Evidence map›Paper›PMID 32849386›Full record

ArticleFrontiers in microbiology2020

A Refined View of Airway Microbiome in Chronic Obstructive Pulmonary Disease at Species and Strain-Levels.

Zhang Wang, Haiyue Liu, Fengyan Wang, Yuqiong Yang, Xiaojuan Wang, Boxuan Chen, Martin R Stampfli, Hongwei Zhou, Wensheng Shu, Christopher E Brightling and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
4.4field-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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Current drug research reviews · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Bronchial and Systemic Relationships ofInternational journal of molecular sciences · 2026
    Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Observational
  12. Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Frontiers in immunology · 2024
    Review
  19. Review
  20. 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

12 authors at 8 institutions in 3 countries.

Zhang WangInstitute of Ecological Science, School of Life Sciences, South China Normal University, Guangzhou, China.
Haiyue LiuState Key Laboratory of Organ Failure Research, Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Fengyan WangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yuqiong YangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaojuan WangInstitute of Ecological Science, School of Life Sciences, South China Normal University, Guangzhou, China.
Boxuan ChenInstitute of Ecological Science, School of Life Sciences, South China Normal University, Guangzhou, China.
Martin R StampfliDepartment of Medicine, Firestone Institute for Respiratory Health at St. Joseph's Healthcare, McMaster University, Hamilton, ON, Canada.
Hongwei ZhouState Key Laboratory of Organ Failure Research, Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wensheng ShuInstitute of Ecological Science, School of Life Sciences, South China Normal University, Guangzhou, China.
Christopher E BrightlingInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.
Zhenyu LiangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Rongchang ChenState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
South China Normal University · CNGuangzhou Medical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNNIHR Leicester Biomedical Research Centre · GBSouthern Medical University · CNState Key Laboratory of Respiratory Disease · CNSt. Joseph’s Healthcare Hamilton · CAZhujiang Hospital · CN

Funding

Medical Research Council G0601369Medical Research Council G1001365
6 · The paper itself

Abstract

Little is known about the underlying airway microbiome diversity in chronic obstructive pulmonary disease (COPD) at in-depth taxonomic levels. Here we present the first insights on the COPD airway microbiome at species and strain-levels. The full-length 16S rRNA gene was characterized from sputum in 98 COPD patients and 27 age-matched healthy controls, using the Pacific Biosciences sequencing platform. Individual species within the same genus exhibited reciprocal relationships with COPD and disease severity. Species dominant in health can be taken over by another species within the same genus but with potentially increasing pathogenicity in severe COPD patients.

Indexed as

airway inflammationairway microbiomeCOPDfull-length 16S sequencingPacBio

Identifiers

PMID32849386
PMCPMC7406711
OpenAlexW3045543694

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.