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Rüdiger D, Piasecka J, Küchler J, Pontes C, Laske T, Kupke SY, Reichl U. Mathematical model calibrated to in vitro data predicts mechanisms of antiviral action of the influenza defective interfering particle "OP7". iScience 2024; 27:109421. [PMID: 38523782 PMCID: PMC10959662 DOI: 10.1016/j.isci.2024.109421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 02/08/2024] [Accepted: 02/29/2024] [Indexed: 03/26/2024] Open
Abstract
Defective interfering particles (DIPs) are regarded as potent broad-spectrum antivirals. We developed a mathematical model that describes intracellular co-infection dynamics of influenza standard virus (STV) and "OP7", a new type of influenza DIP discovered recently. Based on experimental data from in vitro studies to calibrate the model and confirm its predictions, we deduce OP7's mechanisms of interference, which were yet unknown. Simulations suggest that the "superpromoter" on OP7 genomic viral RNA enhances its replication and results in a depletion of viral proteins. This reduces STV genomic RNA replication, which appears to constitute an antiviral effect. Further, a defective viral protein (M1-OP7) likely causes the deficiency of OP7's replication. It appears unable to bind to genomic viral RNAs to facilitate their nuclear export, a critical step in the viral life cycle. An improved understanding of OP7's antiviral mechanism is crucial toward application in humans as a prospective antiviral treatment strategy.
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Affiliation(s)
- Daniel Rüdiger
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
| | - Julita Piasecka
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
| | - Jan Küchler
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
| | - Carolina Pontes
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
| | - Tanja Laske
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
- Institute for Computational Systems Biology, University of Hamburg, 20148 Hamburg, Germany
| | - Sascha Y. Kupke
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
| | - Udo Reichl
- Department of Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Saxony-Anhalt, Germany
- Chair of Bioprocess Engineering, Otto-von-Guericke University, 39106 Magdeburg, Saxony-Anhalt, Germany
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Taylor KY, Agu I, José I, Mäntynen S, Campbell AJ, Mattson C, Chou TW, Zhou B, Gresham D, Ghedin E, Díaz Muñoz SL. Influenza A virus reassortment is strain dependent. PLoS Pathog 2023; 19:e1011155. [PMID: 36857394 PMCID: PMC10010518 DOI: 10.1371/journal.ppat.1011155] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/13/2023] [Accepted: 01/26/2023] [Indexed: 03/02/2023] Open
Abstract
RNA viruses can exchange genetic material during coinfection, an interaction that creates novel strains with implications for viral evolution and public health. Influenza A viral genetic exchange can occur when genome segments from distinct strains reassort in coinfected cells. Predicting potential genomic reassortment between influenza strains has been a long-standing goal. Experimental coinfection studies have shed light on factors that limit or promote reassortment. However, determining the reassortment potential between diverse Influenza A strains has remained elusive. To address this challenge, we developed a high throughput genotyping approach to quantify reassortment among a diverse panel of human influenza virus strains encompassing two pandemics (swine and avian origin), three specific epidemics, and both circulating human subtypes A/H1N1 and A/H3N2. We found that reassortment frequency (the proportion of reassortants generated) is an emergent property of specific pairs of strains where strain identity is a predictor of reassortment frequency. We detect little evidence that antigenic subtype drives reassortment as intersubtype (H1N1xH3N2) and intrasubtype reassortment frequencies were, on average, similar. Instead, our data suggest that certain strains bias the reassortment frequency up or down, independently of the coinfecting partner. We observe that viral productivity is also an emergent property of coinfections, but uncorrelated to reassortment frequency; thus viral productivity is a separate factor affecting the total number of reassortants produced. Assortment of individual segments among progeny and pairwise segment combinations within progeny generally favored homologous combinations. These outcomes were not related to strain similarity or shared subtype but reassortment frequency was closely correlated to the proportion of both unique genotypes and of progeny with heterologous pairwise segment combinations. We provide experimental evidence that viral genetic exchange is potentially an individual social trait subject to natural selection, which implies the propensity for reassortment is not evenly shared among strains. This study highlights the need for research incorporating diverse strains to discover the traits that shift the reassortment potential to realize the goal of predicting influenza virus evolution resulting from segment exchange.
