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Evaluation of Iron Oxide Nanoparticle Micelles for Magnetic Particle Imaging (MPI) of Thrombosis

  • Lucas W. E. Starmans ,

    Contributed equally to this work with: Lucas W. E. Starmans, Rik P. M. Moonen

    Affiliation Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands

  • Rik P. M. Moonen ,

    Contributed equally to this work with: Lucas W. E. Starmans, Rik P. M. Moonen

    Affiliation Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands

  • Erica Aussems-Custers,

    Affiliation Applied Chemistry, Philips Research, Eindhoven, the Netherlands

  • Mat J. A. P. Daemen,

    Affiliation Department of Pathology, Academic Medical Center, Amsterdam, the Netherlands

  • Gustav J. Strijkers,

    Affiliations Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands, Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, the Netherlands

  • Klaas Nicolay,

    Affiliation Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands

  • Holger Grüll

    h.gruell@tue.nl

    Affiliations Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands, Oncology Solutions, Philips Research, Eindhoven, the Netherlands

Abstract

Magnetic particle imaging (MPI) is an emerging medical imaging modality that directly visualizes magnetic particles in a hot-spot like fashion. We recently developed an iron oxide nanoparticle-micelle (ION-Micelle) platform that allows highly sensitive MPI. The goal of this study was to assess the potential of the ION-Micelles for MPI-based detection of thrombi. To this aim, an in vivo carotid artery thrombosis mouse model was employed and ex vivo magnetic particle spectrometer (MPS) measurements of the carotid arteries were performed. In addition, we studied the effect of functionalization of the ION-Micelle nanoplatform with fibrin-binding peptides (FibPeps) with respect to nanoparticle thrombus uptake and hence thrombus detection. In vivo quantitative MR imaging pre- and post-ION-Micelle injection was performed as reference for visualization of ION-micelle uptake. ION-Micelles significantly decreased T2 values in the thrombi with respect to pre-injection T2 values (p < 0.01) and significantly increased ex vivo MPS thrombus signal with respect to the noninjured, contralateral carotid (p < 0.01). Functionalization of the ION-Micelles with the FibPep peptides did not result in an increased MPS thrombus signal with respect to the non-fibrin binding ION-Micelles. The lack of a significant increased thrombus uptake for the FibPep-ION-Micelles indicates that (non-fibrin-specific) entrapment of nanoparticles in the mesh-like thrombi is the key contributor to thrombus nanoparticle uptake. Therefore, (nontargeted) ION-Micelles might be of value for noninvasive MPI-based diagnosis, characterization and treatment monitoring of thrombosis.

Introduction

Thrombi play an important role in multiple cardiovascular diseases, such as deep vein thrombosis, pulmonary embolism, ischemic stroke and myocardial infarction. Currently, detection of thrombi entails a multitude of imaging modalities, including MRI, coronary angiography, transesophageal echocardiography, carotid and pelvic ultrasound, ventilation-perfusion scanning and computed tomography (CT), each characterized by its own set of strengths and weaknesses [16]. A noninvasive “one stop shop” methodology for thrombosis imaging would therefore be a welcome addition to the current armature of thrombus diagnostic strategies.

Magnetic particle imaging (MPI) is a relatively new diagnostic imaging modality that is able to directly visualize magnetic nanoparticles [7]. This represents a fundamentally different approach than iron oxide nanoparticle-enhanced MRI, which detects magnetic nanoparticles indirectly by measuring their effect on proton relaxation rates. MPI yields hotspot-like images similar to nuclear imaging techniques and has the potential to provide a “one stop shop” methodology for thrombosis diagnosis. Nanoparticles accumulate in thrombi by entrapment in the thrombus mesh and this phenomenon has previously been employed for thrombosis diagnostic purposes using iron oxide nanoparticles for MRI-aided diagnosis [8] and gold nanoparticles for CT-aided diagnosis [9].

Recently, we have developed an iron oxide nanoparticle micelle (ION-Micelle) platform that allows sensitive MPI [10]. The ION-Micelle nanoplatform consists of hydrophobic, 25 nm-sized iron oxide nanoparticles, which are encapsulated into pegylated phospholipid micelles. For optimal sensitivity in MPI, the nanocrystal size of the iron oxide nanoparticles should be around 20–30 nm [11], whereas currently employed commercially available iron oxide formulations for MPI have a core size around 4–6 nm [12,13]. This size is too small to induce a strong signal for MPI. Magnetic particle spectrometry (MPS) [14], which essentially is zero-dimensional MPI, showed that ION-Micelles induced up to 200-fold higher signal compared to Resovist [10], which is considered to be the most potent commercially available iron oxide formulation for MPI purposes. Thus, the ION-Micelle nanoplatform allows significantly more sensitive MPI than current commercially available iron oxide formulations. Due to their strong T2 effect [10], these particles can also be employed for sensitive MRI detection, which allows a direct comparison of MPI and MRI-based detection.

