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DOI: 10.1055/a-2307-0400
Statistical Experimental Designs for cLTB-Syn Vaccine Production Using Daucus carota Cell Suspension Cultures
Abstract
The carrot-made LTB-Syn antigen (cLTB-Syn) is a vaccine candidate against synucleinopathies based on carrot cells expressing the target antigen LTB and syn epitopes. Therefore, the development of an efficient production process is required with media culture optimization to increase the production yields as the main goal. In this study, the effect of two nitrogen sources (urea and glutamate) on callus cultures producing cLTB-Syn was studied, observing that the addition of 17 mM urea to MS medium favored the biomass yield. To optimize the MS media composition, the influence of seven medium components on biomass and cLTB-Syn production was first evaluated by a Plackett–Burman design (PBD). Then, three factors were further analyzed using a central composite design (CCD) and response surface methodology (RSM). The results showed a 1.2-fold improvement in biomass, and a 4.5-fold improvement in cLTB-Syn production was achieved at the shake-flask scale. At the bioreactor scale, there was a 1.5-fold increase in biomass and a 2.8-fold increase in cLTB-Syn yield compared with the standard MS medium. Moreover, the cLTB-Syn vaccine induced humoral responses in BALB/c mice subjected to either oral or subcutaneous immunization. Therefore, cLTB-Syn is a promising vaccine candidate that will aid in developing immunotherapeutic strategies to combat PD and other neurodegenerative diseases without the need for cold storage, making it a financially viable option for massive immunization.
#
Keywords
Daucus carota - Apiaceae - optimized medium culture - oral carrot-based vaccine - response surface methodology - synucleinopathiesAbbreviations
Introduction
Synucleinopathies are a group of neurodegenerative diseases characterized by the manifestation of protein bodies rich in alpha synuclein (α-Syn) in the CNS. The constant damage represented by α-Syn aggregates in different regions and cell types and results in pathologies such as Parkinsonʼs disease, multiple system atrophy, and dementia with Lewy bodies [1]. The rise in the incidence and prevalence of synucleinopathies (~ 1.5 million people only in the US) would be the result of the increase in life expectancy [2]. More than 35/100 000 new cases per year have been registered for Parkinsonʼs disease, making it the second most important neurodegenerative disease of the world [3]. Multiple factors are implicated in synucleinopathies to manifest aging, environmental factors, oxidative stress, mitochondrial dysfunction, and genetic factors [4]. The α-Syn (140 amino-acid protein) has important functions related to the correct fusion of dopamine-loaded vesicles to the presynaptic membrane [5]. Most current treatments are palliative, and a specific biomarker has not been achieved to predict or diagnose precisely; however, contributions to the pathophysiological area have made it possible to design promising therapeutic strategies. Innovative approaches include reduction in α-Syn accumulation and cell-to-cell transfer through active immunization [6]. Immunization induced the production of antibodies with the ability to recognize α-Syn in histological sections of the brain with Parkinsonʼs disease without evidence of cytotoxic effects [7]. The possibility of finding new protein production platforms with more significative advantages, such as suspension plant cells for producing recombinant proteins, was opened [8]. In addition to being feasible for oral administration, plant-based vaccines offer low production costs, high biosynthetic capacity, greater safety, easy scale-up, stability, and the ability to produce N-glycosylated proteins [9].
Carrot (Daucus carota L.) is a member of the Apiaceae family, and it is classified as a root vegetable. The edible taproot of carrot is widely consumed due to its dietary value in carotenoids, flavonoids, anthocyanins, vitamins, and minerals. Transformation in carrot cells has proven to be an attractive bioreactor for obtaining different secondary metabolites of industrial interest [10], [11], [12]. Furthermore, transgenic carrot cells have produced other therapeutic proteins and pharmaceuticals [13], [14]. The optimization media composition has become an attractive approach for increasing the productivity of plant-made recombinant proteins [15]. The ʼone-factor-at-a-timeʼ is a time-consuming and laborious approach; thereby, these limitations can be overcome by optimizing all influencing factors together by applying factorial design and response surface methodology (RSM) [16]. Factorial designs are employed when it is necessary to investigate the impact of multiple factors on a response simultaneously. RSM is the statistical method and analytical strategy widely applied in optimization studies by exploring the influence of experimental variables and their interactions with a few experimental trials [17]. The use of optimization statistical approaches has been investigated with plant cell suspension cultures for secondary metabolites production [18] or for increased antibody production in tobacco BY-2 cells [19].
In the present study, we used PBD to screen the essential factors and RSM to evaluate the interactions among the influential factors and select optimum conditions for the optimization of MS media for transformed Daucus carota cell suspension cultures, aiming to enhance the growth and cLTB-syn yields at the shake-flask and bioreactor scales. Moreover, the immunogenic properties of cLTB-Syn in terms of inducing systemic and mucosal humoral responses in mice were confirmed.
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Results
The maximum dry weight biomass of Z4 calluses was achieved with 17 mM of urea in the B5 (0.41 g DW) and MS media (0.31 g DW), representing two- and threefold increases in comparison to standard salt B5 and MS media, respectively ([Fig. 1]). However, it was observed that the biomass obtained with glutamate was lower (0.19 g DW in B5 and 0.22 g DW in MS media), and no significative difference (p < 0.05) was found by statistical analysis (Tukey test) in comparison to the standard B5 and MS media.
The PDB model was used to describe the interaction among factors and to screen and evaluate the important factors that influence the response. Experimental design and results for the PBD experiments are shown in [Table 1]. According to the PBD analysis, there were four treatments with higher biomass production of up to 18.9 g/L DW and three treatments with higher cLTB-Syn production of up to 0.23 µg/g DW. Studentʼs t-test for ANOVA was used to screen the variables exhibiting significant effects (Table 1S, Supporting Information), and the effects of each factor are graphically represented in a Pareto chart, which independently shows the principal factors that have a positive effect on the response variable (Fig. 1S, Supporting Information). In addition, the model F value of 5.75 indicates the significance of the model used, and the values of p < 0.05 indicate that model terms are significant to inoculum size, pH, and urea factors. The statistical significance of the model was also confirmed by the coefficient of determination, R2, which was found to be 0.9875, indicating the model could explain 98% of the variability in the response. The predicted R2 value of 0.9154 was in reasonable agreement with the adjusted R2 of 0.9273.
