Distribution and metabolism of 89Zr-labeled HDL nanoparticles in atherosclerotic rabbits: in vivo, longitudinal imaging with PET/MRI
Claudia Calcagno1,2, Carlos Perez-Medina1,2, Tina Binderup3, Mark E Lobatto4, Seigo Ishino1,2, Mootaz Eldib1,2, Philip Robson1,2, Sarayu Ramachandran1,2, Thomas Reiner5, Edward Fisher6, Zahi A Fayad1,2, and Willem JM Mulder1,2

1Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3University of Copenaghen, Copenaghen, Denmark, 4Academisch Medisch Centrum, Amsterdam, Netherlands, 5Memorial Sloan Kettering Cancer Center, New York, NY, United States, 6New York University School of Medicine, New York, NY, United States

Synopsis

Abundant, active inflammatory cells are a hallmark of high-risk atherosclerotic plaques. High-density lipoprotein (HDL) is a natural nanoparticle composed of phospholipids, cholesterol and apolipoprotein A-I (APOA1), which has been shown to have atheroprotective properties. . The recent development of combined PET/MRI scanners and new advances in radio-labeling technology gives the opportunity to investigate theese properties in vivo. Using a unique set-up combining PET/CT and PET/MRI, we non-invasively assess the pharmacokinetics, distribution, metabolism and turnover of 89Zr-HDL’s in a rabbit model of atherosclerosis.

PURPOSE

Abundant, active inflammatory cells are a hallmark of high-risk atherosclerotic plaques1. High-density lipoprotein (HDL) is a natural nanoparticle composed of phospholipids, cholesterol and apolipoprotein A-I (APOA1), which has been shown to have atheroprotective properties. It is believed that these properties are mainly mediated by cholesterol efflux from macrophages in plaques and its transport to the liver for excretion2. The recent development of combined PET/MRI scanners and new advances in radiolabeling technology gives the opportunity to investigate the behavior of HDL nanoparticles in vivo. Using a unique set-up combining PET/CT and PET/MRI, we non-invasively assessed the pharmacokinetics, distribution, metabolism and turnover of 89Zr-HDL3-4 in a rabbit model of atherosclerosis.

METHODS

Nanoparticles were prepared by conjugation of DFO-p-NCS to APOA1, and then radiolabeled with 89Zr3-4. Atherosclerosis was induced in male New Zealand White rabbits using a combination of high-fat diet and double balloon injury of the abdominal aorta (n=13)5. Non-atherosclerotic rabbits were used as controls (n=8). Rabbits were injected with 89Zr-HDL and Cy5.5-HDL. For pharmacokinetics, blood was sampled via the ear vein at 30 min, 24, 48, 72 and 120 h post injection and its radioactivity content measured on an automatic gamma counter. Rabbits were imaged on a Siemens mMR 3T PET/MRI scanner and on a Siemens mCT Biograph PET/CT scanner. PET/MRI and PET/CT scans were acquired within the first hour and then at 24, 48, 72 and 120 h after 89Zr-HDL administration. For PET/MRI, after scout scans, the PET scan was initiated and co-acquired with a radial VIBE MR sequence, used to analyze organ nanoparticle uptake. Time-of-flight (TOF) non-contrast enhanced angiography was also performed for localization of arterial anatomical landmarks. Animals were sacrificed after the last imaging session. For ex vivo validation, tissue samples were harvested for radioactivity counting and imaged using near infrared fluorescence (NIRF) to quantify Cy5.5-HDL uptake. To determine the distribution of 89Zr-HDL, digital autoradiography was also performed. Statistical analyses were conducted using non-parametric unpaired Mann-Whitney tests (p<0.05 considered significant).

RESULTS

Pharmacokinetics. Blood time-activity curves are shown in figure 1A. Radioactivity clearance was 1.13 and 1.05 days in control and atherosclerotic animals, respectively. Radioactivity distribution in selected tissues was measured at 5 days post injection (p.i.) (figure 1B). Kidneys showed the highest uptake values, higher for atherosclerotic animals compared to controls, although these differences were not statistically significant. Spleen and liver uptakes were around 0.1 %ID/g.

