1. Introduction
3D-bioprinting, or biological additive manufacturing (BAM), is an emerging field in biological engineering, where cells are printed directly within the hydrogel. It has the potential to mimic biological tissue closely and replicate natural tissue properties, thereby serving as a model for pharmacological assays [
1,
2]. The knowledge gained with pharmacological tissues may trigger future BAM advances in human tissue regeneration or replacement, and could thus meet the steady growth in demand for replacement tissue due to transplant organ scarcity. In recent years therefore both BAM instrumentation and bioink research have experienced an acceleration in development [
3,
4,
5]. Most advances focus on increasing print resolution and guaranteeing shape fidelity and cell viability, with more versatile hydrogel formulations able to close the gap between hydrogels and natural cell environments [
6]. Tuning such hydrogel properties can facilitate cell adherence and infiltration into printed structures, leading to tissue remodeling and regeneration into fully functional recovery of injured tissue [
7]. Moreover the porosity of the hydrogel architecture allows improved cell-cell contact, better cell-matrix interaction and higher cell densities compared to non-porous structures [
8,
9], while simultaneously enhancing nutrient, oxygen and waste diffusion as well as better blood vessel ingrowth.
Researchers have used a plethora of natural and synthetic polymers and formulations in the attempt to meet the aforementioned criteria of bioinks ready for 3D-bioprinting [
10]. However, most materials are not always available or affordable for tissue regeneration where larger amounts of hydrogel are necessary to print centimeter-sized tissues [
11]. This can be a major drawback for certain commonly used hydrogels, such as Matrigel
TM or fibrin. In this work, we present a bioink based on affordable materials which are available in large quantities, and which feature all the properties needed for successful bioprinting of cell-laden scaffolds. The work is based on a combination of methylcellulose (MC) and gelatin similar to that used in food packaging [
12]. Since both biopolymers show beneficial rheological properties when considered individually, a combination within one bioink could yield a 3D-bioprintable ink. Gelatin is liquid at temperatures above the yield point, ideal for cell loading and cell dispersion; while gelatin at temperatures below the yield point is ideal for shape fidelity after printing [
13]. Conversely, MC is more viscous at higher temperatures, ideal for structural stability during incubation [
14]. Combining these two biopolymers may thus create a bioink with a bigger printability window and one that, due to shear thinning, exerts less shear force on cells during printing. Furthermore, release of MC after incubation might result in a porous hydrogel, matching the aforementioned requirement profile of a bioink, as preliminary data (not shown here) indicates.
In addition, gentle and cell-friendly enzymatic crosslinking of gelatin after printing, which is characterized by different stiffnesses, may result in long term shape fidelity [
15] and makes it available for different human tissue substitutes. This stiffness modification of gelatin, and ultimately of the bioink, is accomplished using a crosslinker, e.g., transglutaminase (TG) [
16]. Thus, tunable bioink rigidity, mimicking the desired tissue type, increases the versatile application of such inks in regenerative tissue engineering.
In this work we study the combination of these two hydrogels to achieve favorable rheological characteristics for extrusion-based printing, with possible versatile implementation in regenerative tissue engineering, e.g., cardiac tissue reconstruction. Furthermore, printability of the developed bioink is characterized, elastic modulus alterations of the printed 3D constructs are examined and the ink is loaded with cells for 3D-bioprinting and long-term cell experiments.
