Evidence map›Paper›PMID 30819175›Full record

Observational studyRespiratory research2019

The composition of the pulmonary microbiota in sarcoidosis - an observational study.

André Becker, Giovanna Vella, Valentina Galata, Katharina Rentz, Christoph Beisswenger, Christian Herr, Jörn Walter, Sascha Tierling, Hortense Slevogt, Andreas Keller and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Respiratory research, 2019. 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. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Overview of multi-omics approaches for pulmonary sarcoidosis.EC pulmonology and respiratory medicine · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Visualization of the individual blood microbiome to study the etiology of sarcoidosis.Computational and structural biotechnology journal · 2023
    Article
  11. Article
  12. Article
  13. Epigenetics and sarcoidosis.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Trained Innate Immunity Not Always Amicable.International journal of molecular sciences · 2019
    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

11 authors.

André BeckerDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany.
Giovanna VellaDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany.
Valentina GalataChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Katharina RentzDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany.
Christoph BeisswengerDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany.
Christian HerrDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany.
Jörn WalterDepartment of Genetics/Epigenetics, Faculty NT, Saarland University, Saarbrücken, Germany.
Sascha TierlingDepartment of Genetics/Epigenetics, Faculty NT, Saarland University, Saarbrücken, Germany.
Hortense SlevogtSeptomics Research Center, Jena University Hospital, Jena, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Robert BalsDepartment of Internal Medicine V - Pulmonology, Allergology, Critical Care Medicine, Saarland University Hospital, Homburg, Germany. robert.bals@uks.eu.ORCID http://orcid.org/0000-0002-1472-9535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcoidosis is a systemic disease of unknown etiology. The disease mechanisms are largely speculative and may include the role microbial patterns that initiate and drive an underlying immune process. The aim of this study was to characterize the microbiota of the lung of patients with sarcoidosis and compare its composition and diversity with the results from patients with other interstitial lung disease (ILD) and historic healthy controls.

methodsPatients (sarcoidosis, n = 31; interstitial lung disease, n = 19) were recruited within the PULMOHOM study, a prospective cohort study to characterize inflammatory processes in pulmonary diseases. Bronchoscopy of the middle lobe or the lingula was performed and the recovered fluid was immediately sent for analysis of the pulmonary microbiota by 16sRNA gene sequencing. Subsequent bioinformatic analysis was performed to compare the groups.

resultsThere were no significant differences between patients with sarcoidosis or other ILDs with regard to microbiome composition and diversity. In addition, the abundance of the genera Atopobium, Fusobacterium, Mycobacterium or Propionibacterium were not different between the two groups. There were no gross differences to historical healthy controls.

conclusionThe analysis of the pulmonary microbiota based on 16sRNA gene sequencing did not show a significant dysbiosis in patients with sarcoidosis as compared to other ILD patients. These data do not exclude a microbiological component in the pathogenesis of sarcoidosis.

Indexed as

AdultAgedAged, 80 and overBronchoalveolar Lavage FluidCohort StudiesFemaleHumansLung Diseases, InterstitialMaleMicrobiotaMiddle AgedProspective StudiesSarcoidosis, PulmonaryYoung AdultInfectionInflammationInterstitial lung diseaseMicrobiomeSarcoidosis

Identifiers

PMID30819175
PMCPMC6396534

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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.