| Literature DB >> 36017347 |
Zhongbiao Fang1, Jingting Lyu1, Jianhua Li2, Chaonan Li1, Yuxuan Zhang1, Yikai Guo1, Ying Wang1, Yanjun Zhang2, Keda Chen1.
Abstract
Bioreactors are widely used in cell culture-based viral vaccine production, especially during the coronavirus disease 2019 (COVID-19) pandemic. In this context, the development and application of bioreactors can provide more efficient and cost-effective vaccine production to meet the global vaccine demand. The production of viral vaccines is inseparable from the development of upstream biological processes. In particular, exploration at the laboratory-scale is urgently required for further development. Therefore, it is necessary to evaluate the existing upstream biological processes, to enable the selection of pilot-scale conditions for academic and industrial scientists to maximize the yield and quality of vaccine development and production. Reviewing methods for optimizing the upstream process of virus vaccine production, this review discusses the bioreactor concepts, significant parameters and operational strategies related to large-scale amplification of virus. On this basis, a comprehensive analysis and evaluation of the various process optimization methods for the production of various viruses (SARS-CoV-2, Influenza virus, Tropical virus, Enterovirus, Rabies virus) in bioreactors is presented. Meanwhile, the types of viral vaccines are briefly introduced, and the established animal cell lines for vaccine production are described. In addition, it is emphasized that the co-development of bioreactor and computational biology is urgently needed to meet the challenges posed by the differences in upstream production scales between the laboratory and industry.Entities:
Keywords: COVID-19; bioreactor; cell culture; computational biology; process optimization; viral vaccine production
Year: 2022 PMID: 36017347 PMCID: PMC9395942 DOI: 10.3389/fbioe.2022.921755
Source DB: PubMed Journal: Front Bioeng Biotechnol ISSN: 2296-4185
FIGURE 1Overview the upstream culture process of viral vaccines. (A) Development and scale-up of a cell culture bioreactor. The left plot shows a small-scale bioreactor, which can contain cell lines, microcarriers, virus vectors, and viruses. The right plot shows an engineering grade bioreactor that can be produced on a large scale at one time. (B) Virus produced by cell lines in a bioreactor. The types of viruses produced by cell culture in a bioreactor mentioned in this review, including SARS-CoV-2, Influenza Virus, Tropical Virus, Enterovirus, and Rabies Virus. (C) Vaccine production based on large-scale virus culture. Bioreactors are mainly used to produce inactivated vaccines, live attenuated vaccines, and several subtypes of vaccines (including protein subunit vaccines, virus-like particles vaccines, and replicating viral vector vaccines).
Overview of virus production process in the cell culture reported in the review.
| Virus | Bioreactor type | Cell line | Cell culture Methods/Culture medium | Microcarrier | Physical and chemical parameters | Optimum inoculation density | Virus highest yields | Comments | Refs. |
|---|---|---|---|---|---|---|---|---|---|
| SARS-CoV-2 | CelCradle TM500-AP | Vero | animal-free medium | BioNOC ™II | At 72 hpi, MOI = 0.006, 33 °C | (2.2–2.5) × 109 cells/vial | 7.3 log10 TCID50/mL | Virus generation in the CelCradle TM 500-AP was more efficient than in monolayer cells |
|
| SARS-CoV-2 | Basket reactor | Vero | — | No | After 48–72 h of infection, the MOI ranged from 0.01 to 0.3 | — | 7.0 log10 CCID50/mL | The solid-flow bed technology makes high-density cell culturing easier |
