Literature DB >> 28463501

Hyaluronan Nanoparticles Selectively Target Plaque-Associated Macrophages and Improve Plaque Stability in Atherosclerosis.

Thijs J Beldman, Max L Senders, Amr Alaarg1,2, Carlos Pérez-Medina1, Jun Tang1,3, Yiming Zhao1, Francois Fay1, Jacqueline Deichmöller4, Benjamin Born, Emilie Desclos, Nicole N van der Wel, Ron A Hoebe, Fortune Kohen, Elena Kartvelishvily, Michal Neeman, Thomas Reiner3,5, Claudia Calcagno1, Zahi A Fayad1, Menno P J de Winther6, Esther Lutgens6, Willem J M Mulder1, Ewelina Kluza.   

Abstract

Hyaluronan is a biologically active polymer, which can be formulated into nanoparticles. In our study, we aimed to probe atherosclerosis-associated inflammation by using hyaluronan nanoparticles and to determine whether they can ameliorate atherosclerosis. Hyaluronan nanoparticles (HA-NPs) were prepared by reacting amine-functionalized oligomeric hyaluronan (HA) with cholanic ester and labeled with a fluorescent or radioactive label. HA-NPs were characterized in vitro by several advanced microscopy methods. The targeting properties and biodistribution of HA-NPs were studied in apoe-/- mice, which received either fluorescent or radiolabeled HA-NPs and were examined ex vivo by flow cytometry or nuclear techniques. Furthermore, three atherosclerotic rabbits received 89Zr-HA-NPs and were imaged by PET/MRI. The therapeutic effects of HA-NPs were studied in apoe-/- mice, which received weekly doses of 50 mg/kg HA-NPs during a 12-week high-fat diet feeding period. Hydrated HA-NPs were ca. 90 nm in diameter and displayed very stable morphology under hydrolysis conditions. Flow cytometry revealed a 6- to 40-fold higher uptake of Cy7-HA-NPs by aortic macrophages compared to normal tissue macrophages. Interestingly, both local and systemic HA-NP-immune cell interactions significantly decreased over the disease progression. 89Zr-HA-NPs-induced radioactivity in atherosclerotic aortas was 30% higher than in wild-type controls. PET imaging of rabbits revealed 6-fold higher standardized uptake values compared to the muscle. The plaques of HA-NP-treated mice contained 30% fewer macrophages compared to control and free HA-treated group. In conclusion, we show favorable targeting properties of HA-NPs, which can be exploited for PET imaging of atherosclerosis-associated inflammation. Furthermore, we demonstrate the anti-inflammatory effects of HA-NPs in atherosclerosis.

Entities:  

Keywords:  PET imaging; anti-inflammatory effects; antiatherogenic therapy; atherosclerosis; hyaluronan nanoparticles; inflammation

Mesh:

Substances:

Year:  2017        PMID: 28463501      PMCID: PMC5492212          DOI: 10.1021/acsnano.7b01385

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


Hyaluronan (HA) is a linear polymer consisting of N-acetylglucosamine and a β-glucuronic acid, which displays distinctive physicochemical and biological properties.[1] As a key component of the extracellular matrix, it effectively lubricates and binds water, and, by interacting with several hyaluronan receptors, hyaluronan regulates cell adhesion, migration, and proliferation.[2] During inflammation, the hyaluronan lining on vascular endothelium mediates immune cell rolling and extravasation, and at the site of inflammation the hyaluronic-rich microenvironment stimulates the tissue penetration by and division of immune cells.[3] In oncology, hyaluronanCD44 receptor interactions have been proposed as key players in tumor progression and metastasis.[4−7] Notably, the biological activity of hyaluronan depends strongly on its degree of polymerization. Low-molecular-weight hyaluronan oligomers have been shown to stimulate inflammation and angiogenesis,[8−12] whereas highly polymerized (multi) megadalton (MDa) hyaluronan acts as a suppressor of these processes.[8−10,13−16] The aforementioned properties, nonimmunogenicity, and cost-effective production of hyaluronan have propelled its application in biomedicine. At present, hyaluronan’s local administration is applied in arthrology, ophthalmology, and esthetic medicine,[17,18] but its systemic application is highly challenging due to rapid blood clearance[19−22] and susceptibility to hydrolysis. In this respect, hyaluronan-based therapeutics might benefit from nanomedicine-based formulation strategies, which have shown their tunability for cellular interactions[23] and profound impact on the pharmacokinetic properties of various biomaterials.[24,25] Although hyaluronan has been deposited on the surface of either lipid or polymeric nanoparticles, studies exploiting the polymeric backbones of hyaluronan for nanoparticle assembly, which can be achieved by chemical modification of hyaluronan carboxyl groups, are scarce.[26−32] In our study, we exploit hyaluronan suprachemistry to formulate nanoparticles, which we propose for targeting of atherosclerosis-associated inflammation.[33−36] This is motivated by the critical role of hyaluronan–immune cell interactions during the inflammatory processes,[3] which drive the atherosclerosis progression and severe complications.[37,38] The diagnosis and treatment of high-risk patients still remains an unresolved problem.[39,40] Macrophages, the key propagators of atherosclerosis and primary phagocytes in atherosclerotic plaques, express several hyaluronan-binding receptors, including CD44, ICAM-1, LYVE-1, RHAMM, and TLR-4.[41−44] Notably, macrophages are a highly dynamic cell population, the molecular and functional profile of which is strongly influenced by the tissue microenvironment.[45,46] The assessment of these phenotypic alternations may be of important predictive and prognostic value in atherosclerosis. In view of the rapid hyaluronan degradability, we extensively studied the morphological and chemical stability of nanoparticle (NP)-formulated hyaluronan. To this aim, we employed several advanced microscopy methods, including atomic force microscopy, cryo-scanning electron microscopy, and super-resolution fluorescence microscopy. Flow cytometry allowed us to study the nature of the interactions between nanoparticulate hyaluronan and immune cells and how the atherosclerotic plaque progression affects these interplays. Furthermore, we performed radiolabeling of HA-NPs with 89Zr for quantitative evaluation of plaque targeting efficacy, clearance kinetics, and biodistribution in atherosclerotic apoe mice. The translational impact of 89Zr-HA-NPs was investigated by noninvasive imaging of atherosclerotic rabbits using a fully integrated positron emission tomography and magnetic resonance imaging (PET/MRI) system. We also investigated the impact of hyaluronan assembly into nanoparticles on its biological activity, by probing the atheroprotective effects of HA-NPs.

Results and Discussion

Morphology of Hyaluronan-Based Nanoparticles and the Impact of Hydrolysis

To determine the morphological characteristics of hyaluronan-based nanoparticles (HA-NPs) and their stability under hydrolytic conditions, we applied several advanced microscopy methods (Figure A). Atomic force microscopy (AFM) revealed that the air-dried HA-NPs were spherical structures with a mean diameter of 32 ± 0.5 nm (Figure A,B, first panel). Interestingly, after hyaluronidase (HYAL) treatment, the nanoparticles were still highly abundant and their size changed only marginally; that is, we observed them to be 26 ± 5.1 nm in diameter. Cryo-scanning electron microscopy (cryo-SEM) of a snap-frozen sample of HA-NPs in buffered saline showed larger nanoparticles of ca. 80 nm in diameter (Figure A, second panel). In the HYAL-treated samples, the nanoparticles were also readily present. Wet-mode environmental SEM (ESEM) showed larger aggregates of HA-NPs compared to all other methods, which was likely induced by the surface drying (Figure A, third panel). Interestingly, hydrolyzed HA-NPs appeared to retain more water, as deduced from their lower image contrast at higher vacuum. Direct stochastic optical reconstruction microscopy (dSTORM) analysis of surface-immobilized Cy5.5-labeled HA-NPs in aqueous conditions revealed the presence of fluorescent nanostructures with a median diameter of 90 nm (Figure A,B). HYAL treatment did not affect the nanoparticle size considerably. Notably, however, Cy5.5 blinking events appeared to be more disperse for HYAL-treated nanoparticles. In contrast, dSTORM images of disulfo Cy5-COOH, which was used as a small-molecular-weight control, showed diffusely distributed Cy5 molecules and only a small degree of molecule aggregation (Figure S1, Supporting Information).
Figure 1