Run |
F1 |
F2 |
F3 |
F4 |
F5 |
F6 |
F7 |
Biomass |
cLTB-Syn (µg/g DW) |
---|---|---|---|---|---|---|---|---|---|
F1: sucrose (g/L); F2: urea (mM); F3: glutamate (mM); F4: Light (Dark/Photoperiod); F5: pH (5.0 – 5.7); F6: Inoculum (g/L); F7: Phytoregulators (2,4-D, Kin) |
|||||||||
1 |
1 |
1 |
1 |
− 1 |
− 1 |
− 1 |
1 |
6.9 ± 0.81 |
0.10 ± 0.01 |
2 |
1 |
1 |
− 1 |
− 1 |
− 1 |
1 |
1 |
18.8 ± 0.82 |
0.23 ± 0.05 |
3 |
1 |
− 1 |
1 |
1 |
− 1 |
1 |
1 |
15.8 ± 0.99 |
0.20 ± 0.01 |
4 |
− 1 |
− 1 |
− 1 |
− 1 |
− 1 |
− 1 |
− 1 |
7.4 ± 0.26 |
0.11 ± 0.01 |
5 |
− 1 |
− 1 |
− 1 |
1 |
− 1 |
1 |
1 |
14.6 ± 0.65 |
0.13 ± 0.01 |
6 |
− 1 |
1 |
1 |
1 |
− 1 |
− 1 |
− 1 |
12.8 ± 0.62 |
0.08 ± 0.02 |
7 |
1 |
− 1 |
1 |
1 |
1 |
− 1 |
− 1 |
9.0 ± 0.82 |
0.17 ± 0.09 |
8 |
− 1 |
1 |
1 |
− 1 |
1 |
1 |
1 |
18.7 ± 0.50 |
0.09 ± 0.07 |
9 |
1 |
1 |
− 1 |
1 |
1 |
1 |
− 1 |
17.6 ± 0.80 |
0.21 ± 0.01 |
10 |
− 1 |
− 1 |
1 |
− 1 |
1 |
1 |
− 1 |
18.9 ± 0.68 |
0.14 ± 0.05 |
11 |
1 |
− 1 |
− 1 |
− 1 |
1 |
− 1 |
1 |
17.1 ± 0.65 |
0.13 ± 0.09 |
12 |
− 1 |
1 |
− 1 |
1 |
1 |
− 1 |
1 |
11.9 ± 0.28 |
0.12 ± 0.08 |
13 |
1 |
1 |
− 1 |
1 |
1 |
1 |
1 |
16.1 ± 0.55 |
0.15 ± 0.01 |
14 |
− 1 |
1 |
− 1 |
1 |
1 |
1 |
1 |
16.5 ± 0.85 |
0.13 ± 0.03 |
Based on PBD and Pareto chart analysis, only three independent variables (inoculum size, urea, and pH) exhibited positive t-values, and therefore, high impact on growth and cLTB-Syn accumulation were selected. The light, sucrose, and phytoregulators factors were maintained at the same levels according to the standard MS medium.
For optimizing, the CCD model was used to obtain the combination of values that optimizes the three input variables, leading to a minimal number of experiments to identify the optimal conditions for the desired response. The experimental design and results for CCD responses in optimal conditions are given in [Table 2]. The analysis of variance (ANOVA) representing the results of the quadratic response surface model (Table 2S, Supporting Information) revealed that the values of the adjusted determination coefficient (adj. R2) and determination coefficient (R2) were 0.9276 and 0.9741, respectively, which indicated the significance of the model to describe the experimental observations. The lack of a fit value of 19.95 was observed, suggesting that the model was highly significant and showed the feasibility of the model to predict the variations accurately.
Run |
Inoculum size |
Urea |
pH |
Biomass |
cLTB-Syn |
---|---|---|---|---|---|
1 |
0 |
0 |
0 |
10.7 ± 3.04 |
0.075 ± 0.026 |
2 |
0 |
− 1 |
1 |
13.7 ± 1.49 |
0.116 ± 0.042 |
3 |
1 |
0 |
1 |
15.2 ± 2.04 |
0.134 ± 0.208 |
4 |
− 1 |
0 |
− 1 |
6.32 ± 0.15 |
0.075 ± 0.094 |
5 |
0 |
1 |
− 1 |
12.6 ± 1.91 |
0.102 ± 0.027 |
6 |
0 |
0 |
0 |
10.2 ± 1.47 |
0.064 ± 0.055 |
7 |
− 1 |
0 |
1 |
7.41 ± 1.79 |
0.071 ± 0.072 |
8 |
1 |
− 1 |
0 |
16.5 ± 1.02 |
0.185 ± 0.071 |
9 |
0 |
0 |
0 |
10.5 ± 2.21 |
0.056 ± 0.065 |
10 |
0 |
− 1 |
− 1 |
11.4 ± 3.23 |
0.122 ± 0.027 |
11 |
1 |
1 |
0 |
17.6 ± 2.92 |
0.179 ± 0.051 |
12 |
0 |
1 |
1 |
11.3 ± 0.52 |
0.107 ± 0.063 |
13 |
− 1 |
− 1 |
0 |
12.2 ± 0.80 |
0.114 ± 0.016 |
14 |
1 |
0 |
− 1 |
16.3 ± 0.10 |
0.133 ± 0.085 |
15 |
− 1 |
1 |
0 |
9.5 ± 0.351 |
0.119 ± 0.081 |
A polynomial mathematical model incorporating the different interactions of low and high concentrations of different variables was proposed concerning growth production:
Biomass = − 130.087 + 1.07286 × F + 1.69048 × B + 48.06463 × E + 0.38000 × F × B – 0.628571 × F × E − 2.57143 × B × E + 0.202667 × F2 + 2.21667 × B2 − 3.53741 × E2
where F, B, and E are inoculum size, urea, and pH, respectively.
