly recruited Ly6Chi monocytes and Ly6Cint macrophage differentiation stages. In contrast, a general pre-gating of F4/80+ cells a priori excludes these subsets since Ly6Chi monocytes and Ly6Cint cells unlike MHCII+ and MHCII macrophages are F4/80lo/− (Supplementary Fig. 5c)12. As expected, TREM-1 was expressed on aortic neutrophils, albeit at substantially lower levels compared with peripheral blood neutrophils (Figs 2g and 4c). This likely related to the enzymatic digestion protocol of aortas. Strikingly, however, surface TREM-1 expression was also clearly detectable on Ly6Cint MHCII+ cells as well as on Ly6C MHCII lesional macrophages, whereas Ly6C MHCII+ macrophages did not appear to express substantial levels of TREM-1 (Fig. 4c,d).

Figure 4: TREM-1 influences the composition of aortic myeloid cell subsets.
figure4

(ae) Flow cytometry analysis of aortic wall-infiltrating myeloid cell subsets isolated from individually digested aortas of 16-week HFCD-fed Trem1+/+ Apoe−/− and Trem1−/− Apoe−/− mice. (a) Representative gating strategy for identification of myeloid cell subsets within single, live, non-autofluorescent CD45+, CD11b+ non-dendritic cells (Trem1+/+ Apoe−/−). Identity of neutrophils was confirmed by inclusion of Ly6G in the staining panel. (b) Representative staining panels for expression of the monocyte/macrophage marker CD64 (line) on the indicated cell subsets (filled histograms: matched isotype control-stained cells) (Trem1+/+ Apoe−/−). (c) Representative staining panels for expression of surface TREM-1 (line) on the indicated cell subsets (filled histograms: matched isotype control-stained cells) (Trem1+/+ Apoe−/−). (d) MFI values for TREM-1 surface expression (with subtracted MFI values of matched isotype control-stained cells) on the indicated myeloid cell subsets of Trem1+/+ Apoe−/− mice. Circles represent data for individual mice, lines indicate mean values per group. (e) Relative abundance (% among CD45+ cells) of arterial wall-infiltrating cell subsets in 16-week HFCD-fed Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice. Circles represent data for individual mice from three independent pooled experiments, lines indicate mean values per group. *P<0.05 as determined by the two-tailed t-test. Statistically not significant differences with P>0.05 are not indicated.

We next compared the relative abundance of individual myeloid cell subsets in aortic plaques of HFCD-fed Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice. As anticipated from their reduced aortic lesion size and lower expression of macrophage-associated genes (Figs 1a–c and 3c), aortic plaques of Trem1−/− Apoe−/− mice contained significantly less CD11b+ CD11c cells (Fig. 4e). This difference appeared to be mainly due to a significant reduction in the percentage of Ly6C MHC II macrophages in lesions of Trem1−/− Apoe−/− mice (Fig. 4e). In contrast, deficiency in TREM-1 did not alter the relative abundance of infiltrating neutrophils and Ly6Chi monocytes (Fig. 4e). Taken together, these results indicated that TREM-1 is expressed by aortic wall-infiltrating neutrophils, Ly6Cint MHCII+ as well as Ly6C MHCII macrophages and that the cellular composition in Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice mostly differed in the relative abundance of aortic Ly6C MHCII macrophages.

TREM-1 and dyslipidemic factors interact reciprocally

In aortic lesions of Trem1+/+ Apoe−/− mice, highest MFI values for surface TREM-1 were found on neutrophils, followed by Ly6Cint MHCII+ cells (Fig. 4c,d), which we regarded as monocytes in the process of differentiating to mature macrophages based on the sequential monocyte waterfall concept of intestinal macrophage differentiation45,46. Indeed, in the inflamed colon highest TREM-1 expression can be detected on Ly6Chi effector monocytes followed by their Ly6Cint descendants47. Since peripheral blood Ly6Chi monocytes have been established as precursors for lesional macrophages2,3,8,9, yet in the mouse even under HFCD feeding express little surface TREM-1 (Fig. 2g), we considered the possibility that TREM-1 is upregulated upon transendothelial migration of Ly6Chi monocytes to the subendothelial space. The uptake of oxLDL by infiltrating monocytes represents a key factor in driving macrophage foam cell differentiation and atherogenesis48,49. Indeed, exposure to purified endotoxin-free oxLDL, but also to heat-inactivated dyslipidemic serum derived from HFCD-fed mice (HFCD serum), which contains minimally modified LDL circulating in vivo, significantly upregulated the expression of surface TREM-1 on human primary monocytes (Fig. 5a,b). Moreover, mean TREM-1 MFI values for oxLDL-stimulated cells even exceeded those observed for cells stimulated with lipopolysaccharide (LPS) (Fig. 5b). Considering that oxLDL represented a potential non-microbial factor capable of upregulating TREM-1 (ref. 50, 51), we next addressed whether oxLDL and HFCD serum-derived factors could synergize with TREM-1-mediated signals to amplify production of pro-atherogenic cytokines, analogous to the well-established synergistic effects of TREM-1 with LPS27. Incubation of monocytes with oxLDL or HFCD serum alone did not induce substantial secretion of IL-1α, IL-1β or TNFα, whereas anti-TREM-1 stimulation in the absence of other factors distinctly increased the production of TNFα but not of IL-1 cytokines (Fig. 5c). As anticipated, TREM-1 stimulation synergized with LPS for increased cytokine production. Intriguingly, exposure to the HFCD serum strongly augmented the TREM-1-induced secretion of IL-1α, IL-1β or TNFα while no such effect was observed for oxLDL stimulation (Fig. 5c). This suggested that the minimally modified LDL present in the dyslipidemic HFCD serum rather than in vitro generated, extensively oxidized LDL may substitute for LPS to synergize with TREM-1 stimulation for increased pro-inflammatory cytokine production from monocyte/macrophages.

Figure 5: TREM-1 synergizes with dyslipidemic factors for pro-inflammatory cytokine secretion.
figure5

(ac) Human CD14hi monocytes were FACS-purified from buffy coats obtained from different blood donors. (a) Representative histograms for TREM-1 surface expression (lines; filled histograms represent isotype control stained cells) on human peripheral blood CD14hi monocytes after 20 h of stimulation with the indicated stimuli. (b) MFI values for TREM-1 surface expression after subtraction of MFI values for matched isotype control-stained cells. Bars show mean values of seven independent experiments with error bars indicating the s.d. (c) Production of IL-1α, IL-1β and TNFα by CD14hi monocytes after 20 h of culture with the indicated factors. Symbols show individual values of 6–7 independent experiments and different blood donors. *P<0.05, **P<0.01, ****P<0.0001 as determined by the one-way (b) or two-way (c) ANOVA test. Statistically not significant differences with P>0.05 are not indicated.