(A) Hyaluronan nanoparticles (HA-NPs) (upper panel) and HA-NPs after hyaluronidase (HYAL) treatment (lower panel) visualized by atomic force microscopy (AFM) (first panel), cryo-scanning electron microscopy (cryo-SEM) (second panel), environmental scanning electron microscopy (ESEM) (third panel), and direct stochastic optical reconstruction microscopy (dSTORM) (fourth panel). The scale bars shown in the lower images refer also to the upper images. White arrowheads in ESEM images indicate the location of nanoparticles. The image insets in the fourth panel show representative dSTORM images of a single nanoparticle at higher magnification. (B) Normalized distribution of nanoparticle diameter obtained from AFM (left panel) and dSTORM (right panel) data. In the left panel, the size distribution of HA-NPs and hydrolyzed HA-NPs (HA-NPs + HYAL) is shown in gray and red, respectively, and, in the right panel, in black and gray, respectively. (C) Amount of terminal N-acetlyglucosamine (NAcGlc) released from hyaluronan (HA) and HA-NPs during hydrolysis with HYAL, which is expressed as the percentage of total NAcGlc of substrate hyaluronan. (D) Transmitted light image of stained polyacrylamide gel showing the migration spots of different molecular weight hyaluronan, i.e., ∼75 kDa (75k), ∼400 kDa (400k), and ∼1.5 MDa (1.5M), nonlabeled hyaluronan nanoparticles (NPs), fluorescently labeled HA-NPs (NPsL), and their hydrolysis products. Symbol “+” indicates the hydrolyzed samples. Two black arrowheads point at the poorly migrating high-molecular-weight hyaluronan in HA-NP samples. (E) Wide-field (left panel) and two-color dSTORM (right panel) microscopy images of aortic endothelium of a mouse that received an injection of Cy5.5-HA-NPs 2 h before sacrifice. Endothelial cells were stained with CD31-Alexa Fluor 555. (F) Comparison of HA-NP morphology in a mouse aortic endothelium after the in vivo administration of Cy5.5-HA-NPs and on a coverglass after the in vitro seeding of Cy5.5-HA-NPs, assessed by dSTORM. Scale bars in lower images refer to those in the upper panel.

(A) Hyaluronan nanoparticles (HA-NPs) (upper panel) and HA-NPs after hyaluronidase (HYAL) treatment (lower panel) visualized by atomic force microscopy (AFM) (first panel), cryo-scanning electron microscopy (cryo-SEM) (second panel), environmental scanning electron microscopy (ESEM) (third panel), and direct stochastic optical reconstruction microscopy (dSTORM) (fourth panel). The scale bars shown in the lower images refer also to the upper images. White arrowheads in ESEM images indicate the location of nanoparticles. The image insets in the fourth panel show representative dSTORM images of a single nanoparticle at higher magnification. (B) Normalized distribution of nanoparticle diameter obtained from AFM (left panel) and dSTORM (right panel) data. In the left panel, the size distribution of HA-NPs and hydrolyzed HA-NPs (HA-NPs + HYAL) is shown in gray and red, respectively, and, in the right panel, in black and gray, respectively. (C) Amount of terminal N-acetlyglucosamine (NAcGlc) released from hyaluronan (HA) and HA-NPs during hydrolysis with HYAL, which is expressed as the percentage of total NAcGlc of substrate hyaluronan. (D) Transmitted light image of stained polyacrylamide gel showing the migration spots of different molecular weight hyaluronan, i.e., ∼75 kDa (75k), ∼400 kDa (400k), and ∼1.5 MDa (1.5M), nonlabeled hyaluronan nanoparticles (NPs), fluorescently labeled HA-NPs (NPsL), and their hydrolysis products. Symbol “+” indicates the hydrolyzed samples. Two black arrowheads point at the poorly migrating high-molecular-weight hyaluronan in HA-NP samples. (E) Wide-field (left panel) and two-color dSTORM (right panel) microscopy images of aortic endothelium of a mouse that received an injection of Cy5.5-HA-NPs 2 h before sacrifice. Endothelial cells were stained with CD31-Alexa Fluor 555. (F) Comparison of HA-NP morphology in a mouse aortic endothelium after the in vivo administration of Cy5.5-HA-NPs and on a coverglass after the in vitro seeding of Cy5.5-HA-NPs, assessed by dSTORM. Scale bars in lower images refer to those in the upper panel. The hydrolytic stability of HA-NPs was established by dynamic light scattering (DLS). Interestingly, the mean hydrodynamic diameter increased from 100 nm to 125 nm after HYAL treatment (intensity-based) (Figure S2A, Supporting Information). Under both neutral and hydrolytic conditions, there was a small peak (∼10–20%) of larger aggregates of 600–800 nm. The zeta potential marginally changed from −31.3 ± 2.6 mV to −33.3 ± 2.2 mV, indicative of a stable nanosuspension. In comparison, the hydrolysis of high-molecular-weight HA resulted in a zeta potential drop from −19.0 ± 0.5 mV to −8.5 ± 1.2 mV. A summary of quantitative parameters obtained for HA-NPs and HYAL-treated counterparts by different methods is displayed in Figure S2B. HA-NPs and their hydrolysis products were further analyzed by size exclusion chromatography (Figure S3, Supporting Information). The median retention time (tR) of HA-NPs was ca. 9 min, which indicates MDa structures. Hydrolyzed HA-NPs displayed a rather small shift toward longer tR, i.e, the median tR of about 12 min, ∼300 kDa. The size distribution was broader but, to a large extent, overlapping with that of HA-NPs. In the case of free HA, our data indicate its aggregation into large structures, i.e, above the exclusion limit of 1.3 MDa. However, HA hydrolysis resulted in the formation of smaller HA products, ranging between 50 kDa and several hundreds of Da. The aforementioned results show therefore different effects of hydrolysis on the NP-formulated HA compared to the linear counterpart. At the same time, we observed the intrinsic aggregation of oligomeric HA under the investigated conditions. Moreover, to determine the morphology of in vivo-administered HA-NPs, we applied super-resolution microscopy (dSTORM). In Figure E, we show representative wide-field and dSTORM images of aortic endothelium with the engulfed HA-NPs, which could be visualized and spatially resolved exclusively by the dSTORM technique. The observed NP morphology corresponded to that of the in vitro visualized counterparts (Figure F), indicative of HA-NPs’ stability under in vivo conditions. The visualization of HA supramolecular structure in solution is very challenging due to its high hydrophilicity.[47] We demonstrated that HA-NPs can be successfully visualized in the hydrated state by cryo- and environmental SEM and indirectly by dSTORM (Figure A). The 3- to 4-fold higher NP size in aqueous conditions compared to the AFM-assessed dried form reflects the high water-binding properties of HA-NPs. Importantly, all the applied methods showed the limited impact of hydrolysis on the nanoparticle morphology and size distribution. Intriguingly, the release of terminal N-acetylglucosamine, which is a consequence of glycoside bond breakdown by HYAL, was only slightly lower for HA-NPs compared to free HA (Figure C). It needs to be stressed that both the HA cross-linking and conjugation of cholanic ester, which occur during NP assembly, do not affect the glycosidic bonds. This is in line with the unaltered HYAL activity. At the same time, the electrophoresis experiment revealed the presence of larger oligomeric products in HYAL-treated HA-NPs (NPs+ and NPsL+) compared to free HA formulations (75k+ , 400k+, and 1.5M+) (Figure D). This implies the presence of stable bonds in HA-NPs, which resisted the HYAL digestion. In the same experiment, the untreated HA-NPs displayed poor gel migration, corresponding to that of high-molecular-weight hyaluronan (≥1.5 MDa), but also contained some oligomeric HA. NPs and NPs+ therefore displayed a different migration profile, which is in contrast to the results by microscopy or DLS. Possibly, the high voltage used for electrophoresis (300 V) was able to dissociate oligomeric components of NPs+, which does not occur under neutral conditions. From the aforementioned experiments, we can conclude that NP-incorporated HA undergoes hydrolysis, which does not lead to NP disintegration. We believe that the breakdown of glycoside bonds leads to a decreased HA packing in HA-NPs, as suggested by DLS and dSTORM measurements. At the same time, HA cross-linking by enthylenediamine bridges as well as its covalent and amphiphilic interactions[48] with hydrophobic cholanic acid molecules prevented the nanoparticles from disintegrating.

