Olivia Kérourédan1, Sylvain Miraux2, Raphael Devillard1, and Emeline J Ribot2
1Biotis, INSERM-Univ.Bordeaux, Bordeaux, France, 2CRMSB UMR5536, CNRS-Univ.Bordeaux, Bordeaux, France
Synopsis
One major issue of in situ bioprinting is
related to cell pattern imaging in vivo. Magnetic Resonance Imaging
(MRI) associated with Micron-sized superparamagnetic Iron Oxide (MPIO)
particles constitutes a non-invasive method for tracking cells in vivo.
In this study, optimal MPIO concentrations for tracking bioprinted cells were
determined. Cell densities of patterns and MRI signals were correlated. MRI was
used to track cell patterns in vitro and post-mortem, after in
situ bioprinting onto a mouse calvaria defect. Results indicate that MRI
combined with MPIO cell labeling is a valuable technique to track bioprinted
cells with sufficient precision.
INTRODUCTION
Major progresses in the field of Tissue
Engineering allowed to control the three-dimensional organization of the
scaffold and cells to reach in vivo applications. Beside biomaterial
printing, Laser-Assisted cell Bioprinting (LAB) has grown considerably last
years due to its rapidity, reproducibility, precision and ability to print
viable cells1. This technology has been considered recently
for in vivo applications in regenerative medicine2,3. One major issue of in situ bioprinting onto
deep tissues is related to cell pattern imaging and follow-up in vivo.
Magnetic Resonance Imaging (MRI) associated with Micron-sized superparamagnetic
Iron Oxide (MPIO) particles, as contrast agents, constitutes a non-invasive
method for tracking cells in vivo4–6. Despite the biocompatibility, low toxicity and
high sensitivity of this method, no studies have currently considered cell
labeling with MPIO in order to follow cell patterns organized by bioprinting
technologies. The aim of this study was to assess the methodology of tracking
MPIO-labeled cells using MRI after organizing them by Laser-Assisted
Bioprinting. METHODS
The LAB workstation used in this study was
previously described7. A dedicated software was used to control
pattern design and substrate position. Stem cells from Apical Papilla (SCAPs)
were used. In order to detect the cell patterns upon in vitro and post-mortem
printing, SCAPs were transduced with GFP- or TdTomato- expressing lentiviral
vectors. SCAPs were also labeled with different concentrations of MPIO (1:1000,
1:500, 1:200, 1:100). The laser focused on the gold layer induces the transfer
of droplets of cells onto a collagen-coated substrate according to the selected
pattern. Three geometries of pattern were designed: successive lines, disk and
ring. Then, a “ring” pattern was printed onto a mouse bone calvaria defect with
the optimal printing conditions determined in vitro.
MRI experiments were performed on 4.7T Bruker
Biospec system. A dedicated device was made for in vitro studies. It was composed of a circular surface coil (20mm
diameter, DotyScientific) for signal excitation and reception, 2 vials
fulfilled with water placed below the coil for MR system adjustment and a thin
plate above to precisely installed Petry dishes containing bio-printed cells. Accuracy
of the patterns was analyzed in vitro by confocal microscopy and in
vivo by fluorescence microscopy. Post-mortem MRI was performed on the same
MRI system with a 4-channels phased array coil dedicated to mouse brain. A T2*-w gradient echo sequence was used with
following parameters: TE/TR=3.7/8ms; FOV=25x18x6mm; Matrix=256x192x64; resolution=97x94x94μm;
Numbers of Excitations=1 or 256; Acquisition time: 6min33s
or 7h respectively for in vitro and post-mortem studies.RESULTS
Pattern accuracy was observed in vitro by
comparing MRI and confocal microscopy images (Figure 1). MRI signal intensity
significantly increased when the MPIO concentration was higher than 1:500. A
MPIO concentration of 1:200 was chosen as the optimal concentration since it led
to a good sensitivity of detection on the MR images and to the best accurate
reproduction of printed patterns. As the cell density of bioprinted patterns
increased, the area covered by the MPIO-labeled cells increased on the MR
images. A linear correlation was found between the area of the hypo-intense
signal and the amount of bioprinted cells (R2=0.9991). After a 7-day in
vitro follow-up of MPIO-labeled MSC samples, SCAPs were still easily
detectable on the MR images. The area covered by the MSC and detected by MRI
increased over time.
Based on the printing geometries used in vitro,
the “ring” pattern, was used for in situ bioprinting onto a bone
calvaria defect in mouse. After an observation by fluorescence microscopy, a
ring of lack of signal within the defect was detected post-mortem on the MR images, that could correspond to MPIO-labeled
printed cells. DISCUSSION
The results presented here suggest the
feasibility to use MRI and MPIO-labeled cells to track cell patterns organized
by LAB in vitro and in situ onto mouse calvaria bone defect.
In situ Laser-Assisted Bioprinting could constitute a new therapeutic
approach allowing for precise organization of cells or biomaterials to implant
at a micron scale. MRI, used as a method for tracking bioprinted cell patterns,
would allow to control the procedure or evolution of in situ bio-printed tissue onto a patient.CONCLUSION
Here, MRI was used to precisely track MPIO-labeled SCAPs in vitro
and post-mortem after patterning by LAB
technology. Adjusting laser parameters and MPIO concentrations was performed to
optimize the MRI detection of patterns.
Acknowledgements
No acknowledgement found.References
1. Schiele, N. R. et al. Laser-based
direct-write techniques for cell printing. Biofabrication 2, 032001
(2010).
2. Keriquel, V. et al. In vivo bioprinting
for computer- and robotic-assisted medical intervention: preliminary study in
mice. Biofabrication 2, 014101 (2010).
3. Keriquel, V. et al. In situ printing of
mesenchymal stromal cells, by laser-assisted bioprinting, for in vivo bone
regeneration applications. Sci. Rep. 7, (2017).
4. Ittrich, H., Peldschus, K., Raabe, N., Kaul, M.
& Adam, G. Superparamagnetic iron oxide nanoparticles in biomedicine:
applications and developments in diagnostics and therapy. ROFO. Fortschr.
Geb. Rontgenstr. Nuklearmed. 185, 1149–1166 (2013).
5. Veiseh, O., Gunn, J. W. & Zhang, M. Design
and fabrication of magnetic nanoparticles for targeted drug delivery and imaging.
Adv. Drug Deliv. Rev. 62, 284–304 (2010).
6. Lin, B.-L. et al. Superparamagnetic Iron
Oxide Nanoparticles-Complexed Cationic Amylose for In Vivo Magnetic Resonance
Imaging Tracking of Transplanted Stem Cells in Stroke. Nanomater. Basel
Switz.
7, (2017).
7. Guillemot, F. et al. High-throughput
laser printing of cells and biomaterials for tissue engineering. Acta
Biomater. 6, 2494–2500 (2010).