The results suggest that interactions between (F) and (B) were significant (p < 0.05) for biomass production. The interactions between (F), (B), and (E) were not significant. Regarding the quadratic terms, (F2), and (B2) showed significant effects (p < 0.05) in contrast to the nonsignificant effect of (E2), based on interactions between factors. These results indicate that the concentrations of urea and inoculum size in the cultivation media have substantial influence on the biomass of D. carota.
The model Equation (1) representing biomass production was solved for different sets of nutrient concentrations to develop contour plots and study the response of nutrient interactions. Thus, three-dimensional response surface plots were generated for the interactions between two variables by keeping the other variables at their central levels for biomass production. The effect of interaction between the inoculum size and urea had a positive effect on growth when the optimal values were kept to those closest to its level (+ 1) ([Fig. 2]).
The maximum biomass was obtained when the inoculum size was around 10 g/L and urea was 3 g/L; then, biomass declined with decreasing urea and inoculum. Because of that, it was decided to keep the inoculum size and urea concentrations at higher levels. Similar trends were observed in the interactions effect between inoculum size and pH (Fig. 2S, Supporting Information). The inoculum size presents a positive trend effect on the response, while the pH generates a decrease in the biomass values, so the optimal pH values would be found at the level (− 1). In the last interaction, the effect between pH and urea when the inoculum size remains at the central level was assessed (Fig. 3S, Supporting Information). In this case, both urea and pH, by increasing their quadratic effect, generate a slight increase in growth values, so the optimal values of both factors would be at the level of (+ 1 and − 1). The observed surface graphs, together with their respective contour graphs, presented elliptical shapes, which indicates the simultaneous or interaction effects between the factors on the response variable. Desirability charts of the RSM optimization are given in Fig. 4S (Supporting Information). The maximum desirability was achieved within an inoculum size range of 9.98 g/L to 2.9 g/L of urea. Desirability was zero below 5 g/L of inoculum and below 1.9 g/L of urea (Fig. 4S, Supporting Information).
Based on the different response curves generated, the optimum concentrations for the three components as obtained from the maximum point of the model were calculated as follows: 30 g/L of sucrose; 3 g/L (17 mM) of urea; 9.97 g/L of inoculum size (FW), and pH: 5.0. The model predicted 19.2 g/L biomass production at these optimum nutrient concentrations.
The growth profile of suspension cells from the MSRZ4 ([Fig. 3]) line in a shake flask containing 100 mL of MSR media showed a lag phase (3 days), log/exponential phase (9 days), stationary phase (3 days), and death phase (6 days) ([Fig. 3 a]). The maximum biomass was 17.9 g/L DW after 15 days of culture, with a growth rate of µ= 0.111/d, a td of 6.2 days, and biomass yield (YX/S) of 0.53. Variation in pH is also shown in [Fig. 3 a]. Initially, the pH drops to 4.6 within the first 4 days, then stabilizes between 5.4 and 5.5 until the end of the kinetics. The consumption of sugars started in the first three days of culture (lag phase). Initially, sucrose is converted into glucose and fructose due to cytoplasmic invertase; then, the cells first begin to consume glucose and then fructose until they are entirely depleted at day 15 ([Fig. 3 b]). During the kinetics, it was observed that the cell viability decays slowly after day 21 with up to 85% viability ([Fig. 3 c]). The cLTB-Syn production increased (on 6 day) until reaching maximum expression during exponential phase at 15 days (2.83 µg/g DW) and was maintained until the end of the growth kinetics ([Fig. 3 d]). The maximum protein yield (YP/X) reached was 0.16 µg cLTB-Syn/g cell with a qp of 0.14 µg cLTB-Syn/g cell/d. On the other hand, PCR analysis confirmed the presence of the LTB-Syn gene in the cell suspension MSRZ4 line cultured in shake flasks ([Fig. 4 a]). Moreover, the presence of the LTB-Syn protein in the soluble extracts during the shake-flask kinetics was confirmed by dot blot ([Fig. 4 b]).
After obtaining the optimal medium by statistical design, we tested its feasibility in a 2 L airlift bioreactor with an aeration rate of 1.5 vvm, a temperature of 25 °C, and a DO level of 80%. The growth profile of the suspension cell MSRZ4 line in a 2 L bioreactor under optimal culture conditions is shown in [Fig. 5 a]. After the first 2 days, the cells grew exponentially with a µ=0.121/d, a td of 6 days, and a biomass yield (YX/S) of 0.93. The maximal cell dry mass reached was 37 g/L in 8 days. During the growth kinetics, the variance in pH value was similar to that observed for shake flask; initially, the pH dropped from 5.1 to 4.8 after, and then it remained stable and relatively high at the end of the cultivation period (from 5.3 to 6.1) ([Fig. 5 b]). The kinetic data for the cell growth and C-source consumption curves during growth in the airlift bioreactor are shown in [Fig. 5 c]. During the exponential phase, glucose was completely consumed after 10 days. However, the carbon sources were not completely consumed at this time, observing that fructose remained in the culture medium on day 10 with a subsequent total consumption 4 days later (about 14 days at the end of the cultivation period). The cLTB-Syn production profiles for the optimal culture conditions are shown in [Fig. 5 d.] The curve for cLTB-Syn production increased gradually during the exponential growth phase (in 2 days) and then increased sharply with a maximal production of 4.3 µg cLTB-Syn/g DW in 14 days and a qp of 0.18 µg cLTB-Syn/g cell/d. During the growth phase, the DO decreased gradually and reached a minimal value of 25% saturation after 8 days and then increased gradually, reaching about 75% saturation by the end of the cultivation process.
PCR analysis confirmed the presence of an LTB-Syn transgene in the growth kinetics of MSRZ4 line at the beginning and end in the airlift bioreactor culture (at day 0 and day 16) ([Fig. 6 a]). Moreover, the detection of cLTB-Syn in the soluble extracts during the airlift bioreactor kinetics was confirmed by dot blot ([Fig. 6 b]).