Selectivity of Hyaluronan Nanoparticles toward Pro-inflammatory Macrophage Phenotype

The targeting properties of HA-NPs were studied in vitro in bone-marrow-derived macrophages (BMDMs), which were differentiated into several macrophage phenotypes using oxidized low-density lipoprotein (oxLDL), interleukin-4 (IL-4), or lipopolysaccharide (LPS) and interferon-γ (INFγ). The cellular uptake of HA-NPs was measured by flow cytometry, which is displayed in Figure A (upper panel). The LPS-stimulated macrophages, which represent the pro-inflammatory macrophage phenotype, displayed the highest uptake of HA-NPs. It was ca. 3-fold higher compared to the naive and anti-inflammatory (IL-4) macrophages. Interestingly, oxLDL, which is an important pro-atherogenic factor,[49] significantly decreased the HA-NP uptake efficacy in pro-inflammatory macrophages by approximately 30% (p = 0.0043). Similar experiments were performed for Cy5-labeled free HA and Cy5.5-labeled dextran-NPs (Figure S4A). In contrast to HA-NPs, relative differences between the investigated macrophage phenotypes were much less apparent after incubation with free HA or dextran-NPs. Interestingly, and in line with the HA-NP findings, oxLDL decreased the uptake of HA by 50%. Although oxLDL is a recognized pro-atherogenic factor, its in vitro effects on macrophages are unclear, particularly in LPS-stimulated pro-inflammatory macrophages.[50] As oxLDL is a poor inducer of foam cell formation under in vitro conditions, the lipid loading of macrophages cannot underlie the observed drop in HA-NP uptake efficacy. Alternatively, oxLDL can act as a competitor for the scavenger receptors CD36 and SR-A, which might lead to a decreased HA-NP uptake.
Figure 2

(A) Flow cytometry analysis of the cellular uptake of Cy5.5-labeled hyaluronan nanoparticles (HA-NPs) in different phenotypes of bone-marrow-derived macrophages. The macrophages are divided into three main phenotypic groups: naive (−) (white bars), interleukin 4 (IL-4)-stimulated (gray bars), and lipopolysaccharide (LPS) and interferon γ (INFγ)-stimulated (black bars). Moreover, three concentrations of oxidized low-density lipoprotein (oxLDL) were used for costimulation, i.e., 25, 50, and 100 μg/mL. The cellular uptake of HA-NPs is expressed as the median fluorescence intensity per cell (MFI). Bars represent mean MFI/condition ± SD (ns = 3). Symbol “*” indicates a significant difference and “#” indicates significantly higher MFI compared to all other conditions at p < 0.05. (B) Uptake efficacy of Cy7-HA-NPs in aortic, splenic, and bone marrow macrophages measured by flow cytometry. Black and gray bars represent the data obtained for mice fed with a high-fat diet for 6 (6w HFD) and 12 weeks (12w HFD), respectively. Symbol “*” indicates intergroup differences, whereas “#” and “&” indicate significantly higher MFI compared to all other macrophage populations within the 6w HFD and 12w HFD groups, respectively, and at p < 0.05. (C) Scatter plots showing the relation between the uptake efficacy of HA-NPs and free hyaluronan (HA)-binding (upper panel) and expression of CD44 receptor (lower panel). All data were obtained by flow cytometry and are expressed as the median fluorescence intensity per cell. The correlations were investigated for pooled aortic leukocyte populations, i.e, macrophages, Ly6chigh and Ly6clow monocytes, and neutrophils, in 6w HFD (left panel, black circles) and 12w HFD mice (right panel, gray squares). The black lines serve as guides for the eye. The correlation coefficient, R, was obtained from the nonparametric Spearman’s correlation test. (D) Representative confocal microcopy images of aortic lesions detected in 6w HFD (left image) and 12w HFD group (right image). The Cy5.5-HA-NPs are shown in red, CD68 staining of macrophages is shown in green, and cell nuclei are blue. (E) Selectivity of HA-NPs toward plaque-associated macrophages expressed as the percentage of HA-NP-positive area that colocalizes with CD68-positive macrophage area. Bars represent mean ± SD. Symbol “*” represents significant difference at p < 0.05.

(A) Flow cytometry analysis of the cellular uptake of Cy5.5-labeled hyaluronan nanoparticles (HA-NPs) in different phenotypes of bone-marrow-derived macrophages. The macrophages are divided into three main phenotypic groups: naive (−) (white bars), interleukin 4 (IL-4)-stimulated (gray bars), and lipopolysaccharide (LPS) and interferon γ (INFγ)-stimulated (black bars). Moreover, three concentrations of oxidized low-density lipoprotein (oxLDL) were used for costimulation, i.e., 25, 50, and 100 μg/mL. The cellular uptake of HA-NPs is expressed as the median fluorescence intensity per cell (MFI). Bars represent mean MFI/condition ± SD (ns = 3). Symbol “*” indicates a significant difference and “#” indicates significantly higher MFI compared to all other conditions at p < 0.05. (B) Uptake efficacy of Cy7-HA-NPs in aortic, splenic, and bone marrow macrophages measured by flow cytometry. Black and gray bars represent the data obtained for mice fed with a high-fat diet for 6 (6w HFD) and 12 weeks (12w HFD), respectively. Symbol “*” indicates intergroup differences, whereas “#” and “&” indicate significantly higher MFI compared to all other macrophage populations within the 6w HFD and 12w HFD groups, respectively, and at p < 0.05. (C) Scatter plots showing the relation between the uptake efficacy of HA-NPs and free hyaluronan (HA)-binding (upper panel) and expression of CD44 receptor (lower panel). All data were obtained by flow cytometry and are expressed as the median fluorescence intensity per cell. The correlations were investigated for pooled aortic leukocyte populations, i.e, macrophages, Ly6chigh and Ly6clow monocytes, and neutrophils, in 6w HFD (left panel, black circles) and 12w HFD mice (right panel, gray squares). The black lines serve as guides for the eye. The correlation coefficient, R, was obtained from the nonparametric Spearman’s correlation test. (D) Representative confocal microcopy images of aortic lesions detected in 6w HFD (left image) and 12w HFD group (right image). The Cy5.5-HA-NPs are shown in red, CD68 staining of macrophages is shown in green, and cell nuclei are blue. (E) Selectivity of HA-NPs toward plaque-associated macrophages expressed as the percentage of HA-NP-positive area that colocalizes with CD68-positive macrophage area. Bars represent mean ± SD. Symbol “*” represents significant difference at p < 0.05. Phagocytosis is the primary mechanism driving nanoparticle engulfment by macrophages.[51,52] However, we also considered an additive effect of HA-NP interaction with hyaluronan receptors, expressed by macrophages.[41−44] We therefore studied the effects of different stimuli on the expression of hyaluronan receptors in BMDMs and how it relates to HA-NP–receptor interactions and overall HA-NP uptake. Flow cytometry analysis revealed the overexpression of almost all hyaluronan receptors, except for ICAM-1, by IL-4-stimulated (anti-inflammatory) macrophages (Figure S4A, right panel) (Supporting Information). This correlated well with the enhanced cell membrane association of HA-NP at 4 °C, as visualized by confocal microscopy (Figure S4B). Notably, however, this enhanced hyaluronan receptor expression did not lead to more efficient HA-NP engulfment, as shown in Figure A. Furthermore, we performed competition experiments with free HA and CD44 antibody. Interestingly, only in the case of LPS-treated (pro-inflammatory) macrophages did the competition with free HA lead to a significant decrease in the HA-NP uptake (Figure S4C). Anti-CD44 antibody had no or a positive impact on HA-NP uptake (Figure S4C). It needs to be stressed that previous studies have shown that hyaluronan and CD44 antibodies can bind to different sites on the CD44 receptor.[53] Furthermore, CD44-mediated hyaluronan binding to macrophages requires activation of the receptor.[54,55] We also cannot exclude the interference of LPS contamination of anti-CD44 antibody in the latter experiment. (A) Autoradiography images of aortas excised from a wild-type mouse (WT, left) and two atherosclerotic mice that were on a high-fat diet for either 6 weeks (6w HFD, middle) or 12 weeks (12w HFD, right). Twenty-four hours before sacrifice, the mice received intravenous injection of 89Zr-HA-NPs. In the images, dark spots indicate higher radioactivity deposition. (B) Comparison between the radioactivity levels in healthy aortas (WT, white bar) and aortas with early (6w HFD, black bars) or advanced atherosclerosis (12w HFD, gray bars). The radioactivity was measured for the entire aorta by gamma counting 24 h after i.v. administration of 89Zr-HA-NPs, and it is expressed as the percentage of injected dose (%ID). (C) Blood clearance kinetics of 89Zr-HA-NPs determined by gamma counting in blood samples probed at different time points after NP injection. The data were obtained for the above-mentioned mouse groups and are presented as the mean ± SD of %ID per gram of blood (%ID/g) over time. (D) Coronal PET/MRI fusion images of an atherosclerotic rabbit, showing the organ radioactivity distribution at different time points after intravenous injection of 89Zr-HA-NPs. (E) Clearance kinetics of 89Zr-HA-NPs determined noninvasively in rabbits by measuring standardized uptake values (SUV) in the aortic blood. (F) Time-dependent biodistribution of 89Zr-HA-NPs determined by dynamic (20 min to 2 h) and static (12 and 24 h) PET imaging in the spleen (black squares), liver (gray circles), and kidney (gray triangles). (G) Left panel displays a representative PET/MRI fusion image of an atherosclerotic rabbit 12 h after the administration of 89Zr-HA-NPs. PET signal hot spot can be observed in the abdominal aorta (white arrowhead). In the right panel, the bar chart shows the difference between SUV of the aorta and skeletal muscle at 12 h postinjection. (H) Biodistribution of 89Zr-HA-NPs in different rabbit organs quantified ex vivo by gamma counting and presented as %ID/g of tissue. (I) Confocal microscopy images of the abdominal (upper left) and thoracic aorta (upper right) from a rabbit that was co-injected with both 89Zr-HA-NPs and Cy5.5-HA-NPs. The Cy5.5-HA-NPs are displayed in red, RAM-11 staining of macrophages is shown in green, and cell nuclei are blue. In the lower panel, higher magnification images of abdominal aorta show the engulfed HA-NPs by macrophages. In all bar charts, bars represent mean ± SD and symbol “*” indicates the significant difference at p < 0.05. (A) Representative images of aortic roots from mice that received either PBS (control, left image panel), HA-NPs (middle image panel), or free HA (right image panel) during a 12-week high-fat feeding period. The sections were stained with hematoxylin and eosin (H&E), macrophage-specific antibody (MAC-3), or sirius red (collagen). Scale bar in the upper right image refers to all H&E-stained sections. Bar charts display the mean plaque area (top), percentage of plaque area containing macrophages (middle), and collagen (bottom) in the aforementioned treatment groups. (B) Flow cytometry analysis of aortic arches of the treated mice. Left panel shows representative cell scatter plots and histograms obtained for a control (upper panel) and HA-NPs-treated mouse (lower panel). The immune cells are defined as CD45-positive cells. Bar chart compares the total immune cell count in the control, HA-NPs-treated, and free HA-treated mice. In all bar charts, bars represent mean ± SD and symbol “*” indicates the significant difference at p < 0.05.