TREM-1 enhances foam cell formation in vitro

IL-1 family cytokines have been ascribed a central role in atherogenesis52, however, neither Il1a nor I11b were among the 111 significantly TREM-1-regulated genes identified in the Nanostring analysis (Supplementary Table 2). We therefore considered additional mechanisms that could account for a local TREM-1-mediated lesion progression and evaluated the possibility that TREM-1-mediated signals directly contribute to foam cell differentiation. Because of the difficulty in obtaining sufficient TREM-1-expressing primary murine monocytes and the absence of TREM-1 on peritoneal and BM-derived murine macrophages, we used the human myelomonocytic cell line U937 that was stably transduced with TREM-1 and DAP12 (referred to as U937-TD) by Tessarz et al.53. Incubation of U937-TD in the presence of murine HFCD serum and an isotype control antibody for 48 h resulted in detectable but rather inefficient foam cell formation as assessed by Oil Red O staining (Fig. 6a,b). In contrast, stimulation of U937-TD cells with an agonistic anti-TREM-1 antibody lead to a significant increase of cells exhibiting the characteristic lipid droplets (Fig. 6a,b). The effect was specific to TREM-1-mediated signalling as incubation of U937-TD cells with LPS did not substantially enhance foam cell formation (Fig. 6a,b). Foam cell formation is primarily mediated through uptake of modified LDL through specific receptors49. Crosslinking of TREM-1 on U937-TD in fact potently upregulated expression of CD36 irrespective of the absence or presence of 5% HFCD serum in the medium (Fig. 6c,d). We next reverted to the use of primary human CD14hi monocytes as more representative precursors for foam cells. Although the foam cell formation capacity of in vitro cultured primary monocytes was generally less efficient, stimulation with anti-TREM-1, but not LPS, clearly augmented the lipid droplet content (Fig. 6e,f). Strikingly, TREM-1-mediated activation of human primary monocytes not only increased mRNA expression of CD36 but also of other receptors implicated in lipid uptake such as MSR1 and LDLR (Fig. 6g). Moreover, TREM-1-activated monocytes showed reduced expression of the cholesterol efflux-related genes ABCA1 and ABCG1 and altered mRNA expression of several intracellular cholesterol transport proteins such as NPC1, NPC2 and STARD4 (Fig. 6g), the latter likely reflecting a compensatory response to the increased intracellular lipid content.

Figure 6: TREM-1 promotes foam cell formation of human monocytes in vitro.
figure6

(a,b) TREM-1 and DAP12-expressing U937-TD cells were incubated for 48 h in vitro in the presence of 5% serum from HFCD-fed mice and the indicated stimuli (plate-bound anti-TREM-1, or isotype control antibody +/−30 ng ml−1 LPS). (a) Representative photomicrograph of ORO and DAPI-stained U937-TD cells. Scale bars indicate 100 μm. (b) Quantification of foam cell formation. The ratio of DAPI positive pixels versus ORO positive pixels was calculated using Image J software. Bars represent mean values+s.d. from 10 independent experiments. (c,d) U937-TD cells were incubated for 48 h with the indicated stimuli in the presence or absence of 5% HFCD serum. CD36 surface expression was determined by flow cytometry. (c) Representative histogram overlays showing CD36 surface expression (filled histograms represent isotype control-stained cells) (d) MFI values for CD36 surface expression. Bars show mean values+s.d. from three independent experiments. (eg) CD14hi monocytes were flow-sorted from human blood donors. (e,f) Foam cell formation capacity of human CD14hi monocytes was determined as described for U937-TD cells. (e) Scale bars, 100 μm. (f) Bars show mean values+s.d. from three independent experiments with different blood donors. (g) After 20 h of culture with the indicated stimuli, CD14hi monocytes were harvested for qRT-PCR-based analysis of genes involved in cholesterol metabolism. Symbols show expression levels for n=7 independent experiments with different blood donors. *P<0.05, **P<0.01 as determined by the one-way ANOVA test (bf) and the paired t-test (g). Statistically not significant differences with P>0.05 are not indicated.

Together, these results identified a so far unappreciated direct and potent impact of TREM-1 on foam cell formation in vitro which not only related to increased expression of specific scavenger receptors but was generally associated with an altered expression of genes involved in oxLDL uptake and cellular cholesterol metabolism.

TREM1 is expressed in established human atheromas

Our data so far demonstrated that TREM-1 promotes atherosclerotic lesion progression in an experimental atherosclerosis model in vivo by aggravating monocytosis and monocyte/macrophage infiltration of aortas. However, the in situ expression of TREM-1 in aortic lesions as well as the potent impact of TREM-1 on foam cell generation in vitro suggested that TREM-1-mediated effects indeed contribute to lesion growth locally. Since in a Russian population-based cohort certain polymorphisms in the TREM1 gene associated with a reduced risk for coronary artery disease54, we assessed the potential expression of TREM-1 in human atheromas. To this end, we performed quantitative real-time PCR (qRT-PCR) analyses on RNA isolated from human formalin-fixed paraffin-embedded (FFPE) aortic tissue specimen displaying either only minor alterations or severe atherosclerosis (Fig. 7a). Similar to our findings in control or chow-fed versus HFCD-fed Trem1+/+ Apoe−/− mice (Fig. 3a), TREM1 mRNA was barely expressed in human aortic tissues with minor histopathological alterations (Fig. 7b). In contrast, mRNA levels for TREM-1 and CD68 were significantly upregulated in advanced atheromas, while expression of mRNA for the granulocyte marker CD15 was not substantially increased (Fig. 7b). Hence, analogous to what we observed in murine atherosclerotic lesions, lesional macrophages appeared to represent a major population of TREM-1-expressing cells also in human atheromas.

Figure 7: TREM1 is expressed in human atheromas.
figure7

(a) Representative hematoxylin and eosin stainings of sections from human aortas with either minor alterations (left) (n=10) or severe atherosclerosis (right) (n=11). Scale bars, 200 μm. (b) RNA was isolated from tissue rolls derived from FFPE human aortic specimens with either only minor alterations (diamonds) or severe atherosclerosis (squares). Expression of the indicated genes was assessed by qRT-PCR. Symbols represent values for individual patients, lines indicate mean expression. **P<0.01 as determined by the two-tailed t-test.

Collectively, these results from human atherosclerosis patients and our findings from an experimental model of atherogenesis, where deficiency in TREM-1 conferred significant protection, establish a major pathogenic role for TREM-1 in atherosclerosis. We show that factors contained in dyslipidemic serum are sufficient to modulate expression of TREM-1 and that TREM-1 in turn can synergize with dyslipidemia for augmented inflammation and foam cell formation. Based on the distinct impact of TREM-1 on hypercholesterolemia-induced monopoiesis and its highly upregulated expression within aortic lesions, we propose TREM-1 as an attractive myeloid cell-specific target for attenuating the chronic inflammatory process in atherosclerosis.

Discussion

The innate immune response-amplifying receptor TREM-1 was initially recognized for its central involvement in acute microbial driven diseases. However, emerging evidence also strongly implicates a role for TREM-1 in non-infectious inflammatory disorders, including, rheumatoid arthritis32, psoriasis33, acute pancreatitis34, obstructive nephropathy35 and pulmonary disease36, hepatocellular carcinoma29, lung55 and colorectal cancer37, as well as cardiac allograft rejection38 and myocardial infarction39.

Here, we provide evidence that TREM-1 is expressed in murine and human atherosclerotic lesions in situ and that TREM-1 potently exacerbated diet-induced atherogenesis. The pro-atherogenic impact of TREM-1 was not related to effects on systemic lipid or glucose metabolism. In contrast, our study identifies two previously unanticipated roles of TREM-1 in regulating myelopoiesis and cellular cholesterol metabolism. In particular, TREM-1 aggravated the dyslipidemia-induced peripheral blood monocytosis by promoting skewed monocyte differentiation from BM haematopoietic stem and progenitor cells. Numerous studies have established the link between gradually developing monocytosis and time-dependent lesion progression in atherosclerosis. The effects of TREM-1 on the peripheral monocyte pool only became significant upon prolonged HFCD feeding. In line with this observation, we did not note differences in the extent of early atherosclerotic lesions in Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice at 4 weeks post HFCD or in mice that were on chow diet only (Supplementary Fig. 1a–d). Moreover, in contrast to the significant impact of TREM-1 on the extent of atherosclerotic surface area in the aorta at 16 weeks post HFCD, this effect was not revealed by the analysis of the cross-sectional lesion area at the aortic root. We propose that the most likely explanation for this seeming discrepancy is in fact the mechanism by which TREM-1 influences atherogenesis. In particular, by exacerbating HFCD-induced monocytosis TREM-1 will likely enhance the progression of already established lesions. Since lesions at the aortic root are usually the first to develop and represent the most advanced lesions throughout the aortic tree, at 16 weeks post HFCD these lesions might have been too advanced to still reflect the effects of TREM-1 on lesion development.