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Affiliation(s)
- Kishana Y. Taylor
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - Ilechukwu Agu
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - Ivy José
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - Sari Mäntynen
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - A. J. Campbell
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - Courtney Mattson
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
| | - Tsui-Wen Chou
- Center for Genomics and Systems Biology + Department of Biology New York University New York, United States of America
| | - Bin Zhou
- Center for Genomics and Systems Biology + Department of Biology New York University New York, United States of America
| | - David Gresham
- Center for Genomics and Systems Biology + Department of Biology New York University New York, United States of America
| | - Elodie Ghedin
- Center for Genomics and Systems Biology + Department of Biology New York University New York, United States of America
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, United States of America
| | - Samuel L. Díaz Muñoz
- Department of Microbiology and Molecular Genetics University of California, Davis Davis, California
- Genome Center University of California, Davis Davis, California
- * E-mail:
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Defective Interfering Particles of Influenza Virus and Their Characteristics, Impacts, and Use in Vaccines and Antiviral Strategies: A Systematic Review. Viruses 2022; 14:v14122773. [PMID: 36560777 PMCID: PMC9781619 DOI: 10.3390/v14122773] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/02/2022] [Accepted: 12/10/2022] [Indexed: 12/14/2022] Open
Abstract
Defective interfering particles (DIPs) are particles containing defective viral genomes (DVGs) generated during viral replication. DIPs have been found in various RNA viruses, especially in influenza viruses. Evidence indicates that DIPs interfere with the replication and encapsulation of wild-type viruses, namely standard viruses (STVs) that contain full-length viral genomes. DIPs may also activate the innate immune response by stimulating interferon synthesis. In this review, the underlying generation mechanisms and characteristics of influenza virus DIPs are summarized. We also discuss the potential impact of DIPs on the immunogenicity of live attenuated influenza vaccines (LAIVs) and development of influenza vaccines based on NS1 gene-defective DIPs. Finally, we review the antiviral strategies based on influenza virus DIPs that have been used against both influenza virus and SARS-CoV-2. This review provides systematic insights into the theory and application of influenza virus DIPs.
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Möckel M, Baldok N, Walles T, Hartig R, Müller AJ, Reichl U, Genzel Y, Walles H, Wiese-Rischke C. Human 3D Airway Tissue Models for Real-Time Microscopy: Visualizing Respiratory Virus Spreading. Cells 2022; 11:cells11223634. [PMID: 36429061 PMCID: PMC9688616 DOI: 10.3390/cells11223634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/04/2022] [Accepted: 11/12/2022] [Indexed: 11/18/2022] Open
Abstract
Our knowledge about respiratory virus spreading is mostly based on monolayer cultures that hardly reflect the complex organization of the airway epithelium. Thus, there is a strong demand for biologically relevant models. One possibility to study virus spreading at the cellular level is real-time imaging. In an attempt to visualize virus spreading under somewhat more physiological conditions, Calu-3 cells and human primary fibroblasts were co-cultured submerged or as air-liquid interface (ALI). An influenza A virus (IAV) replicating well in cell culture, and carrying a red fluorescent protein (RFP) reporter gene was used for real-time imaging. Our three-dimensional (3D) models exhibited important characteristics of native airway epithelium including a basement membrane, tight junctions and, in ALI models, strong mucus production. In submerged models, first fluorescence signals appeared between 9 and 12 h post infection (hpi) with a low multiplicity of infection of 0.01. Virus spreading further proceeded in the immediate vicinity of infected cells. In ALI models, RFP was found at 22 hpi and later. Consequently, the progression of infection was delayed, in contrast to the submerged model. With these features, we believe that our 3D airway models can deliver new insights in the spreading of IAV and other respiratory viruses.