2. Materials and Methods
2.1. Bioink Preparation
The process of bioink preparation was optimized for later bioprinting and consisted of two main components: a 15% w/v gelatin solution and an 8% w/w MC solution mixed in a 2:1 ratio. Additional 6% w/v and 10% w/v gelatin solutions were produced during the optimization process. For the gelatin solutions porcine skin gelatin (Sigma, Buchs, Switzerland) was slowly added to prewarmed DPBS (Sigma, Switzerland) and stirred until fully dissolved. This solution was stained with 0.5% v/v phenol red (Sigma, Switzerland) to help adjust the pH later. By adding 1 M NaOH (Sigma, Switzerland) as well as 5 M NaCl the pH was adjusted to physiological conditions. The final solution was sterilized in a tabletop microwave autoclave (Microjet Microwave Autoclave, Rodwell, UK), cooled to room temperature (RT) and stored at until further use. The MC solution was prepared by dissolving autoclaved MC in DPBS heated to , to produce an 8% w/w MC solution. This freshly prepared MC solution was mixed while still at with the respective concentrations of gelatin solutions preheated to to blend them before the MC swells at lower temperatures. The final MC gelatin hydrogel mixture (MCG) was stirred constantly until it reached RT. Before use in further 3D-printing, the mixture was kept at for 12 h to swell.
2.2. Crosslinking Agent
To stabilize the printed construct mechanically a transglutaminase solution (TG) was prepared. TG solutions with varying concentrations were studied. Therefore, TG (Sigma, Switzerland) was dissolved in DPBS to yield solutions with concentrations between 60–120 mg/mL, which were sterile filtered (syringe filter Millex
®-GS, 0.22 μm, Burlington, MA, USA) and produced freshly each time before use. To initiate crosslinking [
16], the printed construct was immersed in 1 mL TG solution at RT and left for 10 min before washing with DPBS.
2.3. Rheology
All rheology assays were performed with an Anton Paar MCR92 (Anton Paar, Graz, Austria). The temperature-dependent complex viscosity and phase shift were assessed by oscillatory measurements at a frequency of 1 Hz. The temperature was varied in steps of and each step was kept for 10 s to allow for thermal relaxation. Shear thinning measurements were performed at the respective printing temperature. To ensure a homogeneous distribution of the ink between the rheometer plates, the samples were pre-sheared for 10 s at 1500 rpm. All measurements were performed in triplicate.
2.4. Elasticity
The elasticity of inks was measured by nanoindentation (Piuma, Optics11life, Amsterdam, The Netherlands) with probes having a spring constant of 0.025 N/m and a tip radius of 10 μm [
17]. 1 mL of gelatin or MCG ink respectively was cast into 6-well plates (Greiner Bio-one, 6-wellplate, Kremsmuenster, Austria) and solidified at
. The enzymatic crosslinking was performed by the addition of 1 mL of the respective TG concentration, letting it rest in the incubator for 10 min. The crosslinking solution was then replaced by 1 mL DPBS and the samples were kept in the incubator until measurement. Measurements were performed in triplicate on five positions per sample, all kept at
.
2.5. NIH 3T3 Fibroblast Cell Culture
NIH 3T3 fibroblasts (ATCC, CRL 1658, Manassas, VA, USA) were cultivated in an incubator at and 5% CO. The cell medium consisted of Dulbecco’s modified Eagle medium (DMEM; Sigma Switzerland) supplemented with 10% v/v fetal bovine serum (FBS, Sigma Switzerland) and 1% v/v penicillin–streptomycin (Sigma, Switzerland). The cell medium was changed every second day and cells were used after reaching confluency higher than 80%. The cells were collected by adding 1X Trypsin (Sigma, Switzerland) to the culture flask and incubated for 1 min. Cells were centrifuged for 7 min at 1000 rpm, the supernatant was discarded and cells were counted after resuspension a in fresh medium. Thereafter, the cells were ready to be used for 3D-bioprinting and cell viability assessment experiments.
2.6. 3D-Printing
The aforementioned bioink was printed with a RegenHU 3D-printer (RegenHU 3D Discovery, Fribourg, Switzerland) placed in a sterile environment. The designed print structure was a one or two layered 2 × 2 cm square meander with 1 mm line spacing. The design was chosen to be ready for printing into a 6-well plate (Greiner Bio-one, 6-wellplate, Kremsmuenster, Austria). The optimized print parameters were: (1) printhead/bioink temperature: ; (2) flow rate: 12 mm/s; (3) cartridge pressure: 25 kPa; (4) conical nozzle ID: 0.41 mm; (5) stage temperature: . The bioink was prewarmed at until liquefied, 3 mL were added to the cartridge and placed in the printhead. The constructs were printed into the wells and directly covered with either DPBS, TG solution or NIH 3T3 full medium, to prevent drying out.
