- Original research
- Open Access
Targeting mannose receptor expression on macrophages in atherosclerotic plaques of apolipoprotein E-knockout mice using 68Ga-NOTA-anti-MMR nanobody: non-invasive imaging of atherosclerotic plaques
EJNMMI Research volume 9, Article number: 5 (2019)
Rupture-prone atherosclerotic plaques are characterized by heavy macrophage infiltration, and the presence of certain macrophage subsets might be a sign for plaque vulnerability. The mannose receptor (MR, CD206) is over-expressed in several types of alternatively activated macrophages. In this study, our objective was to evaluate the feasibility of a Gallium-68 (68Ga)-labelled anti-MR nanobody (68Ga-anti-MMR Nb) for the visualization of MR-positive (MR+) macrophages in atherosclerotic plaques of apolipoprotein E-knockout (ApoE-KO) mice.
NOTA-anti-MMR Nb was labelled with 68Ga with radiochemical purity > 95%. In vitro cell-binding studies demonstrated selective and specific binding of the tracer to M2a macrophages. For in vivo atherosclerotic plaque imaging studies, 68Ga-NOTA-anti-MMR Nb was injected into ApoE-KO and control mice intravenously (i.v.) and scanned 1 h post-injection for 30 min using a dedicated animal PET/CT. Focal signals could be detected in aortic tissue of ApoE-KO mice, whereas no signal was detected in the aortas of control mice. 68Ga-NOTA-anti-MMR Nb uptake was detected in atherosclerotic plaques on autoradiographs and correlated well with Sudan-IV-positive areas. The calculated ratio of plaque-to-normal aortic tissue autoradiographic signal intensity was 7.7 ± 2.6 in aortas excised from ApoE-KO mice. Immunofluorescence analysis of aorta cross-sections confirmed predominant MR expression in macrophages located in the fibrous cap layer and shoulder region of the plaques.
68Ga-NOTA-anti-MMR Nb allows non-invasive PET/CT imaging of MR expression in atherosclerotic lesions in a murine model and may represent a promising tool for clinical imaging and evaluation of plaque (in)stability.
Atherosclerosis is a leading cause of morbidity and mortality worldwide . Despite substantial advances in understanding and treatment of conventional risk factors, the prevalence of diseases associated with atherosclerosis keeps growing. It remains clinically challenging to identify asymptomatic individuals at high risk for developing acute complications of atherosclerosis. A main focus has therefore been assigned to develop non-invasive imaging approaches for plaque characterization. Radioisotope-based molecular imaging has emerged at the forefront of methods for identifying biological aspects of atherosclerotic plaques and assessing hallmarks involved in plaque vulnerability, which are not possible to capture with morphometric imaging. However, the selection of a suitable molecular target in rupture-prone plaques remains a major challenge with this approach .
Monocyte-derived macrophages are the first inflammatory cells to invade atherosclerotic lesions and are recognized as key pathophysiologic agents in atherosclerosis [3,4,5]. They are involved at multiple stages of plaque development and are therefore increasingly gaining importance as imaging targets in atherosclerosis. However, macrophages are a heterogeneous population of cells, and different subsets could be either pro- or anti-atherosclerotic [6, 7]. Distinct macrophage phenotypes can be assessed by the expression of different surface biomarkers and chemokine receptors [6,7,8,9,10,11].
Certain macrophage subtypes express carbohydrate-binding receptors, e.g., mannose receptor (MR, CD206) [6, 7], which is a highly effective endocytic C-type lectin receptor (175 kDa). High expression of MR was reported on macrophages located in the fibrous cap of plaques, whereas apoptotic macrophages of the lipid core have shown only low expression . Therefore, effective targeting of macrophages using MR-specific radioconjugates is a potential approach for imaging atherosclerotic plaques.
Recently, nanobodies (Nbs) against macrophage mannose receptor (MMR) have been developed, and their potential as in vivo diagnostic tracers for non-invasive imaging a subpopulation of tumour-infiltrating macrophages [13, 14] and joint inflammation in rheumatoid arthritis  have been well documented.
Nbs, which are derived from camelid heavy chain-only antibodies, are the smallest available antigen-binding fragments . Their small size (~ 15 kDa) is favourable for rapid localization at the target tissue and clearance from circulation via kidneys, which results in high target-to-background signal ratios in a short time . Consequently, imaging with Nb-based radioconjugates can be carried out as early as 1 h post-injection (p.i.), enabling the use of short-lived radioisotopes, e.g., Gallium-68 (68Ga).