In this study, we assessed the potential of the ION-Micelle nanoplatform for nanoparticle entrapment-based detection of thrombi using MPI. To this aim, mice with induced carotid artery thrombosis were injected with the ION-Micelles and ex vivo MPS measurements of the carotid arteries were obtained. In vivo MRI of the thrombi pre- and post-ION-Micelle injection was performed as a reference methodology. Available options for visualizing thrombi with MRI include non-contrast-enhanced methods such as T1-weighted imaging [15]. However, because of the use of ION-micelles in this study, a T2-mapping approach was chosen to visualize the uptake of these particles in a sensitive fashion.

Additionally, this study investigates whether functionalization of the ION-Micelle nanoplatform with fibrin-binding peptides (FibPep) yields an increase in thrombus uptake of the nanoparticles, and thus improves thrombosis diagnosis by combining nanoparticle entrapment and fibrin-binding as nanoparticle thrombus uptake mechanisms. FibPep contains the cyclic fibrin-binding amino acid sequence RWQPCPAESWT-Cha-CWDP and binds to human and mouse fibrin with an affinity (Kd) of approximately 700 nM [16]. As a negative control with respect to fibrin-binding, ION-Micelles were functionalized with a scrambled version of FibPep (NCFibPep). Previous preliminary in vitro fibrin-binding experiments showed that FibPep-ION-Micelles bound significantly more to human plasma clots than NCFibPep-ION-Micelles and this increased uptake could be visualized and quantified using MRI and MPS, respectively [10]. In this study, we performed more elaborate in vitro characterization and additionally assessed whether such a fibrin-binding strategy also leads to increased thrombus nanoparticle uptake in vivo.

Results

Nanoparticle synthesis and characterization

Fibrin-targeted FibPep-ION-Micelles (Fig. 1A) and non-fibrin-specific NCFibPep-ION-Micelles were synthesized according to a previously published protocol [10]. The dispersion state of the synthesized nanoparticles in HEPES buffered saline (HBS, pH 7.4) was investigated using dynamic light scattering (DLS) and cryogenic transmission electron microscopy (cryo-TEM) measurements. Immediately after synthesis of the nanoparticles, one peak was observed with a maximum intensity at a hydrodynamic diameter of 40 nm (Fig. 1B). At the conclusion of the in vivo experiments (13 days post-synthesis), DLS was performed once more, and showed identical results for both FibPep-ION-Micelles and NCFibPep-ION-Micelles, indicating excellent intrinsic stability of the particles over the time course of the study. Cryo-TEM analysis showed that FibPep-ION-Micelles and NCFibPep-ION-Micelles were dispersed in HBS as single particles or as small aggregates of nanoparticles (Fig. 1C-D). FibPep-ION-Micelles and NCFibPep-ION-Micelles displayed a longitudinal relaxivity of 5.6 and 5.4 mM-1s-1 and a transversal relaxivity of 207 and 204 mM-1s-1, respectively and are thus well suited to allow sensitive detection by T2-weighted MR imaging. MPS was performed to assess the capacity of the (NC)FibPep-ION-Micelles to induce a signal for MPI purposes. Resovist was measured as a reference. FibPep-ION-Micelles induced similar MPS signal in comparison to NCFibPep-ION-Micelles (Fig. 2). The signal of (NC)FibPep-ION-Micelles was up to 750 times increased with respect to Resovist, indicating that the (NC)FibPep-ION-Micelles are potent contrast agents for MPI.

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Fig 1. FibPep-ION-Micelle nanoplatform.

(A) Schematic representation of the FibPep-ION-Micelle nanoplatform. Reproduced from Starmans and coworkers [10]. (B) Volume-weighted size-distribution profiles of the FibPep-ION-Micelles and NCFibPep-ION-Micelles at the day of synthesis (D0) and at the final day of the in vivo experiments (13 days post synthesis, D13). (C, D) Representative cryo-TEM images of (C) FibPep-ION-Micelles and (D) NCFibPep-ION-Micelles.

https://doi.org/10.1371/journal.pone.0119257.g001

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Fig 2. MPS of FibPep-ION-Micelles, NCFibPep-ION-Micelles and Resovist.

Data is plotted as magnetic moment (normalized for iron content) versus frequency. Note that the curves of FibPep-ION-Micelles and NCFibPep-ION-Micelles largely overlap.

https://doi.org/10.1371/journal.pone.0119257.g002

An in vitro human blood clot assay was performed to confirm the specific fibrin-binding capabilities of the synthesized batch of FibPep-ION-Micelles. Plasma clots were incubated with (NC)FibPep-ION-Micelles and extensively washed after incubation. Subsequently, clots were photographed and measured using MPS to determine nanoparticle binding. The clots incubated with FibPep-ION-Micelles showed markedly increased uptake of the brownish colored ION-Micelles with respect to NCFibPep-ION-Micelles incubated clots (S1A Fig). Specific analysis of the third MPS harmonic (72.6 kHz) showed that FibPep-ION-Micelles displayed a 3-fold higher signal in the clots compared to NCFibPep-ION-Micelles (S1B Fig). Thus, FibPep-ION-Micelles bound in specific fashion to the clots. Samples were stored at 4°C and measured once more after more than 1.5 years of storage, yielding virtually identical results (S1B Fig), indicating that the particles were bound to the clots in a stable fashion.