2.6.1. Printing with Cells
3D-bioprinting was carried out following the same steps as for the ink without cells. NIH 3T3 cells were mixed into the ink before it was loaded into the cartridge to yield a 3 million cell per mL final concentration in the bioink. Enough cells were harvested in appropriate medium and centrifuged at 1000 rpm for 7 min. The supernatant was discarded, and the cells were mixed with prewarmed MCG. The cell-laden ink was immediately filled into a cartridge, which was manually turned horizontally and vertically to prevent the cells from sedimenting until the ink reached the printing temperature of .
2.6.2. Printability
Even though printability is a widely used term in BAM, currently there is no general agreement on when a bioink is considered ’ready for printing’ [
18]. Hence, the printing evaluation relies on various parameters, for example, in extrusion bioprinting, on uniformity (U), pore factor (P
) and shape fidelity (I) [
19,
20]. In this study, the developed bioink was evaluated for these three parameters. For bioink uniformity three filaments were extruded in a single layer, at the abovementioned printing parameters and the photographs of these filaments were analyzed. Therefore, with ImageJ software (NIH, Bethesda, MD, USA), the rim of the extruded filament was measured by manually outlining it and comparing it to the theoretical length of a perfect uniform filament (
Figure S1c). For calculating the pore factor, again, a double layered meander was extruded with the same printing parameters three times. With the photographs (
Figure S1d) of the pores and ImageJ software, it was determined how well the printed pore area matches the theoretical pore area of a perfectly printed pore. The ratio of these values is the so-called pore factor (P
). Shape fidelity (I) indicates how well the printed constructs hold their height compared to the designed construct height. Thus, with the given printing parameters, a square-shaped construct was extruded three times, each with ten layers. Using the photographs (
Figure S1b) and ImageJ software, the ratio of the printed height and the theoretical construct height was calculated.
2.6.3. Assessment of Cell Viability
In order to verify the biocompatibility of our produced bioink, cell viability was checked at different timepoints using a live/dead assay consisting of Hoechst 33342 (ThermoFisher Scientific, Waltham, MA, USA) and propidium iodide (PI) staining (ThermoFisher Scientific, USA) [
21]. Printed samples were incubated prior to fluorescence microscopy and the constructs were washed three times with DPBS. Staining was carried out for 20 min with a staining solution containing Hoechst 33342 at a concentration of 0.005 mg/mL and PI at a concentration of 0.001 mg/mL. Again, the constructs were washed three times for 5 min, each with DPBS. After that, assayed samples were imaged under a confocal fluorescence microscope (FV3000 Olympus, Tokyo, Japan). To investigate long term cell viability, the constructs were kept in the incubator and analyzed on days one, three and five after printing.
2.7. Image Analysis
Lenses of 4× and 10× with two fluorescence channels (Hoechst and PI) and a brightfield channel were used to capture the fluorescence microscopy images. Image stacking (channels and z-stack) was conducted by Fluoview software (FV21S-SW, Olympus, Japan). Using ImageJ software (NIH, Bethesda, USA), cell viability was further evaluated by converting the images to 8 bit gray value format, adjusting brightness and contrast values and threshold values [
22]. Cell viability of each fluorescence image was calculated with the following formula:
Next, the average cell viability of each timepoint was calculated by analyzing five randomly selected fluorescence images at each timepoint.
4. Discussion
The hydrogel preparation method applied produced MCG bioinks, which showed stable and repeatable rheological behavior immediately after preparation. Repeated shear stress assessments at constant temperatures produced replicable results, independent of the number of repetitions. In contrast, repeated temperature ramps induced a change in rheological behavior, indicating that the phase-separation of gelatin and MC varies with temperature cycles. Such temperature variations may be intentionally applied or can arise when moving the ink from storage to the warm print head several times. It is therefore recommended always to prepare the inks freshly before use and to keep track of the times the ink changes temperature.