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Affiliation(s)
- Marion Möckel
- University Clinic for Cardiac and Thoracic Surgery, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
| | - Nino Baldok
- University Clinic for Cardiac and Thoracic Surgery, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
- Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, D-39106 Magdeburg, Germany
| | - Thorsten Walles
- University Clinic for Cardiac and Thoracic Surgery, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
| | - Roland Hartig
- Institute for Molecular and Clinical Immunology, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
| | - Andreas J. Müller
- Institute for Molecular and Clinical Immunology, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
- Helmholtz Centre for Infection Research, D-38124 Braunschweig, Germany
| | - Udo Reichl
- Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, D-39106 Magdeburg, Germany
| | - Yvonne Genzel
- Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, D-39106 Magdeburg, Germany
| | - Heike Walles
- Core Facility Tissue Engineering, Otto-von-Guericke-University Magdeburg, D-39106 Magdeburg, Germany
| | - Cornelia Wiese-Rischke
- University Clinic for Cardiac and Thoracic Surgery, Otto-von-Guericke-University Magdeburg, D-39120 Magdeburg, Germany
- Correspondence:
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Rüdiger D, Pelz L, Hein MD, Kupke SY, Reichl U. Multiscale model of defective interfering particle replication for influenza A virus infection in animal cell culture. PLoS Comput Biol 2021; 17:e1009357. [PMID: 34491996 PMCID: PMC8448327 DOI: 10.1371/journal.pcbi.1009357] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 09/17/2021] [Accepted: 08/18/2021] [Indexed: 12/15/2022] Open
Abstract
Cell culture-derived defective interfering particles (DIPs) are considered for antiviral therapy due to their ability to inhibit influenza A virus (IAV) production. DIPs contain a large internal deletion in one of their eight viral RNAs (vRNAs) rendering them replication-incompetent. However, they can propagate alongside their homologous standard virus (STV) during infection in a competition for cellular and viral resources. So far, experimental and modeling studies for IAV have focused on either the intracellular or the cell population level when investigating the interaction of STVs and DIPs. To examine these levels simultaneously, we conducted a series of experiments using highly different multiplicities of infections for STVs and DIPs to characterize virus replication in Madin-Darby Canine Kidney suspension cells. At several time points post infection, we quantified virus titers, viable cell concentration, virus-induced apoptosis using imaging flow cytometry, and intracellular levels of vRNA and viral mRNA using real-time reverse transcription qPCR. Based on the obtained data, we developed a mathematical multiscale model of STV and DIP co-infection that describes dynamics closely for all scenarios with a single set of parameters. We show that applying high DIP concentrations can shut down STV propagation completely and prevent virus-induced apoptosis. Interestingly, the three observed viral mRNAs (full-length segment 1 and 5, defective interfering segment 1) accumulated to vastly different levels suggesting the interplay between an internal regulation mechanism and a growth advantage for shorter viral RNAs. Furthermore, model simulations predict that the concentration of DIPs should be at least 10000 times higher than that of STVs to prevent the spread of IAV. Ultimately, the model presented here supports a comprehensive understanding of the interactions between STVs and DIPs during co-infection providing an ideal platform for the prediction and optimization of vaccine manufacturing as well as DIP production for therapeutic use.
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Affiliation(s)
- Daniel Rüdiger
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Lars Pelz
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Marc D. Hein
- Chair of Bioprocess Engineering, Institute of Process Engineering, Faculty of Process & Systems Engineering, Otto-von-Guericke University, Magdeburg, Germany
| | - Sascha Y. Kupke
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- Chair of Bioprocess Engineering, Institute of Process Engineering, Faculty of Process & Systems Engineering, Otto-von-Guericke University, Magdeburg, Germany
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Wu Y, Bissinger T, Genzel Y, Liu X, Reichl U, Tan WS. High cell density perfusion process for high yield of influenza A virus production using MDCK suspension cells. Appl Microbiol Biotechnol 2021; 105:1421-1434. [PMID: 33515287 PMCID: PMC7847233 DOI: 10.1007/s00253-020-11050-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 12/01/2020] [Accepted: 12/09/2020] [Indexed: 12/27/2022]
Abstract