Under homeostatic conditions and on an ApoE-sufficient (Apoe+/+) background, deficiency in TREM-1 has no appreciable impact on haematopoietic processes29,31. Here, we confirm and extend these data by showing that colony-forming capacity and colony subtype differentiation were comparable for Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice under chow diet feeding. Strikingly, the aggravated monocytosis in HFCD-fed Trem1+/+ Apoe−/− mice was not related to an increased expansion of haematopoietic stem or progenitor cells. Instead, we found that HFCD-feeding of Trem1+/+Apoe−/− mice significantly skewed myeloid differentiation in lin BM cells towards increased monocyte production. Since GMP express distinct levels of surface TREM-1 (Supplementary Fig. 2c)31, this suggested a potential cell-autonomous fashion by which TREM-1 could regulate monocytic over granulocytic lineage specification. However, unlike what was observed for peripheral blood myeloid cells, HFCD feeding did not further increase surface TREM-1 expression on GMP (Supplementary Fig. 2c). Moreover, although ex vivo isolated GMP from Trem1+/+ Apoe−/− mice exhibited increased mRNA levels for Irf8, a key transcription factor for monocytic lineage differentiation42, stimulation of these GMP with plate-bound anti-TREM-1 in the presence or absence of HFCD serum was not sufficient to augment monocyte differentiation in vitro (Supplementary Fig. 2d,e). Whereas TREM-1 has been demonstrated a potent amplifier of cytokines such as M-CSF, GM-CSF, IL-6 and CCL2 (ref. 56), expression levels of these cytokines in the serum or bone flushes from HFCD-fed Trem1+/+ Apoe−/− mice were generally close to the detection limit (Supplementary Fig. 6a,b). Hence, the question whether the HFCD-induced effect of TREM-1 on monopoiesis may be cell-intrinsic or extrinsic could not be conclusively addressed within the scope of the present study. Clearly, the complex contribution of TREM-1 to monopoiesis needs to be deciphered in further investigations that can take into account the multifarious dyslipidemia-induced changes in dietary PAMPs and cytokines in vivo.

While our findings show that TREM-1 can contribute to atherosclerosis through regulation of the BM and peripheral monocyte pool, resulting in increased monocyte/macrophage accumulation and lesion progression, our data also suggest that TREM-1 may promote atherosclerotic lesion progression in situ. In parallel with the increased abundance of monocyte/macrophage foam cell-associated transcripts, expression of Trem1 was highly upregulated in the aortic arch of 16 week HFCD-fed Trem1+/+ Apoe−/− mice. TREM-1 surface expression on lesion-infiltrating cells could further be confirmed by flow cytometry. Moreover, major differences in the composition of CD11b+ cells in digested aortas of Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice could be attributed to Ly6C macrophages but not to Ly6Chi monocytes or neutrophils, arguing against a primary defect in monocyte recruitment in Trem1−/− Apoe−/− mice.

The presence of two distinct Ly6C CD64+ MHCII+ versus Ly6C CD64+ MHCII aortic macrophage populations is intriguing, in particular, as MHCII, but not MHCII+, macrophages expressed TREM-1 and were more abundant in aortas of Trem1+/+ Apoe−/− mice. To date, relatively few studies have performed detailed flow cytometry characterizations of aortic macrophage subsets. The existence of CD11b+ F4/80+ MHCIIlo macrophages has been described for the steady-state aorta44 and for the heart where multiple embryonic and adult macrophage subsets have been identified with different signatures for MHCIIhi versus MHCIIlo macrophages57. A recent study has suggested a similarly complex picture and multilayered origin for resident arterial macrophages12. As under homeostatic conditions, arterial macrophage populations appear to be sustained largely by self-renewal12, yet recruitment of Ly6Chi monocytes is critically associated with foam cell formation in atherosclerosis2,3,8,9, it is difficult to link the MHCII+ and MHCII macrophage populations identified in our study with the macrophage subsets described by Ensan et al.12. Our attempts to further characterize aortic macrophages in Trem1+/+ Apoe−/− versus Trem1−/− Apoe−/− mice were hampered by the very low cell yield, which precluded robust gene expression analysis in sorted cell subsets. Hence, we can currently only speculate about the origin and functional profile of the aortic MHCII TREM-1+ versus MHCII+ TREM-1 macrophages. Based on findings from experimental colitis models, where the expression pattern of TREM-1 has already been characterized, TREM-1 is expressed by infiltrating Ly6Chi effector monocytes and their Ly6Clo descendants but not by resident Ly6C MHCII+ macrophages in the inflamed colon47. Moreover, during intestinal inflammation, regular differentiation of Ly6Chi monocytes to Ly6C MHCII+ macrophages is arrested at the intermediary stage of Ly6Cint MHCII+ macrophages with pro-inflammatory properties45,46,47. In aortas of HFCD-fed Trem1+/+ Apoe−/− mice, highest TREM-1 MFI values among infiltrating Ly6G CD11b+ cells were observed in Ly6Cint MHCII+ macrophages. While it remains to be determined whether Ly6Cint MHCII+ cells give rise to Ly6C MHCII TREM-1+ macrophages in vivo, our preliminary data indicate a distinct down-modulation of HLA-DR after differentiation of human monocytes in the presence of M-CSF and agonistic anti-TREM-1 stimulation in vitro (Supplementary Fig. 7a,b). At least an initial Ly6Chi monocytic origin of Ly6Cint MHCII+ TREM-1+ macrophages appears conceivable also for the aorta2,3,8. In mice with experimental colitis, TREM-1 is barely expressed on peripheral blood Ly6Chi monocytes47, and although in HFCD-fed Trem1+/+ Apoe−/− mice TREM-1 expression was upregulated on all peripheral blood cell subsets, TREM-1 surface expression on Ly6Chi monocytes remained low. Hence, TREM-1 must become upregulated on infiltrating monocytes following transmigration to inflamed tissues. Whereas in the colitic intestinal mucosa, TREM-1 is likely induced by microbial factors27,58,59, in the subendothelial space of aortic vessels a role for non-microbial DAMPs appears more probable as we observed potent upregulation of TREM-1 under dyslipidemic conditions in vivo and upon stimulation of primary monocytes with HFCD serum or purified oxLDL in vitro. Besides oxLDL or dietary DAMPs also GM-CSF secreted by endothelial cells could mediate local induction of TREM-1 (refs 15, 43).

The factors that may engage and activate TREM-1 in aortic lesions are more difficult to grasp, in particular, as TREM-1 ligands remain incompletely defined. In contrast to other TREM family members, TREM-1 does not appear to participate in recognition of lipids60,61. Nonetheless, the recently described capacity of the PAMP molecule HMGB1 (refs 28, 29) and multimerized PGLYRP1 (ref. 30) to associate with and stimulate TREM-1 provides a possible scenario for activation of lesion-associated myeloid cells in the context of non-infectious inflammation. PGLYRP1 is expressed by neutrophils which seem abundant enough in murine lesions. Moreover, HMGB1 is released from macrophage foam cells that accumulate in advanced atheromas18,19. An HMGB1-mediated local triggering of TREM-1 in concert with the progressive monocytosis in Trem1+/+ Apoe−/− mice could provide an explanation for the impact of TREM-1 on lateral lesion growth rather than early lesion initiation. It is also tempting to speculate that TREM-1, possibly in association with other receptors such as RAGE, may be involved in the recently reported priming of lesional macrophages by neutrophil extracellular traps62.

