Stoichiometry,Kinetics, and Regulation of Glucose and Amino Acid Metabolism of a Recombinant BHK Cell Line in Batch and Continuous Cultures

Batch and continuous cultures were carried out to study the stoichiometry, kinetics, and regulation of glucose and amino acid metabolism of a recombinant BHK cell line, with particular attention to the metabolism at low levels of glucose and glutamine. The apparent yields of cells on glucose and glutamine, lactate on glucose, and ammonium on glutamine were all found to change significantly at low residual concentrations of glucose (<5 mmol/L) and glutamine (<1 mmol/L) . The uptake rates of glucose and glutamine were markedly reduced at low concentrations, leading to a more effective utilization of these nutrients for energy metabolism and biosynthesis and reduced formation rates of lactate and ammonium. However, the consumption of other amino acids, especially the essential amino acids leucine, isoleucine, and valine and the nonessential amino acids serine and glutamate, was strongly enhanced at low glutamine concentration. Quantitatively, it was shown that the cellular yields and rates associated with glucose metabolism were primarily determined by the residual glucose concentration, while those associated with glutamine metabolism depended mainly on the residual glutamine. Both experimental results and analysis of the kinetic data with models showed that the glucose metabolism of BHK cells is not affected by glutamine except for a slight influence under glucose limitation and glutaminolysis not by glucose, at least not significantly under the experimental conditions. Compared to hybridoma and other cultured animal cells, the recombinant BHK cell line showed remarkable differences in terms of nutrient sensitivity, stoichiometry, and amino acid metabolism at low levels of nutrients. These cell-line-specific stoichiometry and nutrient needs should be considered when designing an optimal medium and/or feeding strategy for achieving high cell density and high productivity of BHK cells. In this work, a cell density of 1.1 × 10⁷ cells/mL was achieved in a conventional continuous culture by using a proper feed medium.     

Dynamic model of CHO cell metabolism

Fed-batch cultures are extensively used for the production of therapeutic proteins. However, process optimization is hampered by lack of quantitative models of mammalian cellular metabolism in these cultures. This paper presents a new kinetic model of CHO cell metabolism and a novel framework for simulating the dynamics of metabolic and biosynthetic pathways of these cells grown in fed-batch culture. The model defines a subset of the intracellular reactions with kinetic rate expressions based on extracellular metabolite concentrations and temperature- and redox-dependent regulatory variables. The simulation uses the rate expressions to calculate pseudo-steady state flux distributions and extracellular metabolite concentrations at discrete time points. Experimental data collected in this study for several different CHO cell fed-batch cultures are used to derive the rate expressions, fit the parameters, and validate the model. The simulations accurately predicted the effects of process variables, including temperature shift, seed density, specific productivity, and nutrient concentrations.     

Impact of dynamic online fed-batch strategies on metabolism, productivity and N-glycosylation quality in CHO cell cultures

As we pursue the means to improve yields to meet growing therapy demands, it is important to examine the impact of process control on glycosylation patterns to ensure product efficacy and consistency. In this study, we describe a dynamic on-line fed-batch strategy based on low glutamine/glucose concentrations and its impact on cellular metabolism and, more importantly, the productivity and N-glycosylation quality of a model recombinant glycoprotein, interferon gamma (IFN-gamma). We found that low glutamine fed-batch strategy enabled up to 10-fold improvement in IFN-gamma yields, which can be attributed to reduced specific productivity of ammonia and lactate. Furthermore, the low glutamine concentration (0.3 mM) used in this fed-batch strategy could maintain both the N-glycosylation macro- and microheterogeneity of IFN-gamma. However, very low glutamine (<0.1 mM) or glucose (<0.70 mM) concentrations can lead to decreased sialylation and increased presence of minor glycan species consisting of hybrid and high-mannose types. This shows that glycan chain extension and sialylation can be affected by nutrient limitation. In addition to nutrient limitation, we also found that N-glycosylation quality can be detrimentally affected by low culture viability. IFN-gamma purified at low culture viability had both lower sialylation as well as glycans of lower molecular masses, which can be attributed to extensive degradation by intracellular glycosidases released by cytolysis. Therefore, in order to maintain good N-glycosylation quality, there is a need to consider both culture viability and nutrient control setpoint in a nutrient-limiting fed-batch culture strategy. A greater understanding of these major factors that affect N-glycosylation quality would surely facilitate future development of effective process controls.     