In the present study, our objective was to evaluate the potential of 68Ga-NOTA-anti-MMR Nb for selectively targeting MR-positive (MR+) macrophages and non-invasively imaging atherosclerotic plaques. This approach might pave the way for better understanding the role of MR+ macrophages in plaque progression and rupture in patients. After investigating the in vivo biodistribution and specificity of 68Ga-NOTA-anti-MMR Nb in wildtype mice, a thorough assessment as a tracer for non-invasive in vivo nuclear molecular imaging of atherosclerotic lesions was performed in apolipoprotein E-knockout (ApoE-KO) mice.
For biodistribution and in vivo specificity studies, female C57BL/6 mice (5 weeks old, 18–21 g weight, from Charles River Laboratories) referred to as wildtype were used. Adult ApoE-KO mice (Apoetm1Unc, female, 28 weeks old, 28–32 g weight, from Jackson laboratory) were used for in vivo and ex vivo imaging studies. ApoE-KO mice were on high fat diet (42% calories from fat, E 15721-347 from ssniff Spezialdiäten GmbH) for 20 weeks. Age-matched female C57BL/6 mice were used as controls. Control mice were fed a normal chow diet.
Preparation of the radiotracer
The anti-MMR Nb 3.49, cross-reactive for both the mouse (KD = 12 nM) and human (KD = 1.8 nM) homologue of MR , was conjugated with the bifunctional chelator 2-S-(4-isothiocyanatobenzyl)-1,4,7-triazacyclononane-N,N′,N″-triacetic acid (p-SCN-Bn-NOTA, Macrocyclics) as described elsewhere . A solution of NOTA-anti-MMR Nb was labelled with 68Ga at room temperature. Briefly, 25 μl (55.25 μg) of NOTA-anti-MMR Nb solution was incubated with 2.275 ml (~ 400 MBq) of 68Ga eluate (in 0.05 M HCl) and 200 μl of sodium acetate buffer (2 M, pH 5) for 15 min. Radiochemical purity (RCP) of the tracer was determined by radio-instant thin layer chromatography (radio-ITLC) using 0.1 M sodium citrate (pH 5) as the mobile phase.
For further animal studies, the radiotracer was purified using a PD-10 column (GE Healthcare) preconditioned with 25 ml of phosphate-buffered saline (PBS).
In vitro binding specificity assay
Fresh peripheral blood mononuclear cells (PBMC) were isolated from healthy human donor blood using standard Ficoll-Paque density-gradient (Amersham Biosciences). CD14-positive monocytes were isolated from PBMCs using positive selection technology (MACS technology; Miltenyi Biotec). Isolated cells were plated in 12-well dishes (106 cells/dish) for attachment using Monocyte Attachment Medium, according to the manufacturer’s protocol (C28051, PromoCell). Subsequent differentiation was performed by incubating the cells with M1 or M2-Macrophage Generation Medium DXF (C-28055 or C-28056, PromoCell). M1-activation of macrophages was achieved by addition of IFN-ɣ (50 ng/ml, C-60724, PromoCell) and LPS (100 ng/ml, Sigma-Aldrich), and M2a-activation of M2-macrophages was achieved by addition of 20 ng/ml IL-4 stimulatory factor, according to manufacturer’s protocol (C-61420A, PromoKine). Differentiated cells were incubated with 10 nM 68Ga-NOTA-anti-MMR Nb for 30 min at room temperature in order to avoid receptor internalization. One set of M2a dishes was co-incubated with a 1000-fold excess amount of non-labelled NOTA-anti-MMR Nb referred as M2a-blocked. After incubation, media were removed from cell dishes. Cells were washed and detached using Macrophage Detachment Solution DXF (C-41330, PromoCell). Cell solutions were transferred into fraction tubes. A fraction of cell suspensions was used for cell counting. The radioactivity of the remaining cells was measured in an automated gamma counter (PerkinElmer 2480 WIZARD2). The uptake was calculated as cell-associated radioactivity.
Biodistribution and in vivo binding specificity studies
Two groups (n = 5 per group) of wildtype mice were injected intravenously (i.v.) with 8–10 MBq of 68Ga-NOTA-anti-MMR Nb (3–4 μg) to assess blood clearance and overall biodistribution of the tracer. One group was co-injected with a 100-fold excess amount of non-labelled NOTA-anti-MMR Nb and are referred to as the blocked group. The mice were sacrificed by a high dose of Pentobarbital (Narcoren) 1 h p.i. Blood was collected by heart puncture and organs and tissues were excised. The samples were put in pre-weighed plastic vials. The samples were weighed, and their radioactivity was measured in the gamma counter against a standard of known activity. The uptake in tissue and organs was calculated as percentage of injected activity per gram of tissue (% IA/g) corrected for decay. For the gastrointestinal tract and the carcass, percentage of injected activity per gram of whole sample was calculated (% IA/g).
In vivo imaging (PET/CT study)
Two groups of mice, ApoE-KO (n = 15) and control (n = 6), were used for in vivo and ex vivo imaging studies. Mice were kept fully sedated with 1.5–2% isoflurane during injections and PET/CT imaging. Images were acquired using the Inveon small animal PET/CT scanner (Siemens, Knoxville, TN, USA) 1 h after i.v. injection of 68Ga-NOTA-anti-MMR Nb (8–10 MBq, 3–4 μg). Briefly, CT anatomic images were acquired (80 kV, 500 μA) with a pixel size of 0.1 mm. After CT imaging, static PET images were acquired with an acquisition time of 20 min. Images were reconstructed as single frames using Siemens Inveon software, employing a 3-dimensional ordered subsets expectation maximum algorithm (OSEM3D) without scatter and attenuation correction. A group of ApoE-KO mice (n = 4), referred to as the ApoE-KO blocked group, was co-injected with blocking dose (100-fold excess) of non-labelled NOTA-anti-MMR Nb. For quantification of vascular uptake, circular regions of interest (ROIs) were placed on axial PET/CT images of the thoracic and abdominal aortas and signal intensities were recorded as kBq/cc. ROIs were identified by the same person with their centres at the point of local maximum 68Ga-NOTA-anti-MMR Nb uptake.
Ex vivo imaging (autoradiography and Sudan-IV staining)
After PET/CT scans, mice were euthanized with an overdose of isoflurane. The whole length of the aortas (from the sinotubular junction to the iliac bifurcation) was excised using a dissection microscope (Zeiss Stemi DV4 SPOT) . The radioactivity of the dissected aortic tissues was measured in the gamma counter. After radioactivity measurements, the adventitial tissue on the aortas was removed by careful dissection. The aortas of ApoE-KO non-blocked (n = 9), ApoE-KO blocked (n = 4) and control (n = 4) mice were kept intact and longitudinally exposed to phosphor imaging plates (Fuji Imaging Plate, Fujifilm). Radioactivity signals were collected for 1 h. The imaging plates were scanned, autoradiographs were obtained with a phosphor imaging system (Raytest, Straubenhardt, Germany) and images were analysed for count densities. ROIs were placed on the whole aorta to measure total quantum level (QL) units contained in that area. In addition, ROIs were placed over normal aortic tissue to calculate signal intensities per unit area (QL/mm2) of normal aortic tissue.
After autoradiography, aortas were opened longitudinally, mounted en face on a black wax surface to expose the luminal side and stained with Sudan-IV for neutral lipids using a previously published method . The images of en face stained aortas were used to measure the whole aorta and lesional surface areas. Briefly, the outer border of the whole aortas as well as each Sudan-IV stained plaque surface was encircled manually and their areas (mm2) were measured using the public domain software ImageJ (National Institutes of Health (NIH), USA) . Data were used to calculate autoradiographic signal intensity (QL/mm2) in the whole aorta, in normal aortic tissue and in plaques.
Immunofluorescence staining and confocal microscopy
For immunofluorescence staining, 10-μm-thick cross-sections were prepared from excised aortas of ApoE-KO (n = 2) and control (n = 2) mice. Parallel sections were immunostained as previously described . Briefly, slides were fixed with acetone, rehydrated in PBS, blocked with 10% donkey serum and incubated for 3 h with primary antibodies diluted with 2.5% bovine serum albumin (BSA). Primary antibodies include rat anti-mouse CD68 (clone FA-11, Bio-Rad) for macrophages and goat anti-mouse CD206 antibody (clone MR5D3, Bio-Rad) for MR. Corresponding secondary antibodies were conjugated with Alexa 488 and Cy5. DAPI was used to stain DNA. For negative controls, staining was performed without primary antibodies. Stained sections were analysed using a SP8 confocal laser scanning microscope (Leica, Mannheim, Germany).
Data are expressed as mean ± standard deviation. The Mann-Whitney U test was used to compare the variables. A p value ≤ 0.05 was considered significant. Statistical analysis was done using SPSS Statistics software (version 24.0.0, IBM Company, Chicago, IL, USA).
68Ga labelling of NOTA-anti-MMR Nb provided a high radiochemical purity
NOTA-anti-MMR Nb was labelled with an overall RCP of 97.2 ± 1.2% with 68Ga before any purification step. PD-10 purification improved the RCP up to 99.0 ± 0.6%. A specific activity of 3–4 MBq/μg was obtained.
68Ga-NOTA-anti-MMR Nb specifically binds to cultured human M2a-polarized macrophages
Compared to M1 macrophages, IL-4-activated M2-polarized cells (M2a macrophages) displayed enhanced tracer binding. Almost 6-fold greater cell-associated radioactivity was measured for non-blocked M2a macrophages compared to the M1 subset (551 ± 170 vs 93 ± 10 CPM/105 cells, respectively). Binding of 68Ga-NOTA-anti-MMR Nb to M2a macrophages was receptor-mediated, as demonstrated by displacement using non-radioactive compound. Blocking the receptor sites by a 1000-fold excess of non-labelled NOTA-anti-MMR Nb decreased the radiotracer uptake more than 7-fold (83 ± 20 CPM/105 cells) in the M2a-blocked subset (Fig. 1).
Rapid biodistribution and specific uptake of 68Ga-NOTA-anti-MMR Nb in MR+ organs
Data concerning the ex vivo biodistribution of 68Ga-NOTA-anti-MMR Nb in wildtype mice is presented in Table 1. The biodistribution data showed rapid clearance of 68Ga-NOTA-anti-MMR Nb from circulation via renal excretion as demonstrated by low blood values (1.4 ± 0.4% IA/g) and high kidney uptakes (144.3 ± 33.2% IA/g). Specific uptake was demonstrated in receptor-positive organs, e.g., salivary glands, liver and spleen [20, 21]. The saturation of MR by co-injection of non-labelled NOTA-anti-MMR Nb decreased the uptake of 68Ga-NOTA-anti-MMR Nb more than 2-fold in the above mentioned organs. The blocking effect was also observed for the heart and for fat tissue sampled from abdominal area.
Specific uptake of 68Ga-NOTA-anti-MMR Nb in the atherosclerotic lesions
The lesions in the thoracic aorta and the lower part of the abdominal aorta were clearly visualized in PET/CT images of ApoE-KO non-blocked mice. Conversely, no hotspots could be identified in the aortas of control mice or in those of ApoE-KO mice co-injected with an excess amount of non-labelled NOTA-anti-MMR Nb (Fig.2a). Morphometric data from representative images of the Sudan-IV staining revealed more lipid-laden plaques in the aortic arch and roots than in the lower abdominal aorta, which corroborates the extended autoradiographic signals, originated from the thoracic aorta, over a larger area (Fig. 3a). However, PET-derived signal intensity was slightly but significantly (p = 0.05) higher for the low abdominal lesions (28.9 ± 3.6 kBq/cc) compared to the plaques located in the thoracic aorta (21.6 ± 1.4 kBq/cc) (Fig. 2b). The aortas from control mice did not exhibit focal radioactivity signal and lipid staining. Mean percentage of injected dose per whole aorta dissected from ApoE-KO non-blocked mice was more than 3- and 5-fold greater than that of the ones dissected from ApoE-KO blocked and control mice, respectively. The results of quantification of the autoradiography images comparing signal intensity in whole aortas showed significantly greater uptake in aortas extracted from ApoE-KO non-blocked ((3.6 ± 0.1) × 105 QL/mm2) compared to aortic tissue from blocked ((2.1 ± 0.1) × 105 QL/mm2) and control mice ((1.3 ± 0.2) × 105 QL/mm2) (Fig. 3b). Ex vivo autoradiography data showed high 68Ga-NOTA-anti-MMR Nb accumulation in the plaques of ApoE-KO mice ((11.9 ± 4.4) × 105 QL/mm2). This uptake was receptor-mediated. Saturating the receptors with co-injection of non-labelled NOTA-anti-MMR Nb decreased the signal intensity in the plaques dramatically ((0.7 ± 0.1) × 105 QL/mm2) (Fig. 3c).
The co-expression of MR with CD68 in the lesions was confirmed by immunofluorescence staining
A portion of CD68-positive (CD68+) macrophages located in the fibrous cap layer and shoulder region of the lesions was MR+ as confirmed by immunofluorescence staining (Fig. 4a). MR expression was also observed in adventitial tissue in aortas isolated from both ApoE-KO and control mice (Fig. 4b).
The macrophage population of atherosclerotic plaques is heterogeneous. Beside previously reported M1 and M2 macrophages, the presence of unique macrophage phenotypes has also been demonstrated in atherosclerotic lesions [6, 7]. MR+ macrophages were first reported by Bouhlel et al. in human carotid plaques . Based on recent findings representing predominant expression of MR in fibrous cap of atherosclerotic plaques [23, 24], MR has been proposed as a potential target biomarker to identify culprit lesions. However, the exact role of alternative macrophages in atherosclerosis and their contribution to plaque vulnerability is still a matter of debate [25, 26].
Chinetti-Gbaguidi et al. have reported that IL-4-polarized CD68+MR+ macrophages express high levels of receptors involved in phagocytosis but show low capacity to ingest native and oxidized lipoproteins in vitro. The ability of these macrophage populations to clear apoptotic cells without accumulating lipids suggests that they may have beneficial roles in stabilizing atherosclerotic lesions . On the other hand, the presence of M2 (CD68+CD163+) but not M1 macrophages in the fibrous cap near the rupture site of the asymptomatic thrombotic plaques in human carotid artery was reported by Mauriello et al., suggesting that alternative macrophages might also modulate the process of plaque rupture . A high density of MR+ macrophages was also reported by Tahara et al. in high-risk plaques obtained from subjects who had experienced sudden cardiac death . Furthermore, matrix metalloproteinase-9 (MMP-9, which is the most dominantly present MMP in atherosclerotic plaques) is produced by M2 rather than M1 macrophages [29, 30]. It has been reported that the rupture of carotid plaques is significantly associated with MMP-9 expression in the lesions . As MMP-9 is capable of degrading type IV collagen  and triggering plaque rupture, the M2 macrophage phenotype may have a predominant role in plaque instability. In addition, the recently described MR+ M4 macrophages were reported to have potential pro-atherogenic roles in vulnerable plaques. They produce MMP12, an enzyme which may also be involved in the degradation of fibrous caps and hence the destabilization of atherosclerotic lesions [33,34,35]. Motivated by the above mentioned findings, we aimed to investigate the feasibility of imaging MR expression in atherosclerotic lesions of a murine model using radiolabelled anti-MMR Nb-based radiotracers.
In the previous study, we were not able to evaluate the relevance of the technetium-99m (99mTc)-labelled anti-MMR3.49 Nb for atherosclerosis and no positive correlation was found between plaque burden and 99mTc-anti-MMR3.49 Nb uptake. As confirmed by immunofluorescence staining, the absence of 99mTc-anti-MMR3.49 Nb uptake in the plaques corroborated with the absence of MR expression in the lesions . However, we warned for MR expression in the adventitial tissue. In the current study, however, the presence of MR+ macrophages, which were mainly located in the fibrous cap and in the shoulder regions of the atherosclerotic plaques, was confirmed by immunofluorescence staining. Corroborating with our previous observation, remarkable MR expression was observed in the adventitia of the aortas isolated from both ApoE-KO and control mice. The presence of macrophages in the adventitia of normal arteries has previously been reported [10, 24]. The adventitia underlying atherosclerotic plaques showed more MR expression compared to plaque-free areas of aorta segments isolated from ApoE-KO and control mice, which could be explained by the presence of adventitial cellular infiltration related to atheroma [9, 37]. Compared to 99mTc, the short half-life of the 68Ga matches better with the fast blood clearance and target localization of the anti-MMR Nb. In addition, because of its inherently higher sensitivity and considerably better spatial resolution, PET may improve the imaging of atherosclerotic lesions compared with SPECT.
Despite the small dimension of the lesions, they were successfully visualized in the aortas of ApoE-KO mice using a small animal PET/CT scanner, 1 h p.i. of 68Ga-NOTA-anti-MMR Nb. In order to evaluate the specific signal from MR expression in the atherosclerotic plaques, the adventitial tissue on the aortas was removed by careful dissection for ex vivo autoradiography studies. The tracer uptake on ex vivo autoradiographic images was co-localized with Sudan-IV-positive areas corresponding to atherosclerotic plaques. Since the extent of atherosclerosis affecting the intimal surface along the aortas was not the same in all animals, the autoradiographic signals were normalized to the area of plaques, measured after Sudan-IV staining.
MR has been adopted as a biomarker to identify rupture-prone atherosclerotic plaques, and different targeted nuclear imaging probes have been developed with the aim of visualizing MR expression in the lesions. The feasibility of 18F-labelled D-mannose (2-deoxy-2-[18F]fluoro-d-mannose, 18F-FDM) for imaging of atherosclerotic lesions was reported by Tahara et al. . They demonstrated that 18F-FDM uptake is not inferior to that of 18F-FDG for imaging of plaque inflammation . The 68Ga-labelled NOTA-coupled mannosylated human serum albumin was reported by Kim et al. as a radiotracer for non-invasive detection of M2 macrophages in vulnerable atherosclerotic plaques . Recently, we demonstrated the feasibility of 111In-tilmanocept for non-invasive in vivo targeting of plaque inflammation in ApoE-KO mouse model . Although the success of these radiotracers for in vivo visualization of atherosclerotic plaques has been well documented—due to the fact that mannose is an isomer of glucose, 18F-FDM as well as other above mentioned mannosylated radiotracers may be taken up by all macrophages (similarly to 18F-FDG) and thus may be unsuitable for discrimination between different phenotypes. In the present study, however, our objective was to assess the potential of an anti-MMR Nb for specific targeting of MR+ macrophages and in vivo imaging of atherosclerotic plaques in ApoE-KO mice.
Radiotracers based on anti-MMR Nbs have been well evaluated for imaging tumour-infiltrating macrophages [13, 14] and joint inflammation in rheumatoid arthritis animal models . The specificity of the tracers to MR has also been confirmed in MR-KO mice [13, 14]. 68Ga-NOTA-anti-MMR Nb has also been thoroughly investigated in a rabbit model of atherosclerosis . Using a clinical PET/MR scanner, a gradual increase in signal intensity was observed in the aortas of atherosclerotic rabbits as disease progressed, confirming translatability to other animal species.
This study has some limitations. Regardless of its sufficient expression by macrophages located in atherosclerotic plaques for in vivo imaging, MR is also expressed by some cells in adventitia which causes a non-negligible background signal when using 68Ga-NOTA-anti-MMR Nb. The presence of MR+ cells in several abdominal area organs might also have hampered the in vivo detection of radiotracer uptake in the abdominal aorta, due to the small size of the mouse body. Although we were able to evaluate the relevance of MR targeting with 68Ga-NOTA-anti-MMR Nb in ApoE-KO mouse model of atherosclerosis, whether 68Ga-NOTA-anti-MMR Nb also accumulates in complex human atherosclerotic plaques needs to be validated in future studies.
More clinically relevant animal models are necessary to study the exact role of distinct macrophage phenotypes and their impact on plaque (in)stability. Accordingly, the contribution of MR+ macrophages in the evolution and vulnerability of atherosclerotic lesions and the predictive value of MR imaging for vulnerable patients should be further investigated. Nevertheless, as inflammation is a major event in atherosclerosis, imaging of macrophages, and in particular their phenotypes, is an attractive approach for plaque imaging and therapy.
Our study indicates that 68Ga-NOTA-anti-MMR Nb is a promising candidate as a probe for imaging MR expression in vivo. The presented data confirm that small dimension atherosclerotic plaques can be efficiently targeted and visualized using 68Ga-NOTA-anti-MMR Nb in ApoE-KO mouse model.
- % IA/g:
Percentage of injected activity per gram of tissue
Macrophage mannose receptor
Peripheral blood mononuclear cell
Positron emission tomography/computed tomography
Region of interest
Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, et al. Executive summary: heart disease and stroke statistics-2016 update: a report from the American Heart Association. Circulation. 2016;133:447–54.
Quillard T, Libby P. Molecular imaging of atherosclerosis for improving diagnostic and therapeutic development. Circ Res. 2012;111:231–44.
Swirski FK, Nahrendorf M. Leukocyte behavior in atherosclerosis, myocardial infarction, and heart failure. Science. 2013;339:161–6.
Sager HB, Nahrendorf M. Inflammation: a trigger for acute coronary syndrome. Q J Nucl Med Mol Imaging. 2016;60(3):185–93.
Libby P, Ridker PM, Hansson GK. Progress and challenges in translating the biology of atherosclerosis. Nature. 2011;473:317–25.
Chistiakov DA, Bobryshev YV, Nikiforov NG, Elizova NV, Sobenin IA, et al. Macrophage phenotypic plasticity in atherosclerosis: the associated features and the peculiarities of the expression of inflammatory genes. Int J Cardiol. 2015;184:436–45.
Bobryshev YV, Ivanova EA, Chistiakov DA, Nikiforov NG, Orekhov AN. Macrophages and their role in atherosclerosis: pathophysiology and transcriptome analysis. Biomed Res Int. 2016;2016:9582430.
Colin S, Chinetti-Gbaguidi G, Staels B. Macrophage phenotypes in atherosclerosis. Immunol Rev. 2014;262:153–66.
Williams HJ, Fisher EA, Greaves DR. Macrophage differentiation and function in atherosclerosis; opportunities for therapeutic intervention? J Innate Immun. 2012;4:498–508.
Galkina E, Ley K. Immune and inflammatory mechanisms of atherosclerosis. Annu Rev Immunol. 2009;27:165–97.
Gui T, Shimokado A, Sun Y, Akasaka T, Muragaki Y. Diverse roles of macrophages in atherosclerosis: from inflammatory biology to biomarker discovery. Mediat Inflamm. 2012;2012:693083.
Chinetti-Gbaguidi G, Baron M, Bouhlel MA, Vanhoutte J, Copin C, et al. Human atherosclerotic plaque alternative macrophages display low cholesterol handling but high phagocytosis because of distinct activities of the PPARγ and LXRα pathways. Circ Res. 2011;108:985–95.
Movahedi K, Schoonooghe S, Laoui D, Houbracken I, Waelput W, et al. Nanobody-based targeting of the macrophage mannose receptor for effective in vivo imaging of tumor-associated macrophages. Cancer Res. 2012;72:4165–77.
Blykers A, Schoonooghe S, Xavier C, D'hoe K, Laoui D, et al. PET imaging of macrophage mannose receptor-expressing macrophages in tumor stroma using 18F-radiolabeled camelid single-domain antibody fragments. J Nucl Med. 2015;56:1265–71.
Put S, Schoonooghe S, Devoogdt N, Schurgers E, Avau A, et al. SPECT imaging of joint inflammation with nanobodies targeting the macrophage mannose receptor in a mouse model for rheumatoid arthritis. J Nucl Med. 2013;54:807–14.
Chakravarty R, Goel S, Cai W. Nanobody: the “magic bullet” for molecular imaging? Theranostics. 2014;4:386–98.
Xavier C, Vaneycken I, D'huyvetter M, Heemskerk J, Keyaerts M, et al. Synthesis, preclinical validation, dosimetry, and toxicity of 68Ga-NOTA-anti-HER2 Nanobodies for iPET imaging of HER2 receptor expression in cancer. J Nucl Med. 2013;54:776–84.
Mohanta S, Yin C, Weber Ch HD, Habenicht A. Aorta atherosclerosis lesion analysis in hyperlipidemic mice. Bio Protoc. 2016;6:e1833.
Hu D, Mohanta SK, Yin C, Peng L, Ma Z, et al. Artery tertiary lymphoid organs control aorta immunity and protect against atherosclerosis via vascular smooth muscle cell lymphotoxin beta receptors. Immunity. 2015;42:1100–15.
Linehan SA. The mannose receptor is expressed by subsets of APC in non-lymphoid organs. BMC Immunol. 2005;6:4.
Takahashi K, Donovan MJ, Rogers RA, Ezekowitz RA. Distribution of murine mannose receptor expression from early embryogenesis through to adulthood. Cell Tissue Res. 1998;292:311–23.
Bouhlel MA, Derudas B, Rigamonti E, Dièvart R, Brozek J, et al. PPARgamma activation primes human monocytes into alternative M2 macrophages with anti-inflammatory properties. Cell Metab. 2007;6:137–43.
Finn AV, Nakano M, Polavarapu R, Karmali V, Saeed O, et al. Hemoglobin directs macrophage differentiation and prevents foam cell formation in human atherosclerotic plaques. J Am Coll Cardiol. 2012;59:166–77.
Stöger JL, Gijbels MJ, van der Velden S, Manca M, van der Loos CM, et al. Distribution of macrophage polarization markers in human atherosclerosis. Atherosclerosis. 2012;225:461–8.
Finn AV, Saeed O, Virmani R. Macrophage subsets in human atherosclerosis. Circ Res. 2012;110(9):e64.
Chinetti-Gbaguidi G, Staels B. Response to the letter by Finn et al. Circ Res. 2012;110(9):e65–6.
Mauriello A, Servadei F, Sangiorgi G, Anemona L, Giacobbi E, et al. Asymptomatic carotid plaque rupture with unexpected thrombosis over a non-canonical vulnerable lesion. Atherosclerosis. 2011;218:356–62.
Tahara N, Mukherjee J, de Haas HJ, Petrov AD, Tawakol A, et al. 2-deoxy-2-[18F]fluoro-D-mannose positron emission tomography imaging in atherosclerosis. Nat Med. 2014;20:215–9.
Tziakas DN, Lazarides MK, Tentes IK, Georgiadis GS, Eleftheriadou E, et al. Gelatinases [matrix metalloproteinase-2 (MMP-2) and MMP-9] induce carotid plaque instability but their systemic levels are not predictive of local events. Ann Vasc Surg. 2005;19:529–33.
Jager NA, Wallis de Vries BM, Hillebrands JL, Harlaar NJ, Tio RA, et al. Distribution of matrix metalloproteinases in human atherosclerotic carotid plaques and their production by smooth muscle cells and macrophage subsets. Mol Imaging Biol. 2016;18:283–91.
Heo SH, Cho CH, Kim HO, Jo YH, Yoon KS, et al. Plaque rupture is a determinant of vascular events in carotid artery atherosclerotic disease: involvement of matrix metalloproteinases 2 and 9. J Clin Neurol. 2011;7:69–76.
Sapienza P, di Marzo L, Borrelli V, Sterpetti AV, Mingoli A, et al. Basic fibroblast growth factor mediates carotid plaque instability through metalloproteinase-2 and -9 expression. Eur J Vasc Endovasc Surg. 2004;28:89–97.
Gleissner CA, Shaked I, Little KM, Ley K. CXC chemokine ligand 4 induces a unique transcriptome in monocyte-derived macrophages. J Immunol. 2010;184:4810–8.
Erbel C, Tyka M, Helmes CM, Akhavanpoor M, Rupp G, et al. CXCL4-induced plaque macrophages can be specifically identified by co-expression of MMP7 + S100A8 +in vitro and in vivo. Innate Immun. 2015;21:255–65.
Gleissner CA. Macrophage phenotype modulation by CXCL4 in atherosclerosis. Front Physiol. 2012;3:1.
Bala G, Baudhuin H, Remory I, Gillis K, Debie P, et al. Evaluation of [99mTc]radiolabeled macrophage mannose receptor-specific Nanobodies for targeting of atherosclerotic lesions in mice. Mol Imaging Biol. 2018;20:260–7.
Chwartz CJ, Mitchell JR. Cellular infiltration of the human arterial adventitia associated with atheromatous plaques. Circulation. 1962;26:73–8.
Kim EJ, Kim S, Seo HS, Lee YJ, Eo JS, et al. Novel PET imaging of atherosclerosis with 68Ga-labeled NOTA-neomannosylated human serum albumin. J Nucl Med. 2016;57:1792–7.
Varasteh Z, Hyafil F, Anizan N, Diallo D, Aid-Launais R, et al. Targeting mannose receptor expression on macrophages in atherosclerotic plaques of apolipoprotein E-knockout mice using 111In-tilmanocept. EJNMMI-Res. 2017;7:40.
Senders ML, Hernot S, Carlucci G, van de Voort JC, Fay F, et al. Nanobody-facilitated multiparametric PET/MRI phenotyping of atherosclerosis. JACC Cardiovasc Imaging. 2018. https://doi.org/10.1016/j.jcmg.2018.07.027.
The authors thank Sybille Reder, Markus Mittelhäuser and Birgit Blechert for technical PET/CT and cell-lab assistance.
The research leading to these results has received funding from the European Union Seventh Framework Program (FP7): 294582 ERC Grant MUMI, Deutsches Zentrum für Herz-Kreislaufforschung (DZHK): 81Z6600661, Deutsche Forschungsgemeinschaft (DFG): HA 1083/15-4 and MO 3054/1-1. This work was supported by the Research Foundation Flanders, Belgium (FWO G005815 N)
Availability of data and materials
All data generated or analysed during this study are included in this published article.
Ethics approval and consent to participate
Experiments were approved by the local animal care committee and were in accordance with the German Animal Welfare Act (Approval 55.2–1-54-2532-29-17).
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Varasteh, Z., Mohanta, S., Li, Y. et al. Targeting mannose receptor expression on macrophages in atherosclerotic plaques of apolipoprotein E-knockout mice using 68Ga-NOTA-anti-MMR nanobody: non-invasive imaging of atherosclerotic plaques. EJNMMI Res 9, 5 (2019) doi:10.1186/s13550-019-0474-0
- Atherosclerotic plaques
- Non-invasive imaging
- Alternatively differentiated macrophages
- Mannose receptor