Evidence map›Paper›PMID 28649398›Full record

ArticleNPJ biofilms and microbiomes2016

Ecological networking of cystic fibrosis lung infections.

Robert A Quinn, Katrine Whiteson, Yan Wei Lim, Jiangchao Zhao, Douglas Conrad, John J LiPuma, Forest Rohwer, Stefanie Widder

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
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  20. Aryl Hydrocarbon Receptor (AhR) Activation by 2,3,7,8-Tetrachlorodibenzo-International journal of molecular sciences · 2021
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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

8 authors at 5 institutions in 2 countries.

Robert A QuinnDepartment of Biology, San Diego State University, San Diego, CA 92182 USA.
Katrine WhitesonDepartment of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA 92697 USA.
Yan Wei LimDepartment of Biology, San Diego State University, San Diego, CA 92182 USA.
Jiangchao ZhaoDepartment of Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, MI 48109 USA.
Douglas ConradDepartment of Medicine, University of California at San Diego, La Jolla, CA 92037 USA.
John J LiPumaDepartment of Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, MI 48109 USA.
Forest RohwerDepartment of Biology, San Diego State University, San Diego, CA 92182 USA.
Stefanie WidderCUBE, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstr.14 A-1090, Vienna, Austria.
San Diego State University · USUniversity of Michigan–Ann Arbor · USUniversity of California, Irvine · USUniversity of California, San Diego · USUniversity of Vienna · AT

Funding

Ecology of Cystic Fibrosis: Administrative SupplementR01GM095384 · NIGMS · SAN DIEGO STATE UNIVERSITY · PI ROHWER, FOREST L · 2011 to 2014
$1.9M
The lung microbiota in cystic fibrosisRC1HL100809 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LI, JUN, LIPUMA, JOHN J · 2009 to 2010
$999k
Omics of pulmonary exacerbations in cystic fibrosisR56HL126754 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIPUMA, JOHN J · 2016 to 2016
$388k
NHLBI NIH HHS R56 HL126754NHLBI NIH HHS RC1 HL100809NIGMS NIH HHS R01 GM095384
6 · The paper itself

Abstract

In the context of a polymicrobial infection, treating a specific pathogen poses challenges because of unknown consequences on other members of the community. The presence of ecological interactions between microbes can change their physiology and response to treatment. For example, in the cystic fibrosis lung polymicrobial infection, antimicrobial susceptibility testing on clinical isolates is often not predictive of antibiotic efficacy. Novel approaches are needed to identify the interrelationships within the microbial community to better predict treatment outcomes. Here we used an ecological networking approach on the cystic fibrosis lung microbiome characterized using 16S rRNA gene sequencing and metagenomics. This analysis showed that the community is separated into three interaction groups: Gram-positive anaerobes,

Identifiers

PMID28649398
PMCPMC5460249
OpenAlexW2559009252

What OpenQuestion holds

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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.