Similar to the recent COVID-19 pandemic, influenza A virus poses a constant threat to the global community. For the treatment of flu disease, both antivirals and vaccines are available with vaccines the most effective and safest approach. In order to overcome limitations in egg-based vaccine manufacturing, cell culture-based processes have been established. While this production method avoids egg-associated risks in face of pandemics, process intensification using animal suspension cells in high cell density perfusion cultures should allow to further increase manufacturing capacities worldwide. In this work, we demonstrate the development of a perfusion process using Madin-Darby canine kidney (MDCK) suspension cells for influenza A (H1N1) virus production from scale-down shake flask cultivations to laboratory scale stirred tank bioreactors. Shake flask cultivations using semi-perfusion mode enabled high-yield virus harvests (4.25 log10(HAU/100 μL)) from MDCK cells grown up to 41 × 106 cells/mL. Scale-up to bioreactors with an alternating tangential flow (ATF) perfusion system required optimization of pH control and implementation of a temperature shift during the infection phase. Use of a capacitance probe for on-line perfusion control allowed to minimize medium consumption. This contributed to a better process control and a more economical performance while maintaining a maximum virus titer of 4.37 log10(HAU/100 μL) and an infectious virus titer of 1.83 × 1010 virions/mL. Overall, this study clearly demonstrates recent advances in cell culture-based perfusion processes for next-generation high-yield influenza vaccine manufacturing for pandemic preparedness. KEY POINTS: • First MDCK suspension cell-based perfusion process for IAV produciton was established. • "Cell density effect" was overcome and process was intensified by reduction of medium use and automated process control. • The process achieved cell density over 40 × 106 cells/mL and virus yield over 4.37 log10(HAU/100 μL).
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Affiliation(s)
- Yixiao Wu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China.,Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106, Magdeburg, Germany
| | - Thomas Bissinger
- Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106, Magdeburg, Germany
| | - Yvonne Genzel
- Bioprocess Engineering Group, Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106, Magdeburg, Germany
| | - Xuping Liu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China. .,Shanghai BioEngine Sci-Tech Co., Ltd, 781 Cailun Road, Shanghai, 201203, China.
| | - Udo Reichl
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China.,Chair of Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Universitaetsplatz 2, 39106, Magdeburg, Germany
| | - Wen-Song Tan
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China
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Influenza A virus production in a single-use orbital shaken bioreactor with ATF or TFF perfusion systems. Vaccine 2019; 37:7011-7018. [DOI: 10.1016/j.vaccine.2019.06.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 05/25/2019] [Accepted: 06/04/2019] [Indexed: 12/20/2022]
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He G, Yang P, Yan Q, Xiong C. Debate on the compositions of influenza B in northern hemisphere seasonal influenza vaccines. Antimicrob Resist Infect Control 2019; 8:164. [PMID: 31673353 PMCID: PMC6819444 DOI: 10.1186/s13756-019-0631-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 10/17/2019] [Indexed: 11/24/2022] Open
Abstract
Background Annual influenza vaccination is the most effective way to prevent influenza. Influenza vaccines have traditionally included the hemagglutinins (HA) and neuraminidases (NA) from the two A viruses (H1N1 and H3N2) and either B Yamagata or B Victoria. Mismatches between circulating isolates of influenza B and the vaccines are very common. Taking 2017/2018 winter in northern hemisphere as an example, this study was designed to find out the reasons for mismatch between the trivalent influenza vaccine (TIV) and most of the epidemic isolates at that time, and to discuss if there are some optimized programs for seasonal influenza vaccines. Methods HA and NA sequences of the seasonal isolates circulating from December 1, 2017 to February 28, 2018, and in the previously other 7 winters in northern hemisphere from Global Initiative on Sharing All Influenza Data (GISAID) and the influenza database of National Center for Biotechnology Information (NCBI). Phylogenetic trees and genetic distances were constructed or calculated by using MAFFT and MEGA 6.0 software. Results Influenza B composition in the TIV recommendation mismatched most of circulating viruses in 2017/2018 winter; the vaccine strain was from the B/Victoria lineage, while most of epidemic isolates were from the B/Yamagata lineage. The epidemic lineage of influenza B reached its peak a little late in the previous winter might be responsible for this mismatch. During 2010-2018, the mean genetic distances between epidemic isolates of influenza A (H1N1 and H3N2) and the vaccines were no higher than 0.02375 ± 0.00341 in both HA and NA. However, concerning influenza B virus, when forecasting done well, the mean genetic distances between epidemic isolates and the vaccines were no higher than 0.02368 ± 0.00272; otherwise, the distances could reach 0.13695 ± 0.00238. Conclusion When applying quadrivalent influenza vaccines (QIVs) for vaccination, the recommendations of compositions for influenza B could be altered and assessed once in 3 or 4 years; when economic burden was considered intensively and TIVs were utilized, the recommended compositions for influenza B could be announced in April or May, rather than in February or March as now.