In vivo MRI

To study the potential of the ION-Micelles to allow visualization of thrombi using MPI, an AlCl3-induced carotid artery thrombosis mouse model was employed [17]. In vivo MRI of the neck region was performed as a reference methodology. The AlCl3-model produces wall-adherent thrombi similar to the frequently employed FeCl3-injury method [16,18,19], but does not cause iron-based MR signal void artifacts which hamper MRI analysis of the produced thrombi using the FeCl3-model [17]. Mice were subjected to baseline MR scans following thrombus inducing surgery, and, subsequently, FibPep-ION-Micelles or NCFibPep-ION-Micelles were injected and mice underwent post-injection MR scans (n = 5 per group). No adverse effects were noticed following injection of the nanoparticles. One mouse of the NCFibPep-ION-Micelle group had to be excluded from MRI data analysis because of internal bleeding caused by the surgery, obscuring the carotid artery and thrombus in the MR images.

3D fast low-angle shot time-of-flight (3D-FLASH-TOF) MRI images confirmed formation of thrombus in the right carotid artery, which was observed as interruption of the bright blood signal; the thrombus itself has a light gray appearance in the MR image (Fig. 3A). A 2D image of the right carotid artery (RCA) was reconstructed from the 3D dataset and was used for planning subsequent MRI scans (Fig. 3B). T1- and T2-weighted images and T2 maps were successfully acquired repeatedly (Fig. 3C-D). Quantification of T2 was preferred over T2* because imaging in the carotid artery region requires a protocol that is robust for cardiac, respiratory and blood-flow motion. Region of interest (ROI) analysis revealed decreased mean T2 values in the thrombus area after injection with both FibPep-ION-Micelles (22.7 ± 1.5 ms) and NCFibPep-ION-Micelles (22.0 ± 2.6 ms) compared to pre-injection values (26.5 ± 2.6 and 25.0 ± 1.5 ms, respectively) (Fig. 4). Comparison of T2 values between mice injected with FibPep-ION-Micelles or NCFibPep-ION-Micelles revealed no significant differences for pre- or post-injection values (p = 0.388 and p = 0.675, respectively). These findings indicate that the ION-Micelles accumulate in the thrombi and that the functionalization with FibPep did not specifically enhance in vivo uptake of ION-Micelles in the thrombus as compared to the non-fibrin-binding nanoparticles. Statistically, the mice injected with FibPep-ION-Micelles or NCFibPep-ION-Micelles can thus be viewed as a single group. Comparison of the average mean thrombus T2 values revealed a highly significant (p = 0.003) overall decrease of T2 from 25.8 ± 2.3 ms pre-injection to 22.4 ± 2.1 ms post-injection of ION-Micelles (Fig. 4).

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Fig 3. In vivo MRI.

(A) Images of right and left carotid arteries (RCA & LCA) reconstructed from the 3D time of flight (TOF) image. The thrombus can be observed in the RCA just proximal of the bifurcation (arrowheads). Presence of blood flow in the thrombosed carotid was confirmed for all animals. (B) On the TOF image 13 parallel slices were planned perpendicular to the RCA. T1-weighted images from three slices are shown: (1) distal from the bifurcation, (2) in the thrombus and (3) proximal to the thrombus (arrowheads: RCA). (C, D) Pre- and post-injection T1- and T2-weighted images and T2 maps of (C) FibPep-ION-Micelles and (D) NCFibPep-ION-Micelles (arrowheads: RCA). The insets show magnifications of the RCA (open arrowheads: outer vessel wall).

https://doi.org/10.1371/journal.pone.0119257.g003

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Fig 4. Quantitative analysis in vivo MRI scans.

In vivo T2 of the thrombus pre- and post-injection with FibPep-ION-Micelles (n = 5) and NCFibPep-ION-Micelles (n = 4). The horizontal lines represent the group means and the average mean for the two groups combined (n = 9). Mean T2 values were significantly decreased post-injection compared to pre-injection for the NCFibPep-ION-Micelles group (p < 0.05; marked with *) and combined group (p < 0.01; marked with **).

https://doi.org/10.1371/journal.pone.0119257.g004

Ex vivo MPS and histological validation

Mice were euthanized upon completion of the MR scans (ca. 2 h post-injection of ION-Micelles and 4.5 h post-thrombus induction). Subsequently, the injured and noninjured, contralateral carotid arteries were excised and measured using MPS to probe ION-Micelle MPI signal. In addition, the injured and contralateral carotids of three mice that had not undergone nanoparticle injection were measured with MPS to quantify background MPS signal of the thrombosed and noninjured carotids. Specific analysis of the third MPS harmonic (Fig. 5) showed significantly increased signal for the injured carotids of mice injected with FibPep-ION-Micelles or NCFibPep-ION-Micelles (26 ± 7 and 25 ± 8 pAm2, respectively) with respect to the contralateral carotids of these mice (9 ± 3 and 8 ± 2 pAm2, respectively) and also with respect to both the injured and contralateral carotids of mice which did not receive nanoparticle injections (5 ± 2 and 6 ± 4 pAm2, respectively). Thus, the ION-Micelles showed significant accumulation in thrombi. The MPS data indicate that there was no significant difference between iron oxide nanoparticle uptake in the injured carotids of mice injected with FibPep-ION-Micelles or NCFibPep-ION-Micelles, which is in line with the above MRI findings.