Hyaluronan Nanoparticles Target Plaque-Associated Macrophages in Atherosclerotic Mice

The in vivo targeting efficacy and selectivity of HA-NPs were studied in apoe mice, in which either early or advanced atherosclerosis was induced by a six- (6w HFD) or 12-week high-fat diet (12w HFD), respectively. Flow cytometry on digested atherosclerotic aortas enabled single-cell analysis of immune cell populations and a quantitative comparison of the HA-NP uptake in these cells (Figure B). In both groups, aortic macrophages displayed the highest median fluorescence intensity per cell (MFI) generated by Cy7-HA-NPs compared to both splenic and bone-marrow-resident macrophages (Figure B). These differences were, however, the most pronounced in the 6w HFD group; that is, the uptake of HA-NPs by the aortic macrophages was 6- and 40-fold higher compared to splenic and bone-marrow-resident macrophages, respectively. In contrast, fluorescent poly(lactic-co-glycolic acid (PLGA)-NPs, used as a control nanoformulation, displayed considerably higher uptake in splenic macrophages compared to aortic counterparts (Figure S5A, Supporting Information). Among the aortic immune cell populations, macrophages were found to engulf some PLGA-NPs (Figure S5B), albeit at lower levels than HA-NPs, indicative of the latter platform’s favorable atherosclerotic plaque inflammation targeting features. Interestingly, we found dramatic differences in HA-NP uptake between macrophages in early and advanced aortic lesions; that is, MFI was 3060 ± 836 and 697 ± 142 au (arbitrary units), respectively (p = 0.000 03). These results coincide with our in vitro findings on the negative impact of oxLDL (Figure A) and suggest the occurrence of phenotypic changes in the macrophage population during disease progression. Early lesions are primarily composed of viable and freshly recruited macrophages, which display a high phagocytic activity. In contrast, the prolonged exposure to high cholesterol/lipid levels induces macrophage lipid overload and eventually cell apoptosis and necrosis. Other microenvironmental factors, such as oxLDL or reactive oxygen species, the concentrations of which are elevated in complex plaques, might also have negative effect on the macrophage activity.[56] A similar trend was observed for other immune cell populations in the aorta (Figure S6, Supporting Information) and, interestingly, in other tissues, including blood monocytes and splenic macrophages, which suggest a systemic effect of prolonged HFD. In line with our findings, the systemic immune effects of HFD have been described in the context of enhanced lipid loading of innate immune cells and their increased production.[57] We excluded the impact of instrumental error by monitoring MFI for unstained and stained control samples (Figure S7, Supporting Information). Furthermore, we investigated the relation among HA-NP uptake in aortic immune cell populations, the efficacy to bind free HA, and the expression of CD44 receptors. In the early atherosclerosis group, we found a significant correlation between HA-NP uptake and both HA-binding efficacy and CD44 expression, with Spearman’s correlation coefficients of 0.62 and 0.74, respectively (both p = 0.0001) (Figure C). In mice with advanced lesions, the aforementioned parameters did not correlate. This suggests that initially the hyaluronan receptor–HA-NP interactions might play a role in the overall HA-NP uptake, which decreases during the disease progression. Confocal microscopy analysis of mouse aortic arches confirmed the efficient uptake of HA-NPs in both early and advanced lesions (Figure D). However, based on the fraction of HA-NP-positive plaque area that colocalized with macrophage staining, we found a higher selectivity of HA-NPs toward macrophages in early atherosclerotic plaques, which was 67 ± 19% (Figure E). In advanced lesions, the macrophage selectivity was 46 ± 20%, which means that only this fraction of the total accumulated HA-NPs was engulfed by plaque macrophages and implies a considerably higher off-target accumulation of HA-NPs. We believe that this might be due to the impaired phagocytic activity of macrophages in advanced lesions (Figure B) and the presence of necrotic sites, which may facilitate passive accumulation of NPs.[58,59] NP accumulation mechanisms in atherosclerotic plaques are rather scarcely explored.[60] Considering very limited neovascularization in mouse lesions, i.e, a microvascular fraction of ca. 1% based on our histological evaluation, the dysfunctional host endothelium seems to be a major player in NP plaque retention. This can occur via leaky endothelial junctions, which are formed in response to pro-atherogenic stimuli and a high tension induced by the subendothelial plaque deposition.[49,61,62] The leaky endothelial junctions have been proposed as a primary pathway of LDL accumulation in the vessel wall.[40] Alternatively, NPs might enter the plaques via the transcellular migration pathway, by exploiting intracellular vesicles.[63] As shown in Figure E,F, we could detect diffusely distributed HA-NPs in aortic endothelial cells. The subendothelial matrix is known to undergo degradation by the infiltrating macrophages, and therefore it does not create a physical barrier for NPs.

Atherosclerotic Plaque-Targeting, Circulation Kinetics, and Biodistribution of 89Zr-HA-NPs in Mice

The accumulation of 89Zr-HA-NPs in mouse atherosclerotic lesions was determined by autoradiography and gamma counting 24 h postadministration (Figure A,B). Both early and advanced atherosclerotic aortas displayed focal accumulation of radioactive material at typical sites of atherosclerotic plaque formation, i.e., aortic root, arch, and renal artery branching (Figure A). In contrast, the aortas of wild-type mice displayed low and homogeneously distributed radioactivity. Radioactivity quantification of excised aortas by gamma counting revealed a significantly higher percentage of injected dose (%ID) of 89Zr-HA-NPs in atherosclerotic mice compared to their normal counterparts of approximately 30% (Figure B). Interestingly, despite a dramatic difference in disease stage, early lesions were equally well detectable as advanced plaques and displayed similar radioactivity concentrations. This was confirmed by ex vivo fluorescence imaging of aortas after injection of Cy5.5-HA-NPs (Figure S8, Supporting Information). This may be an important finding in view of the present challenges in the detection of early atherosclerosis.[64] In comparison, the previous studies on 18F-FDG-PET, a method that probes cell metabolism, have shown an increasing metabolic activity associated with the atherosclerosis progression, which suggests an increasing inflammatory burden.[65,66] We believe that these discrepancies originate from the fact of assessing different aspects of macrophage activity. While macrophage glycolysis was shown to increase significantly in advanced lesions,[67] their phagocytic activity seems to undergo regression, as demonstrated by our flow cytometry (FACS) data (Figure A,B).
Figure 3