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Affiliation(s)
- Guozhong He
- Institute of Health, Kunming Medical University, Kunming, 650031 China
| | - Pengfei Yang
- Huai’an Center for Disease Control and Prevention, Huai’an, 223005 China
| | - Qingli Yan
- Huai’an Center for Disease Control and Prevention, Huai’an, 223005 China
| | - Chenglong Xiong
- Department of Public Health Microbiology, School of Public Health, Fudan University, Shanghai, 200032 China
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, 200032 China
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Preusse M, Schughart K, Pessler F. Host Genetic Background Strongly Affects Pulmonary microRNA Expression before and during Influenza A Virus Infection. Front Immunol 2017; 8:246. [PMID: 28377766 PMCID: PMC5359533 DOI: 10.3389/fimmu.2017.00246] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 02/20/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Expression of host microRNAs (miRNAs) changes markedly during influenza A virus (IAV) infection of natural and adaptive hosts, but their role in genetically determined host susceptibility to IAV infection has not been explored. We, therefore, compared pulmonary miRNA expression during IAV infection in two inbred mouse strains with differential susceptibility to IAV infection. RESULTS miRNA expression profiles were determined in lungs of the more susceptible strain DBA/2J and the less susceptible strain C57BL/6J within 120 h post infection (hpi) with IAV (H1N1) PR8. Even the miRNomes of uninfected lungs differed substantially between the two strains. After a period of relative quiescence, major miRNome reprogramming was detected in both strains by 48 hpi and increased through 120 hpi. Distinct groups of miRNAs regulated by IAV infection could be defined: (1) miRNAs (n = 39) whose expression correlated with hemagglutinin (HA) mRNA expression and represented the general response to IAV infection independent of host genetic background; (2) miRNAs (n = 20) whose expression correlated with HA mRNA expression but differed between the two strains; and (3) remarkably, miR-147-3p, miR-208b-3p, miR-3096a-5p, miR-3069b-3p, and the miR-467 family, whose abundance even in uninfected lungs differentiated nearly perfectly (area under the ROC curve > 0.99) between the two strains throughout the time course, suggesting a particularly strong association with the differential susceptibility of the two mouse strains. Expression of subsets of miRNAs correlated significantly with peripheral blood granulocyte and monocyte numbers, particularly in DBA/2J mice; miR-223-3p, miR-142-3p, and miR-20b-5p correlated most positively with these cell types in both mouse strains. Higher abundance of antiapoptotic (e.g., miR-467 family) and lower abundance of proapoptotic miRNAs (e.g., miR-34 family) and those regulating the PI3K-Akt pathway (e.g., miR-31-5p) were associated with the more susceptible DBA/2J strain. CONCLUSION Substantial differences in pulmonary miRNA expression between the two differentially susceptible mouse strains were evident even before infection, but evolved further throughout infection and could in part be attributed to differences in peripheral blood leukocyte populations. Thus, pulmonary miRNA expression both before and during IAV infection is in part determined genetically and contributes to susceptibility to IAV infection in this murine host, and likely in humans.