A striking finding of the present study was the potent effect of TREM-1 on foam cell formation in vitro. Although innate immune signalling pathways have previously been acknowledged to antagonize compensatory cholesterol efflux mechanisms63, the direct impact of TREM-1 on foam cell conversion was unanticipated, considering that TREM-1 on its own otherwise has poor stimulatory capacity25. TREM-1-mediated stimulation of U937-TD cells but also of primary human monocytes associated with a pronounced upregulation of the oxLDL scavenger receptor CD36. The TREM-1-induced expression of CD36 is consistent with the augmented expression of PPARγ as a TREM-1-regulated gene56 and the role of PPARγ as key regulator of CD36 expression and foam cell formation64,65. It is further noteworthy that in the converse expression of molecules on mouse and human monocyte subsets TREM-1 segregates with PPARγ and CD36 and that both TREM-1 and CD36 are upregulated during steady-state differentiation of Ly6Chi to Ly6Clo monocytes66,67. Moreover, CD36 has been ascribed a central role in facilitating TLR4/6 assembly leading to increased pro-inflammatory cytokine and ROS production24. Notably, in primary human monocytes TREM-1 not only augmented mRNA expression of PPARG and CD36 but also of other receptors implicated in lipid uptake such as MSR1 and LDLR. Whether the clear impact of TREM-1 on several other genes involved in intracellular cholesterol metabolism represents a direct effect of TREM-1 or compensatory response to the increased lipid content remains to be determined.

In support of our hypothesis that TREM-1 may promote atherosclerotic lesion progression locally, we found highly upregulated expression of mRNA for TREM-1 also in human aortic tissue specimens displaying severe atherosclerosis. Thus, it is tempting to speculate that the proposed association of distinct TREM1 polymorphisms with coronary artery disease in a Russian population may be causal54. In the Swiss population-based CoLaus study68, an association of the TREM1 single-nucleotide polymorphism (SNP) rs2234237 with self-reported cardiovascular disease could not be established. Nonetheless, in a substudy of CoLaus, participants with the TT genotype had significantly lower intima-media thickness (IMT) maximal values for the left carotid artery compared with AA or AT genotype carriers, with a significant additive effect (P<0.006 for trend); a similar, albeit non-significant, trend was found for the right carotid artery (Supplementary Table 3). Therefore, the potential significance of TREM-1 for human cardiovascular disease clearly merits more attention.

In summary, while the precise mechanisms behind TREM-1-mediated lesion progression remain to be further determined, we propose a multiphasic model for TREM-1 in atherogenesis (Fig. 8): In the periphery, TREM-1-mediated signalling skews myelopoiesis towards increased production of monocytes. In atherosclerotic lesions, TREM-1 participates in a positive feedback-loop with oxLDL and CD36, thus contributing to increased lipid uptake and foam cell formation. This process may additionally be boosted by multiple adverse effects of TREM-1 on cellular lipid uptake, transport and efflux mechanisms as well as by TREM-1-amplified lipid peroxidation and pro-inflammatory cytokine production in concert with TLR4/6. Our findings thus identify TREM-1 as a key innate immune receptor participating in the chronic inflammatory process in atherosclerosis.

Figure 8: Model for multilayered pathogenic roles of TREM-1 in diet-induced atherogenesis.
figure8

(1) TREM-1 skews myeloid differentiation towards increased monocyte output by yet undetermined direct or indirect mechanisms, likely acting together with microbial or dietary PAMPs which become systemically available following HFCD feeding. (2) These factors may also be involved on the upregulation of TREM-1 on peripheral blood myeloid cell subsets. (3) TREM-1 is further upregulated on Ly6Chi monocytes following their transmigration to the intima and exposure to oxLDL. (4) Activation of monocytes via TREM-1 may be mediated by neutrophil-derived PGLYRP1 (not depicted) or by HMGB1 released by activated or necrotic macrophages. (5) TREM-1-mediated activation promotes the expression of scavenger receptors CD36, MSR1 and the LDLR and thereby increases lipid uptake. TREM-1 further promotes foam cell formation by interfering with intracellular cholesterol transport and efflux mechanisms (not depicted). (6) CD36 facilitates TLR4/6 assembly and NLRP3 activation (not depicted) leading to increased pro-inflammatory cytokine and ROS production, which may contribute to additional lipid peroxidation. Concurring TREM-1-mediated activation could further amplify these pro-inflammatory processes. (7) Increased uptake of oxLDL leads to the differentiation of Ly6Chi monocytes to Ly6C macrophage foam cells through a Ly6Cint TREM-1+ MHCII+ intermediary stage.

Methods

Mice

Trem1−/− mice (C57BL/6) were generated and characterized in our laboratory31. Apoe−/− (B6.129P2-Apoetm1Unc/J) mice (C57BL/6), were purchased from Charles River Laboratories (USA). Trem1−/− mice were backcrossed with Apoe−/− mice to generate Trem1+/+ Apoe−/− and Trem1−/− Apoe−/− mice. Mice were maintained in isolated ventilated cages under specific pathogen-free conditions. Fourteen days before and every 14 days throughout feeding experiments, bedding between Trem1+/+ Apoe−/− and Trem1−/− Apoe−/− mice was exchanged to adjust for potential differences in microbiota composition. All experimental procedures were approved by the Veterinary Office of the Canton of Bern (license no: 111/14) and performed in compliance with Swiss laws for animal protection.

Induction of experimental atherosclerosis

Six- to eight-week-old female Trem1+/+ Apoe−/− and Trem1−/− Apoe−/− mice were either further maintained on a regular chow diet or placed on a high-fat, high cholesterol diet (HFCD) (D12007C, Research Diet Inc., New Brunswick, NJ USA) for 4-16 weeks as indicated.

Determination of atherosclerotic lesion size

Following euthanasia by CO2-exposure, mice were perfused for 5 min with ice-cold PBS and subsequently with 4% buffered paraformaldehyde (PFA) containing 2 mM EDTA and 2% glucose. Whole aortas including the initial parts of the brachiocephalic artery, the left common carotid artery, the left subclavian artery the right and left iliac arteries were carefully freed from all connective tissue and fat, were cut open longitudinally and pinned ‘en face’ on petri dishes coated with activated carbon blackened paraffin. Atherosclerotic lesions were visualized by staining in 0.3% Oil-Red-O (Sigma, Switzerland) staining solution in 60% isopropanol. The aortic surfaces were photographed (D90, Nikon) and the lesion sizes were measured using ImageJ software (version 2.0.0-rc-43/1.51c). The extent of atherosclerosis was determined by calculating the ratio of the lesion-covered surface area compared to the total surface area of the aorta.

To analyse cross-sections of the aortic root, hearts were cut in half and the upper part was embedded in O.C.T. (TissueTek, Sakura Finetek Europe, Leiden, NL). Cross-sections (6 μm thick) were prepared from the frozen hearts on a Leica CM1950 cryostat (Leica Biosystems Germany). Ten cross-sections of the aortic root were collected every 36 μm, stained with ORO and counterstained with Mayer’s hematoxylin staining solution. Sections were analysed on a Zeiss Axiophot 2 (Zeiss, Germany) and the lesion area was calculated using ImageJ software in a blinded manner.

Analysis of serum lipid and soluble TREM-1 (sTREM-1)

Serum was obtained from whole blood collected from the ‘vena cava’ of o/n fasted mice. Total cholesterol, HDL and LDL cholesterol were determined by the Department of Clinical Chemistry of the University of Bern on a cobas 8000 clinical chemistry analyser (Roche diagnostics, Switzerland). sTREM-1 was determined by ELISA (R&D Systems, USA).