|
| SARS-CoV-2 | Pall Allegro™ | HEK293 | BalanCDHEK293 medium | No | At 42–48 hpi, the MOI ranged from 5 to 10 | (2–3) × 106 cells/mL | 5 × 1011 VP/mL | This production efficiency is double that of the prior batch or feed batch |
|
| SARS-CoV-2 | Perfusion bioreactor | — | perfusion | No | MOI = 70 | — | 1 × 1012 VP/mL | Perfusion culture yields 10 times more than batch culture |
|
| rVSVInd-msp-sf-Gtc (SARS-CoV-2) | Stirring tank bioreactor | Vero | MDXK medium | No | At 48 hpi, MOI = 0.01, 31°C, pH = 7.2, DO50% | 1.02 × 106 cells/mL | 3.59 × 109 TCID50/ml (Infectious titer)2.13 × 1010 VG/mL (Genomic titer) | In MDXK, total viral particles to infected particle is 3.0VG/TCID50 |
|
| H1N1 | Perfusion bioreactor | MDCK | semi-perfusion, Smif8 medium | No | At 30 hpi, MOI = 0.1, 37°C | 6 × 107 cells/mL | 4.5 log10 (HAU/100 ml)1 × 1010 TCID50CSVY = 13600 virions/cell | Semi-perfusion let the virus grow and infect MDCK.Xeno cell line in a high cell density environment |
|
| A/PR/8/34 H1N1 | Stirring tank bioreactor | MDCK | perfusion, Xeno-CDM2 | No | pH = 7.15 (cell growth), pH = 7.20 (virus infection), DO = 40%37°C (cell growth), 33°C (virus infection)CSPR = 40 pL/cells/day | 45×106 cells/mL | 4.42 log10 (HAU/100 μL),C tot = 5.3 × 1011 virions/mlC tot, infectious = 18 × 109 virions/mLCSVY = 11690 virions/cellSTVY = 8.0 × 1013 virions/L/d | STVY of improved high cell density method is 5 times traditional batch process |
|
| A/PR/8/34 H1N1 | DASGIP® bioreactor | PBG.PK2.1 | perfusion, CD-U5 medium | No | At 36 hpi, MOI = 10–5, 37 °C pH = 7.2 (cell growth), pH = 7.4 (virus infection)CSPR = 0.07 nL/cell/day | 5 × 106 cells/mL | 46 × 106 TCID50/mL3.93 ± 0.05 log10 (HA units/100 ml) | Use the PBG.PK.2.1 Cell yielded higher TCID50. However, the CSVY was still smaller than the MDCK cells |
|
| H1N1 | SB10- X orbital shaking bioreactor (OSB) | AGE1.CR.pIX | perfusion, CD-U3 medium | No | 37°C | 5 × 107 cells/mL | 3.73 log10 (HA unit/100 ml)CSVY = 3,500 virions/cellPv = 2.2 × 1012 virions/L/d, 8.8 ± 109 TCID50/mL | OSB is more useful in increasing the CSVY and Pv of AGE1.CR.pIX cells than other bioreactors |
|
| A/PR/8/34 H1N1 | Inclined settler (IS) | AGE1.CR.pIX | perfusion, CD-U3 medium | No | At 36–48 hpi, 27°CCSPR = 0.06 nL/cell/day | 5 × 107 cells/mL | 25 × 106 TCID50/mL CSVY = 3,474 virions/cell Vir tot, max = 6.5 × 1013 virions Pv = 1.23 × 1012 virions/L/d | Using IS, the yield of cell-specific virus was approximately 5 times higher than that of the ATF basal culture. |
|
| Enterovirus 71 | Disposable perfusion bioreactor | Vero | perfusion, DMEM | No | At 96 hpi, MOI = 0.1, 32 °C | 1.0 × 107 cells/vial | 8.0 log10 TCID50/mL | The bioreactor provides a high oxygen transfer efficiency, which makes it very suitable for virus culture |
|
| Enterovirus 71 | BIOFLO 310 bioreactor | Vero | perfusion, serum-free VP-SFM medium | Cytodex 1 | At 7 to 13 dpi, MOI = 10–5, 32 °C | (2.0–2.5) × 106 cells/mL | 1.0 × 107 TCID50/mL | The medium replacement culture strategy was found to increase the production yields more than 7–14 fold |
|
| Inactivated EV71 (E59-B4) virus | Serum-Free Microcarrier Bioreactor System | Vero | serum-free VP-SFM medium | Cytodex 1 | At 6 days, MOI = 10–4, 20 rpm, pH = 6.8–7.2, 37°C | 1.0 × 106 cells/mL | 1.0 × 107 TCID50/mL | Microcarrier/bioreactor is more efficient than rolling bottle system |
|