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Affiliation(s)
- Matthias Preusse
- Institute for Experimental Infection Research, TWINCORE Center for Experimental and Clinical Infection Research, Hannover, Germany; Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Klaus Schughart
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany; University of Veterinary Medicine Hannover, Hannover, Germany; Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Centre, Memphis, TN, USA
| | - Frank Pessler
- Institute for Experimental Infection Research, TWINCORE Center for Experimental and Clinical Infection Research, Hannover, Germany; Helmholtz Centre for Infection Research, Braunschweig, Germany; Centre for Individualised Infection Medicine, Hannover, Germany
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Huang D, Peng WJ, Ye Q, Liu XP, Zhao L, Fan L, Xia-Hou K, Jia HJ, Luo J, Zhou LT, Li BB, Wang SL, Xu WT, Chen Z, Tan WS. Serum-Free Suspension Culture of MDCK Cells for Production of Influenza H1N1 Vaccines. PLoS One 2015; 10:e0141686. [PMID: 26540170 PMCID: PMC4634975 DOI: 10.1371/journal.pone.0141686] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Accepted: 10/12/2015] [Indexed: 01/03/2023] Open
Abstract
Development of serum-free suspension cell culture processes is very important for influenza vaccine production. Previously, we developed a MDCK suspension cell line in a serum-free medium. In the present study, the growth kinetics of suspension MDCK cells and influenza virus production in the serum-free medium were investigated, in comparison with those of adherent MDCK cells in both serum-containing and serum-free medium. It was found that the serum-free medium supported the stable subculture and growth of both adherent and suspension cells. In batch culture, for both cell lines, the growth kinetics in the serum-free medium was comparable with those in the serum-containing medium and a commercialized serum-free medium. In the serum-free medium, peak viable cell density (VCD), haemagglutinin (HA) and median tissue culture infective dose (TCID50) titers of the two cell lines reached 4.51×106 cells/mL, 2.94Log10(HAU/50 μL) and 8.49Log10(virions/mL), and 5.97×106 cells/mL, 3.88Log10(HAU/50 μL), and 10.34Log10(virions/mL), respectively. While virus yield of adherent cells in the serum-free medium was similar to that in the serum-containing medium, suspension culture in the serum-free medium showed a higher virus yield than adherent cells in the serum-containing medium and suspension cells in the commercialized serum-free medium. However, the percentage of infectious viruses was lower for suspension culture in the serum-free medium. These results demonstrate the great potential of this suspension MDCK cell line in serum-free medium for influenza vaccine production and further improvements are warranted.
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Affiliation(s)
- Ding Huang
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Wen-Juan Peng
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Qian Ye
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Xu-Ping Liu
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
- * E-mail: (X-PL); (W-ST)
| | - Liang Zhao
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Li Fan
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Kang Xia-Hou
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Han-Jing Jia
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Jian Luo
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Lin-Ting Zhou
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Bei-Bei Li
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Shi-Lei Wang
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Wen-Ting Xu
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Ze Chen
- Shanghai Institute of Biological Products Co., Ltd., Shanghai 200052, China
| | - Wen-Song Tan
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
- * E-mail: (X-PL); (W-ST)
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Production of canine adenovirus type 2 in serum-free suspension cultures of MDCK cells. Appl Microbiol Biotechnol 2015; 99:7059-68. [DOI: 10.1007/s00253-015-6636-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Revised: 04/19/2015] [Accepted: 04/22/2015] [Indexed: 10/23/2022]
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Frensing T, Pflugmacher A, Bachmann M, Peschel B, Reichl U. Impact of defective interfering particles on virus replication and antiviral host response in cell culture-based influenza vaccine production. Appl Microbiol Biotechnol 2014; 98:8999-9008. [DOI: 10.1007/s00253-014-5933-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Revised: 07/01/2014] [Accepted: 07/03/2014] [Indexed: 12/20/2022]
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Heldt FS, Frensing T, Pflugmacher A, Gröpler R, Peschel B, Reichl U. Multiscale modeling of influenza A virus infection supports the development of direct-acting antivirals. PLoS Comput Biol 2013; 9:e1003372. [PMID: 24278009 PMCID: PMC3836700 DOI: 10.1371/journal.pcbi.1003372] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2013] [Accepted: 10/15/2013] [Indexed: 11/22/2022] Open
Abstract