Nanostring gene expression profiling of aortic RNA

Aortas were prepared as described above but without PFA perfusion. Aortas were cut in four pieces consisting of the aortic arch, descending thoracic aorta, abdominal aorta and the iliac bifurcation and stored in RNAlater (Life Technologies, USA). For RNA isolation, aortic pieces were transferred into TRI Reagent (Sigma-Aldrich, Switzerland) and tissues were homogenized with a Qiashredder (Qiagen) 2 × at 20 Hz for 5 min. RNA was then isolated according to the manufacturer's protocol. For mRNA expression profiling, the nCounter Mouse Immunology panel (Nanostring technologies, Seattle, USA) was complemented with additional 30 genes of interest (Supplementary Table 1). Expression levels of mRNA for TREM-1 and other TREM family members were verified by SYBR-green (Roche, Switzerland) based qRT-PCR analysis using QuantiTect primer assays (Qiagen) and normalization to Gapdh (Mm_Gapdh, QT01658692; Mm_Trem1, QT00153979; Mm_Cd68, QT00254051; Mm_Ly6g, QT00529655).

Isolation of cells from murine tissues

Peripheral blood was collected from the ‘vena cava’ post mortem or from the lateral tail vein from live animals during HFCD feeding. Single-cell suspensions from spleen were prepared by the enzymatic digestion protocol used for aortic cell preparation as described below. For BM cells, tibiae and femurs were placed in RPMI 1640 medium supplemented with 10% FCS and flushed with a 26 GA 3/8 needle. Peripheral blood, spleen and BM cells were erythrocyte-depleted with Tris-buffered ammonium chloride. For preparation of aortic single-cell suspensions, aortas were carefully dissected and freed from connective tissue. Aortas were incubated in HEPES-buffered saline containing 5% horse serum as well as collagenase I (1,350 U ml−1, Sigma), Collagenase XI (375 U ml−1, Sigma), Hyaluronidase type I-s (180 U ml−1, Sigma) and DNase I (180 U ml−1, Roche) for 100 min at 37 °C with magnetic stirring. Digested aortas were filtered through 45 μM cell strainers (Falcon Technologies, BD) to obtain single-cell suspensions.

Flow cytometry characterization of murine cell subsets

Peripheral blood and aortic single-cell suspensions were Fc-blocked and stained with the following monoclonal antibodies (mAbs) (Biolegend, San Diego, USA, unless indicated otherwise): anti-CD45-Pacific Blue (30-F11; 0.25 μg ml−1), anti-CD11b-PE-Cy7 (M1/70; 0.5 μg ml−1), anti-MHC class II-APC-Cy7 (M5/114.15.2; 0.067 μg ml−1), anti-CD11c-Alexa Fluor 700 (N418; 2.5 μg ml−1), anti-Ly6C-FITC (AL-21; 0.5 μg ml−1), anti-F4/80-PE-Cy7 (BM8, 0.5 μg ml−1) (BD Pharmingen, USA), anti-Ly6G-PerCP-Cy5.5 (1A8; 0.2 μg ml−1), anti-CD64-PE (X54-5/7.1; 2 μg ml−1), anti-TREM-1-eFluor 660 (TR3MBL1; 0.2 μg ml−1) (eBioscience, USA). Following matched fluorochrome labelled isotype control antibodies were included: for CD11c: armenian hamster Ig (HTK888); for CD64: mouse IgG1(MOPC-21) (BD Pharmingen); for TREM-1: rat IgG2a (eBR2a) (eBioscience). BM cells were lineage-depleted with MACS (Miltenyi Biotech) using anti-CD19-biotin (6D5; 1.67 μg ml−1), anti-CD3e-biotin (145-2C11; 1.67 μg ml−1), anti-Gr1-biotin (RB6-8C5; 1.67 μg ml−1) anti-Ter119 (Ter119; 1.67 μg ml−1) (Biolegend) and anti-biotin Microbeads (Miltenyi Biotec). Lineage-depleted cells were stained for HSC and myeloid progenitors with anti-CD127-PE (SB/199; 2 μg ml−1), anti-CD117-APC-Cy7 (2B8; 0.67 μg ml−1), anti-CD16/32-PE-Cy7 (93; 0.5 μg ml−1) (Biolegend) and anti-Ly-6A/E (Sca-1)-PerCP-Cy5.5 (D7; 0.33 μg ml−1), anti-CD34-eFluor450 (RAM34; 2 μg ml−1) (eBioscience). For all cell acquisitions, live-dead exclusion was performed using DAPI (Sigma; 0.5 μg ml−1) or LIVE/DEAD fixable blue dead cell stain kit (Thermo Fisher Scientific, USA). Cells were acquired on a LSRII (BD Biosciences, USA) and flow cytometry data were analysed using FlowJo version 9.9 × or version 10.1 × .

Myeloid colony-forming unit assays

A total of 5 × 103 lin BM cells were cultured in MethoCult base medium (STEMCELL Technologies, Grenoble, France) supplemented with 15% FCS, 20% BIT (50 mg ml−1 BSA in Iscove's modified Dulbecco's medium, 1.44 U ml−1 rh-insulin (Actrapid, Novo Nordisk, Denmark), and 250 ng ml−1 human Holo Transferrin [ProSpec, USA]), 100 μM 2-β-mercaptoethanol, 100 U ml−1 penicillin, 100 μg ml−1 streptomycin, 2 mM L-glutamine, and a cytokine mix of 50 ng ml−1 rm-SCF, 10 ng ml−1 rm-IL-3, 10 ng ml−1 rh-IL-6, and 50 ng ml−1 rm-Flt3-ligand (all from ProSpec, USA). Colonies were enumerated after 7 days of culture. Colony subtypes were determined by inverted light microscopy and by Pappenheim staining of individually plucked colonies.

Analysis of human peripheral blood CD14hi monocytes

Buffy coats were obtained from the local blood donation center. PBMCs were purified by Ficoll-Paque PLUS gradient centrifugation (GE Healthcare, UK) and stained for FACS purification with anti-human CD14-Alexa Fluor 488 (HCD14; 0.4 μg ml−1) and CD16-Pacific Blue (3G8; 0.1 μg ml−1) (Biolegend). Sorted CD14hi monocytes were cultured at 100,000 cells per well in 96-well U-bottom plates pre-coated with 10 μg ml−1 agonistic anti-TREM-1 antibody (MAB1278) (R&D Systems) or an isoype control antibody (MOPC21) (Biolegend). Where indicated, the culture medium (RPMI 1640 with 10% FCS) was supplemented with either 30 ng ml−1 LPS (Sigma), 50 μg ml−1 endotoxin-free oxLDL (Biomedical Technologies, Italy) or with 5% heat-inactivated murine serum from 16-week HFCD-fed Trem1+/+ Apoe−/− mice. Following 20 h in vitro culture, supernatants were harvested and used for TNFα, IL-1α and IL-1β ELISAs (Biolegend) according to the manufacturer's protocols. In some experiments, monocytes were harvested into TRI Reagent for RNA isolation and qRT-PCR of cholesterol-metabolism associated genes using QuantiTect primer assays (Qiagen). (Hs_CD36: QT00020181, Hs_MSR1: QT00064141, Hs_LDLR: QT00045864, Hs_ABCA1: QT00064869, Hs_ABCG1: QT00021035, Hs_PPRG: QT00029841, Hs_NPC1: QT00066465, Hs_NPC2: QT00064904, Hs_STARD4: QT00015925, Hs_LIPA: QT00021679, Hs_GAPDH: QT00079247). For flow cytometry, monocytes were detached by incubation with Accutase (Innovative Cell Technologies, USA) and stained with anti-human TREM-1-APC (TREM-26; 0.25 μg ml−1) or a matched isotype control antibody (MOPC-173) (Biolegend). Foam cell formation capacity of human monocytes was analysed after 48 h of culture as described below for U937-TD cells.

