Evidence map›Paper›PMID 33941189›Full record

ArticleBMC biology2021

Cell culture-based production and in vivo characterization of purely clonal defective interfering influenza virus particles.

Marc D Hein, Prerna Arora, Pavel Marichal-Gallardo, Michael Winkler, Yvonne Genzel, Stefan Pöhlmann, Klaus Schughart, Sascha Y Kupke, Udo Reichl

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Marc D HeinOtto-von-Guericke-University Magdeburg, Chair of Bioprocess Engineering, Magdeburg, Germany.
Prerna AroraGerman Primate Center-Leibniz Institute for Primate Research, Infection Biology Unit, Göttingen, Germany.
Pavel Marichal-GallardoMax Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany.
Michael WinklerGerman Primate Center-Leibniz Institute for Primate Research, Infection Biology Unit, Göttingen, Germany.
Yvonne GenzelMax Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany.
Stefan PöhlmannGerman Primate Center-Leibniz Institute for Primate Research, Infection Biology Unit, Göttingen, Germany.
Klaus SchughartHelmholtz Centre for Infection Research, Department of Infection Genetics, Braunschweig, Germany.
Sascha Y KupkeMax Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany. kupke@mpi-magdeburg.mpg.de.ORCID 0000-0003-3943-9718
Udo ReichlOtto-von-Guericke-University Magdeburg, Chair of Bioprocess Engineering, Magdeburg, Germany.
Max Planck Institute for Dynamics of Complex Technical Systems · DEGerman Primate Center · DEOtto-von-Guericke-Universität Magdeburg · DEUniversity of Tennessee Health Science Center · US

Funding

Defense Advanced Research Projects Agency W911NF-17-2-0012
6 · The paper itself

Abstract

backgroundInfections with influenza A virus (IAV) cause high morbidity and mortality in humans. Additional to vaccination, antiviral drugs are a treatment option. Besides FDA-approved drugs such as oseltamivir or zanamivir, virus-derived defective interfering (DI) particles (DIPs) are considered promising new agents. IAV DIPs typically contain a large internal deletion in one of their eight genomic viral RNA (vRNA) segments. Consequently, DIPs miss the genetic information necessary for replication and can usually only propagate by co-infection with infectious standard virus (STV), compensating for their defect. In such a co-infection scenario, DIPs interfere with and suppress STV replication, which constitutes their antiviral potential.

resultsIn the present study, we generated a genetically engineered MDCK suspension cell line for production of a purely clonal DIP preparation that has a large deletion in its segment 1 (DI244) and is not contaminated with infectious STV as egg-derived material. First, the impact of the multiplicity of DIP (MODIP) per cell on DI244 yield was investigated in batch cultivations in shake flasks. Here, the highest interfering efficacy was observed for material produced at a MODIP of 1E-2 using an in vitro interference assay. Results of RT-PCR suggested that DI244 material produced was hardly contaminated with other defective particles. Next, the process was successfully transferred to a stirred tank bioreactor (500 mL working volume) with a yield of 6.0E+8 PFU/mL determined in genetically modified adherent MDCK cells. The produced material was purified and concentrated about 40-fold by membrane-based steric exclusion chromatography (SXC). The DI244 yield was 92.3% with a host cell DNA clearance of 97.1% (99.95% with nuclease digestion prior to SXC) and a total protein reduction of 97.2%. Finally, the DIP material was tested in animal experiments in D2(B6).A2G-Mx1

conclusionIn summary, experiments not only demonstrated that purely clonal influenza virus DIP preparations can be obtained with high titers from animal cell cultures but confirmed the potential of cell culture-derived DIPs as an antiviral agent.

Indexed as

Cell Culture TechniquesCoinfectionInfluenza A virusAnimalsAntiviral AgentsDefective VirusesFelodipineMiceAntiviral AgentsFelodipineAnimal experimentsAntiviralCell culture-based productionDefective interfering particlesDI244Genetically engineered MDCK cellsInfluenza A virusScale upSteric exclusion chromatography

Identifiers

PMID33941189
PMCPMC8091782
OpenAlexW3158189707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.