Evidence map›Paper›PMID 28335562›Full record

ReviewViruses2017

Virus-Bacteria Interactions: An Emerging Topic in Human Infection.

Erin A Almand, Matthew D Moore, Lee-Ann Jaykus

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 129 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Erin A AlmandDepartment of Microbiology, North Carolina State University, Raleigh, NC 27695, USA. eaalmand@ncsu.edu.
Matthew D MooreDepartment of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Raleigh, NC 27695, USA. nni2@cdc.gov.
Lee-Ann JaykusDepartment of Microbiology, North Carolina State University, Raleigh, NC 27695, USA. lajaykus@ncsu.edu.
North Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria and viruses often occupy the same niches, however, interest in their potential collaboration in promoting wellness or disease states has only recently gained traction. While the interaction of some bacteria and viruses is well characterized (e.g., influenza virus), researchers are typically more interested in the location of the infection than the manner of cooperation. There are two overarching types of bacterial-virus disease causing interactions: direct interactions that in some way aid the viruses, and indirect interactions aiding bacteria. The virus-promoting direct interactions occur when the virus exploits a bacterial component to facilitate penetration into the host cell. Conversely, indirect interactions result in increased bacterial pathogenesis as a consequence of viral infection. Enteric viruses mainly utilize the direct pathway, while respiratory viruses largely affect bacteria in an indirect fashion. This review focuses on some key examples of how virus-bacteria interactions impact the infection process across the two organ systems, and provides evidence supporting this as an emerging theme in infectious disease.

Indexed as

Microbial InteractionsAnimalsBacterial InfectionsGastrointestinal DiseasesHumansRespiratory Tract InfectionsVirus Diseasesbacteriabacteria-virus interactionentericinteractionpathogenesisrespiratoryvirus

Identifiers

PMID28335562
PMCPMC5371813
OpenAlexW2597527483

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.