Culture of U937-TD cells and foam cell formation in vitro

U937 myelomonocytic cells stably transduced with human TREM-1 and DAP12 (U937-TD) were generated by Tessarz et al.53. U937-TD cells were cultured in RPMI 1640 supplemented with 10% FCS. For foam cell formation assays and analysis of CD36 surface expression, U937-TD cells were cultured at 75,000 cells per well in 96-well U-bottom plates pre-coated with 10 μg ml−1 agonistic anti-TREM-1 antibody (MAB1278) or an isotype control antibody (MOPC21) in the presence or absence of 30 ng ml−1 LPS (Sigma) or 5% heat-inactivated serum obtained from 16-week HFCD-fed Trem1+/+ Apoe−/− mice. After 48 h of culture, cells were gently detached by Accutase (Innovative Cell Technologies) and stained with anti-human CD36-APC (5–271; 0.125 μg ml−1) (Biolegend) for flow cytometry. Alternatively, 100,000 cells per 100 μl were cytospun for 1 min at 800 r.p.m. onto Superfrost Plus microscope slides (Thermo Scientific). After fixation in 4% PFA in PBS, slides were stained with 0.3% Oil-Red-O staining solution in 60% isopropanol for 30 min, washed with PBS and counterstained with DAPI (Sigma; 0.5 μg ml−1). Images were acquired on a Olympus IX81 confocal microscope at 200 × magnification. The ratio ORO:DAPI was assessed by calculating the respective total pixels with ImageJ software.

Human aortic tissue specimens

Human FFPE aortic tissue specimens were collected at the Institute of Pathology, University of Bern between 2011–2013 with the written consent of patients and the approval by the Ethics Committee Bern, Switzerland. Suitable specimens were selected by an expert pathologist (Y.B.) and based on histological criteria from the analysis of H&E stained tissue sections categorized into either specimens with minor alterations or with severe atherosclerotic plaques. RNA from five 10 μm thick FFPE tissue roles was purified using a column-based approach described by Oberli et al.69. SYBR-green (Roche) based qRT-PCR was performed using QuantiTect primer assays (Qiagen) (Hs_TREM1: QT00046284, Hs_CD68: QT00037184, Hs_FUT4(CD15): QT00223657).

CoLaus substudy and intima-media thickness (IMT) measurements

Clinical characteristics of the CoLaus68 substudy participants according to the TREM1 SNP rs2234237 genotype are provided in Supplementary Table 4. IMT was assessed using B-mode high resolution imaging of the carotid arteries. IMT values are expressed in mm.

Statistical analyses

All data except for Nanostring data and IMT data were analysed using Prism software version 5.0f. Statistical tests were used as indicated in the figure legends. In general, the two-tailed Mann–Whitney t-test was performed to compare two groups. One-way analysis of variance (ANOVA) test with Dunn's multiple comparison test was used to compare three or more groups with each other. Two-way ANOVA test with Bonferroni correction was used to compare multiple data groups with two independent variables. For analysis of the Nanostring data, significant differences in gene expression were calculated between the wild-type and knock-out groups of each age-diet group. Gene expression values were first log-transformed. The Bioconductor limma package was used to perform a moderated t-test on all genes70. Principal component analysis was done in R and the results were visualized with the ggplot2 package71.

For IMT, between-group comparisons were performed using one-way ANOVA and the results were expressed as mean±s.d. Multivariable analysis was performed using ANOVA adjusting for gender, smoking status (never, former, current), age (continuous) and body mass index (continuous) and the results were expressed as adjusted mean±s.e. Genetic effect was assessed supposing an additive effect and applying the qtlsnp procedure of Stata. Statistical analysis was conducted using Stata version 13.1 (Stata Corp).

Study approval

Patients and blood donors gave written informed consent. Analyses of human formalin-fixed paraffin-embedded tissue specimens was approved by the Ethics Committee Bern, Switzerland.

Data availability

All relevant data that support the findings of this study, including the full Nanostring gene expression profiling data, are available from the corresponding authors on request.

Additional information

How to cite this article: Zysset, D. et al. TREM-1 links dyslipidemia to inflammation and lipid deposition in atherosclerosis. Nat. Commun. 7, 13151 doi: 10.1038/ncomms13151 (2016).

References

  1. 1

    Shalhoub, J., Falck-Hansen, M. A., Davies, A. H. & Monaco, C. Innate immunity and monocyte-macrophage activation in atherosclerosis. J. Inflamm. 8, 9 (2011).

    CAS  Article  Google Scholar 

  2. 2

    Swirski, F. K. et al. Ly-6Chi monocytes dominate hypercholesterolemia-associated monocytosis and give rise to macrophages in atheromata. J. Clin. Invest. 117, 195–205 (2007).

    CAS  Article  Google Scholar 

  3. 3

    Tacke, F. et al. Monocyte subsets differentially employ CCR2, CCR5, and CX3CR1 to accumulate within atherosclerotic plaques. J. Clin. Invest. 117, 185–194 (2007).

    CAS  Article  Google Scholar 

  4. 4

    Soehnlein, O. & Swirski, F. K. Hypercholesterolemia links hematopoiesis with atherosclerosis. Trends Endocrinol. Metab. 24, 129–136 (2013).

    CAS  Article  Google Scholar 

  5. 5

    Hansson, G. K. & Hermansson, A. The immune system in atherosclerosis. Nat. Immunol. 12, 204–212 (2011).

    CAS  Article  Google Scholar 

  6. 6

    Moore, K. J. & Tabas, I. Macrophages in the pathogenesis of atherosclerosis. Cell 145, 341–355 (2011).

    CAS  Article  Google Scholar 

  7. 7

    Libby, P., Lichtman, A. H. & Hansson, G. K. Immune effector mechanisms implicated in atherosclerosis: from mice to humans. Immunity 38, 1092–1104 (2013).

    CAS  Article  Google Scholar 

  8. 8

    Robbins, C. S. et al. Extramedullary hematopoiesis generates Ly-6C(high) monocytes that infiltrate atherosclerotic lesions. Circulation 125, 364–374 (2012).

    Article  Google Scholar 

  9. 9

    Soehnlein, O. et al. Distinct functions of chemokine receptor axes in the atherogenic mobilization and recruitment of classical monocytes. EMBO Mol. Med. 5, 471–481 (2013).

    CAS  Article  Google Scholar 

  10. 10

    Ley, K., Miller, Y. I. & Hedrick, C. C. Monocyte and macrophage dynamics during atherogenesis. Arterioscler. Thromb. Vasc. Biol. 31, 1506–1516 (2011).

    CAS  Article  Google Scholar 

  11. 11

    Colin, S., Chinetti-Gbaguidi, G. & Staels, B. Macrophage phenotypes in atherosclerosis. Immunol. Rev. 262, 153–166 (2014).

    CAS  Article  Google Scholar 

  12. 12

    Ensan, S. et al. Self-renewing resident arterial macrophages arise from embryonic CX3CR1+ precursors and circulating monocytes immediately after birth. Nat. Immunol. 17, 159–168 (2015).

    Article  Google Scholar 

  13. 13

    Robbins, C. S. et al. Local proliferation dominates lesional macrophage accumulation in atherosclerosis. Nat. Med. 19, 1166–1172 (2013).

    CAS  Article  Google Scholar 

  14. 14

    Michelsen, K. S. et al. Lack of Toll-like receptor 4 or myeloid differentiation factor 88 reduces atherosclerosis and alters plaque phenotype in mice deficient in apolipoprotein E. Proc. Natl Acad. Sci. USA 101, 10679–10684 (2004).

