Hydrogel synthesis and basic sol-gel transition evaluation
One of the key desired properties of the hydrogel for our system is temperature sensitivity. After several trials with different compositions, we synthesized an in situ forming a hydrogel. As demonstrated in Figure 1, the initial formulation (chitosan/glycerol) did not exhibit temperature sensitivity as the gels remained liquid after prolonged exposure to body temperature. As a result, we had to continue synthesis with another composition. Figures 2-4 illustrate the physical state of Chitosan/β-glycerophosphate hydrogel. Initially, the gel appeared to be a viscous liquid (Figure 2). After putting the hydrogel into the water bath at 37°C for 8 min, the gel became more dense and less transparent. Holding the gel in a water bath for 10 min resulted in the complete solidification of the hydrogel (Figure 3). Afterward, the gel was placed on the bench (room temperature ~25°C). The gel slowly returned to the liquid form after 40 min in these conditions. Figure 4 demonstrates the physical state of the gel after 40 min on the bench. Therefore, the Chitosan/β-glycerophosphate mixture produces an in situ forming temperature-sensitive hydrogel.
For pore size adjustment, hyaluronic acid was added to the mixture. Figures 5-6 demonstrate the physical states of Chitosan/β-glycerophosphate/Hyaluronic acid hydrogel. Right after the synthesis, the gel could freely flow upon tube inversion (Figure 5). Subsequently, the hydrogel was placed into the incubator set to 37°C. As can be observed in Figure 6, the sample became completely solid after 8 min. Rheometric analysis must be performed for a more precise determination of gelation time and temperature.
SEM Imaging of hydrogels
Hydrogel pores must be tiny enough to encapsulate bacterial cells efficiently and prevent their uncontrolled migration to the outer environments [6]. The pores must also be large enough to permit macromolecule exchange between the encapsulated bacteria and the surrounding tumor microenvironment. The average pore size of Chitosan/β-glycerophosphate hydrogel equals 56.61 ± 18.82 μm [7]. It is too large for efficient trapping of E. coli cells since such big pores will enable bacterial migration from the gel. Initially, we added 4% (w/w) SH to the CH/GP hydrogel, intending to decrease the pore size. SEM images of Chitosan/β-glycerophosphate/Sodium Hyaluronate (4%) can be found in Figure 10. The average pore size was equal to 27.822 µM. This reduction is notable yet insufficient. As a result, we proceeded with further pore size optimization by adding different percentages of hyaluronic acid.
As shown in Table 1, the same percentage of hyaluronic acid led to a drastic reduction of the pore size, so we did not see any of them on SEM Images of the gel (Figure 15). Therefore, cross-linking between sodium hyaluronate and β-glycerophosphate is lower than between hyaluronic acid and β-glycerophosphate. As demonstrated in Figure 15, Chitosan/β-glycerophosphate/Hyaluronic acid (4% w/w) hydrogel has a film-like appearance. We did not observe any pores, even at 5.00 K X magnification. It is possible that the addition of hyaluronic acid (4% w/w) reduced the pore size to a nanometer scale. However, it was impossible to test this hypothesis because when we aimed for greater magnification, the gel began to change its morphology and form bubbles due to electron bombardment of a small area. We can conclude that hyaluronic acid, even in relatively small quantities, can significantly reduce the pore size of the Chitosan/Glycerophosphate hydrogel. Lack of pores would substantially reduce (and possibly eliminate) bacterial proliferation since macromolecule exchange would be inhibited in such gels. No pores were observed on Chitosan/β-glycerophosphate/Hyaluronic acid (3% w/w) hydrogel (Figure 14).
Table 1. Correlation of the pore sizes of CH/GP/HA hydrogels to the proportion of hyaluronic acid.