Preliminary results (not shown here) indicate that the preparation protocol strongly influences the spatial phase distribution of gelatin and MC, which ultimately also influences the porosity of the crosslinked gelatin scaffold once the MC is removed. In our work we chose a 2:1 ratio of gelatin: MC in order to achieve an interconnected and structurally stable gelatin network after solidification. To optimize porosity, more investigations of mixing ratio as well as other parameters have to be performed. This is of importance for the precise engineering of the diffusion distance and transfer rate of nutrients to the embedded cells as well as the macro stiffness of the scaffold. Further investigation of these aspects are beyond the scope of this paper, however.
Scaffold stiffness is a central parameter in tissue engineering since it influences the differentiation and maturation of cells, e.g., cardiomyocytes differentiate and mature best when embedded in a matrix with E-modulus of around 11 kPa [
25], while neuronal cells prefer scaffolds with 20 kPa [
26]. The stiffness of the MCG bioink can be tuned by the concentration of TG. To a certain extent, this can be accomplished independently of the gelatin concentration, which in turn can be varied to optimize the printing parameters, i.e., gelation temperature, printhead and substrate temperature. The independent control of these two characteristics enabled by enzymatic crosslinking opens the door to a wide range of applications. Compared to harsh UV crosslinking, enzymatic crosslinking is less harmful to cells and its rate depends on the reagent concentration. However, enzyme activity can be reduced by components present in the culture media or scaffolds, e.g., serum and growth factors. This limits the application of the MCG bioink.
With the rheological data at hand, optimal printing parameters could be determined: was ideal for both printhead and bioink temperature. At this temperature, the MCG ink had a good ability to flow and the overall printing pressure on the cells could therefore be minimized. The cooler printing substrate () led to fast solidification and, hence, good print accuracy. This accuracy was supported by the characterization of the bioink’s printability. The measured factors (uniformity, pore and shape fidelity) were used to quantitatively determine how close experimental (printed) filaments, pores and construct heights match the theoretical design. Uniformity showed good values (∼1) while pore factor and shape fidelity were a bit lower, indicating an overly gelled bioink immediately after printing.
Bigger filament widths and heights compared to the used nozzle can be explained with a certain filament collapse during printing. Further investigations into better filament stabilization needs to be carried out to achieve higher print accuracy. To a certain extent, more precise structures could have been printed (lower line spacing) with the same printing parameters, but, for the existing cell experiments, no higher precision was necessary.
As shown in
Figure 2f, the printing process has a minor influence on cell viability since one day post-print viability is 86%. This leads to the conclusion that our optimized printing parameters, e.g., print temperature, flow rate, print speed and print pressure, are sufficient for printing cells with high viability, high accuracy and low shear stress exerted on the cells during printing.
Long-term cell viability analysis showed a high value for early timepoint (1 d) of around 86%, whereas this value dropped after three days to 68% and five days post-printing to 61% or 33%. We suggest that the major impact on viability is the lack of proper nutritional exchange since, as shown in
Figure 2f, cell viability in a crossing structure (thicker structure) drops dramatically (33%) compared to that in a ’line’ structure (61%). This can be explained by the fact that cells have to be in close vicinity to a blood capillary to be optimally provided with nutrients and gas diffusion [
27]. Cells within a crossing structure are further away from nutritional exchange between them and the medium, leading to higher cell death. Additional experimental data of single-layered 3D-bioprinted constructs, with high viability (>80%) over 5 days in culture, supports this assumption. Further investigation into the reason for decreased cell viability after several days of incubation and the nutrient proximity issue needs to be carried out. Nevertheless, controls of cells seeded onto an already-printed construct, without cells in the bioink, had a very high viability of between 96–98% for all days of culture. Therefore, our bioink shows very good intrinsic cytocompatibility.