Evidence map›Paper›PMID 27102577›Full record

ArticleInfluenza and other respiratory viruses2016

In vitro modeling of the interaction between human epithelial cells and lymphocytes upon influenza infection.

Natalia A Ilyushina, Peter F Wright

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Silent Infection of B and CD8Journal of virology · 2020
    Article
  3. Article
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

2 authors.

Natalia A IlyushinaCenter for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Peter F WrightDepartment of Pediatrics, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.

Funding

NIAID NIH HHS HHSN272200900026C
6 · The paper itself

Abstract

Influenza viruses are a continuous threat to humans because of their ability to cross species barriers and adapt to new hosts. Data from murine studies, along with limited human data, suggest that CD8(+) cytotoxic T lymphocytes (CTL) that recognize conserved epitopes of structural influenza proteins are the main mediators of influenza virus clearance. Additionally, the fact that many CTLs recognize epitopes shared between different influenza strains offers the potential for broad cross-strain immunity. However, the mechanisms of cellular immunity against influenza viruses are poorly defined in humans, where the CTL response has been hard to measure and interpret. We developed a novel CTL assay that utilizes fully differentiated nasal human epithelial cells taken from volunteers as permissive targets for autologous peripheral blood-derived influenza virus-specific cytotoxic T lymphocytes. This in vitro system of human lymphocyte-epithelial cell co-cultures can be considered as the closest approximation to events in vivo and can be employed for studying the interactions between the pathogen and human host. Modeling of the natural interaction process between the primary cell type that supports the productive replication of influenza and immune cells may allow us to put in perspective CTLs as a correlate of immunity to influenza in humans.

Indexed as

Cytotoxicity, ImmunologicHost-Pathogen InteractionsAnimalsCoculture TechniquesCytotoxicity Tests, ImmunologicDogsEpithelial CellsEpitopesHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N8 SubtypeMadin Darby Canine Kidney CellsNasal MucosaT-Lymphocytes, CytotoxicVirus ReplicationEpitopesCytotoxic T lymphocytesinfluenza viruslysisnasal human epithelial cells

Identifiers

PMID27102577
PMCPMC4947944

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Registered trials

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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.