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Fig 5. Ex vivo MPS of carotid arteries.

MPS measurements of excised injured and contralateral, noninjured carotid arteries following injection with FibPep-ION-Micelles (n = 5) and NCFibPep-ION-Micelles (n = 5) or without injection (n = 3). Data is expressed as magnetic moment of the third harmonic (76 kHz), horizontal lines represent group means. * P < 0.01 versus contralateral carotid (all three groups) and injured carotid of mice which had not received an injection of ION-Micelles.

https://doi.org/10.1371/journal.pone.0119257.g005

Histological sections studied using autofluorescence imaging confirmed (partial) occlusion of the injured carotid arteries and absence of occlusion in the contralateral, noninjured carotid arteries (Fig. 6).

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Fig 6. Ex vivo confocal microscopy of carotid arteries.

Representative autofluorescence confocal microscopy images of transversal histological sections of the (A) injured carotid and (B) noninjured, contralateral carotid artery.

https://doi.org/10.1371/journal.pone.0119257.g006

Discussion

In this study, we report on the characterization and the in vivo evaluation of the ION-Micelle nanoplatform for MPI-based detection of thrombi. FibPep-ION-Micelles and non-fibrin-binding NCFibPep-ION-Micelles had a volume-weighted hydrodynamic diameter of 40 nm and displayed excellent stability over time. The nanoparticles showed high transversal relaxivity (> 200 mM−1s−1) and high signal in magnetic particle spectroscopy (MPS) experiments (up to 750 fold increased signal compared to Resovist), indicating that the (NC)FibPep-ION-Micelles are potent contrast agents for MRI and MPI purposes. These characteristics of the FibPep-ION-Micelles and NCFibPep-ION-Micelles are virtually identical compared to (non-peptide functionalized) ION-Micelles [10]. The FibPep-ION-Micelles displayed significantly more binding towards blood clots in vitro with respect to negative control peptide (NCFibPep) functionalized ION-Micelles. These results were in line with previously reported findings [10]. In addition, we also assessed the binding stability over a longer period of time. The FibPep-ION-Micelles did not dissociate in a significant fashion from the blood clots after more than 1.5 year of incubation in buffer solution, indicating highly stable bonding between the nanoparticles and fibrin deposited in the blood clots in vitro.

To evaluate the potential of the ION-Micelle nanoplatform for MPI-based thrombus detection, an AlCl3-induced carotid artery thrombosis mouse model was employed. MR imaging of the carotids was performed pre- and post-nanoparticle injection as a reference methodology for visualization of ION-Micelle uptake. Pre-injection 3D-TOF images confirmed carotid artery thrombosis, whereas no signal void artifacts were observed, indicating that the AlCl3-injury method induced carotid artery thrombosis without inducing metal-based signal loss. Both FibPep-ION-Micelles and NCFibPep-ION-Micelles decreased the T2 values in the thrombus region, indicating that the ION-Micelles accumulated in significant fashion in the thrombi. No significant differences for pre- or post-injection values between the FibPep-ION-Micelle group and the group which received NCFibPep-ION-Micelles were observed, suggesting that the fibrin-binding peptides did not significantly contribute to the nanoparticle thrombus uptake in vivo. Hence, the observed thrombus uptake of the ION-Micelles is likely mainly due to nanoparticle entrapment in the mesh-like thrombi [8,9]. Previous in vitro MRI evaluation demonstrated that particle binding occurs only on the outside of the blood clots [10]. For reasons of resolution, in vivo ROIs encompass the whole thrombus, the vessel wall and potentially some blood, and local changes are thus averaged out over a larger area at the cost of sensitivity. After the final MR scans, mice were euthanized and the carotids were excised and measured ex vivo with a magnetic particle spectrometer. The FibPep-ION-Micelle-group and NCFibPep-ION-Micelle-group both displayed increased MPS signal in the injured carotid with respect to the noninjured, contralateral carotid artery. Thus, the ION-Micelles yield significant thrombus-specific signal for MPI purposes. No significant difference between FibPep-ION-Micelles and non-fibrin-binding NCFibPep-ION-Micelles was observed, which corresponds well with the in vivo MR imaging results.

