Evidence map›Paper›PMID 29216202›Full record

ArticlePloS one2017

Composition and variation of respiratory microbiota in healthy military personnel.

Jun Hang, Nela Zavaljevski, Yu Yang, Valmik Desai, Richard C Ruck, Louis R Macareo, Richard G Jarman, Jaques Reifman, Robert A Kuschner, Paul B Keiser

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. WORKbiota: A Systematic Review about the Effects of Occupational Exposure on Microbiota and Workers' Health.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Review
  4. Article
  5. The nasopharyngeal microbiome in COVID-19.Emerging microbes & infections · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Association of chronic rhinosinusitis with high microbiome dissimilarity among different patients and within individuals over time.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2020
    Article
  11. Article
  12. Article
  13. Evaluation of a stepwise approach using microbiota analysis, species-specific qPCRs and culture for the diagnosis of lower respiratory tract infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  14. Impact of occupational exposure on human microbiota.Current opinion in allergy and clinical immunology · 2019
    Review
  15. Article
  16. 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

10 authors.

Jun HangViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID http://orcid.org/0000-0002-6597-7045
Nela ZavaljevskiDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Fort Detrick, Maryland, United States of America.
Yu YangViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Valmik DesaiDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Fort Detrick, Maryland, United States of America.
Richard C RuckViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Louis R MacareoViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Richard G JarmanViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Jaques ReifmanDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Fort Detrick, Maryland, United States of America.
Robert A KuschnerViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
Paul B KeiserViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain occupational and geographical exposures have been associated with an increased risk of lung disease. As a baseline for future studies, we sought to characterize the upper respiratory microbiomes of healthy military personnel in a garrison environment. Nasal, oropharyngeal, and nasopharyngeal swabs were collected from 50 healthy active duty volunteers eight times over the course of one year (1107 swabs, completion rate = 92.25%) and subjected to pyrosequencing of the V1-V3 region of 16S rDNA. Respiratory bacterial taxa were characterized at the genus level, using QIIME 1.8 and the Ribosomal Database Project classifier. High levels of Staphylococcus, Corynebacterium, and Propionibacterium were observed among both nasal and nasopharyngeal microbiota, comprising more than 75% of all operational taxonomical units (OTUs). In contrast, Streptococcus was the sole dominant bacterial genus (approximately 50% of all OTUs) in the oropharynx. The average bacterial diversity was greater in the oropharynx than in the nasal or nasopharyngeal region at all time points. Diversity analysis indicated a significant overlap between nasal and nasopharyngeal samples, whereas oropharyngeal samples formed a cluster distinct from these two regions. The study produced a large set of pyrosequencing data on the V1-V3 region of bacterial 16S rDNA for the respiratory microbiomes of healthy active duty Service Members. Pre-processing of sequencing reads showed good data quality. The derived microbiome profiles were consistent both internally and with previous reports, suggesting their utility for further analyses and association studies based on sequence and demographic data.

Indexed as

MicrobiotaMilitary PersonnelCorynebacteriumDNA, RibosomalFemaleHumansMaleNasal CavityNasopharynxPropionibacteriumRespiratory SystemRNA, Ribosomal, 16SStaphylococcusDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID29216202
PMCPMC5720755

What OpenQuestion holds

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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.