CH proportion |
GP proportion |
HA proportion |
Total DI Water |
Average pore size |
60 mg |
300 mg |
0 mg |
2.5 mL |
56.61 ± 18.82 μm [7] |
60 mg |
300 mg |
1.875 mg (0.5% w/w) |
2.5 mL |
18.39 μm |
60 mg |
300 mg |
3.75 mg (1% w/w) |
2.5 mL |
11.54 μm |
60 mg |
300 mg |
7.5 mg (2% w/w) |
2.5 mL |
3.94 μm |
60 mg |
300 mg |
11.25 mg (3% w/w) |
2.5 mL |
Not Observed |
60 mg |
300 mg |
15 mg (4% w/w) |
2.5 mL |
Not Observed |
The results of the SEM imaging of Chitosan/β-glycerophosphate/Hyaluronic acid (0.5% w/w) hydrogel are illustrated in Figure 11. The average pore size of this hydrogel is equal to 18.39 μm. Figure 12 contains the SEM image of Chitosan/β-glycerophosphate/Hyaluronic acid (1% w/w) hydrogel, which has an average pore size of 11.54 μm. Hence, these two formulations were eliminated from further experiments as the pores could allow high rates of bacterial migration.
Figure 13 demonstrates SEM imaging of Chitosan/β-glycerophosphate/Hyaluronic acid (2% w/w) hydrogel. The average pore size of this hydrogel is equal to 3.94 μm. So far, this data was the most fitting for the sustainment of the objectives of our system. Because of this, this formulation was chosen for further studies and bacterial encapsulation. To evaluate whether this hydrogel would minimize bacterial leakage, the Bacterial Release Test was performed.
Other hydrogels containing different percentages of hyaluronic acid between 2% and 3% could be synthesized in future experiments to select the most optimal formulation.
Bacterial release test
One of the key reasons the system includes hydrogel is that the gel’s matrix can trap bacteria inside and prevent the uncontrolled spreading of the cells in the organism. To evaluate whether Chitosan/β-glycerophosphate/Hyaluronic acid (2%) hydrogel can efficiently encapsulate bacteria and prevent their release into the surroundings, the Bacterial Leakage Test was conducted.
The primary (raw) data of the Bacterial Release Test can be found on the Lab Notebook page, while the calibrated results are summarized in Table 2. The first measurement (1 minute after sample loading) was taken as the baseline for the hydrogel-encapsulated bacteria sample, and the rest of the data from this group was normalized accordingly. The graph demonstrating the change in the OD600 nm of free E. coli cells and Chitosan/β-glycerophosphate/Hyaluronic acid (2%) hydrogel encapsulated E. coli cells can be found in Figure 16. As illustrated, E. coli cells could rapidly grow and increase in the media as free bacteria. However, encapsulation of the E.coli cells into Chitosan/β-glycerophosphate/Hyaluronic acid (2%) hydrogel efficiently prevented the bacteria migration out of the hydrogel. It is essential to note that bacterial release was not observed even at longer elapsed time points (24 hours, 48 hours, and 72 hours).
Table 2. Bacterial release test calibrated data.
|
Sample |
Elapsed Time (hh:mm:ss) |
Encapsulated E.coli |
Free E.coli |
00:01:00 |
0 |
0.0169 |
00:05:00 |
0.0222 |
0.0184 |
00:10:00 |
0.0645 |
0.0211 |
00:30:00 |
0.0092 |
0.0423 |
01:00:00 |
0.0362 |
0.0897 |
03:00:00 |
0.0646 |
0.3948 |
04:00:00 |
0.0997 |
0.4883 |
06:30:00 |
0.1364 |
0.8539 |
14:00:00 |
0.1735 |
1.3961 |
24:00:00 |
0.1646 |
1.633 |
48:00:00 |
0.1655 |
1.8415 |
72:00:00 |
0.1124 |
1.8831 |
Overall, the results of this experiment demonstrate that Chitosan/β-glycerophosphate/Hyaluronic acid (2%) hydrogel can efficiently encapsulate bacteria and minimize their escape to nearby environments. Therefore, integrating such systems could reduce the side effects of conventional bacterial therapies by preventing the unwanted spread of the cells across the organism.
MTT Assay
Literature sources indicate that chitosan-based hydrogels exhibit biocompatibility and biodegradability, which allows us to view their injection into the human body as safe [1, 2]. However, the data regarding the cytotoxic effects of Chitosan/β-glycerophosphate/Hyaluronic acid hydrogel on bacterial cells was not found. Hence, an MTT Assay was conducted to evaluate whether this formulation is suitable for bacterial encapsulation. This test is necessary since, in the case of high cytotoxicity of the gel to bacteria, it cannot be used in combination with bacterial therapeutics as most of the cells will not survive, and, as a result, the payload for treatment will be minimal.