The immunogenicity of the cLTB-Syn was tested in mice using biomass from the MSRZ4 cell line produced in the bioreactor due to its higher antigen content and consistent growth kinetics. The immunization schedules comprised either oral or s. c. immunization or two s. c. immunizations followed by an oral boost. Antibody measurements performed by ELISA to measure IgG against LTB or Syn peptides revealed low humoral responses on day 27, with a notable increase on day 42 after the last boost ([Fig. 7 a]). Oral immunization with the MSRZ4 line led to significant anti-LTB and anti-Syn peptides IgG responses, which are similar in magnitude to the response induced by the scheme based on the s. c. immunization with Syn peptides ([Fig. 7 b]). An oral boost in mice s. c.-immunized with Syn peptides did not improve the systemic IgG response. This result was seen for serum IgG and intestinal IgA responses to either LTB or Syn epitopes. Regarding mucosal humoral responses, significant anti-Syn IgA levels were detected on day 42 in feces from mice subjected to s. c., immunization followed by oral boosting with MSRZ4, whereas the group immunized orally only with MSRZ4 did not induce a significant IgA response ([Fig. 8]). None of the experimental groups showed significant IgG responses at the mucosal level. Overall, these data suggest that oral boosting after systemic immunization led to a better mucosal immune response.
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Discussion
Nitrogen has a fundamental role in the growth of plant cells and is directly related to the biosynthesis of amino acids and proteins. Here, we observed that the urea (17 mM) present in MS and B5 media had a better response over the growth of calluses. This strongly suggests that an additional nitrogen source did not affect the metabolism and was necessary for stable biomass production in the carrot Z4 line. This could be because urea provides a readily available nitrogen source, implying that the formation is necessary for the carbon skeleton or the reduction of nitrate to ammonium. Moreover, it has been demonstrated that plants possess sufficient urease activity to process urea even at higher external concentrations [20]. However, when cell plant culture grows solely with urea, there are higher levels of amino acid concentrations (in particular glutamine and asparagine) that could cause growth depression, possibly due to these amino acids leading to the sensing of a high nitrogen abundance, resulting in the restriction of further nitrogen uptake and distribution [21]. Interestingly, in our study, growth deficits were not observed when urea was supplied together with nitrates present in MS and B5 media. Similar findings have been reported for nitrate boosts, urea uptake, and urea nitrogen assimilation in Arabidopsis and wheat cultures [22], [23]. Glutamate added in MS and B5 media was not efficient as organic nitrogen sources, having an inhibition effect on the growth of calli cultures compared to the media added with urea. This effect could be due to the specific inhibition of one or more of the steps of nitrate assimilation leading to nitrogen starvation. Some reports showed that using amino acid sources inhibits the growth of plant cell suspension cultures [24], [25] due to the inhibition of nitrate reductase activity affecting the assimilation of intracellular ammonium [26].
Based on the results described above, we decided to explore the optimal operational conditions and environmental parameters for carrot Z4 cell line cultures in order to have a favorable impact on cLTB-Syn vaccine yields, which is a candidate for the treatment of synucleinopathies. Previously, we reported cLTB-Syn production with D. carota using standard MS medium (an approach without changing the medium composition) and represented a viable platform to optimize culture conditions and achieve short doubling times in shake-flask cultures, as well as to enhance the productivity of cLTB-Syn in an airlift bioreactor [27]. Therefore, we initiated the optimization of culture conditions based on multifactorial experimental designs with PBD and RSM. The PBD considered three parameters, pH, urea, and inoculum size, as significant for achieving optimum biomass yield. These parameters were further optimized by central composite designs (CCD) under RSM, and after validating the model, the kinetic study was carried out. Here, a 1.2-fold enhancement of biomass yield and a 4.5-fold enhancement of LTB-Syn yield was achieved in the shake-flask scale. Statistical experimental designs have frequently been adopted to optimize microbial systems; however, fractional factorial designs were applied to tobacco BY-2 cells to maximize yields of antibody production using a combination of KNO3, NH4NO3, CaCl2, 2,4-D, and BAP in MS media [28]. Another process of optimization consisted of testing the combinatorial effect of different cultivation parameters such as temperature, incubation time, inoculum density, and lighting on biomass production in pear cell suspension cultures [29]. Other studies determined favorable conditions using RMS designs to improve metabolite production using different inoculum densities, inoculum age, and carbon source concentrations in cell suspension of T. officinale [30]. In summary, these results show that multifactorial designs are as important as cell line and vector development for increasing plant cell culture productivity. In this study, to enhance productivity, the cLTB-Syn production cultivation in a 2 L airlift bioreactor under the operating mode described in methodology was implemented. The value used in the bioreactor was kLa for the 1.5 vvm with an 80% saturation level of the dissolved oxygen (DO) parameter settings. Here, kLa aids in determining the capacity of the bioreactor to sustain optimum cell growth, and it is also one of the most essential scale-up factors [31]. With these conditions, it was possible to increase the biomass yield by 1.5 times and cLTB-Syn yield by 2.8 times compared to that obtained previously [27]. The enhancement of these yields in airlift systems may be due to better mixing between the air/liquid phase and increased oxygen availability, which is important for continuous nutrient supply in the cultured cells [32]. In addition, the kLa value use increased proportionally along with the aeration rate (1.5 vvm) and favored the growth of carrot cells, which could be due to a greater amount of oxygen provided by the increased air flow rate. However, an increase in the aeration rate also demands more energy, which needs to be considered in the overall cost analysis.
[Table 3] compares all kinetic parameters obtained in shake flasks and the airlift bioreactor operated at the above-reported optimal conditions. By comparison of these two cultivation strategies, cell viability, change in pH medium, and sugar consumption were similar in both cases despite the changes in the variables evaluated. The µ values and td in the airlift bioreactor culture were similar in the shake-flask culture. Nevertheless, in the airlift bioreactor, the YX/S was 1.75 greater, YP/X was 0.5 greater, and qp was 1.2 times greater than in the shake-flask scale. Moreover, the cLTB-Syn expression was higher since day 6 in the bioreactor, which represents 9 days less than the previously obtained data in the shake flask and bioreactor with standard MS medium [27]. We hypothesized that this increase in cLTB-Syn expression was due to active cell division provided by the optimal conditions in the bioreactor. Therefore, we demonstrated that cLTB-Syn expression in the bioreactor could be used for constant and continuous production within a short period of time. Similar observations were obtained with recombinant miraculin in carrot cell cultures using an airlift bioreactor [33]. It is worth noting that the aeration volume (1.5 vvm) used in the bioreactor ensured sufficient nutrient supply to the cultured cells for enhanced biomass and cLTB-Syn production. Moreover, aeration volume provides important gases such as oxygen, carbon dioxide, and possibly others, such as ethylene, to the culture cells [34]. Selection of suitable aeration volume in airlift yielded optimal results for the production of ginsenosides [35], protopanaxadiol [36], and diterpenoids [37]. cLTB-Syn production can be further improved by employing advanced culture optimization strategies such as fed-batch culture, perfusion culture, or semi-continuous culture in airlift bioreactors.