The lack of significant additional thrombus uptake for the fibrin-binding FibPep-ION-Micelles with respect to non-fibrin binding NCFibPep-ION-Micelles in vivo may have various potential causes. First, previous studies investigating 111In-labeled FibPep showed that the FibPep peptide was stable in serum, but prone to degradation in kidney and liver homogenates [16]. FibPep-ION-Micelles are, unlike the small 111In-labeled FibPep peptides, not expected to extravasate, encounter liver and kidney proteolytic enzymes and subsequently reenter the circulation. In addition, even though the 111In-labeled FibPep peptides were susceptible to degradation by liver and kidney homogenates, 111In-FibPep accumulated significantly more in carotid artery thrombi with respect to negative control peptide 111In-NCFibPep [16]. Therefore, instability of the targeting peptides on the FibPep-ION-Micelles is likely not a main factor for the identical level of uptake in vivo for the FibPep- and NCFibPep-ION-Micelles. Second, the lipidic micellular nanoparticle coating has a dynamic nature [2022], possibly enabling fibrin-bound FibPep-ION-Micelles to dissociate from the fibrin target by shedding the fibrin-bound FibPep-lipid construct from the nanoparticle. However, in vitro blood clot binding experiments showed that the nanoparticles were bound to the clots in a stable fashion for more than one-and-a-half year. Third, serum proteins may form a protein corona [23], which could hinder targeting moieties on the nanoparticle surface to bind to their target [24]. However, the nanoparticles are virtually entirely coated with polyethylene glycol (PEG), which is known to mitigate the negative impact of the protein corona on nanoparticle targeting [25]. Fourth, nanoparticles accumulate in thrombi in vivo due to entrapment in the mesh-like clot structure [8,9]. This entrapment-based uptake might be less evident in the in vitro clot-binding experiments due to lack of blood flow, which launches nanoparticles into the thrombus mesh, and/or different morphologies of the thrombi in vitro and in vivo. Consequently, entrapment-based accumulation of FibPep-ION-Micelles and NCFibPep-ION-Micelles in vivo in the carotid artery thrombi may dominate the fibrin-specific uptake effects of the fibrin-binding FibPep-ION-Micelles.

In summary, the ION-Micelles significantly decreased thrombus T2 values and significantly increased MPS signal of the thrombi and thus were successfully able to detect thrombosis using MRI and MPS. The observed nanoparticle thrombus uptake is most likely due to entrapment-based accumulation of the nanoparticles in the thrombi in vivo. Such an entrapment-based strategy [8,9] using (nontargeted) ION-Micelles might be valuable for noninvasive MPI-based diagnosis, characterization and treatment monitoring of thrombosis. To further explore the potential of the ION-Micelle nanoplatform for MPI-based thrombosis diagnostics, preclinical in vivo MPI studies using a small animal MPI scanner are warranted. Such studies are well positioned to gauge sensitivity- and resolution-aspects of the proposed ION-Micelle thrombus diagnostic methodology.

Furthermore, since the FibPep-ION-Micelles did show specificity for fibrin in vitro, the FibPep-ION-Micelles might still find value for visualization of fibrin deposition in other pathologies, such as atherosclerosis, which do not involve large intraluminar mesh-like structures such as thrombi that may lead to high levels of nonspecific nanoparticle entrapment. Finally, the ION-Micelle platform shows high transversal relaxivity and strong MPS signal and allows conjugation to targeting ligands other than FibPep via facile maleimide-thiol chemistry, and is therefore a promising multi-purpose nanoplatform for molecular MRI and MPI strategies.

Conclusions

ION-Micelles significantly decreased thrombus T2 values and significantly increased MPS thrombus signal in a carotid artery thrombosis mouse model. Functionalization of the ION-Micelles with fibrin-binding peptides did not result in a significant increased thrombus accumulation in vivo, indicating that entrapment of the nanoparticles in the thrombus-mesh is the chief contributor to in vivo nanoparticle thrombus uptake. All in all, the ION-Micelles showed high potential for noninvasive MPI-based diagnosis, characterization and treatment monitoring of thrombosis. Further studies investigating the potential of the ION-Micelle nanoplatform for in vivo MPI of thrombosis are therefore warranted.

Experimental

Materials

Materials were obtained from Sigma-Aldrich unless otherwise specified. Succinimidyl acetylthioacetate (SATA) was acquired from Invitrogen and Rink amide resin and 9-fluorenylmethyloxycarbonyl (Fmoc) protected amino acids were obtained from either Bachem or Novabiochem (Merck). 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[maleimide(polyethyleneglycol)-2000] (Mal-PEG200-DSPE) was purchased from Avanti Polar Lipids, 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(polyethyleneglycol)-2000] (PEG200-DSPE) was acquired from Lipoid and near-infrared664-1,2-distearoyl-sn-glycero-3-phosphoethanolamine (NIR664-DSPE) was obtained from SyMO-Chem B.V. [26]. Citrated human plasma was purchased from Sanquin, human tissue factor was obtained from Dade Behring and Resovist was acquired from Bayer Schering Pharma.

Nanoparticle synthesis and characterization

SATA-modified fibrin-binding peptide FibPep (Ac-RWQPCPAESWT-Cha-CWDPGGGK[SATA]-NH2) and a scrambled negative control peptide with C-A substitutions (NCFibPep, Ac-WPTAD-Cha-RAWPSQEWPAGGGK[SATA]-NH22) were synthesized according to a previously published protocol [10]. ION-Micelles were synthesized and subsequently functionalized with (NC)FibPep peptides following a previously published procedure [10]. The final volume of the obtained (NC)FibPep-ION-Micelle solution was ca. 1 mL.