Metabolism of PER.C6 cells cultivated under fed-batch conditions at low glucose and glutamine levels

This is the first study to examine PER.C6 cell glucose/energy and glutamine metabolism with fed-batch cultures at controlled low glutamine, low glucose, and simultaneous low glucose and low glutamine levels. PER.C6(TM) cell metabolism was investigated in serum-free suspension bioreactors at two-liter scale. Control of glucose and/or glutamine concentrations had a significant effect on cellular metabolism leading to an increased efficiency of nutrient utilization, altered byproduct synthesis, while having no effect on cell growth rate. Cultivating cells at a controlled glutamine concentration of 0.25 mM reduced q(Gln) and q(NH(4)(+)) by approximately 30%, q(Ala) 85%, and q(NEAA) 50%. The fed-batch control of glutamine also reduced the overall accumulation of ammonium ion by approximately 50% by minimizing the spontaneous chemical degradation of glutamine. No major impact upon glucose/energy metabolism was observed. Cultivating cells at a glucose concentration of 0.5 mM reduced q(Glc) about 50% and eliminated lactate accumulation. Cells exhibited a fully oxidative metabolism with Y(O(2)/Glc) of approximately 6 mol/mol. However, despite no increase in q(Gln), an increased ammonium ion accumulation and Y(NH(4)(+)/Gln) were also observed. Effective control of lactate and ammonium ion accumulation by PER.C6 cells was achieved using fed-batch with simultaneously controlled glucose and glutamine. A fully oxidative glucose metabolism and a complete elimination of lactate production were obtained. The q(Gln) value was again reduced and, despite an increased q(NH(4)(+)) compared with batch culture, ammonium ion levels were typically lower than corresponding ones in batch cultures, and the accumulation of non-essential amino acids (NEAA) was reduced about 50%. In conclusion, this study shows that PER.C6 cell metabolism can be confined to a state with improved efficiencies of nutrient utilization by cultivating cells in fed-batch at millimolar controlled levels of glucose and glutamine. In addition, PER.C6 cells fall into a minority category of mammalian cell lines for which glutamine plays a minor role in energy metabolism.     

谷氨酰胺和天冬酰胺对CHO细胞生长、代谢及抗体表达的影响

以离心换液的批培养为例,通过设计谷氨酰胺和天冬酰胺不同的添加方式来考察两者对CHO细胞生长,代谢及产物表达的影响。结果表明：基础培养基中谷氨酰胺和天冬酰胺不能简单地相互替换,缺失谷氨酰胺或天冬酰胺的基础培养基均不能支持dhfr-CHO细胞的正常生长和产物表达,仅谷氨酰胺和天冬酰胺的浓度同时达到4mmol/L,才能满足细胞生长所需。另外,代谢副产物氨的生成仅与谷氨酰胺和天冬酰胺的加和线性相关,与两者添加比例无关。但适当提高天冬酰胺与谷氨酰胺的比例可提高抗体表达水平,同时减少乳酸的生成。因此,为培养基开发与优化过程中谷氨酰胺和天冬酰胺的添加策略提供了依据,为建立高效的流加培养过程奠定了基础。     

Dynamic optimization of hybridoma growth in a fed-batch bioreactor

This study addressed the problem of maximizing cell mass and monoclonal antibody production from a fed-batch hybridoma cell culture. We hypothesized that inaccuracies in the process model limited the mathematical optimization. On the basis of shaker flask data, we established a simple phenomenological model with cell mass and lactate production as the controlled variables. We then formulated an optimal control algorithm, which calculated the process-model mismatch at each sampling time, updated the model parameters, and re-optimized the substrate concentrations dynamically throughout the time course of the batch. Manipulated variables were feed rates of glucose and glutamine. Dynamic parameter adjustment was done using a fuzzy logic technique, while a heuristic random optimizer (HRO) optimized the feed rates. The parameters selected for updating were specific growth rate and the yield coefficient of lactate from glucose. These were chosen by a sensitivity analysis. The cell mass produced using dynamic optimization was compared to the cell mass produced for an unoptimized case, and for a one-time optimization at the beginning of the batch. Substantial improvements in reactor productivity resulted from dynamic re-optimization and parameter adjustment. We demonstrated first that a single offline optimization of substrate concentration at the start of the batch significantly increased the yield of cell mass by 27% over an unoptimized fermentation. Periodic optimization online increased yield of cell mass per batch by 44% over the single offline optimization. Concomitantly, the yield of monoclonal antibody increased by 31% over the off-line optimization case. For batch and fed-batch processes, this appears to be a suitable arrangement to account for inaccuracies in process models. This suggests that implementation of advanced yet inexpensive techniques can improve performance of fed-batch reactors employed in hybridoma cell culture.     