Parameters |
Type of cultivation vessel |
|
---|---|---|
Shake flask |
Bioreactor |
|
Abbreviations: Xmax, maximal cell dry weight; µ, specific cell growth rate; td; duplication time; Pmax, maximal cLTB-Syn production; qp, specific production rate. yield coefficients: YP/X, [µ] cLTB-Syn produced/[g] cell dry weight; YX/S, [g] biomass/[g] sucrose |
||
Xmax (g/L) |
17.9 |
37.7 |
µ (1/h) |
0.111 |
0.114 |
td (days) |
6.2 |
6.0 |
Pmax (µg/g DW) |
2.8 |
4.3 |
YX/S (g/g) |
0.53 |
0.93 |
YP/X (µg/g) |
0.16 |
0.05 |
qp (µg/g/d) |
0.14 |
0.18 |
Second, we explored different immunization schemes in which the administration route was selected as the main variable to determine if mucosal immunization is a feasible approach to optimize the immune response induced by cLTB-Syn. Here, we demonstrated that oral boosting with LTB-Syn bioencapsulated in carrot cells is as effective as the s. c. formulation based on synthetic peptides and a strong adjuvant. In addition, we observed that oral boosting using the chimeric LTB-Syn antigen from carrot material without adjuvant led to an increase in the systemic IgG and the induction of intestinal IgA responses in mice previously s. c.-immunized with the Syn1-3 peptides compared with the group treated with WT carrot cells, which confirms the oral immunogenicity of the antigen delivered to GALT by the carrot cells regardless of the presence of exogenous adjuvants. As a result of these benefits, adjuvants may not be necessary for oral vaccine formulations to initiate an immune response, while injectable vaccines are usually needed to strengthen the immune response. In line with these findings, an oral vaccine candidate against HBV based on maize plants expressing the HBsAg antigen showed the ability to induce IgG responses in the absence of adjuvants and also intestinal IgA responses detected in feces [38]. In other reports, freeze-dried lettuce leaves expressing HBsAg served as oral boosters inducing robust humoral responses in mice previously primed with a commercial HBV vaccine [39]. Thus far, several antigens produced in D. carota have shown a promising immunogenicity when used in prime/boosting schemes including mucosal administration, which include candidates against viral [40], bacterial [41], and noncommunicable diseases [42].
In our study, we observed the highest IgA levels in mice-primed s. c. boosted orally, suggesting that the plant-made antigen delivered by the plant cell achieves the activation of GALT, which may contribute to attaining an optimal immune profile, that is, protection at both the systemic and mucosal levels. Considering the earliest evidence that Parkinsonʼs disease may arise in the gut, hypothetical α-Syn aggregates progress through the vagus nerve to the brain in a prion-like fashion [43]. Oral vaccines against synucleinopathies aimed to block or prevent the α-Syn aggregate propagation at these sites are a potential approach to fight it. Thus far, several approaches have focused on this aspect, such as modulation of the gut microbiota [44], the use of probiotics and prebiotics [45], and lately, the employ of levodopa-carbidopa intestinal gel infusion (LCIG) [46]. Considering that the most expensive part of biopharmaceuticals production is the downstream processing [47], our oral carrot-based vaccine candidate, which requires minimal processing, stands as a promising and accessible candidate having the ability to induce both systemic and mucosal immune responses for integral protection against synucleinopathies onset and treatment. Our study represents a step forward in the development of oral vaccines against synucleinopathies. The path to continuing this development contemplates the evaluation of the vaccine in a disease model followed by toxicity and safety assessment to propose a phase I clinical assay. For the latter, the production of GMP batches will be greatly facilitated by the production process based on fermentation in airlift bioreactors.
In conclusion, the bioprocess to enhance the production of the cLTB-Syn vaccine was suitable for using an airlift-type 2 L bioreactor. In consequence, the airlift bioreactor is appropriate for scale-up in cLTB-Syn production. In addition, the cLTB-Syn vaccine is capable of inducing mucosal immune responses when orally administered, which supports its potential to be evaluated in a disease animal model and determine if cLTB-Syn could be translated into human clinical trials to determine its safety and efficacy against synucleinopathies.
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Materials and Methods
Calluses and cell suspension culture conditions
The carrot cell line Z4 was originally obtained and transformed in a previous work [48]. The carrot Z4 cell line was maintained by our work group for more than three years and used in this work. Calluses of carrot Z4 cell lines were propagated on MS and B5 media solid (Phytotech Labs) + with 30 g/L of sucrose, 2 mg/L of 2,4-D, 2 mg/L of KIN, 2.5 g/L KNO3 (only to B5 medium), and 1.5 g/L of phytagel. The urea and glutamate (added separately) were used as additional nitrogen sources at two different concentration levels (Table 3S, Supporting Information), maintaining the rest of the standard salts of the MS and B5 culture media. The calli cultures were incubated at 25 °C under 16/8 h light/dark photoperiod conditions. Six subcultures were performed at 20-day intervals by inoculating 1.0 ± 0.3 g, FW of biomass into fresh medium to obtain friable callus.
To establish the Z4 cell line suspension cultures, nine subcultures (4.5 months) were performed later by transferring 10% v/v inoculum into fresh medium for their optimization (named the MSRZ4 line). The cultures were maintained at 25 °C in a shaking incubator (120 rpm) under continuous light (50 µmol/m2/s). The non-transformed cell line (WT) was used as the control for PCR, dot-blot, and immunization analyses.