The nanoparticles were characterized using DLS, cryo-TEM, proton relaxometry (1.4 T, 37°C), MPS (30 s, 10 mT, 25 kHz), inductively coupled plasma atomic emission spectrometry (ICP-AES) and an in vitro blood clot binding assay (n = 2 per group, 35 μg Fe per sample) according to methods which were previously published [10]. After initial MPS measurements of the clots in the in vitro blood clot assay, the clots were stored at 4°C for more than 1.5 years. After this storage period, clots were again washed 3x with HBS pH 7.4, photographed and subjected to MPS.

Animal model

All procedures regarding animals were approved by the ethical review committee of Maastricht University (permit: DEC2012-174) and were performed according to the Dutch national law and the guidelines set by the institutional animal care committee, accredited by the national department of health. All efforts were made to minimize suffering of the animals.

A well-established AlCl3-induced carotid artery thrombosis mouse model was chosen to study in vivo thrombus uptake of the nanoparticles [17]. C57BL/6 mice (Charles River Laboratories, 24.5 ± 1.6 g bodyweight) were housed under standard conditions with water and food freely available and acclimatized for at least one week before the start of the experimental procedures. Prior to thrombus inducing surgery, mice were subcutaneously injected with buprenorphine hydrochloride (Schering-Plough, 0.1 mg kg-1) for pain relief purposes. The mice were anesthetized using isoflurane, and a segment of the right carotid artery was surgically exposed. Wall-adherent thrombus formation was subsequently induced by applying a small piece of cleaning cloth soaked in 10% AlCl3 on the carotid for 5 min. Next, the cloth was removed, the carotid was washed with saline and the surgical wound was closed by a suture. Finally, a cannula filled with ca. 100 μL saline containing 50 U heparin mL-1 was connected to the tail vein to allow nanoparticle injection subsequent to the pre-injection MR scans without requiring repositioning of the mice. The nanoparticle bolus was contained in a second cannula which was attached to the first at the time of injection.

In vivo MRI and ex vivo MPS of carotid thrombosis using (NC)FibPep-ION-Micelles

Mice were positioned in supine position into a 9.4 T MRI scanner equipped with a 35-mm-diameter volume transceiver coil (Bruker BioSpin GmbH) and were kept under continuous anesthesia using isoflurane (1–2%). Respiration frequency was monitored with a pressure balloon and temperature was maintained at 37°C with a heating pad and a rectal temperature probe for feedback. ECG signal was acquired by application of ECG paste on the front paws of the mice, which were subsequently positioned onto gold-plated ECG electrodes that were connected to an ECG triggering system (Small Animal Instruments Inc).

The MRI protocol consisted of a scan of the chest and neck region with a 3D-FLASH-TOF acquisition (echo time TE = 2.5 ms, repetition time TR = 17 ms, field of view FOV = 20 × 20 × 25.6 mm3, matrix = 200 × 200 × 256, number of averages NA = 2, flip angle FA = 20°). This 3D dataset was used to plan 13 parallel slices (thickness = 0.5 mm, slice separation 0.1 mm, FOV = 25.6 × 25.6 mm2, matrix = 256 × 256) perpendicular to the right carotid artery, such that the last slice was positioned distal to the bifurcation (Fig. 3B). Subsequently, T1- and T2-weighted multi slice spin echo (NA = 2, T1: TE/TR = 7.5/800 ms, T2: TE/TR = 20/2000 ms) images were acquired in this slice geometry. The center slice in the thrombus was chosen for T2 mapping which was performed with an ECG-triggered, respiratory gated, segmented, MLEV-prepared scan with fast imaging with steady-state precession (FISP) readout [27] (40 segments of 5 echoes, TE = 2.1 ms, TR = 4.1 ms, segment TR = 2000 ms, NA = 4, FA = 30°, FOV 20 × 20 mm2, matrix 400 × 400, zero-filling 2 × 2). Images with six effective echo times (TEeff = 0.2, 7.0, 14.6, 21.0, 29.0 and 35.4 ms) were acquired.

The full MRI protocol was performed twice in the same scan session. In between, at ca. 2.5 h post-thrombus formation, FibPep-ION-Micelles or NCFibPep-ION-Micelles (100 μL, 175 μg Fe, n = 5 per group) were injected together with the saline already present in the cannula. To this end, the cradle containing the mouse had to temporarily be removed out of the bore of the MRI scanner. By leaving the mouse fixed in the cradle its orientation was largely preserved. However, to prevent repositioning errors the MRI slice planning was repeated. The T1- and T2-weighted images and the T2 map were acquired at approximately 49, 62 and 94 min post-injection, respectively. After the final MR scans (ca. 2 h post-nanoparticle injection), mice were euthanized by incision of the diaphragm and the vena cava. The injured and contralateral carotids were subsequently harvested and subjected to MPS measurements (10 mT, 25 kHz, 30 s, RT). Additionally, the injured and contralateral carotids of three mice, which did undergo thrombus inducing surgery but no nanoparticle injection, were excised and measured with MPS.