    ADS  CAS  Article  Google Scholar 

  15. 15

    Yu, M. et al. MyD88-dependent interplay between myeloid and endothelial cells in the initiation and progression of obesity-associated inflammatory diseases. J. Exp. Med. 211, 887–907 (2014).

    CAS  Article  Google Scholar 

  16. 16

    Stepankova, R. et al. Absence of microbiota (germ-free conditions) accelerates the atherosclerosis in ApoE-deficient mice fed standard low cholesterol diet. JAT 17, 796–804 (2010).

    CAS  Article  Google Scholar 

  17. 17

    Shi, H. et al. TLR4 links innate immunity and fatty acid–induced insulin resistance. J. Clin. Invest. 116, 3015–3025 (2006).

    CAS  Article  Google Scholar 

  18. 18

    Kalinina, N. et al. Increased expression of the DNA-binding cytokine HMGB1 in human atherosclerotic lesions: role of activated macrophages and cytokines. Arterioscler. Thromb. Vasc. Biol. 24, 2320–2325 (2004).

    CAS  Article  Google Scholar 

  19. 19

    Kanellakis, P. et al. High-mobility group box protein 1 neutralization reduces development of diet-induced atherosclerosis in apolipoprotein E-deficient mice. Arterioscler. Thromb. Vasc. Biol. 31, 313–319 (2011).

    CAS  Article  Google Scholar 

  20. 20

    Duewell, P. et al. NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals. Nature 464, 1357–1361 (2010).

    ADS  CAS  Article  Google Scholar 

  21. 21

    Freigang, S. et al. Nrf2 is essential for cholesterol crystal-induced inflammasome activation and exacerbation of atherosclerosis. Eur. J. Immunol. 41, 2040–2051 (2011).

    CAS  Article  Google Scholar 

  22. 22

    Freigang, S. et al. acid-induced mitochondrial uncoupling elicits inflammasome-independent IL-1α and sterile vascular inflammation in atherosclerosis. Nat. Immunol. 14, 1045–1053 (2013).

    CAS  Article  Google Scholar 

  23. 23

    Sheedy, F. J. et al. CD36 coordinates NLRP3 inflammasome activation by facilitating intracellular nucleation of soluble ligands into particulate ligands in sterile inflammation. Nat. Immunol. 14, 812–820 (2013).

    CAS  Article  Google Scholar 

  24. 24

    Stewart, C. R. et al. CD36 ligands promote sterile inflammation through assembly of a Toll-like receptor 4 and 6 heterodimer. Nat. Immunol. 11, 155–161 (2009).

    Article  Google Scholar 

  25. 25

    Klesney-Tait, J., Turnbull, I. R. & Colonna, M. The TREM receptor family and signal integration. Nat. Immunol. 7, 1266–1273 (2006).

    CAS  Article  Google Scholar 

  26. 26

    Arts, R. J. W., Joosten, L. A. B., van der Meer, J. W. M. & Netea, M. G. TREM-1: intracellular signaling pathways and interaction with pattern recognition receptors. J. Leukoc. Biol. 93, 209–215 (2013).

    CAS  Article  Google Scholar 

  27. 27

    Bouchon, A., Facchetti, F., Weigand, M. A. & Colonna, M. TREM-1 amplifies inflammation and is a crucial mediator of septic shock. Nature 410, 1103–1107 (2001).

    ADS  CAS  Article  Google Scholar 

  28. 28

    Mezayen, E.R. et al. Endogenous signals released from necrotic cells augment inflammatory responses to bacterial endotoxin. Immunol. Lett. 111, 36–44 (2007).

    Article  Google Scholar 

  29. 29

    Wu, J. et al. The proinflammatory myeloid cell receptor TREM-1 controls Kupffer cell activation and development of hepatocellular carcinoma. Cancer Res. 72, 3977–3986 (2012).

    CAS  Article  Google Scholar 

  30. 30

    Read, C. B. et al. Cutting edge: identification of neutrophil PGLYRP1 as a ligand for TREM-1. J. Immunol. 194, 1417–1421 (2015).

    CAS  Article  Google Scholar 

  31. 31

    Weber, B. et al. TREM-1 deficiency can attenuate disease severity without affecting pathogen clearance. PLoS Pathog. 10, e1003900 (2014).

    Article  Google Scholar 

  32. 32

    Collins, C. E. et al. Elevated synovial expression of triggering receptor expressed on myeloid cells 1 in patients with septic arthritis or rheumatoid arthritis. Ann. Rheum. Dis. 68, 1768–1774 (2009).

    CAS  Article  Google Scholar 

  33. 33

    Hyder, L. A. et al. TREM-1 as a potential therapeutic target in psoriasis. J. Invest. Dermatol. 133, 1742–1751 (2013).

    CAS  Article  Google Scholar 

  34. 34

    Ferat-Osorio, E. et al. Triggering receptor expressed on myeloid cells-1 expression on monocytes is associated with inflammation but not with infection in acute pancreatitis. Crit. Care 13, R69 (2009).

    Article  Google Scholar 

  35. 35

    Lo, T.-H. et al. TREM-1 regulates macrophage polarization in ureteral obstruction. Kidney Int. 86, 1174–1186 (2014).

    CAS  Article  Google Scholar 

  36. 36

    Radsak, M. P. et al. Soluble triggering receptor expressed on myeloid cells 1 is released in patients with stable chronic obstructive pulmonary disease. Clin. Dev. Immunol. 2007, 52040–52047 (2007).

    Article  Google Scholar 

  37. 37

    Zhou, J. et al. TREM-1 inhibition attenuates inflammation and tumor within the colon. Int. Immunopharmacol. 17, 155–161 (2013).

    CAS  Article  Google Scholar 

  38. 38

    Schiechl, G. et al. Inhibition of innate co-receptor TREM-1 signaling reduces CD4(+) T cell activation and prolongs cardiac allograft survival. Am. J. Transplant. 13, 1168–1180 (2013).

    CAS  Article  Google Scholar 

  39. 39

    Boufenzer, A. et al. TREM-1 mediates inflammatory injury and cardiac remodeling following myocardial infarction. Circ. Res. 116, 1772–1782 (2015).

    CAS  Article  Google Scholar 

  40. 40

    Schenk, M., Bouchon, A., Seibold, F. & Mueller, C. TREM-1—expressing intestinal macrophages crucially amplify chronic inflammation in experimental colitis and inflammatory bowel diseases. J. Clin. Invest. 117, 3097–3106 (2007).

    CAS  Article  Google Scholar 

  41. 41

    Drechsler, M., Megens, R. T. A., van Zandvoort, M., Weber, C. & Soehnlein, O. Hyperlipidemia-triggered neutrophilia promotes early atherosclerosis. Circulation 122, 1837–1845 (2010).

    CAS  Article  Google Scholar 

  42. 42

    Yáñez, A. & Goodridge, H. S. Interferon regulatory factor 8 and the regulation of neutrophil, monocyte, and dendritic cell production. Curr. Opin. Hematol. 23, 11–17 (2016).

    Article  Google Scholar 

  43. 43

    Zanzinger, K., Schellack, C., Nausch, N. & Cerwenka, A. Regulation of triggering receptor expressed on myeloid cells 1 expression on mouse inflammatory monocytes. Immunology 128, 185–195 (2009).

    CAS  Article  Google Scholar 

  44. 44

    Choi, J.-H. et al. Flt3 signaling-dependent dendritic cells protect against atherosclerosis. Immunity 35, 819–831 (2011).

    CAS  Article  Google Scholar 

  45. 45

    Tamoutounour, S. et al. CD64 distinguishes macrophages from dendritic cells in the gut and reveals the Th1-inducing role of mesenteric lymph node macrophages during colitis. Eur. J. Immunol. 42, 3150–3166 (2012).