hpi, hours post-infection; TCID50, 50% tissue culture infective dose; CCID50, 50% cell culture infective dose; VP, viral particles; VG, viral genomes; HAU, hemagglutination units; HA, hemagglutinin; CSVY, cell-specific virus yield; STVY, space time virus yield; Ctot, the total number of virus particles per volume; CSPR, cell-specific perfusion rate; Pv, volumetric virus productivity; Vir tot, max, maximum total number of virions produced; PFU, plaque forming unit; ATF, alternating tangential flow; TFF, tangential flow filtration; DMEM, Dulbecco’s modified Eagle’s medium; FBS, fetal bovine serum; SFM; serum free medium; MOI, multiplicity of infection; DO50%, 50% dissolved oxygen; DO, dissolved oxygen; rpm, revolutions per minute; ACPB, AmProtein Current Perfusion Bioreactor; GMEM, Glasgow minimum essential medium; M-VSFM, modified Vero serum-free medium; VP-SFM, virus particle-serum free medium; DMSO, dimethyl sulfoxide; IPT-AFM, animal-component free medium; MDXK, chemically-defined and developed by Xell for cultivation of MDCK/MDBK and other mammalin cell lines; FFU, focus forming units; EILV, Eilat virus.
Types of cell culture bioreactors and biosafety risks.
| Bioreactor type | Main form | Advantages | Disadvantages | Biosafety risks |
|---|---|---|---|---|
| Adherent culture ( | Stirring bioreactor | • Simple and flexible operation | • Need for high cell numbers | • Small bioreactors can create substantial amounts of biological weapons with relative ease ( |
| Hollow fiber bioreactor | • Saving time | • If infinite cell lines are utilized, there may be a risk of tumorigenesis ( | ||
| Torrent pouring bioreactor | • pH, dissolved oxygen and temperature can be monitored online by dielectric constant sensor | • Difficulty to scale-up processes | • Operators may make more mistakes when implementing the large-scale batch culture than in small scale ( | |
| Embedded culture ( | Fluidized bed bioreactor | • Minimize the damage to cells caused by the shear force | • Difficulty to achieve sufficient dissolved oxygen in large-scale culture | • Without proper testing in single-use bioreactors, high temperature, high pressure, high friction, and sharp objects might damage the bag, resulting in liquid or gas leakage and operator contamination ( |
| • Easy for cells to culture and grow | ||||
| Fixed bed bioreactor | • Prolong the survival time of cells after infection | • Hard for scale-up | ||
| Suspension culture ( | Stirring bioreactor | • Suitable for CHO cells to produce recombinant proteins or insect cells for baculovirus expression systems to produce virus-like particles | • High liquid shear force and low actual utilization rate | |
| • Easy to expand the scale of cultivation | • Long construction period | |||
| • Achieve a relatively uniform microenvironment | • Poor operational flexibility | |||
| Airlift bioreactor | • Condition parameters are relatively controllable and stable | • High one-time investment costs |
FIGURE 2Process definition in bioreactor and its result influence in celluar environment. (A) Bioreactors can preset important parameter values through four strategies (pH Control Srategy, dO2 Control Strategy, Temperature Control strategy, pressure control strategy). The output of the process includes physical and chemical parameters such as pH, solubility of different gases, temperature, osmotic pressure, shear force and so on. Different process definitions have a great influence on the cellular environment. (B) Different celluar environment will lead to different growth states of cells. Good cell state and higher cell concentration can produce more virus titers. But the replication and release of the virus can also lead to cell death. Meanwhile, the accumulation of waste from cell metabolism will affect the celluar environment. The state of the cellular environment ultimately determines the formation and quality of the product.