Influenza A viruses are respiratory pathogens that cause seasonal epidemics with up to 500,000 deaths each year. Yet there are currently only two classes of antivirals licensed for treatment and drug-resistant strains are on the rise. A major challenge for the discovery of new anti-influenza agents is the identification of drug targets that efficiently interfere with viral replication. To support this step, we developed a multiscale model of influenza A virus infection which comprises both the intracellular level where the virus synthesizes its proteins, replicates its genome, and assembles new virions and the extracellular level where it spreads to new host cells. This integrated modeling approach recapitulates a wide range of experimental data across both scales including the time course of all three viral RNA species inside an infected cell and the infection dynamics in a cell population. It also allowed us to systematically study how interfering with specific steps of the viral life cycle affects virus production. We find that inhibitors of viral transcription, replication, protein synthesis, nuclear export, and assembly/release are most effective in decreasing virus titers whereas targeting virus entry primarily delays infection. In addition, our results suggest that for some antivirals therapy success strongly depends on the lifespan of infected cells and, thus, on the dynamics of virus-induced apoptosis or the host's immune response. Hence, the proposed model provides a systems-level understanding of influenza A virus infection and therapy as well as an ideal platform to include further levels of complexity toward a comprehensive description of infectious diseases. Influenza A viruses are contagious pathogens that cause an infection of the respiratory tract in humans, commonly referred to as flu. Each year seasonal epidemics occur with three to five million cases of severe illness and occasionally new strains can create pandemics like the 1918 Spanish Flu with a high mortality among infected individuals. Currently, there are only two classes of antivirals licensed for influenza treatment. Moreover, these compounds start to lose their effectiveness as drug-resistant strains emerge frequently. Here, we use a computational model of infection to reveal the steps of virus replication that are most susceptible to interference by drugs. Our analysis suggests that the enzyme which replicates the viral genetic code, and the processes involved in virus assembly and release are promising targets for new antivirals. We also highlight that some drugs can change the dynamics of virus replication toward a later but more sustained production. Thus, we demonstrate that modeling studies can be a tremendous asset to the development of antiviral drugs and treatment strategies.
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Affiliation(s)
- Frank S. Heldt
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- * E-mail:
| | - Timo Frensing
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Antje Pflugmacher
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Robin Gröpler
- Institute for Analysis and Numerics, Otto von Guericke University, Magdeburg, Germany
| | - Britta Peschel
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Udo Reichl
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- Chair of Bioprocess Engineering, Otto von Guericke University, Magdeburg, Germany
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Production of high-titer human influenza A virus with adherent and suspension MDCK cells cultured in a single-use hollow fiber bioreactor. Vaccine 2013; 32:1003-11. [PMID: 24269322 DOI: 10.1016/j.vaccine.2013.11.044] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Revised: 10/28/2013] [Accepted: 11/11/2013] [Indexed: 01/31/2023]
Abstract
Hollow fiber bioreactors (HFBRs) have been widely described as capable of supporting the production of highly concentrated monoclonal antibodies and recombinant proteins. Only recently HFBRs have been proposed as new single-use platforms for production of high-titer influenza A virus. These bioreactors contain multiple hollow fiber capillary tubes that separate the bioreactor in an intra- and an extra-capillary space. Cells are usually cultured in the extra-capillary space and can grow to a very high cell concentration. This work describes the evaluation of the single-use hollow fiber bioreactor PRIMER HF (Biovest International Inc., USA) for production of influenza A virus. The process was setup, characterized and optimized by running a total of 15 cultivations. The HFBRs were seeded with either adherent or suspension MDCK cells, and infected with influenza virus A/PR/8/34 (H1N1), and the pandemic strain A/Mexico/4108/2009 (H1N1). High HA titers and TCID₅₀ of up to 3.87 log₁₀(HA units/100 μL) and 1.8 × 10(10)virions/mL, respectively, were obtained for A/PR/8/34 influenza strain. Influenza virus was collected by performing multiple harvests of the extra-capillary space during a virus production time of up to 12 days. Cell-specific virus yields between 2,000 and 8,000 virions/cell were estimated for adherent MDCK cells, and between 11,000 and 19,000 virions/cell for suspension MDCK.SUS2 cells. These results do not only coincide with the cell-specific virus yields obtained with cultivations in stirred tank bioreactors and other high cell density systems, but also demonstrate that HFBRs are promising and competitive single-use platforms that can be considered for commercial production of influenza virus.
