Evidence map›Paper›PMID 32811432›Full record

ArticleBMC infectious diseases2020

The sputum microbiome associated with different sub-types of AECOPD in a Chinese cohort.

Juan Wang, Jianmin Chai, Lina Sun, Jiangchao Zhao, Chun Chang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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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

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

  1. Pooled it
  2. Article
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  4. Why the COPD Microbiome Matters: How Airway Microbes Shape Disease Severity and Treatment Response.International journal of chronic obstructive pulmonary disease · 2026
    Review
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  16. Coinfection with influenza virus and non-typeableFrontiers in microbiology · 2023
    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

5 authors.

Juan WangDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China.
Jianmin ChaiDepartment of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, 72701, USA.
Lina SunDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China.
Jiangchao ZhaoDepartment of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, 72701, USA. jzhao77@uark.edu.ORCID http://orcid.org/0000-0002-2894-8560
Chun ChangDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China. doudou_1977@163.com.

Funding

National Natural Science Foundation of China 81970028National Science and Technology Planning Project (CN) 81641153Natural Science Foundation of Tianjin Municipal Science and Technology Commission (CN) 7173273
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is one of the most prevalent diseases worldwide. Episodes of acute exacerbations of COPD (AECOPD) are associated with disease severity and progression. Although substantial progress has been made in understanding the dynamics of AECOPD, little is known about the sputum microbiome of AECOPD in the Chinese population.

methodsIn this study, we characterized the sputum microbiomes from sputum specimens collected from healthy controls (n = 10), stable (n = 4), AECOPD (n = 36), and recovery (n = 18) stages by sequencing the V3-V4 region of the 16S rRNA gene with a HiSeq sequencer.

resultsStreptococcus was the most dominant genus among all the different types of sputum. A random forest model was developed to identify bacterial taxa that differentiate AECOPD samples from others. Most of the top predictors, except Pseudomonas, were less abundant in AECOPD samples. We also developed random forest models to differentiate subtypes of AECOPD based on blood eosinophil counts, the frequency of AECOPD, and sputum eosinophils. Bacterial taxa associated with Pasteurellaceae, Fusobacterium, Solobacterium, Haemophilus, Atopobium, Corynebacterium and Streptococcus, were enriched in the sputum microbiomes of eosinophilic AECOPD. Random forest models also demonstrate that a total of 2 bacterial OTUs were needed to differentiate frequent from non-frequent AECOPDs, and 23 OTUs were enough to accurately predict sputum-eosinophilic (sputum eosinophilic concentration ≥ 3%) AECOPD.

conclusionThis study expanded our understanding of the sputum microbiome associated with different subtypes and clinical status of patients with AECOPD in a Chinese cohort, which provides insights into novel and more targeted management of the different subtypes of AECOPD.

Indexed as

AgedAged, 80 and overBiomarkersChinaCohort StudiesDisease ProgressionEosinophilsFemaleHumansLeukocyte CountMaleMicrobiotaMiddle AgedPrevalencePulmonary Disease, Chronic ObstructiveRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16SAECOPDBiomarkersEosinophilic AECOPDSputum microbiomeSubtypes

Identifiers

PMID32811432
PMCPMC7433052

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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.