(A) Autoradiography images of aortas excised from a wild-type mouse (WT, left) and two atherosclerotic mice that were on a high-fat diet for either 6 weeks (6w HFD, middle) or 12 weeks (12w HFD, right). Twenty-four hours before sacrifice, the mice received intravenous injection of 89Zr-HA-NPs. In the images, dark spots indicate higher radioactivity deposition. (B) Comparison between the radioactivity levels in healthy aortas (WT, white bar) and aortas with early (6w HFD, black bars) or advanced atherosclerosis (12w HFD, gray bars). The radioactivity was measured for the entire aorta by gamma counting 24 h after i.v. administration of 89Zr-HA-NPs, and it is expressed as the percentage of injected dose (%ID). (C) Blood clearance kinetics of 89Zr-HA-NPs determined by gamma counting in blood samples probed at different time points after NP injection. The data were obtained for the above-mentioned mouse groups and are presented as the mean ± SD of %ID per gram of blood (%ID/g) over time. (D) Coronal PET/MRI fusion images of an atherosclerotic rabbit, showing the organ radioactivity distribution at different time points after intravenous injection of 89Zr-HA-NPs. (E) Clearance kinetics of 89Zr-HA-NPs determined noninvasively in rabbits by measuring standardized uptake values (SUV) in the aortic blood. (F) Time-dependent biodistribution of 89Zr-HA-NPs determined by dynamic (20 min to 2 h) and static (12 and 24 h) PET imaging in the spleen (black squares), liver (gray circles), and kidney (gray triangles). (G) Left panel displays a representative PET/MRI fusion image of an atherosclerotic rabbit 12 h after the administration of 89Zr-HA-NPs. PET signal hot spot can be observed in the abdominal aorta (white arrowhead). In the right panel, the bar chart shows the difference between SUV of the aorta and skeletal muscle at 12 h postinjection. (H) Biodistribution of 89Zr-HA-NPs in different rabbit organs quantified ex vivo by gamma counting and presented as %ID/g of tissue. (I) Confocal microscopy images of the abdominal (upper left) and thoracic aorta (upper right) from a rabbit that was co-injected with both 89Zr-HA-NPs and Cy5.5-HA-NPs. The Cy5.5-HA-NPs are displayed in red, RAM-11 staining of macrophages is shown in green, and cell nuclei are blue. In the lower panel, higher magnification images of abdominal aorta show the engulfed HA-NPs by macrophages. In all bar charts, bars represent mean ± SD and symbol “*” indicates the significant difference at p < 0.05.

Furthermore, we studied the clearance kinetics of 89Zr-HA-NPs by gamma counting of blood samples. In contrast to the previously reported fast clearance of radiolabeled hyaluronan,[19−21]89Zr-HA-NPs displayed biexponential decay kinetics with a short blood half-life (t1/2,α) of approximately 0.5 h and long t1/2,β of 9 h (Figure C). This might be due to the limited sensitivity of HA-NPs to the blood serum HYAL and/or decreased recognition by the hyaluronic acid receptor for endocytosis in the liver, which mediates systemic clearance of hyaluronan from the vascular and lymphatic circulation.[68] Nevertheless, we should also not rule out the impact of a relatively high HA-NP dose, which might lead to clearance saturation.[20] The quantitative determination of 89Zr-HA-NP biodistribution in mice showed that the liver and spleen are the primary clearance organs of HA-NPs, containing between 10 and 20%ID/g (Figure S9, Supporting Information). The heart, which is an important organ in the context of human coronary atherosclerosis, displayed significantly lower %ID/g compared to the aorta. This suggests a potentially high target-to-background signal for PET imaging of coronary disease, which cannot be achieved by the clinically applied 18F-FDG-PET since fluorodeoxyglucose is avidly taken up by myocardial cells.[69] In our study, we assume the in vivo integrity of HA-NPs and a fluorescent or radioactive label, which is based on the covalent conjugation and strong in vitro data on the nanoparticle stability. Nevertheless, we cannot reject the possibility of partial nanoparticle disintegration, which can occur under the in vivo conditions.[70]

PET Imaging of Rabbit Atherosclerosis with 89Zr-HA-NPs

Subsequently, we investigated the performance of 89Zr-HA-NP for PET imaging of atherosclerosis. Three rabbits were dynamically scanned on a PET/MRI scanner for 2 h after 89Zr-HA-NP injection, as well as statically at 12 and 24 h postadministration. Representative PET/MRI fusion images are displayed in Figure D, on which we noninvasively monitored the circulation kinetics (Figure E) and time-dependent biodistribution (Figure F) of 89Zr-HA-NPs. The initially high aortic PET signal, which was generated by the circulating 89Zr-HA-NPs, decreased over time (Figure D,E). At 12 h postadministration, the aorta showed a relatively low but detectable PET signal, with some hot spots localized in the abdominal aorta (Figure G). The maximum standardized uptake values (SUVmax) were 6-fold higher for the aorta compared to the skeletal muscle (p = 0.03) (Figure G). The signal remained constant until 24 h postadministration. The clearance kinetics derived from PET images afforded a t1/2 of approximately 3 h (Figure F). With respect to the biodistribution, assessed at 24 h postadministration by gamma counting, 89Zr-HA-NPs reached the highest concentration of ca. 0.05%ID/g in the liver, spleen, kidney, and lungs, but considering the total organ mass, the liver and spleen were the primary clearance organs (Figure H). Similar to the mouse data, the heart tissue displayed very low radioactivity (∼0.002%ID/g), which is desirable in context of the coronary atherosclerosis imaging. The confocal microscopy analysis of rabbit aortas confirmed the accumulation of Cy5.5-HA-NPs (showed in red) in the abdominal aorta, which underwent balloon injury, and no detectable NP fluorescence in the untreated thoracic aorta (Figure I). In the abdominal aorta, HA-NPs were localized in macrophage-rich areas and were internalized by aortic macrophages (Figure I, lower image panel). The aforementioned results underline the translational aspect of our study. We applied a 89Zr-deferoxamine (DFO)-labeling strategy, which assures an excellent match between nanoparticle biological half-life and 89Zr physical half-life[71] and which we previously demonstrated in lipid- and polymer-based nanoparticle systems.[72,73] We showed that HA-NPs can be effectively labeled with 89Zr-DFO and enable the detection of atherosclerosis in two animal models, also at the early disease stage. The imaging studies that exploited hyaluronan-mediated targeting of atherosclerosis are scarce.[74−76] Previously, only Lee etal.[76] based their nanoformulation on HA and proposed the fluorescence imaging of atherosclerosis. We, however, provide in-depth analysis of the underlying HA-NP–immune cell interactions and a strong translational aspect by employing noninvasive PET/MRI. Our study shows also some interspecies differences between the mice and rabbits regarding HA-NP kinetics and biodistribution. In mice, 89Zr-HA-NPs displayed biexponential decay kinetics, which has been previously attributed to the nanoparticle size heterogeneity; that is, larger nanoparticles are more rapidly cleared from the circulation compared to smaller counterparts.[77] Moreover, a different clearance mechanism needs to be considered. Our FACS data indicate a growing involvement of blood phagocytes in the clearance of HA-NPs over time postadministration, as shown in Figure S10A (Supporting Information) in blood samples taken 15 min and 2 h postinjection. Furthermore, we observed a shift in the monocyte population toward the Ly6chigh phenotype (Figure S10B). Possibly, the fast clearance phase is driven by the nanoparticle filtration by the reticuloendothelial system, while in the slow phase, HA-NPs might be predominantly associated with the blood-circulating phagocytes. In rabbits, displaying monoexponential clearance kinetics of 89Zr-HA-NPs, these mechanisms were not investigated. With respect to the biodistribution, we report very different retention values of a total dose per gram of mouse and rabbit organs. These differences originate from the fact that we normalize the organ radioactivity to the total injected dose and organ weight. However, the organ weights of a mouse and New Zealand White rabbit differ dramatically; for example, for the liver, it is ∼1–1.5 and ∼140–150 g, respectively. Therefore, 10%ID/g of a mouse tissue represents practically a full organ retention, while 0.05%ID/g of a rabbit liver represents a dose retention in only a small fraction of this organ. Please note that the relative differences between the organs’ radioactivity are rather similar in both mice and rabbits.

Hyaluronan Nanoparticles Improve the Atherosclerotic Plaque Stability in Atherosclerotic Mice

In view of the previously reported anti-inflammatory activity of high-molecular-weight HA,[10] we hypothesized that HA-NPs, composed of megadalton HA aggregates, may also exert anti-inflammatory effects. To test this hypothesis, we studied the effects of HA-NPs on atherosclerosis in apoe mice, which received weekly injections of HA-NPs for 12 weeks. The effects were compared to free 75 kDa HA (free HA), which served as a substrate for the nanoparticle formulation, and phosphate-buffered saline (PBS, control). Histological evaluation of aortic roots involved the assessment of mean plaque area and plaque composition (macrophages and collagen) (Figure A). The HA-NP-treated mice displayed the most favorable plaque phenotype regarding all the aforementioned parameters. The lesions were significantly smaller compared to the control group and contained approximately 30% fewer macrophages compared to both the control and free HA-treated mice. Moreover, they displayed 30–40% higher collagen content, which is an important factor for plaque stability.[78] The anti-inflammatory effects of HA-NPs were confirmed by flow cytometry analysis of aortic arches (Figure B) and by CD45 staining of aortic roots (Figure S11, Supporting Information). Both methods revealed a ∼30–50% lower number of immune cells in the HA-NP-treated mice compared to both free HA-treated and control mice. At the same time, we found no systemic immune effects of HA-NPs, as deduced from the analysis of blood, spleen, and bone marrow (Figure S12, Supporting Information).
Figure 4

(A) Representative images of aortic roots from mice that received either PBS (control, left image panel), HA-NPs (middle image panel), or free HA (right image panel) during a 12-week high-fat feeding period. The sections were stained with hematoxylin and eosin (H&E), macrophage-specific antibody (MAC-3), or sirius red (collagen). Scale bar in the upper right image refers to all H&E-stained sections. Bar charts display the mean plaque area (top), percentage of plaque area containing macrophages (middle), and collagen (bottom) in the aforementioned treatment groups. (B) Flow cytometry analysis of aortic arches of the treated mice. Left panel shows representative cell scatter plots and histograms obtained for a control (upper panel) and HA-NPs-treated mouse (lower panel). The immune cells are defined as CD45-positive cells. Bar chart compares the total immune cell count in the control, HA-NPs-treated, and free HA-treated mice. In all bar charts, bars represent mean ± SD and symbol “*” indicates the significant difference at p < 0.05.