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Plackett–Burman design (PBD)
The PBD model was used to evaluate the relative importance of various nutrients on biomass and cLTB-Syn production. Based on preliminary experiments of this laboratory (data not shown), seven independent variables (sucrose, pH, phytoregulators, inoculum size, radiation, urea, and glutamate) were selected for PBD. Each variable was tested at two levels: the minimum (level − 1) and maximum (level + 1) ranges selected for the above variables are given in Table 4S (Supporting Information).
Twelve randomized experimental trials were conducted in triplicates, and the average value was measured to identify the components affecting cell mass and LTB-syn production of the Z4 cell line. After 15 days of incubation at 25 °C under continuous light and mixing at 120 rpm, the output of variable response was estimated. Variables exerting a significant effect on the reaction were selected using ANOVA analysis and used in RSM. The PBD was generated by the computer software Design-Expert (version 11).
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Response surface methodology (RSM)
After the adequate nutrients were identified from the PBD, RSM was used to determine the optimum concentration level of the parameters and condition for optimization of biomass and cLTB-Syn production. A 23 factorial central composite design (CCD) model, with six axial points and three replicates at the center points leading to a total of 15 sets of experiments, was used to optimize the three selected variables (inoculum, urea, and pH) to give maximum biomass and cLTB-Syn (Table 5S, Supporting Information). The cultures were incubated in a shaking incubator at 120 rpm and maintained at 25 °C under continuous light. The flasks were harvested in triplicate after 15 days and analyzed for dry cell weight and cLTB-Syn production. The RSM design was developed using Design-Expert software (version 11). A second-order polynomial equation (ANOVA) was used to determine the interaction between the manipulated variables, and the response surface plot was obtained.
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Kinetic growth conditions in shake flask and bioreactor
The Monod model was used in growth kinetics to describe the specific growth rate and the decay of biomass based on the concentration of the limiting substrate in the culture medium. For shake-flask kinetic studies, the Z4 cell suspension line was inoculated at 10% v/v (10 ± 0.2 g FW) ratio into 250 mL Erlenmeyer flasks with 100 mL of MSR medium (supplemented with 30 g/L of sucrose, 2 mg/L of 2,4-D + 2 mg/L of KIN, 17 mM of urea, and pH 5.0). The shake-flask cultivations were incubated at 25 °C under continuous light (50 µmol/m2/s) in a gyratory shaker (120 rpm) for 24 days. The bioreactor cultivations were carried out in a 2 L concentric draft-tube internal-loop airlift operated previously [27]. The kLa that describes the efficiency with which oxygen can be delivered to a bioreactor was determined by the gassing-out method using MSR medium at 25 °C depending on the aeration volume (0.5, 1.0, 1.5, and 2.0 vvm) [49]. The airlift bioreactor was sterilized for kinetic experiments and filled with a working volume of 80%. The bioreactor was inoculated with 10% v/v (160 g FW) and was grown at 25 °C under continuous light (50 µmol/m2/s) for 16 days. The bioreactor was operated at an aeration rate of 1.5 vvm. The pH and the DO were not controlled, but they were monitored continuously. Any foam formation was governed by the addition of a silicone antifoaming agent (Drogueria Cosmopolita Inc.), and the DO concentrations were analyzed using a polarographic electrode sensor (Cole-Palmer).
#
Statistics and reproducibility
All singular experiment results where statistical calculations were applied used three independent replicates. All data are presented as the mean ± the standard deviation. In the case of bioreactor cultures, two independent experiments were conducted.
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Growth kinetic sampling
Three randomly chosen shake flasks were harvested every three days for kinetic parameters (fresh weight, dry weight, pH variation, cell viability, carbohydrate consumption, and protein production). In the airlift bioreactor, 20 mL of the culture medium samples was taken every two days for the kinetic parameters.
#
Specific growth rate and yields
The specific growth rate (µ) was calculated by the change in biomass concentration per unit of time (d−1). All values were taken from the exponential phase of growth. From µ, the doubling time (td) was calculated as follows:
td= ln2/µ
Cell yield (YX/S) was calculated as (g maximum biomass – g initial biomass)/(sucrose consumed). Product yield (YP/X) was calculated as (µg protein produced)/(g biomass), and specific productivity (qp) was calculated as (µg protein produced)/(biomass per day).
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Analytical procedures
Biomass concentration determination
Fresh weight (FW) was measured by filtering a biomass sample into a pre-dried, pre-weighed, paper disk (4 µm retention) filter connected to a vacuum and then weighing the cells. Dry weight (DW) was determined after freeze-drying the retained cells at − 60 °C for 3 days until constant weight.
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Sugar analysis
HPLC analysis to determine sucrose, fructose, and glucose concentrations were assayed by an IR detector. The column was of the NH2 type, measuring 3.9 × 300 mm, with 125 Å pore size and 10 µm particle diameter (Waters). The predetermined conditions were a mobile phase 80 : 20 acetonitrile : water with an operational flow of 1.0 mL/min.
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Transgene detection by PCR
The transgene LTB-Syn presence was determined by PCR. First, total DNA was isolated from 10 mg DW of carrot MSRZ4 cells and wild-type (WT) lines cultivated in flasks and the bioreactor [50]. PCR and cycling conditions were assessed as previously reported [51]. This procedure was performed in a MultiGene Mini Personal Thermal Cycler (Labnet). The amplicons were analyzed by electrophoresis using 1% agarose gels.
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#
ELISA and dot-blot assays
The LTB-Syn expression levels in 10 mg DW of the carrot MSRZ4 cell line was determined by the ELISA (GM1-ELISA) method according to a previously reported protocol [51]. Protein extract from WT carrot lines was used as a negative control. OD values were at 405 nm (Thermo Scientific, Waltham, MA). A standard curve was included in the assay using known amounts of unmodified pure CTB to quantify the content of the LTB-Syn protein in the carrot cell suspension. The detection of LTB-Syn protein was achieved with a dot-blot assay according to a protocol described formerly [52]. Antibody binding was detected by incubation with Super Signal West Dura solution following instructions from the manufacturer (Thermo Scientific, Waltham, MA). Chemiluminescence detection was performed on the iBright system FL1000 equipment.