Imaging. Representative PET/CT fusion images of the abdominal region at three different time points can be seen in figure 1D. Figure 1E shows representative PET/MRI fusion images of the same animals shown in figure 1D. PET images obtained with both scanners were almost identical and a strong correlation was found between the SUVs measured from both systems (figure 1C). Time-activity curves based on SUVs obtained from PET/CT and PET/MRI images are shown in figure 2. Initially, within the first hour after intravenous administration, images were dominated by a strong blood pool signal (figures 1D and 1E), as well as high signal from liver, spleen and kidneys. At later time points, images showed very high radioactivity accumulation in kidneys, which was significantly higher in atherosclerotic animals at all time points investigated (figure 2). Bone radioactivity was also detected over the five-day period (SUVs around 5 g/mL). Ex vivo analysis proved that this was mostly due to bone marrow uptake, as opposed to mineral bone. Bone marrow uptake was higher in animals with atherosclerosis (0.17 ± 0.03 vs. 0.13 ± 0.01 %ID/g for controls). PET-measured SUVs were in good agreement with SUVs determined by ex vivo gamma counting (R2=0.95). Aortic radioactivity was also measured at 1, 2, 3 and 5 days. Increased accumulation of activity was found at day 5 p.i. in atherosclerotic aortas compared to controls by PET/CT imaging (figure 3A).

Plaque targeting. Radioactivity concentration was significantly higher in atherosclerotic aortas (P = 0.03) as determined by gamma counting at 5 days p.i. (figure 3A). Autoradiography of explanted aortas revealed a patchy distribution of radioactivity in atherosclerotic aortas, showing preferential accumulation in lesions (figure 3B). Analysis by NIRF imaging showed increased accumulation of Cy5.5-HDL in atherosclerotic aortas (figure 3B). A good correlation was found between total radiant efficiency and radioactivity concentration (figures 3C).

DISCUSSION/CONCLUSIONS

Here we demonstrated that it is possible to investigate the in vivo behavior of 89Zr-HDL's by PET/CT and PET/MRI. This multimodal imaging approach allows the non-invasive evaluation of HDL’s trafficking, distribution, metabolism and turnover. Ultimately, this non-invasive imaging tool may be useful to identify patients amenable to HDL therapy and subsequent treatment monitoring in a theranostic fashion.

Acknowledgements

This work was supported by 5 R01EB009638 11 and 1 R01HL125703 01.

References

1. Lusis AJ. Atherosclerosis. Nature 2000;407:233–41.

2. Tardif J-C, Grégoire J, L’Allier PL, et al. Effects of reconstituted high-density lipoprotein infusions on coronary atherosclerosis: a randomized controlled trial. JAMA 2007;297:1675–82.

3. Pérez-Medina C, Abdel-Atti D, Zhang Y, et al. A Modular Labeling Strategy for In Vivo PET and Near-Infrared Fluorescence Imaging of Nanoparticle Tumor Targeting. J. Nucl. Med. 2014;55:1706–1712.

4. Perez-Medina C, Tang J, Abdel-Atti D, et al. PET Imaging of Tumor-Associated Macrophages with 89Zr-labeled HDL Nanoparticles. J. Nucl. Med. 2015.

5. Calcagno C, Cornily JC, Hyafil F, Rudd JH, Briley-Saebo KC, Mani V, Goldschlager G, Machac J, Fuster V, Fayad ZA. Detection of neovessels in atherosclerotic plaques of rabbits using dynamic contrast enhanced MRI and 18F-FDG PET. Arterioscler Thromb Vasc Biol. 2008 Jul;28(7):1311-7

Figures

Figure 1. A) Blood time-activity curves for 89Zr-AI-HDL in rabbits with atherosclerosis and controls (n ≥ 4 per group). B) Radioactivity distribution in selected tissues for 89Zr-AI-HDL at 24 h p.i. [Ki: kidney; Li: liver; Sp: spleen; Lu: lungs; Mu: muscle] (n ≥ 4 per group). C) Correlation between SUVs by PET/MR and PET/CT imaging at the different time points . D) PET/CT and E) PET/MR fusion images of 89Zr-AI-HDL at 1 h, 2 and 5 days p.i in rabbits with atherosclerosis . * P < 0.05.

Figure 2: Standardized uptake values determined by PET/CT (upper panel) and PET/MR (lower panel) imaging at 1 h, 1, 2, 3 and 5 days p.i., and by gamma counting (γ) at 5 days p.i. in selected tissues for 89Zr-AI-HDL (n ≥ 3). * P < 0.05.

Figure 3. Comparison between (A) SUVs measured from PET/CT images and radioactivity concentration; (B) Autoradiography and NIRF images; (C) NIRF intensity (total radiant efficiency) and radioactivity concentration in aortas of rabbits with atherosclerosis and wild type controls at 5 days post administration of 89Zr-AI-HDL and Cy5.5-HDL (n = 4 per group). * P < 0.05.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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