We show that nanoparticle-formulated hyaluronan exerted anti-inflammatory activity, which was previously attributed exclusively to high-molecular-weight linear hyaluronan (HMW-HA).[10] While the application of high-viscosity HMW-HA in the treatment of atherosclerosis is limited by the necessity of local administration,[79] our formulation displays favorable blood circulation kinetics (Figure C,E) and selectivity toward pro-inflammatory/plaque-associated macrophages (Figure A,B). Previously developed HA-containing NPs induced therapeutic effects via other key-acting therapeutic agents, while exploiting HA as a targeting moiety.[29,80] A possible mechanism of HA-NP atheroprotective activity involves a direct interaction of HA-NPs with macrophages/monocytes, which might lead to the downregulation of inflammatory response. This has been previously described for HMW-HA,[10] and, in our study, it is implied by the reduced immune cell infiltrates and higher collagen content (Figure ). In line with this hypothesis, our in vitro study in bone-marrow-derived macrophages showed that a high concentration of HA-NPs significantly inhibited production of nitric oxide (NO) and tumor necrosis factor (TNF), the key pro-inflammatory mediators (Figure S13, Supporting Information). A similar trend was observed for the pro-inflammatory interleukins IL-6 and IL-12. In contrast, oligomeric HA had no significant effect on the expression on NO or TNF, while it significantly increased the IL-6 and IL-12 production. Interestingly, we also observed a significant stimulatory effect of HA-NPs on the expression of arginase-1 gene (Arg-1), which is considered as an important marker of pro-fibrotic macrophages and its overexpression may contribute to atherosclerotic plaque stability. Concurrently, we anticipate a potential impact of long circulating HA-NPs on the vascular glycocalyx, which is predominantly composed of hyaluronan.[81] HA-NPs might serve as a circuiting reservoir of hyaluronan and be “built into” the glycocalyx, which, in consequence, might limit the immune cell infiltration into the lesion site.

Conclusions

We have developed highly biocompatible HA-NPs as a platform for imaging and therapy of atherosclerosis. In our nanoformulation, hyaluronan serves as both the primary building block and the targeting/bioactive molecule, which yields high morphological stability of HA-NPs under hydrolytic conditions. HA-NPs are preferentially taken up by pro-inflammatory macrophages in vitro and display high selectivity toward atherosclerotic plaque-associated macrophages in mice. Interestingly, we found that the efficacy of macrophage–HA-NP interactions is strongly dependent on the disease stage, which we attribute to phenotypic dynamics of macrophage population. Furthermore, we showed that radiolabeled HA-NPs target mouse atherosclerotic lesions and enable PET imaging of atherosclerosis in rabbits. Finally, we demonstrated that HA-NPs exert atheroprotective effects by decreasing the immune cell infiltration in aortic lesions.

Methods

Hyaluronan Nanoparticle Preparation

Hyaluronan (66–99 kDa) was purchased from Lifecore Biomedical (Chaska, MN, USA). A 200 mg of HA was dissolved in 10 mL of 2-(N-morpholino)ethanesulfonic acid (MES) buffer (Sigma-Aldrich, Zwijndrecht, The Netherlands) pH 6 and activated with 92 mg of 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide hydrochloride (EDC) (Thermo Fisher Scientific, Ermelo, The Netherlands) and 104 mg of N-hydroxysulfosuccinimide (sulfo-NHS) (Thermo Fisher Scientific). EDC and sulfo-NHS were dissolved in 200 μL of MES buffer pH 6 and added sequentially to HA solution during stirring, with 15 min intervals. Subsequently, the pH was adjusted up to 7 using 5 M NaOH, 128 μL of ethylenediamine (Sigma-Aldrich) was added, and the pH was rapidly adjusted down to 7 using 5 M HCl. The reaction mixture was stirred at room temperature overnight. The amine-functionalized HA (HA-NH2) was purified by dialysis against water (Spectra/Por 2 membrane, 12–14 kDa cutoff, Spectrum Laboratories, Breda, The Netherlands) and four series of ethanol precipitation (3 volumes ethanol:1 volume water). To induce HA precipitation, NaCl (Sigma-Aldrich) was added to the postdialysis water solution of HA to obtain a final concentration of 5% NaCl. Subsequently, 3 parts of ethanol was added, and the mixture was shaken vigorously until a white precipitate appeared, which was pelleted by centrifugation at 4000 rpm for 20 min. The supernatant was removed by careful pipetting, and the HA-NH2-containing pellet was redissolved in ultrapure water. For a subsequent series of ethanol precipitation, NaCl was added and the process was repeated. After the fourth ethanol precipitation, the HA pellet was dissolved in ultrapure water, dialyzed against water overnight, and freeze-dried (Zirbus VaCo2-II, Zirbus, Bad Grund, Germany). The dry lyophilizate was weighed (the average yield was 70–80%) and analyzed with respect to the amine content. The number of primary amines per HA molecule was 6–12, as determined by the 2,4,6-trinitrobenzenesulfonic acid assay (Thermo Fisher Scientific). In the second step, cholanic NHS ester was prepared by reacting 30 mg of cholanic acid with 17 mg of N,N′-dicyclohexylcarbodiimide (i.e, 83 μL of a 1 M solution) (Thermo Fisher Scientific) and 13 mg of N-hydroxysuccinimide in dry dimethylformamide (DMF) (all aforementioned chemicals were from Sigma-Aldrich). First, cholanic acid was dissolved in 400 μL of DMF, and 83 μL of N,N′-dicyclohexylcarbodiimide solution was added, which was followed by vortexing. Next, N-hydroxysuccinimide was dissolved in ∼50 μL of DMF and added to the reaction mixture, which was vortexed again. The reaction was allowed to sit overnight at room temperature without stirring. The precipitate of the urea derivative, which is a byproduct of the reaction, was removed by centrifugation at 10 000 rpm for 10 min. The supernatant was aspired carefully from above the pellet and was used for further reaction. The supernatant containing a 6 mol excess of cholanic ester was added drop by drop to the solution of HA-NH2 in 0.1 N NaHCO3 pH 9 (20 mg/mL). The reaction was stirred overnight at room temperature, and its product was purified by dialysis against water and filtration. Subsequently, the material was freeze-dried, weighed, and stored at −20 °C.

Fluorescence Labeling of Hyaluronan Nanoparticles

Fluorescent hyaluronan nanoparticles were prepared by conjugating an NHS derivative of a fluorescent dye to the residual primary amino groups on the nanoparticles. First, HA-NPs were dispersed in 0.1 N NaHCO3 pH 8.5 at a concentration of 10 mg/mL, added to a DMF solution of either Cy5.5- or Cy7-NHS ester (Lumiprobe GmbH, Hannover, Germany) (60% water-based buffer: 40% DMF), and stirred for 4 h at room temperature. An 8 mol amount of dye was added per 1 mol of residual NH2 group. The unreacted dye was removed by ethanol precipitation (four times or until the supernatant was clear) and dialyzed against water for 24 h. The labeling resulted in approximately 0.2 mol dye/mol of HA, based on absorbance measurements.

Radiolabeling of Hyaluronan Nanoparticles

HA-NPs were modified with deferoxamine B to enable radiolabeling with zirconium-89 (89Zr). p-SCN-Bn-DFO (Macrocyclix, Plano, TX, USA) in DMSO (5 mg/mL) was added to a nanosuspension of HA-NPs in 0.1 M carbonate buffer (pH 8.9) (10 mg/mL) in steps of 5 μL until a 2-fold molar excess over residual amine groups of NP-incorporated HA. The reaction mixture was vortex-mixed after each addition and then shaken at 37 °C for 4 h. The DFO-modified nanoparticles (HA-NPs-DFO) were purified by spin filtration using a 10 kDa molecular weight cutoff (MWCO) (Sartorius Stedim Biotech GmbH, Goettingen, Germany) and washing four times with fresh PBS. The final retentate was diluted with PBS to achieve a final HA concentration of 5 mg/mL. The HA-DFO nanoparticles were reacted with 89Zr oxalate in PBS (pH 7.4) for 2 h at 37 °C. Radiolabeled HA nanoparticles (89Zr-HA-NPs) were separated from unreacted 89Zr by centrifugal filtration using a 10 kDa MWCO and washing with sterile PBS. The radiochemical yield was 94 ± 1% (n = 3), and the radiochemical purity was >98% as determined by size exclusion chromatography. The number of DFO labels per HA molecule was measured to be ∼1 by the isotope dilution method.

