Evidence map›Paper›PMID 25945594›Full record

ArticleAmerican journal of respiratory and critical care medicine2015

Host Response to the Lung Microbiome in Chronic Obstructive Pulmonary Disease.

Marc A Sze, Pedro A Dimitriu, Masaru Suzuki, John E McDonough, Josh D Campbell, John F Brothers, John R Erb-Downward, Gary B Huffnagle, Shizu Hayashi, W Mark Elliott and 6 more

Abstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 3 pooled it
21.0field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 3 syntheses or guidelines pooled it, 251 citations in OpenAlex.

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  16. Mechanisms and markers of lung ageing in health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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  18. Article
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75 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 3 countries.

Marc A Sze1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
Pedro A Dimitriu3 Department of Microbiology and Immunology, Life Sciences Institute, and.
Masaru Suzuki1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
John E McDonough1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
Josh D Campbell5 Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
John F Brothers5 Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
John R Erb-Downward6 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; and.
Gary B Huffnagle6 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; and.
Shizu Hayashi1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
W Mark Elliott1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
Joel Cooper7 Department of Cardiovascular and Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Don D Sin1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
Marc E Lenburg5 Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
Avrum Spira5 Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
William W Mohn3 Department of Microbiology and Immunology, Life Sciences Institute, and.
James C Hogg1 Centre for Heart Lung Innovation, Providence Heart + Lung Institute at St. Paul's Hospital, Vancouver, British Columbia, Canada.
Boston University · USSt. Paul's Hospital · CAUniversity of British Columbia · CACzech Academy of Sciences, Institute of Microbiology · CZUniversity of Michigan · USUniversity of Pennsylvania · US

Funding

Linking airway genomics to the pathogenesis and clinical heterogeneity of COPDR01HL095388 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LENBURG, MARC ELLIOTT, SPIRA, AVRUM E · 2008 to 2011
$2.9M
Pulmonary bacterial microbiome-epithelial cell interactions in COPDR01HL114447 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUFFNAGLE, GARY B, MARTINEZ, FERNANDO J · 2012 to 2015
$1.5M
Canadian Institutes of Health Research CIF-9768NHLBI NIH HHS 5R01 HL095388NHLBI NIH HHS R01 HL095388NHLBI NIH HHS R01 HL114447NHLBI NIH HHS R01HL114447
6 · The paper itself

Abstract

rationaleThe relatively sparse but diverse microbiome in human lungs may become less diverse in chronic obstructive pulmonary disease (COPD). This article examines the relationship of this microbiome to emphysematous tissue destruction, number of terminal bronchioles, infiltrating inflammatory cells, and host gene expression.

methodsCulture-independent pyrosequencing microbiome analysis was used to examine the V3-V5 regions of bacterial 16S ribosomal DNA in 40 samples of lung from 5 patients with COPD (Global Initiative for Chronic Obstructive Lung Disease [GOLD] stage 4) and 28 samples from 4 donors (controls). A second protocol based on the V1-V3 regions was used to verify the bacterial microbiome results. Within lung tissue samples the microbiome was compared with results of micro-computed tomography, infiltrating inflammatory cells measured by quantitative histology, and host gene expression. MEASUREMENTS AND MAIN

resultsTen operational taxonomic units (OTUs) was found sufficient to discriminate between control and GOLD stage 4 lung tissue, which included known pathogens such as Haemophilus influenzae. We also observed a decline in microbial diversity that was associated with emphysematous destruction, remodeling of the bronchiolar and alveolar tissue, and the infiltration of the tissue by CD4(+) T cells. Specific OTUs were also associated with neutrophils, eosinophils, and B-cell infiltration (P < 0.05). The expression profiles of 859 genes and 235 genes were associated with either enrichment or reductions of Firmicutes and Proteobacteria, respectively, at a false discovery rate cutoff of less than 0.1.

conclusionsThese results support the hypothesis that there is a host immune response to microorganisms within the lung microbiome that appears to contribute to the pathogenesis of COPD.

Indexed as

MicrobiotaBronchiolesCase-Control StudiesCD4-Positive T-LymphocytesFemaleHumansMaleMiddle AgedNeutrophil InfiltrationPulmonary Disease, Chronic ObstructivebacteriaCOPDinflammationmicrobiome

Identifiers

PMID25945594
PMCPMC4595667
OpenAlexW1931450175

What OpenQuestion holds

Textmetadata
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.