MRI data analysis

Image analysis was performed using a custom-built algorithm in Mathematica 9.0 (Wolfram Research). A region of interest (ROI) was manually drawn around the right carotid artery with thrombus on one of the T2-weighted images of the pre-injection T2 map. The center of the artery was marked and used as a landmark to register pre- and post-injection images. The registration was visually inspected and corrected manually if necessary. The validity of the ROIs was additionally assessed by registration to the multi-slice T1- and T2-weighted images and visual inspection. Subsequently, pixel-wise mono-exponential fitting of the signal intensities at different TEeff was performed. Next, the mean T2 value of the ROI was determined, and pixels with an R2 of fit < 0.7 were excluded from further analysis.

Histology

After the MPS measurements, the injured and contralateral carotid arteries were embedded in Tissue-Tek matrix (Sakura) and subsequently snap-frozen in isopentane and stored at -80°C. The arteries were cut in transversal sections of 5 μm and covered with Fluoromount and a cover glass. Confocal fluorescence images were recorded at RT on a Leica TCS SP5 system (Leica Microsystems). Autofluorescence was measured using a 488 nm argon laser and an emission window of 530–580 nm.

Statistical analysis

All data represent the mean value ± standard deviation (SD). For differences between more than two groups, a 1-way ANOVA with Bonferroni’s multiple comparison procedure was employed. Group normality was tested with a Shapiro-Wilk test and Levene’s test was used to assess the equality of variances between groups. Comparison of FibPep- and NCFibPep-ION-Micelles MRI data was done using a two-sided independent t-test and pre- and post-injection data were compared with a two-sided paired t-test. For all statistical analysis, values of p < 0.05 were considered to be significant.

Supporting Information

S1 Fig. In vitro ION-Micelle human plasma clot binding.

(A) Photograph and (B) MPS of human plasma clots incubated with either FibPep-ION-Micelles (n = 2) or NCFibPep-ION-Micelles (n = 2). MPS measurements were performed immediately after the incubation and washing procedure (Day 0) and after storage for more than 1.5 years (> 1.5 years). Data is expressed as magnetic moment of the third harmonic (76 kHz).

https://doi.org/10.1371/journal.pone.0119257.s001

(TIF)

Acknowledgments

The authors would like to thank Sander van Duijnhoven for assistance with the solid-phase peptide synthesis, Monja Kaiser for the cryo-TEM measurements, Jeannette Smulders for the ICP-AES measurements, Larry de Graaf for construction of the animal cradle and Iris Verel, Marleen Hendriks and Caren van Kammen for their support regarding the in vivo experiments.

Author Contributions

Conceived and designed the experiments: LS RM EA MD GS KN HG. Performed the experiments: LS RM EA. Analyzed the data: LS RM EA MD GS KN HG. Contributed reagents/materials/analysis tools: LS RM EA MD GS KN HG. Wrote the paper: LS RM EA MD GS KN HG.