Animal Experiments

Mice

Eight-week-old apoe mice (Charles River Laboratories) were fed with a high-fat diet (TD.88137, Envigo, Alconbury Huntington, UK) for either 6 or 12 weeks to induce early and advanced atherosclerotic lesions, respectively. The wild-type mice served as negative controls. After the diet period, the mice received an injection of HA-NPs (25 mg/kg), which were labeled with either a fluorescent dye or radiotracer, via the tail vein. Twenty-four hours after injection, the mice were sacrificed and perfused with PBS, and aortas with other organs were removed and underwent different examinations. The entire aorta with aortic roots, spleen, blood, and bone marrow from mice that received Cy7-HA-NPs (n = 7) were analyzed by flow cytometry. The immunohistochemical analysis of aortic arches was performed in mice that were administered with Cy.5.5-HA-NPs (n = 5). The organs from 89Zr-HA-NPs-injected mice were analyzed by autoradiography and gamma counting (n = 4). In the therapeutic study, 8-week-old apoe mice on a high-fat diet received once a week for 12 weeks an intravenous injection of either HA-NPs, free HA (both 50 mg/kg/week), or PBS (ns = 10). After 12 weeks of treatment, the mice were sacrificed and aortas perfused with cold PBS. The excised aortic arch and descending aorta including the renal arterial branching were analyzed by flow cytometry, whereas aortic roots were analyzed by histology. All mouse experiments were performed in accordance with protocols approved by the Animal Experiment Committee of Academic Medical Center in Amsterdam or Institutional Animal Care and Use Committee of Mount Sinai School of Medicine (MSSM) in New York.

Rabbits

Three male New Zealand White rabbits (2.5–3.0 months old) were purchased from Charles River Laboratories (Wilmington, MA, USA). To induce the formation of atherosclerotic plaques, endothelial denudation of the aorta was performed by angioplasty. Animals were anesthetized after an intramuscular (i.m.) administration of ketamine (20 mg/kg) (Fort Dodge Animal Health, Overland Park, KS, USA) and xylazine (5 mg/kg) (Bayer AG, Leverkusen, Germany). A 4F-Fogarty embolectomy catheter (Edwards Lifesciences, Irvine, CA, USA) was introduced in the femoral artery, ascended up to the level of the left subclavian artery, and inflated until a pressure of 2 atm was established. Next, the balloon was slowly deflated while retracting until the iliac bifurcation was reached, all performed under X-ray guidance using a clinical cardiovascular intervention Philips system (Allura Xper FD20/10, Philips Healthcare, Best, The Netherlands). The procedure was repeated using the contralateral femoral artery as point of entry, 4 weeks after first procedure and 6 weeks after the initiation of a high cholesterol diet, composed of regular chow diet enriched with 0.3% cholesterol and 4.7% coconut oil (Research Diets, Inc. Brunswick, NJ, USA). After 8 weeks, the diet was changed to 0.15% enriched cholesterol with 4.7% coconut oil diet and continued for the remainder of the experiment. The rabbit experiments were performed in accordance with protocols approved by the Institutional Animal Care and Use Committees of MSSM and followed National Institutes of Health guidelines for animal welfare.

Flow Cytometry of Mouse Tissues

Flow cytometry (FACS) measurements were performed to determine the targeting properties and immune effects of HA-NPs in apoe mice. Twenty-four hours after Cy7-HA-NP administration (targeting study) or 12 weeks after HA-NP therapy (therapeutic study), the mice were sacrificed and blood was collected by cardiac puncture. Subsequently, the mice were perfused with cold PBS, and the entire aorta, including roots, was excised. After 1 h digestion in 4 U/mL Liberase (Roche Life Sciences, Almere, The Netherlands), 60 U/mL hyluronidase (Sigma-Aldrich), and 40 U/mL DNase I (Sigma-Aldrich) of PBS solution at 37 °C, the aorta digests were resuspended, filtered through the cell strainer (Fisher Scientific), and washed three times with FACS buffer (1% BSA in PBS). The spleen was homogenized manually and strained through the cell strainer, whereas bone marrow was flushed out from the femur bone by using cold PBS and resuspended into a single-cell suspension by using a 26G needle. Subsequently, the blood, spleen, and bone marrow underwent erythrocyte lysis (eBioscience, San Diego, CA, USA) and were washed three times with FACS buffer. The cell suspensions from all the organs were stained for FACS analysis. First, the mouse Fc block (BD Pharmingen, Breda, The Netherlands) was added. Ten minutes thereafter, the antibody cocktail was introduced. The following anti-mouse antibodies were used for FACS staining of mice injected with Cy7-HA-NPs: Brilliant Violet 510-CD45, Brilliant Violet 711-CD11b (both BioLegend, San Diego, CA, USA), FITC-F4/80 (CI:A3-1) (Bio-Rad, Oxford, UK), PE-CF594-Ly6c (AL-21) (BD Pharmingen), Brilliant Violet 650-CD44 (IM7). All the antibodies were diluted to 1:200 with FACS buffer. DAPI (ThermoFisher Scientific) was used at a concentration of 2 μg/mL for dead cell staining. Moreover, we prepared fluorescently labeled hyaluronan to determine the hylaronan-binding efficacy by different immune cell populations. In short, HA (60–90 kDa) was dissolved in PBS buffer pH 7.2 and reacted with EDC and sulfo-NHS (both ThermoFisher Scientific) at room temperature while stirring (quantities are given in the section on HA-NP preparation). After 0.5 h, an 8 molar excess of disulfo-Cy5-hydrazide (Cyandye, Sunny Isles Beach, FL, USA) in PBS pH 7.2 was added to the EDC- and sulfo-NHS-reacted HA and stirred for 4 h at room temperature. The reaction product, Cy5-HA, was purified by dialysis and ethanol precipitation (four times). For FACS staining, 50 μg/mL of Cy5-HA was used in a cocktail with the aforementioned antibodies. The cell suspensions were incubated with antibodies and Cy5-hyaluronan for 30 min and washed three times with FACS buffer. The FACS staining of mouse material from the therapeutic study included the following antibodies: Pacific Blue-conjugated NK-1.1, CD90.2, Ly-6G, TER-119, CD49b and CD45R/B220, Brilliant Violet 510-CD45, PE-CD11b, FITC- Ly6c (AL-21), PE-Cy7-F4/80 (CI:A3-1), and Cy5-HA (custom-made). All the antibodies were purchased from BioLegend and used at a dilution of 1:200 excluding FITC-Ly6c, which was diluted 1:100. FACS measurements were performed on either a BD LSRFortessa (BD Biosciences) (targeting study) or a BD LSR II (BD Biosciences) (therapeutic study). The obtained data were analyzed with FlowJo V10 software (FLOWJO, Ashland, OR, USA). The macrophages, monocytes, and neutrophils were defined according to the gating strategy presented in Figure S6A (Supporting Information). For these cell populations, the uptake of Cy7-HA-NPs was determined and expressed as median fluorescence intensity per cell. Furthermore, the MFIs of Brilliant Violet 650-CD44 and Cy5-HA were used as quantifiers of CD44 expression and HA-binding efficacy, respectively. The analysis of FACS data obtained from mice that underwent a 12-week treatment was limited to the assessment of total immune cell population (CD45-positive), which was due to overall low cell numbers obtained from aortic arches.

Autoradiography of Mouse Aortas

The perfused and excised aortas were placed in a film cassette against a phosphorimaging plate (BASMS-2325, Fujifilm, Valhalla, NY, USA) for 72 h at −20 °C to determine the radiotracer distribution. Phosphorimaging plates were read at a pixel resolution of 25 μm with a Typhoon 7000IP plate reader (GE Healthcare, Pittsburgh, PA, USA). The images were postprocessed using ImageJ software.

Pharmacokinetics and Biodistribution in Mice

Gamma counting was used to assess the biodistribution and clearance kinetics of 89Zr-HA-NPs and performed on a Wizard2 2470 automatic gamma counter (PerkinElmer, Waltham, MA, USA). First, the injection samples of 89Zr-HA-NP were measured to determine the total injected dose of radioactivity (ID). Two minutes, 30 min, 2 h, 6 h, and 24 h postadministration, small blood samples were taken from the lateral tail vein. At 24 h after injection of 89Zr- HA-NPs, the mice were sacrificed and the aorta, liver, spleen, kidneys, lung, heart, and a part of the femoral muscle were collected. The radioactivity of each sample was measured and normalized to the ID and sample weight and expressed as the percentage of ID that was retrieved in one gram of tissue (%ID/g). For statistical comparison of aortas, the aortic radioactivity was normalized to the ID only and expressed as the percentage of injected dose. To determine the blood clearance parameters, the blood radioactivity data were fitted by a mono- and biexponential decay model. The best fitting model, as concluded from the correlation coefficient, r2, was used for reporting. The same strategy was used for the rabbit data.

Immunohistochemistry of Mouse Tissues

The mouse aortic arches were embedded in Tissue-Tek O.C.T. (Sakura; Alphen aan den Rijn, The Netherlands) and frozen in 2-methylbutane (Sigma) on dry ice. Subsequently, they were cut into 7-μm-thick sections and fixed with ice-cold acetone for 5 min. Before staining, they were blocked with 5% fetal calf serum (FCS) in PBS for 60 min. Next, the sections were incubated overnight at 4 °C with rat anti-mouse CD68 primary antibody (AbD Serotec; 1:200 dilution; clone: FA-11). After washing, Alexa Fluor 488-conjugated donkey anti-rat IgG secondary antibody (Thermo Fischer Scientific; 1:500 dilution) was applied for 1 h. Nuclei were stained with DAPI. The images of stained aortic arches were acquired using a Leica TCS SP8 confocal microscope (Leica Microsystems) at 400× magnification. On average, we imaged four different plaque areas in each arch section, while imaging six tissue sections per mouse. The obtained images were analyzed using Leica LAS-X software. First, we defined the plaque area, which was used as a normalizing parameter. Furthermore, we determined the area positive for Alexa Fluor 488-CD68 (macrophage staining) or HA-NPs-Cy5.5. This was done by applying a threshold to the appropriate fluorescence channel and creating a mask, which was used to calculate the fluorescence-positive area. Furthermore, the area of colocalization of Alexa Fluor 488-CD68 with HA-NPs-Cy5.5 was determined. Subsequently, we calculated the percentage of HA-NP-positive area that colocalizes with macrophage staining, which was used as an indication of the HA-NP selectivity toward plaque-associated macrophages. To determine the effects of HA-NP treatment on the atherosclerotic plaque development, the mouse hearts with aortic roots were fixed in 4% paraformaldehyde (Sigma-Aldrich) and embedded in paraffin, after the process of dehydration. The aortic roots were cut into 7-μm-thick sections and stained with (1) hematoxyline and eosin (H&E); (2) rat anti-mouse MAC-3 antibody (clone M3/84; BD Pharmingen; 1:30 dilution; overnight incubation), followed by rabbit anti-rat biotinylated secondary antibody (Vector Laboratories, Burlingame, CA, USA; 1:300 dilution, 30 min incubation) and avidin-peroxidase (Vectastatin Elite ABC HRP Kit, Vector Laboratories), color was induced with ImmPact AMEC red peroxidase substrate (Vector Laboratories); and (3) sirius red staining (Sigma-Aldrich) (collagen staining). The stained tissues were analyzed with a light microscope (Leica) at 50× magnification. The mean plaque area was assessed from H&E-stained sections. This was done by delineating plaque areas in 5–6 root sections/mouse. The selected sections had to contain all three aortic valves. The average of all measurements was used as the mean plaque area. The fractions of macrophage and collagen area were assessed in a similar manner. First, the total plaque area was delineated and calculated. The further image analysis included only the plaque area. Color images were transformed into gray-scale images. Subsequently, a threshold was set to select only high-intensity pixels and create binary image. From the latter, the threshold-limited area was calculated and normalized to the total plaque area. All the aforementioned image analyses were performed using Fiji software.[82]

PET/MR Imaging in Rabbits

Rabbits (n = 3, weight: 3.6 ± 0.4 kg) received a 24G-catheter in the right marginal ear vein for injection with 89Zr-HA-NPs and Cy5.5-HA-NPs (1.40 ± 0.02 mCi; ∼25 mg total HA). Anesthesia was induced by an intramuscular injection of ketamine (20 mg/kg) (Fort Dodge Animal Health), combined with xylazine (0.5 mg/kg) (Bayer, Shawnee Mission, KS, USA). Before scanning, all rabbits received a urine catheter to prevent any disruptions from signals in the bladder and were placed in a body matrix coil. During scanning, rabbits received isoflurane anesthesia at 1.5% by inhalation and were oxygenated for the remainder of the PET/MR imaging experiment, while vital parameters were monitored. Shortly after 89Zr-HA-NPs injection, images were acquired in a dynamic fashion for the duration of 2 h using a clinical 3 T PET/MRI Biograph mMR (Siemens, München, Germany). Attenuation correction of PET images was done using the built-in two-point Dixon MR-based attenuation correction (MR-AC) map, and images were reconstructed using the OP-OSEM algorithm. After scout scans, the PET scan was initiated and acquired simultaneously with bright-blood time-of-flight (TOF) noncontrast enhanced angiography performed for localization of arterial anatomical landmarks (renal arteries and iliac bifurcation). Imaging parameters were as follows: TR, 23 ms; TE, 2.8 ms; flip angle, 20 degrees; spatial resolution, 0.35 mm2 (interpolated); slice thickness, 1 mm. Simultaneously a black blood 3D T2 weighted sampling perfection with application optimized contrasts using different flip angle evolution (SPACE) sequence was used for vessel wall delinetation. Imaging parameters were as follows: TR, 1600 ms; TE, 115 ms; flip angle, 120 degrees; echo train length, 83; spatial resolution, 0.63 mm2; slice thickness, 0.63 mm. Static PET scans were performed at 12 ± 1.8 and 24 ± 0.1 h after injection, using a TOF and MR-AC as described above. Analysis of PET images was performed after all data were processed and divided in different time frames using a custom-made program written in Matlab (MathWorks, Natick, MA, USA). All data was subsequently processed with OsiriX imaging software (Pixmeo SARL, Bernex, Switzerland) by drawing regions of interest (ROIs) on the infrarenal abdominal aorta and major organs (liver, spleen, and kidneys). By averaging all acquired ROIs per organ (≥10 per organ), mean standardized uptake values (mean SUVmax) (g/mL) for each target tissue were obtained.

Pharmacokinetics and Biodistribution in Rabbits

Radioactivity half-lives were determined by drawing blood from the ear arteries at 1 and 30 min and at 1, 2, 12, and 24 h postinjection. All rabbits were sacrificed by an i.v. injected overdose of 100 mg/kg sodium pentobarbital and flushed afterward with a bolus of heparinized saline. All rabbits were pinched in the feet to check for reaction prior to systemic perfusion with at least 500 mL of saline solution. Aortas were excised and divided into thoracic and abdominal aorta, the latter with celiac trunk and renal arteries attached, serving as landmarks. The following organs were harvested: heart, lungs, liver, spleen, kidneys, para-aortic lymph node, and muscle. All tissues were weighed before counting with a Wizard2 2480 automatic gamma counter (PerkinElmer).

Immunohistochemistry of Rabbit Aorta

From rabbits that were co-injected with 89Zr- and Cy5.5-labeled HA-NPs, several samples of abdominal and thoracic aorta were collected. The samples were frozen in Tissue-Tek O.C.T. (Sakura) and cut into 7-μm-thick sections. Before staining, they were fixed for 5 min in ice-cold acetone. After blocking with 4% FCS, the aortic sections were stained with a mouse anti-rabbit macrophage antibody (RAM-11, Dako, Heverlee, Belgium). After overnight incubation and washing with Tris-buffered saline, Alexa Fluor 594-conjugated secondary antibody was added and incubated for 0.5 h. DAPI was used as a nuclear stain. The images were acquired using a Leica TCS SP8 confocal microscope at 200× magnification or higher.

Statistical Analysis

The normality of data distribution was tested by using the Shapiro–Wilk test.[83] The in vitro FACS data on the macrophage uptake efficacy of Cy5.5-HA-NPs were analyzed with one-way ANOVA with Tukey’s post hoc test. The same test was used to study the differences in the Cy7-HA-NP uptake efficacy between the aortic, splenic, and bone marrow macrophages. This comparison was done within the same mouse group, i.e, 6w HFD or 12w HFD. The intergroup differences were studied for each macrophage population separately with the independent samples t test. To study the correlation between the HA-NP uptake and CD44 expression, and HA-binding in aortic leukocyte populations, we performed Spearman’s correlation test for non-normally distributed data. Furthermore, a t test was performed for the following parameters: the fraction of Cy5.5-HA-NP-positive area that colocalized with macrophage staining and SUVmax in rabbits. The %ID in mouse aortas of two atherosclerotic mouse groups and wild-type mice were compared with one-way ANOVA with Tukey’s post hoc test. The same analysis method was used to determine the effects of weekly dosing of HA-NPs, free HA, and PBS. All the analyses were performed using IBM SPSS Statistics 23 and setting the significance level at p < 0.05.
  79 in total

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