Evidence map›Paper›PMID 31266874›Full record

ArticlemBio2019

Microbial Composition of the Human Nasopharynx Varies According to Influenza Virus Type and Vaccination Status.

Tao Ding, Timothy Song, Bin Zhou, Adam Geber, Yixuan Ma, Lingdi Zhang, Michelle Volk, Shashi N Kapadia, Stephen G Jenkins, Mirella Salvatore and 1 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 60 citations in OpenAlex.

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  19. Bacterial and Viral Respiratory Tract Microbiota and Host Characteristics in Adults With Lower Respiratory Tract Infections: A Case-Control Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    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

11 authors at 2 institutions in 1 country.

Tao DingCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Timothy SongCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Bin ZhouCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Adam GeberCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Yixuan MaCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Lingdi ZhangCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Michelle VolkCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA.
Shashi N KapadiaDepartment of Medicine, Weill Cornell Medical College, New York, New York, USA.
Stephen G JenkinsDepartment of Pathology, Weill Cornell Medical College, New York, New York, USA.
Mirella SalvatoreDepartment of Medicine, Weill Cornell Medical College, New York, New York, USA mis2053@med.cornell.edu elodie.ghedin@nyu.edu.ORCID 0000-0002-8296-0376
Elodie GhedinCenter for Genomics & Systems Biology, Department of Biology, New York University, New York, New York, USA mis2053@med.cornell.edu elodie.ghedin@nyu.edu.ORCID 0000-0002-1515-725X
New York University · USCornell University · US

Funding

Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza InfectionU01AI111598 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE · 2013 to 2017
$13.3M
Integrase Defective Lentiviral Vectors for Antibody Delivery against InfluenzaR21AI124141 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SALVATORE, MIRELLA · 2016 to 2017
$466k
NIAID NIH HHS R21 AI124141NIAID NIH HHS U01 AI111598
6 · The paper itself

Abstract

Factors that contribute to enhanced susceptibility to severe bacterial disease after influenza virus infection are not well defined but likely include the microbiome of the respiratory tract. Vaccination against influenza, while having variable effectiveness, could also play a role in microbial community stability. We collected nasopharyngeal samples from 215 individuals infected with influenza A/H3N2 or influenza B virus and profiled the microbiota by target sequencing of the 16S rRNA gene. We identified signature taxonomic groups by performing linear discriminant analysis and effective size comparisons (LEfSe) and defined bacterial community types using Dirichlet multinomial mixture (DMM) models. Influenza infection was shown to be significantly associated with microbial composition of the nasopharynx according to the virus type and the vaccination status of the patient. We identified four microbial community types across the combined cohort of influenza patients and healthy individuals with one community type most representative of the influenza virus-infected group. We also identified microbial taxa for which relative abundance was significantly higher in the unvaccinated elderly group; these taxa include species known to be associated with pneumonia.

Indexed as

MicrobiotaAdolescentAdultAgedAged, 80 and overBacteriaChildChild, PreschoolCluster AnalysisCommunity-Acquired InfectionsDNA, RibosomalFemaleHumansInfantInfluenza A virusInfluenza B virusDNA, RibosomalInfluenza VaccinesRNA, Ribosomal, 16S16S RNA sequencinginfluenza virusmicrobiomevaccination

Identifiers

PMID31266874
PMCPMC6606809
OpenAlexW2953461188

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.