References

  1. 1. Lu Y, Lorenzoni A, Fox JJ, Rademaker J, Els N Vander, Grewal RK, et al. Noncontrast perfusion single-photon emission CT/CT scanning. Chest. 2014;145: 1079–1088. pmid:24798835
  2. 2. Omran H, Jung W, Rabahieh R, Wirtz P, Becher H, Illien S, et al. Imaging of thrombi and assessment of left atrial appendage function: a prospective study comparing transthoracic and transoesophageal echocardiography. Heart. 1999;81: 192–198. pmid:9922358
  3. 3. Srichai MB, Junor C, Rodriguez LL, Stillman AE, Grimm RA, Lieber ML, et al. Clinical, imaging, and pathological characteristics of left ventricular thrombus: A comparison of contrast-enhanced magnetic resonance imaging, transthoracic echocardiography, and transesophageal echocardiography with surgical or pathological validation. Am Heart J. 2006;152: 75–84. pmid:16824834
  4. 4. Litmanovich D, Bankier AA, Cantin L, Raptopoulos V, Boiselle PM. CT and MRI in diseases of the aorta. Am J Roentgenol. 2009;193: 928–940. pmid:19770313
  5. 5. Markel A, Weich Y, Gaitini D. Doppler ultrasound in the diagnosis of venous thrombosis. Angiology. 1995;46: 65–73. pmid:7818159
  6. 6. Kronzon I. Aortic Atherosclerotic Disease and Stroke. Circulation. 2006;114: 63–75. pmid:16818829
  7. 7. Gleich B, Weizenecker J. Tomographic imaging using the nonlinear response of magnetic particles. Nature. 2005;435: 1214–7. pmid:15988521
  8. 8. Schmitz SA, Winterhalter S, Schiffler S, Gust R, Wagner S, Kresse M, et al. USPIO-enhanced direct MR imaging of thrombus: preclinical evaluation in rabbits. Radiology. 2001;221: 237–43. pmid:11568346
  9. 9. Kim D-E, Kim J-Y, Sun I-C, Schellingerhout D, Lee S-K, Ahn C-H, et al. Hyperacute direct thrombus imaging using computed tomography and gold nanoparticles. Ann Neurol. 2013;73: 617–25. pmid:23495101
  10. 10. Starmans LWE, Burdinski D, Haex NPM, Moonen RPM, Strijkers GJ, Nicolay K, et al. Iron Oxide Nanoparticle-Micelles (ION-Micelles) for Sensitive (Molecular) Magnetic Particle Imaging and Magnetic Resonance Imaging. PLoS One. 2013;8: e57335. pmid:23437371
  11. 11. Weizenecker J, Borgert J, Gleich B. A simulation study on the resolution and sensitivity of magnetic particle imaging. Phys Med Biol. 2007;52: 6363–74. pmid:17951848
  12. 12. Cengelli F, Maysinger D, Tschudi-Monnet F, Montet X, Corot C, Petri-Fink A, et al. Interaction of functionalized superparamagnetic iron oxide nanoparticles with brain structures. J Pharmacol Exp Ther. 2006;318: 108–116. pmid:16608917
  13. 13. Chen D-X, Sun N, Gu H-C. Size analysis of carboxydextran coated superparamagnetic iron oxide particles used as contrast agents of magnetic resonance imaging. J Appl Phys. 2009;106: 063906.
  14. 14. Biederer S, Knopp T, Sattel TF, Lüdtke-Buzug K, Gleich B, Weizenecker J, et al. Magnetization response spectroscopy of superparamagnetic nanoparticles for magnetic particle imaging. J Phys D Appl Phys. 2009;42: 205007.
  15. 15. Jansen CHP, Perera D, Makowski MR, Wiethoff AJ, Phinikaridou A, Razavi RM, et al. Detection of intracoronary thrombus by magnetic resonance imaging in patients with acute myocardial infarction. Circulation. 2011;124: 416–424. pmid:21747055
  16. 16. Starmans LWE, van Duijnhoven SMJ, Rossin R, Berben M, Aime S, Daemen MJAP, et al. Evaluation of 111In-Labeled EPep and FibPep as Tracers for Fibrin SPECT Imaging. Mol Pharm. 2013;10: 4309–21. pmid:24099178
  17. 17. Wolters M, van Hoof RHM, Wagenaar A, Douma K, van Zandvoort MAMJ, Hackeng TH, et al. MRI artifacts in the ferric chloride thrombus animal model: an alternative solution: preventing MRI artifacts after thrombus induction with a non-ferromagnetic Lewis acid. J Thromb Haemost. 2013;11: 1766–9. pmid:23809458
  18. 18. Sachs UJH, Nieswandt B. In vivo thrombus formation in murine models. Circ Res. 2007;100: 979–991. pmid:17431199
  19. 19. Starmans LWE, van Duijnhoven SMJ, Rossin R, Aime S, Daemen MJAP, Nicolay K, et al. SPECT imaging of fibrin using fibrin-binding peptides. Contrast Media Mol Imaging. 2013;8: 229–37. pmid:23606426
  20. 20. Starmans LWE, Kok MB, Sanders HMHF, Zhao Y, Donegá CDM, Meijerink A, et al. Influence of cell-internalization on relaxometric, optical and compositional properties of targeted paramagnetic quantum dot micelles. Contrast Media Mol Imaging. 2011;6: 100–9. pmid:20967880
  21. 21. Zhao Y, van Rooy I, Hak S, Fay F, Tang J, Davies CDL, et al. Near-infrared fluorescence energy transfer imaging of nanoparticle accumulation and dissociation kinetics in tumor-bearing mice. ACS Nano. 2013;7: 10362–70. pmid:24134041
  22. 22. Zhao Y, Schapotschnikow P, Skajaa T, Vlugt TJH, Mulder WJM, de Mello Donegá C, et al. Probing lipid coating dynamics of quantum dot core Micelles via Förster resonance energy transfer. Small. 2014;10: 1163–70. pmid:24343988
  23. 23. Lundqvist M, Stigler J, Elia G, Lynch I, Cedervall T, Dawson KA. Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts. Proc Natl Acad Sci U S A. 2008;105: 14265–14270. pmid:18809927
  24. 24. Salvati A, Pitek AS, Monopoli MP, Prapainop K, Bombelli FB, Hristov DR, et al. Transferrin-functionalized nanoparticles lose their targeting capabilities when a biomolecule corona adsorbs on the surface. Nat Nanotechnol. 2013;8: 137–43. pmid:23334168
  25. 25. Dai Q, Walkey C, Chan WCW. Polyethylene glycol backfilling mitigates the negative impact of the protein corona on nanoparticle cell targeting. Angew Chemie—Int Ed. 2014;53: 5093–5096.
  26. 26. Van Bochove GS, Sanders HMHF, de Smet M, Keizer HM, Mulder WJM, Krams R, et al. Molecular MR Imaging of Collagen in Mouse Atherosclerosis by Using Paramagnetic CNA35 Micelles. Eur J Inorg Chem. 2012;2012: 2115–2125.
  27. 27. Coolen BF, Simonis FFJ, Geelen T, Moonen RPM, Arslan F, Paulis LEM, et al. Quantitative T2 mapping of the mouse heart by segmented MLEV phase-cycled T2 preparation. Magn Reson Med. 2014;72: 409–17. pmid:24186703