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Schraven S, Brück R, Rosenhain S, Lemainque T, Heines D, Noormohammadian H, Pabst O, Lederle W, Gremse F, Kiessling F. CT- and MRI-Aided Fluorescence Tomography Reconstructions for Biodistribution Analysis. Invest Radiol 2024; 59:504-512. [PMID: 38038691 DOI: 10.1097/rli.0000000000001052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
OBJECTIVES Optical fluorescence imaging can track the biodistribution of fluorophore-labeled drugs, nanoparticles, and antibodies longitudinally. In hybrid computed tomography-fluorescence tomography (CT-FLT), CT provides the anatomical information to generate scattering and absorption maps supporting a 3-dimensional reconstruction from the raw optical data. However, given the CT's limited soft tissue contrast, fluorescence reconstruction and quantification can be inaccurate and not sufficiently detailed. Magnetic resonance imaging (MRI) can overcome these limitations and extend the options for tissue characterization. Thus, we aimed to establish a hybrid CT-MRI-FLT approach for whole-body imaging and compared it with CT-FLT. MATERIALS AND METHODS The MRI-based hybrid imaging approaches were established first by scanning a water and coconut oil-filled phantom, second by quantifying Cy7 concentrations of inserts in dead mice, and finally by analyzing the biodistribution of AF750-labeled immunoglobulins (IgG, IgA) in living SKH1 mice. Magnetic resonance imaging, acquired with a fat-water-separated mDixon sequence, CT, and FLT were co-registered using markers in the mouse holder frame filled with white petrolatum, which was solid, stable, and visible in both modalities. RESULTS Computed tomography-MRI fusion was confirmed by comparing the segmentation agreement using Dice scores. Phantom segmentations showed good agreement, after correction for gradient linearity distortion and chemical shift. Organ segmentations in dead and living mice revealed adequate agreement for fusion. Marking the mouse holder frame and the successful CT-MRI fusion enabled MRI-FLT as well as CT-MRI-FLT reconstructions. Fluorescence tomography reconstructions supported by CT, MRI, or CT-MRI were comparable in dead mice with 60 pmol fluorescence inserts at different locations. Although standard CT-FLT reconstruction only considered general values for soft tissue, skin, lung, fat, and bone scattering, MRI's more versatile soft tissue contrast enabled the additional consideration of liver, kidneys, and brain. However, this did not change FLT reconstructions and quantifications significantly, whereas for extending scattering maps, it was important to accurately segment the organs and the entire mouse body. The various FLT reconstructions also provided comparable results for the in vivo biodistribution analyses with fluorescent immunoglobulins. However, MRI additionally enabled the visualization of gallbladder, thyroid, and brain. Furthermore, segmentations of liver, spleen, and kidney were more reliable due to better-defined contours than in CT. Therefore, the improved segmentations enabled better assignment of fluorescence signals and more differentiated conclusions with MRI-FLT. CONCLUSIONS Whole-body CT-MRI-FLT was implemented as a novel trimodal imaging approach, which allowed to more accurately assign fluorescence signals, thereby significantly improving pharmacokinetic analyses.
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Affiliation(s)
- Sarah Schraven
- From the Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany (S.S., R.B., S.R., T.L., D.H., W.L., F.G., F.K.); Institute of Molecular Medicine, RWTH Aachen University, Aachen, Germany (H.N., O.P.); Gremse-IT GmbH, Aachen, Germany (S.R., F.G.); Department for Diagnostic and Interventional Radiology, RWTH Aachen University, Aachen, Germany (T.L.); Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany (F.K.); and Fraunhofer MEVIS, Institute for Medical Image Computing, Aachen, Germany (F.K.)
