Evidence map›Paper›PMID 33064776›Full record

ArticlePLoS pathogens2020

Cellular co-infection can modulate the efficiency of influenza A virus production and shape the interferon response.

Brigitte E Martin, Jeremy D Harris, Jiayi Sun, Katia Koelle, Christopher B Brooke

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  7. Tropism for ciliated cells is the dominant driver of influenza viral burst size in the human airway.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  9. Article
  10. Review
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  12. ProcClusterFrontiers in microbiology · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Brigitte E MartinDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.ORCID 0000-0003-2703-2144
Jeremy D HarrisDepartment of Biology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0002-6836-3620
Jiayi SunDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
Katia KoelleDepartment of Biology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0002-0254-6141
Christopher B BrookeDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.ORCID 0000-0002-6815-1193
University of Illinois Urbana-Champaign · USEmory University · US

Funding

Hypertension and Cardiorenal Research Training ProgramT32HL105324 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI Joey P. Granger · 2010 to 2026
$7.8M
The effects of influenza virus genomic heterogeneity on replication dynamics and the host responseR01AI139246 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BROOKE, CHRISTOPHER BYRON · 2018 to 2022
$1.9M
NHLBI NIH HHS T32 HL105324NIAID NIH HHS R01 AI139246
6 · The paper itself

Abstract

During viral infection, the numbers of virions infecting individual cells can vary significantly over time and space. The functional consequences of this variation in cellular multiplicity of infection (MOI) remain poorly understood. Here, we rigorously quantify the phenotypic consequences of cellular MOI during influenza A virus (IAV) infection over a single round of replication in terms of cell death rates, viral output kinetics, interferon and antiviral effector gene transcription, and superinfection potential. By statistically fitting mathematical models to our data, we precisely define specific functional forms that quantitatively describe the modulation of these phenotypes by MOI at the single cell level. To determine the generality of these functional forms, we compare two distinct cell lines (MDCK cells and A549 cells), both infected with the H1N1 strain A/Puerto Rico/8/1934 (PR8). We find that a model assuming that infected cell death rates are independent of cellular MOI best fits the experimental data in both cell lines. We further observe that a model in which the rate and efficiency of virus production increase with cellular co-infection best fits our observations in MDCK cells, but not in A549 cells. In A549 cells, we also find that induction of type III interferon, but not type I interferon, is highly dependent on cellular MOI, especially at early timepoints. This finding identifies a role for cellular co-infection in shaping the innate immune response to IAV infection. Finally, we show that higher cellular MOI is associated with more potent superinfection exclusion, thus limiting the total number of virions capable of infecting a cell. Overall, this study suggests that the extent of cellular co-infection by influenza viruses may be a critical determinant of both viral production kinetics and cellular infection outcomes in a host cell type-dependent manner.

Indexed as

A549 CellsAnimalsCoinfectionDogsHost-Pathogen InteractionsHumansImmunity, InnateInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInterferon LambdaInterferonsInterferon Type IMadin Darby Canine Kidney CellsOrthomyxoviridae InfectionsViral Nonstructural ProteinsVirus ReplicationInterferon LambdaInterferonsInterferon Type IViral Nonstructural Proteins

Identifiers

PMID33064776
PMCPMC7592918
OpenAlexW3093414068

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.