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Comparison of influenza virus yields and apoptosis-induction in an adherent and a suspension MDCK cell line. Vaccine 2013; 31:5693-9. [DOI: 10.1016/j.vaccine.2013.09.051] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Revised: 08/22/2013] [Accepted: 09/24/2013] [Indexed: 01/09/2023]
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Abstract
The isolation of influenza virus 80 years ago in 1933 very quickly led to the development of the first generation of live-attenuated vaccines. The first inactivated influenza vaccine was monovalent (influenza A). In 1942, a bivalent vaccine was produced after the discovery of influenza B. It was later discovered that influenza viruses mutated leading to antigenic changes. Since 1973, the WHO has issued annual recommendations for the composition of the influenza vaccine based on results from surveillance systems that identify currently circulating strains. In 1978, the first trivalent vaccine included two influenza A strains and one influenza B strain. Currently, there are two influenza B lineages circulating; in the latest WHO recommendations, it is suggested that a second B strain could be added to give a quadrivalent vaccine. The history of influenza vaccine and the associated technology shows how the vaccine has evolved to match the evolution of influenza viruses.
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Yang P, Deng J, Li C, Zhang P, Xing L, Li Z, Wang W, Zhao Y, Yan Y, Gu H, Liu X, Zhao Z, Zhang S, Wang X, Jiang C. Characterization of the 2009 pandemic A/Beijing/501/2009 H1N1 influenza strain in human airway epithelial cells and ferrets. PLoS One 2012; 7:e46184. [PMID: 23049974 PMCID: PMC3458874 DOI: 10.1371/journal.pone.0046184] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Accepted: 08/29/2012] [Indexed: 12/22/2022] Open
Abstract
Background A novel 2009 swine-origin influenza A H1N1 virus (S-OIV H1N1) has been transmitted among humans worldwide. However, the pathogenesis of this virus in human airway epithelial cells and mammals is not well understood. Methodology/Principal Finding In this study, we showed that a 2009 A (H1N1) influenza virus strain, A/Beijing/501/2009, isolated from a human patient, caused typical influenza-like symptoms including weight loss, fluctuations in body temperature, and pulmonary pathological changes in ferrets. We demonstrated that the human lung adenocarcinoma epithelial cell line A549 was susceptible to infection and that the infected cells underwent apoptosis at 24 h post-infection. In contrast to the seasonal H1N1 influenza virus, the 2009 A (H1N1) influenza virus strain A/Beijing/501/2009 induced more cell death involving caspase-3-dependent apoptosis in A549 cells. Additionally, ferrets infected with the A/Beijing/501/2009 H1N1 virus strain exhibited increased body temperature, greater weight loss, and higher viral titers in the lungs. Therefore, the A/Beijing/501/2009 H1N1 isolate successfully infected the lungs of ferrets and caused more pathological lesions than the seasonal influenza virus. Our findings demonstrate that the difference in virulence of the 2009 pandemic H1N1 influenza virus and the seasonal H1N1 influenza virus in vitro and in vivo may have been mediated by different mechanisms. Conclusion/Significance Our understanding of the pathogenesis of the 2009 A (H1N1) influenza virus infection in both humans and animals is broadened by our findings that apoptotic cell death is involved in the cytopathic effect observed in vitro and that the pathological alterations in the lungs of S-OIV H1N1-infected ferrets are much more severe.
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Affiliation(s)
- Penghui Yang
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
- Department of Hepatobiliary, 302 Military Hospital, Beijing, China
| | - Jiejie Deng
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
| | - Chenggang Li
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
| | - Peirui Zhang
- Department of Hepatobiliary, 302 Military Hospital, Beijing, China
| | - Li Xing
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
| | - Zhiwei Li
- Department of Hepatobiliary, 302 Military Hospital, Beijing, China
| | - Wei Wang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Zhao
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
| | - Yiwu Yan
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
| | - Hongjing Gu
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
| | - Xin Liu
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
| | - Zhongpeng Zhao
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
| | - Shaogeng Zhang
- Department of Hepatobiliary, 302 Military Hospital, Beijing, China
- * E-mail: (SZ); (CJ); (XW)
| | - Xiliang Wang
- Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China
- * E-mail: (SZ); (CJ); (XW)
| | - Chengyu Jiang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Peking Union Medical College, Tsinghua University; Chinese Academy of Medical Sciences, Beijing, China
- * E-mail: (SZ); (CJ); (XW)
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