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Immunogenicity assessment
Animal handling was conducted according to the Guide for Care and Use of Laboratory Animals of the National Institute of Health (USA) and protocols approved by the Committee on Research Ethics of the Faculty of Chemistry/University of San Luis Potosi (CEID2015048, issued on January 26th, 2015). The immunogenicity of cLTB-Syn expressed in carrot cells was evaluated in 12-week-old BALB/c female mice (body weight = 25 ± 3 g). Experimental mice were randomly assigned to experimental groups (n = 5) that received one of the following treatments: s. c., administration of Syn1-3 peptides on days 0 and 14, followed by an oral boosting with MSRZ4 biomass on day 28 (G1); s. c., administration of Syn1-3 peptides (G2) on days 0, 14, and 28; p. o., administration of MSRZ4 biomass on days 0, 14, and 28 (G3); p. o. administration of wild-type carrot biomass on days 0, 14, and 28 (G4). s. c. formulations were prepared as follows: the doses of Syn1-3 peptides mixed in PBS were emulsified with one volume of complete Freundʼs adjuvant (CFA) for immunization on day 0, while for immunization on days 14 and 28, incomplete Freundʼs adjuvant was used (IFA). Oral formulations were prepared with dry cells from transgenic (MSRZ4) or wild-type carrot lines; 30 mg per dose were resuspended in 300 µL of PBS and administered intragastrically.
#
Determination of antibody titers
Blood samples were obtained on days 0, 28, and 42 and after clotting samples were centrifuged at 13 000 ×g for 10 min. Serum samples were stored at − 80 °C until antibody determination. Feces samples (100 mg) were resuspended in 500 µL of 5% fat-free dry milk in PBS and 1 mM of PMSF (ice cold). Feces suspensions were centrifuged for 15 min at 16 000×g at 4 °C.
An ELISA assay was performed to determine anti-α-Syn and anti-LTB IgG and IgA antibodies in serum and fecal samples, respectively. ELISA plates were coated overnight at 4 °C with 100 ng/well of LTB or 50 ng/well of synthetic Syn1-3 peptides in carbonate buffer. The performed ELISA was based on a previously reported protocol [51]. The ELISA data of the antibody analysis of immunized mice are presented as mean OD values obtained per group at different time points. Statistical differences in antibody levels among groups were determined by a one-way ANOVA using the GraphPad Prism 8 software (p < 0.05).
#
#
Contributorsʼ Statement
Writing-original draft, interpretation of the data; statistical analysis: C. Carreño-Campos; Data collection and methodology: D. O. Govea-Alonso, A. Romero-Maldonado and M. Morales-Aguilar; Conceptualization and supervision: E. Villegas and ME Jimenez-Capdeville; Conceptualization, supervision, funding acquisition, writing-review and editing: S. Rosales-Mendoza, M. L. Villarreal and A. Ortiz Caltempa.
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#
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
This study was funded by CONAHCYT/México (grant number 848 290). We thank Mario Rodríguez-Monroy and Ariadna Zenil Rodríguez for their technical assistance.
Supporting Information
- Supporting Information
The tables and figures used in this study of the ANOVA analysis with Plackett–Burman and CCD designs and the response surface plots for optimization of cLTB-Syn are presented in the supporting information.
-
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Correspondence
Publication History
Received: 22 December 2023
Accepted after revision: 10 April 2024
Article published online:
02 May 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
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References
- 1 Mendoza-Velásquez JJ, Flores-Vázquez JF, Barrón-Velázquez E, Sosa-Ortiz AL, Illigens BW, Siepmann T. Autonomic dysfunction in α-synucleinopathies. Front Neurol 2019; 10: 363
- 2 Savica R, Grossardt BR, Bower JH, Ahlskog JE, Rocca WA. Incidence and pathology of synucleinopathies and tauopathies related to parkinsonism. JAMA Neurol 2013; 70: 859-866
- 3 Dorsey ER, Bloem BR. The Parkinson pandemic-A call to action. JAMA Neurol 2018; 75: 9-10
- 4 Villar-Piqué A, Lopes da Fonseca T, Outeiro TF. Structure, function and toxicity of alpha-synuclein: The Bermuda triangle in synucleinopathies. J Neurochem 2016; 139 (Suppl. 1) 240-255
- 5 Wang Z, Gao G, Duan C, Yang H. Progress of immunotherapy of anti-α-synuclein in Parkinsonʼs disease. Biomed Pharmacother 2019; 115: 108843
- 6 Jankovic J, Tan EK. Parkinsonʼs disease: Etiopathogenesis and treatment. J Neurol Neurosurg Psychiatry 2020; 91: 795-808
- 7 Ghochikyan A, Petrushina I, Davtyan H, Hovakimyan A, Saing T, Davtyan A, Cribbs DH, Agadjanyan MG. Immunogenicity of epitope vaccines targeting different B cell antigenic determinants of human α-synuclein: Feasibility study. Neurosci Lett 2014; 560: 86-91
- 8 Obembe OO, Popoola JO, Leelavathi S, Reddy SV. Advances in plant molecular farming. Biotechnol Adv 2011; 29: 210-222
- 9 Kurup VM, Thomas J. Edible vaccines: Promises and challenges. Mol Biotechnol 2020; 62: 79-90
- 10 Chen WP, Punja ZK. Transgenic herbicide and disease tolerant carrot (Daucus carota L.) plants obtained through Agrobacterium-mediated transformation. Plant Cell Rep 2002; 20: 929-935
- 11 Jayaraj J, Devlin R, Punja Z. Metabolic engineering of novel ketocarotenoid production in carrot plants. Transgenic Res 2008; 17: 489-501