    CAS  Article  Google Scholar 

  46. 46

    Bain, C. C. et al. Resident and pro-inflammatory macrophages in the colon represent alternative context-dependent fates of the same Ly6Chi monocyte precursors. Mucosal Immunol. 6, 498–510 (2013).

    CAS  Article  Google Scholar 

  47. 47

    Zigmond, E. et al. Ly6Chi monocytes in the inflamed colon give rise to proinflammatory effector cells and migratory antigen-presenting cells. Immunity 37, 1076–1090 (2012).

    CAS  Article  Google Scholar 

  48. 48

    Rahaman, S. O. et al. A CD36-dependent signaling cascade is necessary for macrophage foam cell formation. Cell Metab. 4, 211–221 (2006).

    CAS  Article  Google Scholar 

  49. 49

    Moore, K. J. & Freeman, M. W. Scavenger receptors in atherosclerosis: beyond lipid uptake. Arterioscler. Thromb. Vasc. Biol. 26, 1702–1711 (2006).

    CAS  Article  Google Scholar 

  50. 50

    Wang, Y.-S., Li, X.-J. & Zhao, W.-O. TREM-1 is a positive regulator of TNF-α and IL-8 production in U937 foam cells. Bosn. J. Basic Med. Sci. 12, 94–101 (2012).

    CAS  Article  Google Scholar 

  51. 51

    Yan, Q. et al. Jmjd3-mediated epigenetic regulation of inflammatory cytokine gene expression in serum amyloid A-stimulated macrophages. Cell Signal. 26, 1783–1791 (2014).

    CAS  Article  Google Scholar 

  52. 52

    Sheedy, F. J. & Moore, K. J. IL-1 signaling in atherosclerosis: sibling rivalry. Nat. Immunol. 14, 1030–1032 (2013).

    CAS  Article  Google Scholar 

  53. 53

    Tessarz, A. S. et al. Non-T cell activation linker (NTAL) negatively regulates TREM-1/DAP12-induced inflammatory cytokine production in myeloid cells. J. Immunol. 178, 1991–1999 (2007).

    CAS  Article  Google Scholar 

  54. 54

    Golovkin, A. S. et al. Association of TLR and TREM-1 gene polymorphisms with risk of coronary artery disease in a Russian population. Gene 550, 101–109 (2014).

    CAS  Article  Google Scholar 

  55. 55

    Yuan, Z. et al. TREM-1 is induced in tumor associated macrophages by cyclo-oxygenase pathway in human non-small cell lung cancer. PLoS ONE 9, e94241 (2014).

    ADS  Article  Google Scholar 

  56. 56

    Dower, K., Ellis, D. K., Saraf, K., Jelinsky, S. A. & Lin, L. L. Innate immune responses to TREM-1 activation: overlap, divergence, and positive and negative cross-talk with bacterial lipopolysaccharide. J. Immunol. 180, 3520–3534 (2008).

    CAS  Article  Google Scholar 

  57. 57

    Epelman, S. et al. Embryonic and adult-derived resident cardiac macrophages are maintained through distinct mechanisms at steady state and during inflammation. Immunity 40, 91–104 (2014).

    CAS  Article  Google Scholar 

  58. 58

    Bleharski, J. R. et al. A role for triggering receptor expressed on myeloid cells-1 in host defense during the early-induced and adaptive phases of the immune response. J. Immunol. 170, 3812–3818 (2003).

    CAS  Article  Google Scholar 

  59. 59

    Zheng, H. et al. MYD88-dependent and -independent activation of TREM-1 via specific TLR ligands. Eur. J. Immunol. 40, 162–171 (2010).

    CAS  Article  Google Scholar 

  60. 60

    Cannon, J. P., O'Driscoll, M. & Litman, G. W. Specific lipid recognition is a general feature of CD300 and TREM molecules. Immunogenetics 64, 39–47 (2012).

    CAS  Article  Google Scholar 

  61. 61

    Poliani, P. L. et al. TREM2 sustains microglial expansion during aging and response to demyelination. J. Clin. Invest. 125, 2161–2170 (2015).

    Article  Google Scholar 

  62. 62

    Warnatsch, A., Ioannou, M., Wang, Q. & Papayannopoulos, V. Neutrophil extracellular traps license macrophages for cytokine production in atherosclerosis. Science 349, 316–320 (2015).

    ADS  CAS  Article  Google Scholar 

  63. 63

    Tall, A. R. & Yvan-Charvet, L. Cholesterol, inflammation and innate immunity. Nat. Rev. Immunol. 15, 104–116 (2015).

    CAS  Article  Google Scholar 

  64. 64

    Nagy, L., Tontonoz, P., Alvarez, J. G., Chen, H. & Evans, R. M. Oxidized LDL regulates macrophage gene expression through ligand activation of PPARgamma. Cell 93, 229–240 (1998).

    CAS  Article  Google Scholar 

  65. 65

    Tontonoz, P., Nagy, L., Alvarez, J. G. A., Thomazy, V. A. & Evans, R. M. PPARγ promotes monocyte/macrophage differentiation and uptake of oxidized LDL. Cell 93, 241–252 (1998).

    CAS  Article  Google Scholar 

  66. 66

    Ingersoll, M. A. et al. Comparison of gene expression profiles between human and mouse monocyte subsets. Blood 115, e10–e19 (2010).

    CAS  Article  Google Scholar 

  67. 67

    Yona, S. et al. Fate mapping reveals origins and dynamics of monocytes and tissue macrophages under homeostasis. Immunity 38, 79–91 (2013).

    CAS  Article  Google Scholar 

  68. 68

    Firmann, M. et al. The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc. Disord. 8, 6 (2008).

    Article  Google Scholar 

  69. 69

    Oberli, A. et al. Expression profiling with RNA from formalin-fixed, paraffin-embedded material. BMC Med. Genomics 1, 9 (2008).

    Article  Google Scholar 

  70. 70

    Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47–e47 (2015).

    Article  Google Scholar 

  71. 71

    Wickham, H. ggplot2 Springer Science and Business Media (2009).

Download references

Acknowledgements

We thank Murielle Bochud and Gérard Waeber from the University of Lausanne for their analyses of the TREM1 SNP data in the CoLaus cohort and their time for discussions. We further thank the FACS sorting facility of the Department of Clinical Research, University of Bern for excellent assistance with cell sorting. We are very grateful to Anne-Laure Huguenin and Ursina Lüthi from the Department of Clinical Research, University of Bern for their expert help with the progenitor isolation and CFU assays. This work was supported by grants from the Swiss National Science Foundation (no. 138392 to C.M.) and from the Novartis Foundation for medical-biological research (no. 13C173 to L.S.).

Author information

Affiliations

Authors

Contributions

D.Z. planned and conducted the majority of experiments with the assistance of S.R. and J.B. B.W. was involved in generation of the Trem1−/− mice and initial experiments. S.F. and C.R. critically contributed to the design of the study with support from A.F.O. Y.B. histopathologically assessed human aortic tissue specimens. A.C. generated the U937-TD cells. C.S. and P.M.-V. performed statistical analyses of the Nanostring and TREM-1-SNP/IMT data, respectively. L.S. and C.M. designed the study and wrote the manuscript together.

Corresponding authors

Correspondence to Leslie Saurer or Christoph Mueller.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures 1-7, Supplementary Tables 1-4 and Supplementary References. (PDF 6332 kb)

Peer Review File (PDF 404 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zysset, D., Weber, B., Rihs, S. et al. TREM-1 links dyslipidemia to inflammation and lipid deposition in atherosclerosis. Nat Commun 7, 13151 (2016). https://doi.org/10.1038/ncomms13151

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing