Literature DB >> 31594443

Stimulation of Collateral Vessel Growth by Inhibition of Galectin 2 in Mice Using a Single-Domain Llama-Derived Antibody.

Maurits R Hollander1, Matthijs F Jansen1,2, Luuk H G A Hopman1, Edward Dolk3, Peter M van de Ven4, Paul Knaapen1, Anton J Horrevoets5, Esther Lutgens2,6, Niels van Royen1,7.   

Abstract

Background In the presence of arterial stenosis, collateral artery growth (arteriogenesis) can alleviate ischemia and preserve tissue function. In patients with poorly developed collateral arteries, Gal-2 (galectin 2) expression is increased. In vivo administration of Gal-2 inhibits arteriogenesis. Blocking of Gal-2 potentially stimulates arteriogenesis. This study aims to investigate the effect of Gal-2 inhibition on arteriogenesis and macrophage polarization using specific single-domain antibodies. Methods and Results Llamas were immunized with Gal-2 to develop anti-Gal-2 antibodies. Binding of Gal-2 to monocytes and binding inhibition of antibodies were quantified. To test arteriogenesis in vivo, Western diet-fed LDLR.(low-density lipoprotein receptor)-null Leiden mice underwent femoral artery ligation and received treatment with llama antibodies 2H8 or 2C10 or with vehicle. Perfusion restoration was measured with laser Doppler imaging. In the hind limb, arterioles and macrophage subtypes were characterized by histology, together with aortic atherosclerosis. Llama-derived antibodies 2H8 and 2C10 strongly inhibited the binding of Gal-2 to monocytes (93% and 99%, respectively). Treatment with these antibodies significantly increased perfusion restoration at 14 days (relative to sham, vehicle: 41.3±2.7%; 2H8: 53.1±3.4%, P=0.016; 2C10: 52.0±3.8%, P=0.049). In mice treated with 2H8 or 2C10, the mean arteriolar diameter was larger compared with control (vehicle: 17.25±4.97 μm; 2H8: 17.71±5.01 μm; 2C10: 17.84±4.98 μm; P<0.001). Perivascular macrophages showed a higher fraction of the M2 phenotype in both antibody-treated animals (vehicle: 0.49±0.24; 2H8: 0.73±0.15, P=0.007; 2C10: 0.75±0.18, P=0.006). In vitro antibody treatment decreased the expression of M1-associated cytokines compared with control (P<0.05 for each). Atherosclerotic lesion size was comparable between groups (overall P=0.59). Conclusions Inhibition of Gal-2 induces a proarteriogenic M2 phenotype in macrophages, improves collateral artery growth, and increases perfusion restoration in a murine hind limb model.

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Keywords:  antibody; collateral circulation; macrophage; murine model; perfusion defect

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Year:  2019        PMID: 31594443      PMCID: PMC6818022          DOI: 10.1161/JAHA.119.012806

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

The current study shows for the first time that inhibition of Gal‐2 (galectin 2) with an antibody stimulates arteriogenesis. No effects on atherosclerosis were observed.

What Are the Clinical Implications?

Although some patients naturally develop well‐functioning collaterals, the majority of patients show insufficient collateral flow in the presence a significant coronary stenosis. Stimulation of collateral vessel growth is a promising, adjunctive, pharmacological therapy for patients who are less suitable for invasive revascularization techniques, such as percutaneous coronary intervention.

Introduction

Severe atherosclerotic coronary stenosis limits blood flow to the downstream myocardium. This perfusion loss can be partly compensated via preexisting collateral arterioles that bypass the arterial stenosis. When needed, these collateral vessels can grow vastly in diameter, a process known as arteriogenesis.1 In patients with coronary artery disease, adequate arteriogenesis is strongly associated with less angina pectoris, less adverse remodeling after myocardial infarction, and lower mortality.2, 3, 4 The magnitude of the arteriogenic response varies greatly among individuals,2 and a large proportion of patients with coronary artery disease fail to develop sufficient collateral arteries (collateral flow index ≤0.25).5 Stimulation of arteriogenesis is a promising treatment option, especially when mechanical revascularization is not possible or is high risk. Why some patients show a poor arteriogenic response on arterial obstruction is not entirely understood, but certain patient characteristics are linked to poor collateral development. Female sex, diabetes mellitus, and metabolic syndrome, for instance, are associated with poor collateral development.6, 7, 8 On a cellular level, differences in circulating mononuclear cells—particularly monocytes and macrophages—play a role.9 Studies have shown that a large number of genes are upregulated in monocytes of patients with poorly developed collateral arteries, suggesting these genes inhibit vascular growth.10, 11 Gal‐2 (galectin 2) was found to be one of these inhibiting factors. Galectins are a family of β‐galactoside–specific lectins consisting of 15 different subtypes that play different roles in the immune system, inflammation, and wound healing.12 Gal‐2 is highly expressed in monocytes of patients with a poorly developed collateral network. In vitro, it was shown that costimulation with Gal‐2 inhibits monocyte migration and suppresses the proarteriogenic macrophage M2 phenotype.13 This antiarteriogenic effect of treatment with Gal‐2 was confirmed in vivo in a murine hind limb model.11 To date, the effects of inhibition of Gal‐2 remain undetermined. In the current study, we tested the hypothesis that inhibition of Gal‐2 would have a proarteriogenic effect. Furthermore, we investigated the effect of Gal‐2 inhibition in atherosclerosis. Because no functional Gal‐2–blocking antibodies are available, we developed antibodies against Gal‐2 by immunizing llamas. Unlike conventional antibodies, llama antibodies lack a light chain and consist only of the variable domains of heavy chains (VHHs). Consequently, VHHs consist of a single domain,14 which makes them more stable,15 better soluble,16 and easier to produce14 than common antibodies. The most potent antibodies were selected in vitro and subsequently tested in vivo in a murine model of combined atherosclerosis and arteriogenesis.17

Methods

The authors declare that all supporting data are available within the article.

Production of Recombinant Gal‐2

Human Gal‐2 (hGal‐2) and murine Gal‐2 (mGal‐2) were produced as described previously13 Briefly, the frames of recombinant hGal‐2 and mGal‐2 were synthesized and optimized for Escherichia coli codon usage (BaseClear). The sequences were subsequently cloned into the expression vector of a monomeric mutant of the galectin‐1 (N‐Gal‐1) of E coli BL21 (DE3) cells. After inducing hGal‐2 and mGal‐2 expression, the bacteria were lysed. Galectins were purified from the supernatant by affinity chromatography on Ni‐NTA agarose beads (Qiagen). Finally, the proteins were eluted from the beads and desalted using PD‐10 columns (GE Healthcare Life Sciences). Galectin purity was analyzed by SDS‐PAGE on a 15% polyacrylamide gel. After production and purification, Gal‐2 was stored at −80°C until further use.

Development of Anti–Gal‐2 VHH Antibodies

Llama immunization and VHH phage library construction

For the production of the single‐domain antibodies, 2 llamas were immunized with recombinant hGal‐2 and mGal‐2. Both animals were injected with immunogens (100 μg) at days 0, 14, 28, and 35. At days 0, 28, and 43, serum was collected and diluted 1000×, and antibody titers were determined using ELISA. At day 43, a blood sample (≈200 mL) was taken from each animal, and peripheral blood lymphocytes were collected. RNA was isolated and reverse transcribed into cDNA using the Superscript II Reverse Transcriptase Kit (Invitrogen), after which VHH genes were amplified with primers specific for the VHH genes, as previously described.18 The VHH genes were cut with Streptomyces fimbriatus restriction enzyme Sfi1 plus E coli restriction enzyme Eco91L and cloned into phagemid pUR8100, by transfection to E coli strain TG1. Recovered bacteria were serially diluted and spotted on LB agar plates supplemented with 2% w/v glucose and 100 μg/mL ampicillin in duplicate to determine the size of the libraries.

Phage selection

The E coli TG1–containing libraries were diluted from the glycerol stock up to an OD600 (optical density at 600nm) of 0.05 in 2× YT medium containing 2% w/v glucose and 100 μg/mL ampicillin, whereas the number of bacteria of the inoculum was 10× the library size (≈108 bacteria inoculum) and grown at 37°C for 2 hours. Subsequently, ≈7 mL of the cultures were infected with helper phage VCS‐M13 using a multiplicity of infection of 100 for 30 minutes at 37°C. TG1 bacteria were spun down and resuspended into 50 mL fresh 2× YT medium supplemented with both ampicillin (100 μg/mL) and kanamycin (25 μg/mL) and grown overnight at 37°C, on a shaker plate. Produced phages were precipitated from the supernatant of the cultures using polyethylene glycol GNaCl precipitation. The phages were used in the panning method directed toward cross‐reactive binders against mGal‐2 and hGal‐2 that could possibly compete for CD14 binding. MaxiSorp plates were coated with hGal‐2 or mGal‐2 at 2 concentrations (5 and 0.5 μg/mL) and blocked with 4% w/v Marvel in PBS for 30 minutes. After incubation of the phage library and extensive washing to remove unbound phages, the phages were eluted with a pH shock. Eluted phages were serially diluted and then used to infect TG1 cells and spotting on LB agar plates supplemented with 2% w/v glucose and 100 μg/mL ampicillin and incubated overnight at 37°C. Glycerol stock was prepared from all outputs rescued by infection of E coli TG1. Simultaneously, TG1 cultures infected with the output of the selection on 5 μg/mL hGal‐2 and mGal‐2 (highest coating) were used for phage production of both llama sublibraries to perform a second round of panning selection. To select for cross‐binding, the output phages from the first round on hGal‐2 were used for panning on mGal‐2 and vice versa. In addition to the pH shock for elution, bound phages were also eluted by incubation with PBS containing 5 μg/mL CD14. Eluted phages were serially diluted and then used to infect TG1 cells and spotted on LB agar plates supplemented with 2% w/v glucose and 100 μg/mL ampicillin, and then incubated overnight at 37°C to determine the enrichment of binding phages after the second round of selection. Simultaneously, TG1 cultures infected with the output of the different selection methods were used for picking monoclonal VHHs in 2 master plates containing a selection of 184 single clones (92 per llama).

Production of periplasmic fraction

The master plates were cultivated at 37°C for 3 hours, after which 1 mmol/L isopropyl β‐D‐1‐thiogalactopyranoside was added for VHH production. Periplasmic fractions were prepared by collecting the bacteria by centrifugation and resuspension into 120 μL PBS. After freezing, bacteria were thawed and centrifuged to separate the soluble periplasmic fraction containing the VHHs and cell debris.

Gal‐2 binding assay

To test the binding activity and cross‐reactivity of the VHHs to hGal‐2 and mGal‐2, 100 ng/well of each antigen was coated on a MaxiSorp plate overnight in PBS at 4°C. After washing of the wells and a blocking step using 2% milk powder (Marvel) in PBS, 25 μL of the periplasmic fractions in 100 μL 1% w/v marvel PBS were added to each well and incubated for 90 minutes. After washing, the VHHs were detected with an anti‐myelocytomatosis oncogene (monoclonal antibody 9E10) and a donkey antimouse IgG coupled to horseradish peroxidase. VHH binding was quantified by the colorimetric conversion of O‐phenylenediamine in the presence of H2O2.

Monocyte binding assay

To select periplasmic fractions for subcloning, a binding assay was performed in which the inhibitory effect on the binding of Gal‐2 to monocytes was quantified by flow cytometry. For this, galectins were labeled with biotin (Sigma‐Aldrich) in N‐hydroxysuccinimide solution (Sigma‐Aldrich). Biotinylated Gal‐2 was preincubated with VHHs diluted in PBS (50 μg/mL) for 30 minutes at room temperature. Subsequently wild‐type murine bone marrow was resuspended in PBS containing the preincubated Gal‐2 and VHHs and incubated for 60 minutes on ice. After washing, the cells were incubated with streptavidin–Alexa Fluor 488 (1:400; Invitrogen) for 30 minutes on ice. Background staining was determined by omitting the biotinylated Gal‐2. After washing, the cells were analyzed by flow cytometry using a Cyan ADP High Performance Research Flow Cytometer (Beckman Coulter). The data were analyzed using FlowJo software (Becton Dickinson). The monocyte subset was gated based on the forward/side scatter properties. After subcloning the VHHs, the monocyte binding assay was repeated to investigate the effect of the subcloning procedure on binding inhibition capacity of the antibodies.

Subcloning and production

Based on the results from the monocyte binding assays and binding specificity, 5 separate VHH clones were selected (1B11, 1C11, 2D8, 2H8, and 2C10). These 5 VHHs were subcloned into the pMEK222 E coli expression vector containing the FLAG‐His (histidine) tag, and the clones were sequenced to identify the sequence families of the different VHHs. Four different sequences were found, as 1B11 and 1C11 had an identical DNA sequence. The differences between the complementarity‐determining regions of the 4 clones indicate that they hit different epitopes on Gal‐2. VHHs were produced in large culture and purified using metal affinity chromatography (Talon; GE Healthcare Life Sciences). VHH proteins were analyzed on SDS‐PAGE for purity and integrity. All 4 VHHs were shown to be >90% pure and with proper integrity.

Murine Hind Limb Model

Animals

All animal procedures were approved by the Institutional Animal Experimental Ethics Committee and the Central Committee on Animal Experimentation and conform to the guidelines from Directive 2010/63/EU of the European Parliament. To study the growth of preexisting collateral arteries without inducing hypoxia, a murine hind limb model was used with a C57BL/6 mouse strain.19 In total, we used 64 C57Bl/6 LDLR−/− (low‐density lipoprotein receptor–null).Leiden mice20 (32 male, 32 female) aged 10 to 12 weeks (TNO Metabolic Health Research). All mice received a high‐fat “Western” diet (0.15% cholesterol and 16% fat; Altromin) for 8 weeks to induce an atherogenic phenotype.21 Six weeks after the start of the Western diet, the femoral artery was unilaterally ligated and animals received their allocated treatment.

Femoral artery ligation

The femoral artery was permanently ligated unilaterally, as described previously.22 In short, the mice were weighed and anesthetized by intraperitoneal injection of dexmedetomidine (1.0 mg/kg; Dexdomitor, Orion) and ketamine (70.0 mg/kg; Alfasan Pharma). Subsequently, both paws were depilated. The right femoral artery was carefully dissected from the femoral nerve and ligated with a double suture (Prolene, 7‐0 nonabsorbable; Ethicon). On the left hind limb, a sham operation was performed in which the femoral artery was dissected but not ligated. Finally, the skin was sutured (coated Vicryl, 7‐0; Ethicon), and anesthesia was antagonized with an intraperitoneal injection of atipamezole (0.5 mg/kg; Atipam, Orion). To minimize postsurgical pain, buprenorphine was administered subcutaneously (2.0 mg/kg; MSD Animal Health).

Treatment

Postoperatively, mice were treated for 2 weeks with antibody 2H8, antibody 2C10, or vehicle, in equally large groups and stratified by sex. Both antibodies are cross‐binding (murine and human) anti–Gal‐2 antibodies. Antibody treatment consisted of a charging dose directly after surgery, followed by a daily maintenance dose. Daily administration was chosen because of the relatively high blood clearance of VHHs.14 The charging dose consisted of either 0.51 mg purified 2H8 anti–Gal‐2 antibody or 0.51 mg purified 2C10 anti–Gal‐2 antibody, diluted in sterile saline solution. The maintenance dose consisted of 0.015 mg for both antibodies. Control mice received isovolumetric intraperitoneal injections of sterile 0.9% sodium chloride solution. All treatments were given intraperitoneal injections with extra‐thin needles to minimize injection trauma (Microfine, 29G; Becton Dickinson).

Laser Doppler perfusion imaging

The perfusion of both paws was quantified using a laser Doppler perfusion imager (Moor Industries). Animals were scanned before and after the surgical procedure and 2, 7, and 14 days after femoral artery ligation. Mice were anesthetized by intraperitoneal injection of dexmedetomidine (1.0 mg/kg; Orion) and ketamine (70.0 mg/kg; Alfasan Pharma). Animals were placed on a heating plate to minimize body temperature variation. All scans were performed in a sealed room with controlled, stable temperature and lighting. After scanning, anesthesia was antagonized with atipamezole (0.5 mg/kg; Orion). Dedicated software was used to calculate perfusion (MoorLDI software; Moor Instruments). To account for any variations that, despite precautions, could influence the measurements, the perfusion in the foot was expressed as a ratio of right (ligated) to left (sham) hind limb, as described previously.23

Histology

Fourteen days after the surgical procedure, the mice were euthanized by carbon dioxide inhalation, after which the adductor muscle and aortic roots were harvested to investigate arteriolar remodeling, macrophage characteristics, and atherosclerosis. Tissue was fixed in 4% formalin, embedded in paraffin, cut into sections (3 μm for muscle tissue, 4 μm for aortic tissue), and mounted on coated glass slides (Starfrost; Knittel). To analyze arteriolar remodeling, adductor muscle sections were deparaffinized, pretreated with heat‐induced epitope retrieval in TRIS‐EDTA buffer (pH 9.0), and incubated with an rabbit antimouse α‐SMA (α‐smooth muscle actin) antibody (1:200, 60 minutes at room temperature; ab32575, Abcam). As a secondary antibody a horseradish peroxidase–conjugated goat antirabbit antibody was used (1:100, 30 minutes at room temperature; p0448, Dako). Thereafter, DAB (3,3′‐diaminobenzidine) peroxidase was used as substrate, followed by a counterstaining using hematoxylin. Slides were automatically covered with the Tissue‐Tek Film Coverslipper (Sakura Finetek Europe) and scanned using the Panoramic DESK scanner (3DHistech). Vessel diameters were quantified with the use of dedicated image processing software (Panoramic Viewer [3DHistech] and ImageJ [National Institutes of Health]). Minimal vessel diameter was used to approximate true vessel diameter in obliquely cut vessels assuming vascular circularity. Arterioles were identified as SMA+ vessels with a diameter of 6 to 30 μm. To investigate the effect of treatment on perivascular macrophages, slides were pretreated with heat‐induced epitope retrieval and incubated with 10% normal goat serum (30 minutes at room temperature). Slides were incubated with an anti‐SMA antibody (as described) to identify arterioles, with an anti‐F4/80 antibody for the detection of macrophages (1:200, overnight at 4°C, rat antimouse F4/80 antibody; MCA497, Bio‐Rad), and with an anti‐MR (anti–mannose receptor) for the identification of M2 macrophages (1:50, 60 minutes at room temperature, rabbit antimouse MR; ab64693, Abcam). The following secondary antibodies were used: goat antirabbit Alexa 647 (SMA), goat antirat Alexa 555 (F4/80), and goat antirabbit Alexa 488 (MR). Cell nuclei were stained with DAPI (4′,6‐diamidino‐2‐phenylindole; 1:200 000, 10 minutes at room temperature; Invitrogen). Slides were covered as described earlier. For the quantification of macrophages, slides were analyzed with the Leica fluorescence microscope (DM6000; Leica Microsystems). For each mouse, 10 arterioles per hind limb were randomly selected and photographed (field size 224.3×167.54 μm). Per image, field macrophages (F4/80+) and M2 macrophages (F4/80+ and MR+) were counted and expressed as number per field. For the investigation of atherosclerotic plaque burden, the aortic root was cut and mounted as described earlier and set in an incubator at 60°C overnight. Ten consecutive slides with 40 μm in between were selected and subsequently deparaffinized automatically, stained (hematoxylin and eosin), and covered using the Tissue‐Tek Prisma and Film system (Sakura Finetek Europe). Slides were digitally scanned and analyzed as the arterial remodeling sections. Plaque area was identified based on morphologic characteristics. Atherosclerosis was defined as the mean total supravalvular atherosclerotic plaque area per slide. Quantification of all (immuno)histochemical analyses was performed in a blinded fashion.

Downstream signaling in effector cells

To gain mechanistic insight in the arteriogenic effect of anti–Gal‐2 treatment, the downstream effect of Gal‐2 on human and murine leukocytes cells was investigated, with or without the presence of the antibodies 2H8 and 2C10 or an irrelevant anti‐HIV VHH antibody, which served as a control. Murine effector cells were obtained from wild‐type murine isolated bone marrow, which was thawed, washed, and resuspended in PBS with 1% BSA and left to rest for 60 minutes at 4°C to limit early activation. After resting, the cells were suspended in DMEM containing 10% FCS, 1% penicillin–streptomycin, and polymyxin B (20 μg/mL) before plating in wells (100 000 cells/well). Wells were incubated for 3 hours at 37°C in medium only, mGal‐2, mGal‐2 with 2C10 antibody, mGal‐2 with 2H8 antibody, mGal‐2 with an irrelevant control VHH antibody, 2C10 antibody alone, 2H8 antibody alone, or control VHH antibody alone. Human monocytes were isolated from fresh peripheral blood using a 2‐step gradient isolation, as described previously.13 In short, peripheral blood mononuclear cells were isolated from whole blood from 2 anonymous healthy donors, using Ficoll density gradient (Lymphoprep; Axis Shield). After this, the monocytes were subsequently separated by a second gradient isolation, this time using a Percoll solution (GE Heathcare). After washing, cells were suspended in RPMI 1640 medium containing 10% heat‐inactivated FCS, 1% penicillin–streptomycin, and polymyxin B (20 μg/mL). Human monocytes were incubated for 3 hours at 37°C in medium only, hGal‐2, hGal‐2 with 2C10 antibody, hGal‐2 with 2H8 antibody, hGal‐2 with an irrelevant control VHH antibody, 2C10 antibody alone, 2H8 antibody alone, or control VHH antibody alone. After the incubation period, the cells were collected and RNA was isolated, according to the manufacturer's instructions (High Pure Isolation Kit; Roche). In addition, cDNA was synthesized using the Thermo Fisher High‐Capacity cDNA Reverse Transcription Kit, according to the manufacturer's instructions. Nucleic acid concentrations were measured with a Nanodrop ND‐1000 spectrophotometer. Quantitative real‐time polymerase chain reaction (PCR) was carried out using the following primers: IFN‐β (interferon β), IL6 (interleukin 6), and TNF (tumor necrosis factor); GAPDH was used as a reference gene (Table S1). In summary, 2 μL of diluted cDNA was mixed in triplicate with 300 nmol/L SYBR Green Fast Mix (Invitrogen Life Technologies) and 300 nmol/L of each primer. Quantitative PCR was performed on the ViiA 7 Real‐Time PCR system (Thermo Fisher). Per incubation sample, all target gene expression levels related to the reference gene GAPDH. All quantitative PCR analyses were repeated 2 times (3 in total). Data were analyzed with dedicated PCR software24 (LinRegPCR, v2016; Amsterdam University Medical Center, Heart Failure Research Center). Expression levels are displayed as a fold increase compared with the control sample incubated with medium only.

Statistical Analysis

Normality of continuous variables was tested by means of Shapiro–Wilk test. Normally distributed data are displayed as mean±SD. For the perfusion restoration analysis, the overall treatment effect was calculated with a repeated‐measures ANOVA; for post hoc analysis, a 2‐sided Dunnett test was used. Perfusion restoration analysis per time point was calculated with a mixed model, using time, treatment, and the interaction of time and treatment as the input. Time was considered a categorical variable. Only mouse identification number was considered random. For the histological analyses between treatment groups, ANOVA was used (P‐trend for all groups). When statistically significant, a 2‐sided Dunnett test for post hoc analysis was used comparing the antibody groups to control. Effects between antibody groups were compared using a Bonferroni post hoc test. For the comparison between sham and ligated hind limb, a Student t test was used. Arteriolar remodeling analysis was performed on a per‐vessel basis. For the statistical analysis of expression levels, ANOVA was used with the irrelevant VHH‐treated samples as control. Statistical analysis was performed using SPSS software (IBM SPSS Statistics 20; IBM Corp). P<0.05 was considered statistically significant.

Results

Development of Single‐Domain Antibodies Against Gal‐2

Both llamas showed clear immune responses to both hGal‐2 and mGal‐2 with maximum titers at days 28 and 43 (Figure 1). After RNA extraction and subcloning, the libraries consisted of 4.8×107 and 1.6×107 transformants in llama A and llama B respectively. Isolation of antibodies that cross‐react with both mGal‐2 and hGal‐2 and that compete with CD14 binding yielded 184 antibody candidates.
Figure 1

Llama immune response. Antibody titers of both immunized llamas to recombinant mGal‐2 (A) and recombinant hGal‐2 (B), measured in the sera collected on days 0, 28, and 43 of the immunization period. Serum is diluted 1000× before measurement. hGAL‐2 indicates human galectin 2; mGal‐2, murine galectin 2.

Llama immune response. Antibody titers of both immunized llamas to recombinant mGal‐2 (A) and recombinant hGal‐2 (B), measured in the sera collected on days 0, 28, and 43 of the immunization period. Serum is diluted 1000× before measurement. hGAL‐2 indicates human galectin 2; mGal‐2, murine galectin 2.

Binding Specificity of VHHs

The ELISA binding assay revealed that the VHHs originating from one of the 2 llamas did not show detectable binding to both antigens (data not shown). From the 92 preselected clones of the other llama, 41 antibodies showed sufficient binding to hGal‐2 and/or mGal‐2. Thirty‐one VHHs showed cross‐binding to both hGal‐2 and mGal‐2. Five VHHs were specifically bound to hGal‐2, and 5 VHHs were specific to mGal‐2 (Table S2).

Inhibition of Binding of Gal‐2 to Monocytes

Based on the ELISA signals, 41 periplasmic fraction VHHs were tested for their capacity to inhibit the binding of Gal‐2 to murine monocytes. Twenty‐eight (68%) of the 41 tested VHHs inhibited the binding of Gal‐2 to monocytes compared with unconstrained stimulation with Gal‐2. Maximal inhibition was achieved with VHH 2C10, which reduced the inhibition of Gal‐2 to murine monocytes by 77% (Figure 2A).
Figure 2

Inhibition of binding of Gal‐2 (galectin 2) to murine monocytes by single‐domain antibodies. Binding of labeled Gal‐2 to murine monocytes, analyzed by flow cytometry, and the influence of single‐domain antibodies (VHHs). A, Cells (105 cells/well) were incubated with either Gal‐2 alone (no VHH), Gal‐2 with 1 of the 41 selected periplasmic fraction VHHs, or without any addition (−). B, Cells were incubated with no addition, Gal‐2 alone (gray bars), or Gal‐2 with 2H8, 1C11, 2C10, or 2D8. VHH indicates variable domain of heavy chains.

Inhibition of binding of Gal‐2 (galectin 2) to murine monocytes by single‐domain antibodies. Binding of labeled Gal‐2 to murine monocytes, analyzed by flow cytometry, and the influence of single‐domain antibodies (VHHs). A, Cells (105 cells/well) were incubated with either Gal‐2 alone (no VHH), Gal‐2 with 1 of the 41 selected periplasmic fraction VHHs, or without any addition (−). B, Cells were incubated with no addition, Gal‐2 alone (gray bars), or Gal‐2 with 2H8, 1C11, 2C10, or 2D8. VHH indicates variable domain of heavy chains. Based on these results and binding specificity, the 5 most potent VHH clones were selected for further subcloning and production. Of these 5 VHHs, 1 was human specific (2D8), 2 were mouse specific (1B11 and 1C11), and 2 were cross‐binding (2H8 and 2C10). After subcloning the periplasmic VHH fractions into the pMEK222 E coli expression vector, DNA sequencing revealed that 2 clones (1C11 and 1B11) had identical protein sequences, leaving 4 unique clones suitable for further processing (2H8, 2C10, 1C11, and 2D8). After production and purification, all 4 VHHs showed excellent purity (Figure S1) and no alterations in binding specificity (data not shown). The 4 subcloned VHHs were also tested for their inhibitory effect on the binding of Gal‐2 on murine monocytes. All 4 subcloned VHHs retained their capacity to inhibit the binding of mGal‐2 to murine monocytes. Moreover, VHHs 2H8, 1C11, and 2C10 showed increased binding inhibition of Gal‐2 compared with prior subcloning, production, and purification (Figure 2B). Based on binding specificity, cross‐binding VHHs 2H8 and 2C10 were selected for the consecutive in vivo experiments.

Gal‐2 Inhibition Restores Hind Limb Perfusion

Sixty‐four animals underwent femoral artery ligation, and no complications occurred during surgery. In the period following the ligation procedure, 11 animals died. Two animals in the 2C10 group died because of defective cage‐heating equipment. Based on humane end points, 3 animals were euthanized prematurely. The other animals died spontaneously; in these animals, macroscopic autopsy did not reveal any causes of death related to the surgical procure. Premature death occurred at equal rates in the control group (n=7, 22%) and among mice treated with 2C10 (n=2, 14%) or 2H8 (n=2, 14%; P=0.69 for trend between groups). Directly after surgery, hind limb perfusion at the ligated side was 16.2% on average compared with the nonligated paw, and this result did not differ between groups (P=0.68). In the 2 weeks after surgery, hind limb perfusion was restored significantly over time in all groups (repeated‐measures ANOVA: F[3,42]=54.2, P<0.0001). Fourteen days after femoral artery ligation, both 2C10‐ and 2H8‐treated animals had higher hind limb perfusion compared with control (control: 41.3±2.7%, n=25; 2H8: 53.1±3.4%, n=14, P=0.016; 2C10: 52.0±3.8%, n=11, P=0.049; Figure 3). Perfusion data of other time points are displayed in Table 1.
Figure 3

Perfusion restoration. Restoration of hind limb perfusion after femoral artery ligation. Perfusion was quantified noninvasively by laser Doppler perfusion imaging (A). Measurements were taken postoperatively (post‐op) and 2, 7, and 14 days after femoral artery ligation. Restoration of hind limb perfusion was significantly increased in animals treated with either 2H8 (n=14) or 2C10 (n=14) compared with control (n=25) (B). Repeated‐measures ANOVA (RM‐ANOVA) was used for overall analysis; a mixed model using time and treatment as input was used for time point analysis.

Table 1

Hind Limb Perfusion Restoration Over Time

Time PointControl2H8 P Valuea 2C10 P Valuea
Postop (T=0)14.5±2.315.8±3.21.0017.8±3.20.82
T=223.4±2.626.0±3.21.0027.2±3.70.81
T=737.9±2.646.3±3.30.1042.9±3.80.56
T=1441.3±2.753.1±3.40.02b 52.0±3.80.049b

Data are presented as the ratio of perfusion of the ligated side to the perfusion of the sham side (%). Postop indicates directly after femoral artery ligation; T, time.

P values represent the differences between the antibody treatment and control.

p < 0.05 was considered statistically significant.

Perfusion restoration. Restoration of hind limb perfusion after femoral artery ligation. Perfusion was quantified noninvasively by laser Doppler perfusion imaging (A). Measurements were taken postoperatively (post‐op) and 2, 7, and 14 days after femoral artery ligation. Restoration of hind limb perfusion was significantly increased in animals treated with either 2H8 (n=14) or 2C10 (n=14) compared with control (n=25) (B). Repeated‐measures ANOVA (RM‐ANOVA) was used for overall analysis; a mixed model using time and treatment as input was used for time point analysis. Hind Limb Perfusion Restoration Over Time Data are presented as the ratio of perfusion of the ligated side to the perfusion of the sham side (%). Postop indicates directly after femoral artery ligation; T, time. P values represent the differences between the antibody treatment and control. p < 0.05 was considered statistically significant.

Gal‐2 Inhibition Promotes Collateral Artery Remodeling

Hind limb tissue was collected from 37 animals 2 weeks after the surgical procedure for histological analysis. To investigate the etiology of the perfusion restoration, we quantified the arteriolar diameters in the hind limbs. Arteriolar diameters in the ligated limb significantly differed between groups (ANOVA, P<0.0001). The mean diameter in the control group (17.25±4.97 μm, n=10) was lower than those in both the 2H8 group (17.71±5.01 μm, n=14; P<0.0001) and the 2C10 group (17.84±4.98 μm, n=11; P<0.001). Vessel diameters were comparable between the 2H8 and 2C10 groups (P=0.65). In the sham‐operated hind limb, arterial vessel diameters did not differ between groups (ANOVA, P=0.10; control: 17.29±5.12; 2H8: 17.53±4.96; 2C10: 17.46±4.98). In all treatment groups, the arteriolar diameter was significantly different between sham and ligation (P>0.001 in all groups; Table 2).
Table 2

Arteriolar Remodeling

TreatmentLigationSham P Value of Difference Between Ligation and Sham Per Treatment Group
Mean Arteriolar Diameter (μm)Significance Between GroupsMean Arteriolar Diameter (μm)Significance Between Groups
P‐Trenda <0.001 P‐Trend 0.10b
Control17.3±5.0···17.3±5.1NAb <0.001
2H817.7±5.0vs control: <0.00117.5±5.0NAb <0.001
2C1017.8±5.0 vs control: <0.001 vs 2H8: 0.65 17.5±5.0NAb <0.001

NA indicates not applicable.

P value for trend across treatment groups and post hoc analysis using Bonferroni correction.

No post hoc analyses were conducted because the significance level for P‐trend was not met.

Arteriolar Remodeling NA indicates not applicable. P value for trend across treatment groups and post hoc analysis using Bonferroni correction. No post hoc analyses were conducted because the significance level for P‐trend was not met.

Perivascular macrophage characterization

Quantification of the macrophages in the ligated hind limbs (Figure 4A–4E) revealed that antibody‐treated animals had similar mean numbers of perivascular macrophages compared with control (ANOVA, P=0.25; control: 0.81±0.57, n=10; 2H8 [1.19±0.60, n=14] versus control, P=0.19; 2C10 [0.92±0.54, n=11] versus control, P=0.86). The mean number of perivascular macrophages did not differ between 2H8‐ and 2C10‐treated animals (P=0.77; Figure 4F). Immunohistological characterization showed that the perivascular macrophages of antibody‐treated mice consisted of a significantly larger fraction of M2 macrophages compared with control (ANOVA P=0.004; control: 0.49±0.24; 2H8 [0.73±0.15] versus control, P=0.007; 2C10 [0.75±0.18] versus control, P=0.006; Figure 4G). The fractions of M2 macrophages were similar between both antibody groups (P=1.00). In the left hind limb, where a sham procedure was performed, mean numbers of perivascular macrophages and M2 macrophage fractions were similar in all 3 groups (control [0.78±0.42], 2H8 [1.09±0.90], and 2C10 [1.08±0.69], ANOVA P=0.49; M2 fraction: control [0.33±0.26], 2H8 [0.48±0.27], and 2C10L [0.44±0.17], ANOVA P=0.25). Notably, only in the antibody‐treated groups did the macrophage characteristics differ between sham and ligated hind limbs (Figure 4G).
Figure 4

Perivascular macrophage characteristics. Analysis of perivascular macrophage characteristics by quadruple fluorescent immunohistochemistry. A–E, A typical example of an a arteriole with perivascular macrophages, stained for the pan‐macrophage marker F4/80 (A), cell nuclei (B), SMA (smooth muscle actin; C), and M2 marker mannose receptor (D). E, Merged image. Total number of macrophages (F) and fraction of M2 macrophages (G) were quantified. Animals used: control, n=10; 2C10, n=11; 2H8, n=14. ANOVA plus Dunnett test was used for analysis.

Perivascular macrophage characteristics. Analysis of perivascular macrophage characteristics by quadruple fluorescent immunohistochemistry. A–E, A typical example of an a arteriole with perivascular macrophages, stained for the pan‐macrophage marker F4/80 (A), cell nuclei (B), SMA (smooth muscle actin; C), and M2 marker mannose receptor (D). E, Merged image. Total number of macrophages (F) and fraction of M2 macrophages (G) were quantified. Animals used: control, n=10; 2C10, n=11; 2H8, n=14. ANOVA plus Dunnett test was used for analysis.

Atherosclerosis

Supravalvular atherosclerotic plaque was visible in all investigated animals (n=34) and showed a xanthomatous morphology consisting of predominantly foam cells (Figure 5A). After 8 weeks of Western diet, the total plaque area in the control group was 4.41×104±2.8×104 (n=10). Treatment with 2H8 or 2C10 did not affect plaque area (2H8: 4.6×104±2.3×104 μm2, n=11; 2C10: 3.7×104±1.4×104 μm2, n=13; between groups P=0.67; Figure 5B). No evidence of plaque rupture was seen in any animals.
Figure 5

Atherosclerosis. Anti–Gal‐2 treatment does not affect atherosclerosis. A, Representative microscopic images of hematoxylin and eosin–stained aortic root sections of Western diet–fed LDLR−/−.Leiden mice: control, n=10; 2C10, n=13; 2H8, n=11. Magnification ×9. B, Plaque area in the aortic root of animals treated with control, 2H8, or 2C10 was comparable between groups using ANOVA. Gal‐2 indicates galectin 2; LDLR−/−, low‐density lipoprotein receptor–null.

Atherosclerosis. Anti–Gal‐2 treatment does not affect atherosclerosis. A, Representative microscopic images of hematoxylin and eosin–stained aortic root sections of Western diet–fed LDLR−/−.Leiden mice: control, n=10; 2C10, n=13; 2H8, n=11. Magnification ×9. B, Plaque area in the aortic root of animals treated with control, 2H8, or 2C10 was comparable between groups using ANOVA. Gal‐2 indicates galectin 2; LDLR−/−, low‐density lipoprotein receptor–null.

RNA Expression of Gal‐2–Induced Genes

To confirm the findings of the macrophage polarization analysis from the in vivo experiments and to further investigate the mechanism behind the polarizing effect, we performed a functional mRNA assay on both murine and human cells, using the M1‐phenotype markers INF‐β, IL6, and TNF‐α.25 After stimulation with either hGal‐2 of mGal‐2, the expression of these genes was strongly increased compared with stimulation with medium only. This upregulation was significantly reduced after the addition of either 2H8 or 2C10 to murine bone marrow–derived cells (Figure 6A–6C). An identical effect was demonstrated in isolated human monocytes, indicating that the antibody treatment directly affects these cells (Figure 6D–6F).
Figure 6

Gal‐2–induced RNA‐expression. RNA expression levels of murine isolated bone marrow effector cells (A–C) and human isolated monocytes (D–F). Cells (100 000 cells/well) were stimulated for 3 hours with medium only (calibrator sample, not shown), Gal‐2, Gal‐2 with 2C10 antibody, Gal‐2 with 2H8 antibody, Gal‐2 with an irrelevant control single‐domain antibody (control VHH), 2C10 antibody alone, 2H8 antibody alone, or control VHH antibody alone. After stimulation, RNA expression of M1‐associated genes IFN‐β (interferon β; A and D), IL6 (interleukin 6; B and E), and TNF‐α (tumor necrosis factor α; C and F) were quantified. Expression is displayed as fold increase to the calibrator sample (medium only) and relative to reference gene . All experiments were executed in triplicate. Trend analysis was performed separately for samples stimulated with and without Gal‐2. Post hoc analysis was performed with a Dunnett test using the control VHH samples as the reference group. Gal‐2 indicates galectin 2; hGAL‐2, human galectin 2; IFN‐β, interferon β; IL6, interleukin 6; mGal‐2, murine galectin 2; TNF‐α, tumor necrosis factor‐α; VHH, variable domain of heavy chains.

Gal‐2–induced RNA‐expression. RNA expression levels of murine isolated bone marrow effector cells (A–C) and human isolated monocytes (D–F). Cells (100 000 cells/well) were stimulated for 3 hours with medium only (calibrator sample, not shown), Gal‐2, Gal‐2 with 2C10 antibody, Gal‐2 with 2H8 antibody, Gal‐2 with an irrelevant control single‐domain antibody (control VHH), 2C10 antibody alone, 2H8 antibody alone, or control VHH antibody alone. After stimulation, RNA expression of M1‐associated genes IFN‐β (interferon β; A and D), IL6 (interleukin 6; B and E), and TNF‐α (tumor necrosis factor α; C and F) were quantified. Expression is displayed as fold increase to the calibrator sample (medium only) and relative to reference gene . All experiments were executed in triplicate. Trend analysis was performed separately for samples stimulated with and without Gal‐2. Post hoc analysis was performed with a Dunnett test using the control VHH samples as the reference group. Gal‐2 indicates galectin 2; hGAL‐2, human galectin 2; IFN‐β, interferon β; IL6, interleukin 6; mGal‐2, murine galectin 2; TNF‐α, tumor necrosis factor‐α; VHH, variable domain of heavy chains.

Discussion

In this study, we developed new single‐domain antibodies against Gal‐2 and investigated their effects in vitro on monocyte binding and in vivo on arteriogenesis and atherosclerosis. We show that both single‐domain antibodies 2H8 and 2C10 strongly inhibit the binding of Gal‐2 to monocytes in vitro and that treatment with these antibodies stimulates arteriogenesis in a murine hind limb model. This effect was related to an increase of perivascular M2 macrophages. The quantity of perivascular macrophages was not affected, suggesting that anti–Gal‐2 does not attract more macrophages but rather causes a shift toward a proarteriogenic phenotype. In similar fashion, both VHH antibodies decrease the expression of Gal‐2–induced proinflammatory and M1‐associated cytokines. No effects on atherosclerosis were observed. Gal‐2 is expressed by inflammatory cells, such as lymphocytes26, 27 and monocytes.11, 13 Previously we demonstrated that monocytes of patients with poor collateral artery growth show increased levels of Gal‐2,11 which could be attributed to genomic variations. The antiarteriogenic properties of Gal‐2 were subsequently confirmed in a murine hind limb model11 and could be ascribed to a macrophage shift toward the proinflammatory M1 phenotype.13 Consequently, we hypothesized that inhibition of Gal‐2 would stimulate collateral artery growth and polarize macrophages into a proarteriogenic M2 phenotype. Because Gal‐2 acts mainly by the binding to the cell surface of monocytes,13, 28 we postulated that antibodies inhibiting Gal‐2 binding to monocytes could limit the downstream effects of Gal‐2. To test this, and because of the unavailability of blocking antibodies against Gal‐2, we developed single‐domain antibodies by immunizing llamas. These antibodies lack a light chain, as seen in conventional antibodies, and thus consist only of the VHHs (or VHH antibodies). This structural alteration strongly limits the molecular size of VHHs without compromising antigen specificity and affinity.29 In addition, VHHs can resist low‐pH conditions,29 which possibly enables oral application and distinguishes VHHs from conventional antibodies. In our study we used intraperitoneal rather than oral administration to achieve equal dosage between mice. Moreover, injections were done daily to compensate for the relatively high clearance of VHHs.14 However, proper antigen affinity is paramount for in vivo effects; therefore, we selected only those antibodies that showed the highest affinity for mGal‐2 and hGal‐2. Furthermore, we investigated binding inhibition on monocytes because they play a key role in collateral vessel growth.9 After an increase in shear stress, the activated endothelium of collateral vessels attracts monocytes, which migrate into the perivascular space, where they become macrophages.30 Here macrophages produce several growth factors, such as granulocyte‐macrophage colony‐stimulating factor (GM‐CSF),31 monocyte chemoattractant protein 1 (MCP‐1)32 and placental growth factor (PGF),33 all of which have proarteriogenic effects, mostly by attracting and activating monocytes and macrophages. Data from our flow cytometry analyses show that the 3 antibodies with the highest affinity inhibit the binding of Gal‐2 to monocytes by ≈90%. This significantly reduces the expression of Gal‐2–related downstream genes, which are all characteristic for the proinflammatory M1 phenotype and are associated with poor arteriogenesis. Conversely, M2 macrophages are associated with improved collateral artery growth34 and postischemic tissue repair.35 Adjusting the balance between M1 and M2 is an interesting target for arteriogenic therapy. In a murine prolyl hydroxylase domain‐containing protein 2 (PHD2) knockout model, skewing macrophages into an M2 phenotype increased collateral vessel growth and prevented ischemia.36 In addition, local administration with endogenous M2 macrophages increases arteriogenesis in mice.37 Gal‐2 skews macrophages into the M1 phenotype13 and inhibits arteriogenesis.11 In this study we showed that treatment with anti–Gal‐2 antibodies skewed macrophages into the M2 phenotype, which resulted in an increased arteriogenic response on femoral artery ligation. Macrophage polarization is also influenced by another galectin family member, Gal‐3, which influences macrophage activation,38, 39 Interestingly, Gal‐3 expression is increased in M2 macrophages, unlike Gal‐2, which skews macrophages to the M2 phenotype. This opposite effect can perhaps be explained by different binding mechanisms of Gal‐3 and Gal‐2.40 Data on the role of Gal‐3 on collateral artery growth are lacking. Current research is focused on Gal‐2 for the stimulation of arteriogenesis, based on whole‐genome analysis of patients with poor‐ and well‐developed collateral arteries11 that explicitly shows a role for Gal‐2. A problem of proarteriogenic therapy is the simultaneous stimulation of atherosclerosis. Previous studies have shown that proarteriogenic compounds also can induce progression of plaque formation,41, 42, 43 antagonizing their beneficial effects. However, the anti‐inflammatory characteristics of M2 macrophages have been linked to increased plaque stability.44, 45 In the current study, which uses hypercholesterolemic, Western diet–fed LDLR−/−.Leiden mice,20 no change in atherosclerotic plaque area following anti–Gal‐2 treatment could be demonstrated. It must be noted that a 2‐week treatment is relatively short to reveal any effect on atherosclerosis, but plaque area was not our primary end point in this proof‐of‐principle study. The perfusion data from our study also show in the control animals that perfusion restoration ceases to continue after 7 days, whereas perfusion restoration in the anti–Gal‐2–treated animals progresses beyond 1 week. The halted perfusion restoration could be a result of the increased levels of M1 macrophages, which in turn could be attributed to the hypercholesterolemia46 of these Western diet–fed LDLR−/−.Leiden mice.20, 47 It should be noted that patients who would benefit from collateral‐stimulating therapies typically have atherosclerotic disease. Moreover, patients with poorly developed collateral circulation particularly show increased levels of M1‐associated cytokines10, 48 and thus could benefit from anti–Gal‐2 therapy. In the antibody‐treated animals, perfusion continued to restore, suggesting that collateral arteries were still actively developing at the time of tissue harvesting, which is in line with the difference in M2 macrophages. This result is further validated by our in vitro data showing that anti–Gal‐2 antibodies strongly decrease M1‐associated cytokine production, a finding in line with previous results.13 This study has some limitations. First, we did not use an irrelevant VHH as a control in the in vivo experiments. The control we used in the in vitro experiments was a specific anti‐HIV VHH, for which the in vivo effect was unclear. Consequently, we used only the vehicle of the VHHs as a control to equalize the effect of the injections between all groups. Moreover, data from the functional mRNA assay (Figure 6) showed that treatment with the control VHH had no effect on cytokine expression, indicating that the effects of antibodies 2H8 and 2C10 were specific for anti–Gal‐2 inhibition. Second, we calculated the treatment dosage of the VHH antibodies for the in vivo experiments based on previous experiments with a conventional monoclonal antibody.22 We corrected for molecular weight and administered the in vivo VHH treatment daily; however, because of high renal clearance, we assumed the blocking capacity would be comparable to conventional antibodies. The latter is in strengthened by >90% monocyte binding inhibition, as shown in vitro. Third, only mRNA analyses were performed to study downstream effects. Although protein assays would be insightful, available tissue quantity did not allow for both assays. The mRNA measurements were preferred over protein data, given the more quantitative nature. Finally, the follow‐up period is relatively short, which limits the investigation of long‐term effects. Although this study is a proof‐of‐principle for the arteriogenic effect of anti–Gal‐2 treatment, data from Table 2 show that the difference in perfusion restoration between the antibody groups and control is larger at 14 days than at 1 week, suggesting that treatment effect is progressive over time. From a clinical perspective, it would be interesting to determine the posttreatment stability of the enhanced collateral circulation. Although there are no data on pharmacologically induced arteriogenesis, studies in patients with peripheral artery disease show that a period of physical exercise has a persistent, long‐term effect, even after the training program has ended.49, 50 This finding suggests that collateral arteries, once well developed, have a lasting effect. The long‐term effects of anti–Gal‐2 treatment, including on atherosclerosis, are outside the scope of the current article. In conclusion, this report is the first on the use of llama‐derived single‐domain antibodies to stimulate arteriogenesis. Anti–Gal‐2 treatment increases perfusion restoration on femoral artery ligation in a murine model. This is accompanied by an increase in the fraction of proarteriogenic M2 macrophages. No effects on atherosclerosis were observed.

Sources of Funding

The current study was completely funded by the VU University Medical Center and the Academic Medical Center, both located in Amsterdam, The Netherlands.

Disclosures

None. Table S1. Oligonucleotides Used for Quantitative Real‐Time Polymerase Chain Reaction Table S2. ELISA Binding Assay of Single‐Domain Antibodies With Human and Murine Gal‐2 (Galectin 2) Figure S1. Single‐domain antibody purity after subcloning. Click here for additional data file.
  51 in total

1.  Impact of mouse strain differences in innate hindlimb collateral vasculature.

Authors:  Armin Helisch; Shawn Wagner; Nadeem Khan; Mary Drinane; Swen Wolfram; Matthias Heil; Tibor Ziegelhoeffer; Ulrike Brandt; Justin D Pearlman; Harold M Swartz; Wolfgang Schaper
Journal:  Arterioscler Thromb Vasc Biol       Date:  2006-01-05       Impact factor: 8.311

2.  MAb therapy against the IFN-α/β receptor subunit 1 stimulates arteriogenesis in a murine hindlimb ischaemia model without enhancing atherosclerotic burden.

Authors:  Paul F A Teunissen; Marieke C Boshuizen; Maurits R Hollander; Paul S Biesbroek; Nina W van der Hoeven; Jan-Quinten Mol; Marion J Gijbels; Saskia van der Velden; Tineke C van der Pouw Kraan; Anton J Horrevoets; Menno P de Winther; Niels van Royen
Journal:  Cardiovasc Res       Date:  2015-05-01       Impact factor: 10.787

3.  Evaluation of qPCR curve analysis methods for reliable biomarker discovery: bias, resolution, precision, and implications.

Authors:  Jan M Ruijter; Michael W Pfaffl; Sheng Zhao; Andrej N Spiess; Gregory Boggy; Jochen Blom; Robert G Rutledge; Davide Sisti; Antoon Lievens; Katleen De Preter; Stefaan Derveaux; Jan Hellemans; Jo Vandesompele
Journal:  Methods       Date:  2012-09-03       Impact factor: 3.608

4.  The temporal and spatial distribution of macrophage subpopulations during arteriogenesis.

Authors:  C Troidl; G Jung; K Troidl; J Hoffmann; H Mollmann; H Nef; W Schaper; C W Hamm; T Schmitz-Rixen
Journal:  Curr Vasc Pharmacol       Date:  2013-01       Impact factor: 2.719

5.  Macrophage skewing by Phd2 haplodeficiency prevents ischaemia by inducing arteriogenesis.

Authors:  Yukiji Takeda; Sandra Costa; Estelle Delamarre; Carmen Roncal; Rodrigo Leite de Oliveira; Mario Leonardo Squadrito; Veronica Finisguerra; Sofie Deschoemaeker; Françoise Bruyère; Mathias Wenes; Alexander Hamm; Jens Serneels; Julie Magat; Tapan Bhattacharyya; Andrey Anisimov; Benedicte F Jordan; Kari Alitalo; Patrick Maxwell; Bernard Gallez; Zhen W Zhuang; Yoshihiko Saito; Michael Simons; Michele De Palma; Massimiliano Mazzone
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Authors:  Besa Emini Veseli; Paola Perrotta; Gregory R A De Meyer; Lynn Roth; Carole Van der Donckt; Wim Martinet; Guido R Y De Meyer
Journal:  Eur J Pharmacol       Date:  2017-05-05       Impact factor: 4.432

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Journal:  J Immunol       Date:  2012-11-21       Impact factor: 5.422

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Journal:  Front Immunol       Date:  2014-11-28       Impact factor: 7.561

Review 10.  Properties, production, and applications of camelid single-domain antibody fragments.

Authors:  M M Harmsen; H J De Haard
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3.  Stimulation of Collateral Vessel Growth by Inhibition of Galectin 2 in Mice Using a Single-Domain Llama-Derived Antibody.

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4.  Anti-Galectin-2 Antibody Treatment Reduces Atherosclerotic Plaque Size and Alters Macrophage Polarity.

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Review 5.  Galectokines: The Promiscuous Relationship between Galectins and Cytokines.

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