Evidence map›Paper›PMID 28704452›Full record

ArticlePloS one2017

Influence of lung CT changes in chronic obstructive pulmonary disease (COPD) on the human lung microbiome.

Marion Engel, David Endesfelder, Brigitte Schloter-Hai, Susanne Kublik, Michael S Granitsiotis, Piera Boschetto, Mariarita Stendardo, Imre Barta, Balazs Dome, Jean-François Deleuze and 23 more

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 19 papers.

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

19 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
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  11. Article
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  13. Methods in Lung Microbiome Research.American journal of respiratory cell and molecular biology · 2020
    Review
  14. Article
  15. Observational
  16. Article
  17. Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis.Journal of occupational medicine and toxicology (London, England) · 2019
    Article
  18. Article
  19. 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

33 authors.

Marion EngelScientific Computing Research Unit, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-0741-8931
David EndesfelderScientific Computing Research Unit, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Brigitte Schloter-HaiResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, Germany.
Susanne KublikResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, Germany.
Michael S GranitsiotisResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, Germany.
Piera BoschettoDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Mariarita StendardoDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Imre BartaDepartment of Pathophysiology, National Koranyi Institute for TB and Pulmonology, Budapest, Hungary.
Balazs DomeDepartment of Pathophysiology, National Koranyi Institute for TB and Pulmonology, Budapest, Hungary.
Jean-François DeleuzeCentre National de Génotypage, Institut de Génomique, CEA, Evry, France.
Anne BolandCentre National de Génotypage, Institut de Génomique, CEA, Evry, France.
Joachim Müller-QuernheimDepartment of Pneumology, University Medical Center, Freiburg, Germany.
Antje PrasseDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany.
Tobias WelteDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany.
Jens HohlfeldDepartment of Respiratory Medicine, Hannover Medical School, Hannover, Germany.
Deepak SubramanianDepartment of Respiratory Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.
David ParrDepartment of Respiratory Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.
Ivo Glynne GutCNAG-CRG, Centre for Genomic Regulation, Barcelona Institute for Science and Technology, Barcelona, Spain.
Timm GreulichMember of the German Center for Lung Research (DZL), Giessen, Germany.
Andreas Rembert KoczullaMember of the German Center for Lung Research (DZL), Giessen, Germany.
Adam NowinskiSecond Department of Respiratory Medicine, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland.
Dorota GoreckaSecond Department of Respiratory Medicine, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland.
Dave SinghUniversity of Manchester, Medicines Evaluation Unit and University Hospital of South Manchester Foundation Trust, Manchester, United Kingdom.
Sumit GuptaInstitute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom.
Christopher E BrightlingInstitute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom.
Harald HoffmannInstitute of Microbiology and Laboratory Medicine, Synlab MVZ Gauting & IML red GmbH, Gauting, Germany.
Marion FrankenbergerCPC Comprehensive Pneumology Center, Helmholtz Zentrum München, Ludwig-Maximilians Universität und Asklepios Klinik Gauting, Munich, Germany.
Thomas P HoferEvA Study Center, Helmholtz Zentrum Muenchen, Gauting, Germany.
Dorothe BurggrafEvA Study Center, Helmholtz Zentrum Muenchen, Gauting, Germany.
Marion Heiss-NeumannEvA Study Center, Helmholtz Zentrum Muenchen, Gauting, Germany.
Loems Ziegler-HeitbrockEvA Study Center, Helmholtz Zentrum Muenchen, Gauting, Germany.
Michael SchloterResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Neuherberg, Germany.
Wolfgang Zu CastellScientific Computing Research Unit, Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in microbial community composition in the lung of patients suffering from moderate to severe COPD have been well documented. However, knowledge about specific microbiome structures in the human lung associated with CT defined abnormalities is limited.

methodsBacterial community composition derived from brush samples from lungs of 16 patients suffering from different CT defined subtypes of COPD and 9 healthy subjects was analyzed using a cultivation independent barcoding approach applying 454-pyrosequencing of 16S rRNA gene fragment amplicons.

resultsWe could show that bacterial community composition in patients with changes in CT (either airway or emphysema type changes, designated as severe subtypes) was different from community composition in lungs of patients without visible changes in CT as well as from healthy subjects (designated as mild COPD subtype and control group) (PC1, Padj = 0.002). Higher abundance of Prevotella in samples from patients with mild COPD subtype and from controls and of Streptococcus in the severe subtype cases mainly contributed to the separation of bacterial communities of subjects. No significant effects of treatment with inhaled glucocorticoids on bacterial community composition were detected within COPD cases with and without abnormalities in CT in PCoA. Co-occurrence analysis suggests the presence of networks of co-occurring bacteria. Four communities of positively correlated bacteria were revealed. The microbial communities can clearly be distinguished by their associations with the CT defined disease phenotype.

conclusionOur findings indicate that CT detectable structural changes in the lung of COPD patients, which we termed severe subtypes, are associated with alterations in bacterial communities, which may induce further changes in the interaction between microbes and host cells. This might result in a changed interplay with the host immune system.

Indexed as

AgedBacteriaDNA, BacterialDNA Barcoding, TaxonomicDNA, RibosomalFemaleHumansLungMaleMicrobiotaMiddle AgedPrevotellaPulmonary Disease, Chronic ObstructiveRNA, Ribosomal, 16SSequence Analysis, DNAStreptococcusDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID28704452
PMCPMC5509234

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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.