Evidence map›Paper›PMID 30992494›Full record

ArticleScientific reports2019

Diversity of nasal microbiota and its interaction with surface microbiota among residents in healthcare institutes.

Chang-Hua Chen, Ming-Li Liou, Cheng-Yang Lee, Ming-Chuan Chang, Han-Yueh Kuo, Tzu-Hao Chang

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Effect of Antibiotic Exposure on Upper Respiratory Tract Bacterial Flora.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Trial
  2. Article
  3. Review
  4. International journal of systematic and evolutionary microbiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Human Microbiome-A Physiologic Perspective.Comprehensive Physiology · 2024
    Review
  10. Spatial Variations in the Nasal Microbiota of Staff Working in a Healthcare-Associated Research Core Facility.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Article
  11. mBio · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Microbes in the built environment.Scientific reports · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Chang-Hua ChenDivision of Infectious Diseases, Department of Internal Medicine, Changhua Christian Hospital, Changhua City, Taiwan.ORCID http://orcid.org/0000-0003-4564-8727
Ming-Li LiouDepartment of Medical Laboratory Science and Biotechnology, Yuanpei University, Hsin-Chu City, Taiwan.
Cheng-Yang LeeGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan.
Ming-Chuan ChangDepartment of Medicine, Nantou Christian Hospital, Nantou City, Taiwan.
Han-Yueh KuoDepartment of Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu City, Taiwan.
Tzu-Hao ChangGraduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan. kevinchang@tmu.edu.tw.ORCID http://orcid.org/0000-0001-7011-3754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nasal microbial communities may have crucial implications for human health, including for residents of healthcare institutes (HCIs). Factors that determine the diversity of nasal microbiota in HCIs remain unclear. Herein, we used 16S rRNA amplicon sequencing to investigate the relationship between nasal and surface microbiota in three HCIs. Participants were classified into a hospitalised or nonhospitalised group based on their most recent date of hospitalisation. A total of 88 nasal samples and 83 surface samples were analysed. Dysgonomonas and Corynebacterium were the most abundant taxa in the surface and nasal samples, respectively. Significant differences were discovered in microbiota diversity among HCIs when comparing the surface and nasal samples. Fifteen taxa were identified as present in all the surface and nasal samples. SourceTracker analysis revealed that the ventilation conditions of environment might be associated with the proportion of shared microbial communities between nasal and surface. Additionally, as compared with the nonhospitalised group, the hospitalised group had a higher proportion of surface microbiota in their nasal samples, which might lead to a higher risk of human-related microorganisms or pathogens colonising the nasal cavity. The data suggest that nasal bacterial diversity could be influenced by both health status and living environment. Our results therefore highlight the importance of the indoor environment for HCI residents.

Indexed as

Air MicrobiologyAir Pollution, IndoorBacteriaBacterial InfectionsHospitalizationHospitalsHumansMicrobiotaNasal CavityNoseRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID30992494
PMCPMC6467918

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.