Table 3 represents calibrated MTT Assay results. Raw data can be found on the Lab Notebook page. Figure 17 illustrates calibrated results in the form of box plots. The main principle of MTT Assay is based on the reaction in which nicotinamide adenine dinucleotide phosphate (NADPH)-dependent oxidoreductases reduce yellow 3-(4,5-dimethylthazolk-2-yl)-2,5-diphenyl tetrazolium bromide (MTT reagent) to a formazan, which forms insoluble purple granules. Hence, this method is applied to evaluate cell viability under specific conditions (such as the presence of certain chemicals). The first column (Bacteria/LB sample) was used as a positive control in this experiment. The second column contained Bacteria/Chloramphenicol (bacteriostatic antibiotic) and served as a negative control. The last two columns were filled with LB broth and empty hydrogel. 3-(4,5-dimethylthazolk-2-yl)-2,5-diphenyl tetrazolium bromide was also added to these columns. The results of the controls satisfied our expectations since the positive control demonstrated a proper reduction of the MTT reagent by living cells. In contrast, the negative controls showed that in the absence of cells, the MTT reagent remains yellow, and the degree of color change (and, consequently, OD570 nm value) is proportional to the number of viable cells in the sample.
Table 3. MTT Assay calibrated data.
Sample |
Bac/LB |
Bac/Chl |
Bac/Gel |
A |
1.680740875 |
0.765178875 |
0.56598775 |
B |
1.362780875 |
0.973510875 |
1.12236775 |
C |
1.440980875 |
0.726283875 |
1.07879775 |
D |
1.414380875 |
0.790633875 |
0.86929775 |
E |
1.401720875 |
0.672601875 |
1.05484775 |
F |
1.247490875 |
0.895230875 |
0.98855775 |
G |
1.069670875 |
0.973860875 |
0.99048775 |
H |
1.2202709 |
0.826714875 |
2.02034775 |
Mean |
1.373449 |
0.828002 |
1.0863365 |
As can be observed in Figure 17, the box plot of Bac/Gel samples is stretched. This is because the hydrogel consistency is not homogeneous, with some small clumps that form upon solidification. Photometric measurements were set to 570 nm. The calibrated mean optical density of the positive control (mean OD of LB was used as a blank) is equal to 1.373449, while the value for E.coli/Hydrogel samples (mean OD of hydrogel was used as a blank) is 1.0863365. Therefore, Chitosan/β-glycerophosphate/Hyaluronic acid hydrogel affects bacterial viability by reducing it to 20.9045%. Hence, we can conclude that Chitosan/β-glycerophosphate/Hyaluronic acid hydrogel is suitable for bacterial encapsulation as it does not demonstrate a significant adverse effect on bacterial proliferation, and its cytotoxicity is within acceptable range.
Plasmid simulations
Our team encountered difficulties in plasmid import due to external factors, so we could not perform plasmid purification, bacterial transformation, protein synthesis and purification in practice. Thus, we decided to simulate plasmid agarose electrophoresis and Colicin E1 SDS-PAGE gel electrophoresis using specialized software.
Agarose gel electrophoresis results shown in Figure 19 were obtained through SnapGene software [8], dedicated to the design of plasmid and virtual simulations of it. The plasmid was preliminary run at 1.0% agarose gel electrophoresis, with 1st good showing linear plasmid and 2nd demonstrating its supercoil formation. The expected results should show both DNA bands in one well. However, the limitations of SnapGene did not allow us to perform such a simulation.
The virtual simulation of SDS-PAGE gel electrophoresis was performed using ECEP2D learning software [9], which produces gel electrophoresis images using a preliminarily inserted protein amino acid sequence. The amino acid sequence was taken from the plasmid designed by our team. As can be observed from Figure 20, the expected band at 57 kDa is seen, which stands for colicin E1.
The mandatory requirement of ECEP2D software is to run an SDS-PAGE gel electrophoresis simulation with protein being digested by enzymes present in the list of the software. This obstacle was bypassed by choosing an enzyme that does not cleave the protein of interest. In our case, we used Trypsin M, which did not cut the sequence of colicin E1 we entered.
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