Adaptive fuzzy control of nutrients concentration in fed-batch culture of mammalian cells

An adaptive fuzzy controller was developed to control the glucose and glutamine concentrations in the reactor constant at the desired level. The parameter values of the controller change during the cultivation according to the culture phase which was detected by the lactate concentration. Cultivations with different glucose and glutamine set point concentrations of a recombinant BHK anchorage-dependent cell line were performed in a fed-batch reactor on-line connected with an HPLC system. Glucose and glutamine concentrations were satisfactorily controlled at each set point during all cultivation periods. Ammonia had a determining effect on productivity since it inhibited cell growth and protein specific production. Ammonia production increased with an increase of glutamine or a decrease of glucose set point concentrations, indicating the importance of glucose to glutamine ratio for the optimization of productivity in mammalian cell cultures. This revised version was published online in June 2006 with corrections to the Cover Date.     

Applications of improved stoichiometric model in medium design and fed-batch cultivation of animal cells in bioreactor

In our previous work (Xie and Wang, 1994a), a simplified stoichiometric model on energy metabolism for animal cell cultivation was developed. Fed-batch experiments were performed in T-flasks using this model in supplemental medium design (Xie and Wang, 1994b). In this work, the major pathways of glucose and glutamine metabolism were incorporated into the stoichiometric model. Fed-batch culture was conducted in a 2-liter bioreactor with appropriate process control strategies. Nutrient concentrations, especially glucose and glutamine, were maintained at constant but low levels through the automated feeding of a supplemental medium formulated using the improved stoichiometric model. The formation of toxic byproducts, such as ammonia and lactate (Hassellet al., 1991), was greatly reduced. The specific lactate production rate was decreased by 62-fold compared with batch culture in bioreactor and by 8-fold compared to fed-batch culture in T-flask using the previous stoichiometric model. Ammonia formation was also decreased compared with both the batch and fed-batch cultures. Most importantly, the monoclonal antibody concentration reached 900 mg l^?1, an increase of 17- and 1.6-fold compared with the batch and fed-batch cultures respectively.     

Human 293 cell metabolism in low glutamine-supplied culture: interpretation of metabolic changes through metabolic flux analysis

Metabolic flux analysis is a useful tool to analyze cell metabolism. In this study, we report the use of a metabolic model with 34 fluxes to study the 293 cell, in order to improve its growth capacity in a DMEM/F12 medium. A batch, fed-batch with glutamine feeding, fed-batch with essential amino acids, and finally a fed-batch experiment with both essential and nonessential amino acids were compared. The fed-batch with glutamine led to a maximum cell density of 2.4x10(6) cells/ml compared to 1.8x10(6) cells/ml achieved in a batch mode. In this fed-batch with glutamine, it was also found that 2.5 mM ammonia was produced compared to the batch which had a final ammonia concentration of 1 mM. Ammonia was found to be growth inhibiting for this cell line at a concentration starting at 1 mM. During the fed-batch with glutamine, the flux analysis shows that a majority of amino acid fluxes and Kreb's cycle fluxes, except for glutamine flux, are decreased. This observation led to the conclusion that the main nutrient used is glutamine and that during the batch there is an overflow in the Kreb's cycle. Thus, a fed-batch with glutamine permits a better utilization of this nutrient. A fed-batch with essential amino acid without glutamine was also assayed in order to reduce ammonia production. The maximum cell density was increased further to 3x10(6) cells/ml and ammonia production was reduced below 1 mM. Flux analysis shows that the cells could adapt to a medium with low glutamine by increasing the amino acid fluxes toward the Kreb's cycle. Adding nonessential amino acids during this feeding strategy did not improve growth further and the nonessential amino acids accumulated in the medium.     

