Evidence map›Paper›PMID 32178738›Full record

ArticleMicrobiome2020

Characterization of antibiotic resistance and host-microbiome interactions in the human upper respiratory tract during influenza infection.

Lingdi Zhang, Christian V Forst, Aubree Gordon, Gabrielle Gussin, Adam B Geber, Porfirio J Fernandez, Tao Ding, Lauren Lashua, Minghui Wang, Angel Balmaseda and 3 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 80 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Lingdi ZhangCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Christian V ForstDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Aubree GordonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.
Gabrielle GussinCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Adam B GeberCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Porfirio J FernandezCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Tao DingCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Lauren LashuaCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Minghui WangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Angel BalmasedaNational Virology Laboratory, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua.
Richard BonneauCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Elodie GhedinCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA. elodie.ghedin@nyu.edu.
New York University · USIcahn School of Medicine at Mount Sinai · USSustainable Sciences Institute · USUniversity of Michigan–Ann Arbor · 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
Genomic profiling of influenza infections to identify biomarkers of disease severityZIAAI001323 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GHEDIN, ELODIE · 2020 to 2025
$8.0M
Epidemiology, transmission, and phylogenetics of influenza in a tropical countryU01AI088654 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI GORDON, AUBREE L, HARRIS, EVA · 2010 to 2014
$3.2M
NIAID NIH HHS HHSN272201400031CNIAID NIH HHS U01 AI088654NIAID NIH HHS U01 AI111598NIH HHS HHSN272201400031CNIH HHS U01 AI088654NIH HHS U01 AI111598
6 · The paper itself

Abstract

backgroundThe abundance and diversity of antibiotic resistance genes (ARGs) in the human respiratory microbiome remain poorly characterized. In the context of influenza virus infection, interactions between the virus, the host, and resident bacteria with pathogenic potential are known to complicate and worsen disease, resulting in coinfection and increased morbidity and mortality of infected individuals. When pathogenic bacteria acquire antibiotic resistance, they are more difficult to treat and of global health concern. Characterization of ARG expression in the upper respiratory tract could help better understand the role antibiotic resistance plays in the pathogenesis of influenza-associated bacterial secondary infection.

resultsThirty-seven individuals participating in the Household Influenza Transmission Study (HITS) in Managua, Nicaragua, were selected for this study. We performed metatranscriptomics and 16S rRNA gene sequencing analyses on nasal and throat swab samples, and host transcriptome profiling on blood samples. Individuals clustered into two groups based on their microbial gene expression profiles, with several microbial pathways enriched with genes differentially expressed between groups. We also analyzed antibiotic resistance gene expression and determined that approximately 25% of the sequence reads that corresponded to antibiotic resistance genes mapped to Streptococcus pneumoniae and Staphylococcus aureus. Following construction of an integrated network of ARG expression with host gene co-expression, we identified several host key regulators involved in the host response to influenza virus and bacterial infections, and host gene pathways associated with specific antibiotic resistance genes.

conclusionsThis study indicates the host response to influenza infection could indirectly affect antibiotic resistance gene expression in the respiratory tract by impacting the microbial community structure and overall microbial gene expression. Interactions between the host systemic responses to influenza infection and antibiotic resistance gene expression highlight the importance of viral-bacterial co-infection in acute respiratory infections like influenza. Video abstract.

Indexed as

Host Microbial InteractionsMicrobiotaAdolescentAdultBacteriaChildChild, PreschoolCoinfectionDrug Resistance, BacterialFemaleGene Expression ProfilingHumansInfluenza, HumanMaleNicaraguaRespiratory Tract InfectionsRNA, Ribosomal, 16SAntibiotic resistanceInfluenza infectionMetatranscriptomeMicrobiomeUpper respiratory tract infection

Identifiers

PMID32178738
PMCPMC7076942
OpenAlexW3012543821

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.