- 12 Takaichi M, Oeda K. Transgenic carrots with enhanced resistance against two major pathogens, Erysiphe heraclei and Alternaria dauci. Plant Sci 2000; 153: 135-144
- 13 Rosales-Mendoza S, Tello-Olea MA. Carrot cells: A pioneering platform for biopharmaceuticals production. Mol Biotechnol 2015; 57: 219-232
- 14 Tekoah Y, Shulman A, Kizhner T, Ruderfer I, Fux L, Nataf Y, Bartfeld D, Ariel T, Gingis-Velitski S, Hanania U, Shaaltiel Y. Large-scale production of pharmaceutical proteins in plant cell culture-the protalix experience. Plant Biotechnol J 2015; 13: 1199-1208
- 15 Ullisch DA, Muller CA, Maibaum S, Kirchhoff J, Schiermeyer A, Schillberg S, Roberts JL, Treffenfeldt W, Buchs J. Comprehensive characterization of two different Nicotiana tabacum cell lines leads to doubled GFP and HA protein production by media optimization. J Biosci Bioeng 2012; 113: 242-248
- 16 Vaidya BK, Mutalik SR, Joshi RM, Nene SN, Kulkarni BD. Enhanced production of amidase from Rhodococcus erythropolis MTCC 1526 by medium optimisation using a statistical experimental design. J Ind Microbiol Biotechnol 2009; 36: 671-678
- 17 Montgomery DC. Design and Analysis of Experiments: Response Surface Method and Designs. New Jersey: John Wiley and Sons, Inc; 2005
- 18 Gorret N, bin Rosli SK, Oppenheim SF, Willis LB, Lessard PA, Rha CK, Sinskey AJ. Bioreactor culture of oil palm (Elaeis guineensis) and effects of nitrogen source, inoculum size, and conditioned medium on biomass production. J Biotechnol 2004; 108: 253-263
- 19 Holland T, Sack M, Rademacher T, Schmale K, Altmann F, Stadlmann J, Fischer R, Hellwig S. Optimal nitrogen supply as a key to increased and sustained production of a monoclonal full-size antibody in BY-2 suspension culture. Biotechnol Bioeng 2010; 107: 278-289
- 20 Pinton R, Tomasi N, Zanin L. Molecular and physiological interactions of urea and nitrate uptake in plants. Plant Signal Behav 2016; 11: e1076603
- 21 Gerendás J, Zhu Z, Sattelmacher B. Influence of N and Ni supply on nitrogen metabolism and urease activity in rice (Oryza sativa L.). J Exp Bot 1998; 49: 1545-1554
- 22 Mérigout P, Lelandais M, Bitton F, Renou JP, Briand X, Meyer C, Daniel-Vedele F. Physiological and transcriptomic aspects of urea uptake and assimilation in Arabidopsis plants. Plant Physiol 2008; 147: 1225-1238
- 23 Garnica M, Houdusse F, Zamarreño AM, Garcia-Mina JM. Nitrate modifies the assimilation pattern of ammonium and urea in wheat seedlings. J Sci Food Agric 2010; 90: 357-369
- 24 Gamborg OL. The effects of amino acids and ammonium on the growth of plant cells in suspension culture. Plant Physiol 1970; 45: 372-375
- 25 Behrend J, Mateles RI. Nitrogen metabolism in plant cell suspension cultures I. Effect of amino acids on growth. Plant Physiol 1975; 56: 584-589
- 26 Claparols I, Santos MA, Torné JM. Influence of some exogenous amino acids on the production of maize embryogenic callus and on endogenous amino acid content. Plant Cell Tiss Organ Cult 1993; 34: 1-11
- 27 Carreño-Campos C, Arevalo-Villalobos JI, Villarreal ML, Ortiz-Caltempa A, Rosales-Mendoza S. Establishment of the carrot-made LTB-Syn antigen cell line in shake flask and airlift bioreactor cultures. Planta Med 2022; 88: 1060-1068
- 28 Vasilev N, Grömping U, Lipperts A, Raven N, Fischer R, Schillberg S. Optimization of BY-2 cell suspension culture medium for the production of a human antibody using a combination of fractional factorial designs and the response surface method. Plant Biotechnol J 2013; 11: 867-874
- 29 Rasche S, Herwartz D, Schuster F, Jablonka N, Weber A, Fischer R, Schillberg S. More for less: Improving the biomass yield of a pear cell suspension culture by design of experiments. Sci Rep 2016; 6: 23371
- 30 Martínez ME, Jorquera L, Poirrier P, Díaz K, Chamy R. Effect of Inoculum size and age, and sucrose concentration on cell growth to promote metabolites production in cultured Taraxacum officinale (Weber) cells. Plants (Basel) 2023; 12: 1116
- 31 Pavlov A, Georgiev MI, Ilieva M. Production of rosmarinic acid by Lavandula vera cell suspension in bioreactor: Effect of dissolved oxygen concentration and agitation. World J Microbiol Biotechnol 2005; 21: 389-392
- 32 Shohael AM, Murthy HN, Paek KY. Pilot-scale culture of somatic embryos of Eleutherococcus senticosus in airlift bioreactors for the production of eleutherosides. Biotechnol Lett 2014; 36: 1727-1733
- 33 Park YJ, Han JE, Lee H, Jung YJ, Murthy HN, Park SY. Large-scale production of recombinant miraculin protein in transgenic carrot callus suspension cultures using air-lift bioreactors. AMB Express 2020; 10: 140
- 34 Thanh NT, Murthy HN, Yu KW, Seung Jeong C, Hahn EJ, Paek KY. Effect of oxygen supply on cell growth and saponin production in bioreactor cultures of Panax ginseng. J Plant Physiol 2006; 163: 1337-1341
- 35 Thanh NT, Murthy HN, Paek KY. Optimization of ginseng cell culture in airlift bioreactors and developing the large-scale production system. Ind Crops Prod 2014; 60: 343-348
- 36 Chun JH, Adhikari PB, Park SB, Han JY, Choi YE. Production of the dammarene sapogenin (protopanaxadiol) in transgenic tobacco plants and cultured cells by heterologous expression of PgDDS and CYP716A47. Plant Cell Rep 2015; 34: 1551-1560
- 37 Navia-Osorio A, Garden H, Cusidó RM, Palazón J, Alfermann AW, Piñol MT. Production of paclitaxel and baccatin III in a 20-L airlift bioreactor by a cell suspension of Taxus wallichiana. Planta Med 2002; 68: 336-340
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