Elevation of gamma-glutamyltransferase activity in 293 HEK cells constitutively expressing antisense glutaminase mRNA

Previous studies have shown that the use of dynamic nutrient feeding to maintain glutamine at low levels in fed-batch cultures reduced the overflow of glutamine metabolism. This strategy resulted in the shift of metabolism towards an energetically more efficient state signified by reduced lactate and ammonia production and thus achieving a higher cell density for enhanced productivity. In an effort to mimic the metabolic changes effected by this fed-batch strategy at the molecular level, 293 HEK cells were engineered via stable transfection with an antisense fragment of the rat phosphate-dependent glutaminase (PDG) gene. PDG is localized in the mitochondria and catalyzes the deamination of glutamine to glutamate with the release of ammonia. Stable single cell clones were isolated from the transfected populations. Characterization of these transfectants revealed indications of an altered glutamine metabolism affected by the antisense strategy. Contrary to our expectations, glutamine consumption and ammonia production in the antisense cells did not deviate significantly from that of untransfected cells. Glutamate was also observed to accumulate to high level extracellularly, as opposed to a consumption pattern normally observed in non-transfected cells. Subsequent analyses show that gamma-glutamyltransferase (gamma-GT) may be a significant pathway that resulted in the formation of glutamate and ammonia from glutamine catabolism extracellularly. gamma-GT has been widely investigated in renal glutamine metabolism, but has rarely been implicated in cultured cell metabolism. This study highlights the importance of this alternative glutamine metabolism pathway in cell culture.     

Mathematical modeling and analysis of glucose and glutamine utilization and regulation in cultures of continuous mammalian cells

A number of factors have been shown to affect the metabolism of glucose and glutamine in mammalian cells and their mechanisms have been partially elucidated. Despite these efforts, a quantitative knowledge of the significance of these factors, the regulation of glucose and glutamine utilization, and particularly the interactions of these two nutrients is still lacking. Controversies exist in the literature. To clarify some of these controversies, mathematical models are proposed in this work which enable to separate and identify the effects of individual factors. Experimental data from five cell lines obtained in batch, fed-batch, and continuous cultures, both under steady-state and transient conditions, were used to verify the model formulations. The resulting kinetic models successfully describe all these cultures. According to the models, the specific consumption rate of glucose (Q(Glc)) of continuous animal cells under normal culture conditions can be expressed as a sum of three parts: a part owing to cell growth; a part owing to glucose excess; and a part owing to glutamine regulation. The specific consumption rate of glutamine (q(Glc)7) can be expressed as a sum of only two parts: a part owing to cell growth; and a part owing to glutamine excess. Using the kinetic models the interaction and regulation of glucose and glutamine utilizations are quantitatively analyzed. The results indicate that, whereas q(Glc) is affected by glutamine, q(Gln) appears to be not or less significantly affected by glucose. It is also shown that the relative utilizations of glucose and glutamine by anabolism and catabolism are mainly affected by the residual concentrations of the respective compounds and are less sensitive to growth rate and the nature of growth limitation.(c) 1995 John Wiley & Sons, Inc.     

Macroscopic modelling of overflow metabolism and model based optimization of hybridoma cell fed-batch cultures

A macroscopic model that takes into account phenomena of overflow metabolism within glycolysis and glutaminolysis is proposed to simulate hybridoma HB-58 cell cultures. The model of central carbon metabolism is reduced to a set of macroscopic reactions. The macroscopic model describes three metabolism states: respiratory metabolism, overflow metabolism and critical metabolism. The model parameters and confidence intervals are obtained via a non linear least squares identification. It is validated with experimental data of fed-batch hybridoma cultures and successfully predicts the dynamics of cell growth and death, substrate consumption (glutamine and glucose) and metabolites production (lactate and ammonia). Based on a sensitivity analysis of the model outputs with respect to the parameters, a model reduction is proposed. Finally, the maximization of biomass productivity of hybridoma cell fed-batch cultures is analyzed. This model allows, on the one hand, quantitatively describing overflow metabolism in mammalian cell cultures and, on the other hand, will be valuable for monitoring and control of fed-batch cultures in order to optimize the process. This is illustrated in this contribution with the determination of optimal feeding profiles aiming at maximizing biomass productivity.     

A simple kinetic model for myeloma cell culture with consideration of lysine limitation

A simple kinetic model is developed to describe the dynamic behavior of myeloma cell growth and cell metabolism. Glucose, glutamine as well as lysine are considered as growth limiting substrates. The cell growth was restricted as soon as the extracellular lysine is exhausted and then intracellular lysine becomes a growth limiting substrate. In addition, a metabolic regulator model together with the Monod model is used to deal with the growth lag phase after inoculation or feeding. By using these models, concentrations of substrates and metabolites, as well as densities of viable and dead cells are quantitatively described. One batch cultivation and two fed-batch cultivations with pulse feeding of nutrients are used to validate the model.     

Characterisation of G418-induced metabolic load in recombinant CHO and BHK cells: effect on the activity and expression of central metabolic enzymes

In a previous article (Yallop and Svendsen 2001), recombinant CHO and BHK cell lines, expressing the human glucagon receptor and the gastric inhibitory peptide receptor, respectively, showed reduced growth rates and altered nutrient utilisation when grown with increasing concentrations of G418. This response was associated with an increased expression of the neo ^r protein, while expression of the recombinant membrane receptors remained unaltered. The metabolic response was characterised in both cell lines by an increase in the specific rate of glutamine utilisation and in CHO cells by a decrease in the yield of lactate from glucose, suggesting a change in the flux of glucose through central metabolism. The aim of this study was to further elucidate these metabolic changes by determining the activity and relative expression of key enzymes involved in glucose and glutamine metabolism. For both CHO and BHK cells, there was an increase in the activity of glutaminase, glutamate dehydrogenase and glutamine synthetase, suggesting an increased flux through the glutaminolysis pathway. The activity of glucose-6-phosphate dehydrogenase and pyruvate carboxylase in CHO cells was also increased whilst lactate dehydrogenase activity remained unaltered, suggesting an increased flux to the pentose phosphate pathway and TCA cycle, respectively. The activity of these enzymes in BHK cells was unchanged. Quantitative RT-PCR showed that expression levels of glutaminase and pyruvate carboxylase were the same with and without G418, indicating that the differences in activities were likely due to post-translational modifications. This revised version was published online in July 2006 with corrections to the Cover Date.     

Development of a mathematical model for evaluating the dynamics of normal and apoptotic Chinese hamster ovary cells

A metabolic flux based methodology was developed for modeling the metabolism of a Chinese hamster ovary cell line. The elimination of insignificant fluxes resulted in a simplified metabolic network which was the basis for modeling the significant metabolites. Employing kinetic rate expressions for growing and non-growing subpopulations, a logistic model was developed for cell growth and dynamic models were formulated to describe culture composition and monoclonal antibody (MAb) secretion. The model was validated for a range of nutrient concentrations. Good agreement was obtained between model predictions and experimental data. The ultimate goal of this study is to establish a comprehensive dynamic model which may be used for model-based optimization of the cell culture for MAb production in both batch and fed-batch systems.     

Bioprocess iterative batch-to-batch optimization based on hybrid parametric/nonparametric models

This paper presents a novel method for iterative batch-to-batch dynamic optimization of bioprocesses. The relationship between process performance and control inputs is established by means of hybrid grey-box models combining parametric and nonparametric structures. The bioreactor dynamics are defined by material balance equations, whereas the cell population subsystem is represented by an adjustable mixture of nonparametric and parametric models. Thus optimizations are possible without detailed mechanistic knowledge concerning the biological system. A clustering technique is used to supervise the reliability of the nonparametric subsystem during the optimization. Whenever the nonparametric outputs are unreliable, the objective function is penalized. The technique was evaluated with three simulation case studies. The overall results suggest that the convergence to the optimal process performance may be achieved after a small number of batches. The model unreliability risk constraint along with sampling scheduling are crucial to minimize the experimental effort required to attain a given process performance. In general terms, it may be concluded that the proposed method broadens the application of the hybrid parametric/nonparametric modeling technique to "newer" processes with higher potential for optimization.     