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Foo W, Cseresnyés Z, Rössel C, Teng Y, Ramoji A, Chi M, Hauswald W, Huschke S, Hoeppener S, Popp J, Schacher FH, Sierka M, Figge MT, Press AT, Bauer M. Tuning the corona-core ratio of polyplex micelles for selective oligonucleotide delivery to hepatocytes or hepatic immune cells. Biomaterials 2023; 294:122016. [PMID: 36702000 DOI: 10.1016/j.biomaterials.2023.122016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 01/06/2023] [Accepted: 01/14/2023] [Indexed: 01/22/2023]
Abstract
Targeted delivery of oligonucleotides or small molecular drugs to hepatocytes, the liver's parenchymal cells, is challenging without targeting moiety due to the highly efficient mononuclear phagocyte system (MPS) of the liver. The MPS comprises Kupffer cells and specialized sinusoidal endothelial cells, efficiently clearing nanocarriers regardless of their size and surface properties. Physiologically, this non-parenchymal shield protects hepatocytes; however, these local barriers must be overcome for drug delivery. Nanocarrier structural properties strongly influence tissue penetration, in vivo pharmacokinetics, and biodistribution profile. Here we demonstrate the in vivo biodistribution of polyplex micelles formed by polyion complexation of short interfering (si)RNA with modified poly(ethylene glycol)-block-poly(allyl glycidyl ether) (PEG-b-PAGE) diblock copolymer that carries amino moieties in the side chain. The ratio between PEG corona and siRNA complexed PAGE core of polyplex micelles was chemically varied by altering the degree of polymerization of PAGE. Applying Raman-spectroscopy and dynamic in silico modeling on the polyplex micelles, we determined the corona-core ratio (CCR) and visualized the possible micellar structure with varying CCR. The results for this model system reveal that polyplex micelles with higher CCR, i.e., better PEG coverage, exclusively accumulate and thus allow passive cell-type-specific targeting towards hepatocytes, overcoming the macrophage-rich reticuloendothelial barrier of the liver.
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Affiliation(s)
- WanLing Foo
- Jena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Am Klinikum 1, 07747, Jena, Germany
| | - Zoltán Cseresnyés
- Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute, Research Group Applied Systems Biology, Beutenbergstraße 13, 07745, Jena, Germany
| | - Carsten Rössel
- Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany; Friedrich-Schiller-University, Institute of Organic Chemistry and Macromolecular Chemistry (IOMC), Humboldtstraße 10, 07743, Jena, Germany
| | - Yingfeng Teng
- Friedrich-Schiller-University, Computational Materials Science Group, Otto Schott Institute of Materials Research, Faculty of Physics and Astronomy, Löbdergraben 32, 07743, Jena, Germany
| | - Anuradha Ramoji
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany; Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich-Schiller-University, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany; Jena University Hospital, Center for Sepsis Control and Care, Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany
| | - Mingzhe Chi
- Friedrich-Schiller-University, Computational Materials Science Group, Otto Schott Institute of Materials Research, Faculty of Physics and Astronomy, Löbdergraben 32, 07743, Jena, Germany
| | - Walter Hauswald
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Sophie Huschke
- Jena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Am Klinikum 1, 07747, Jena, Germany
| | - Stephanie Hoeppener
- Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute, Research Group Applied Systems Biology, Beutenbergstraße 13, 07745, Jena, Germany; Friedrich-Schiller-University, Institute of Organic Chemistry and Macromolecular Chemistry (IOMC), Humboldtstraße 10, 07743, Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany; Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich-Schiller-University, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany; Jena University Hospital, Center for Sepsis Control and Care, Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany
| | - Felix H Schacher
- Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany; Friedrich-Schiller-University, Institute of Organic Chemistry and Macromolecular Chemistry (IOMC), Humboldtstraße 10, 07743, Jena, Germany
| | - Marek Sierka
- Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany; Friedrich-Schiller-University, Computational Materials Science Group, Otto Schott Institute of Materials Research, Faculty of Physics and Astronomy, Löbdergraben 32, 07743, Jena, Germany
| | - Marc Thilo Figge
- Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knoell Institute, Research Group Applied Systems Biology, Beutenbergstraße 13, 07745, Jena, Germany; Institute of Microbiology, Faculty of Biological Sciences, Friedrich-Schiller-University Jena, 07743, Jena, Germany; Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany
| | - Adrian T Press
- Jena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Am Klinikum 1, 07747, Jena, Germany; Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany; Jena University Hospital, Center for Sepsis Control and Care, Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany; Friedrich-Schiller-University, Faculty of Medicine, Kastanienstraße. 1, 07747, Jena, Germany.
| | - Michael Bauer
- Jena University Hospital, Department of Anesthesiology and Intensive Care Medicine, Am Klinikum 1, 07747, Jena, Germany; Friedrich-Schiller-University, Jena Center for Soft Matter, Philosophenweg 7, 07743, Jena, Germany; Jena University Hospital, Center for Sepsis Control and Care, Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.
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