Optimization and robustness analysis of hybridoma cell fed-batch cultures using the overflow metabolism model

The maximization of biomass productivity in fed-batch cultures of hybridoma cells is analyzed based on the overflow metabolism model. Due to overflow metabolism, often attributed to limited oxygen capacity, lactate and ammonia are formed when the substrate concentrations (glucose and glutamine) are above a critical value, which results in a decrease in biomass productivity. Optimal feeding rate, on the one hand, for a single feed stream containing both glucose and glutamine and, on the other hand, for two separate feed streams of glucose and glutamine are determined using a Nelder–Mead simplex optimization algorithm. The optimal multi exponential feed rate trajectory improves the biomass productivity by 10 % as compared to the optimal single exponential feed rate. Moreover, this result is validated by the one obtained with the analytical approach in which glucose and glutamine are fed to the culture so as to control the hybridoma cells at the critical metabolic state, which allows maximizing the biomass productivity. The robustness analysis of optimal feeding profiles obtained with different optimization strategies is considered, first, with respect to parameter uncertainties and, finally, to model structure errors.     

Glutamine limited fed-batch culture reduces the overflow metabolism of amino acids in myeloma cells

The murine myeloma cell line Sp 2/0-Ag 14 was cultured in an ordinary batch culture and in a glutamine limited fed-batch culture. In batch culture, the overflow metabolism of glutamine ends in excess production of ammonium and the amino acids alanine, proline, ornithine, asparagine, glutamate, serine and glycine. This pattern was dramatically changed in the fed-batch culture. Glutamine limitation halved the cellular ammonium production and reduced the ratio of NH₄ ⁺/glutamine. The excess production of alanine, proline and ornithine was reduced by a factor of 2–6 while asparagine was not produced at all. In contrary to the other amino acids glycine production was increased. These results are discussed in view of the different nature of glutamine metabolism in the mitochondrial compartment vs. the cytosolic. Furthermore, essential amino acids were used more efficiently in the fed-batch as judged by the increase in the cellular yield coefficients in the range of 1.3–2.6 times for seven of the 11 consumed ones. In all, this leads to a more efficient use of the energy sources glucose and glutamine as revealed by an increase in the cellular yield coefficient for glucose by 70% and for glutamine by 61%.     

Low-glutamine fed-batch cultures of 293-HEK serum-free suspension cells for adenovirus production

Recent developments in gene therapy using adenoviral (Ad) vectors have fueled renewed interest in the 293 human embryonic kidney cell line traditionally used to produce these vectors. Low-glutamine fed-batch cultures of serum-free, suspension cells in a 5-L bioreactor were conducted. Our aim was to tighten the control on glutamine metabolism and hence reduce ammonia and lactate accumulation. Online direct measurement of glutamine was effected via a continuous cell-exclusion system that allows for aseptic, cell-free sampling of the culture broth. A feedback control algorithm was used to maintain the glutamine concentration at a level as low as 0.1 mM with a concentrated glucose-free feed medium. This was tested in two media: a commercial formulation (SFM II) and a chemically defined DMEM/F12 formulation. The fed-batch and batch cultures were started at the same glucose concentration, and it was not controlled at any point in the fed-batch cultures. In all cases, fed-batch cultures with double the cell density and extended viable culture time compared to the batch cultures were achieved. An infection study on the high density fed-batch culture using adenovirus-green fluorescent protein (Ad-GFP) construct was also done to ascertain the production capacity of the culture. Virus titers from the infected fed-batch culture showed that there is an approximately 10-fold improvement over a batch infection culture. The results have shown that the control of glutamine at low levels in cultures is sufficient to yield significant improvements in both cell densities and viral production. The applicability of this fed-batch system to cultures in different media and also infected cultures suggests its potential for application to generic mammalian cell cultures.     

Analysis of Chinese hamster ovary cell metabolism through a combined computational and experimental approach

Optimization of cell culture processes can benefit from the systematic analysis of experimental data and their organization in mathematical models, which can be used to decipher the effect of individual process variables on multiple outputs of interest. Towards this goal, a kinetic model of cytosolic glucose metabolism coupled with a population-level model of Chinese hamster ovary cells was used to analyse metabolic behavior under batch and fed-batch cell culture conditions. The model was parameterized using experimental data for cell growth dynamics, extracellular and intracellular metabolite profiles. The results highlight significant differences between the two culture conditions in terms of metabolic efficiency and motivate the exploration of lactate as a secondary carbon source. Finally, the application of global sensitivity analysis to the model parameters highlights the need for additional experimental information on cell cycle distribution to complement metabolomic analyses with a view to parameterize kinetic models.