Evidence map›Paper›PMID 28851370›Full record

ArticleRespiratory research2017

Comparing microbiota profiles in induced and spontaneous sputum samples in COPD patients.

Solveig Tangedal, Marianne Aanerud, Rune Grønseth, Christine Drengenes, Harald G Wiker, Per S Bakke, Tomas M Eagan

Abstract readComparative Study
In one paragraph

Article in Respiratory research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. The lung microbiome: progress and promise.The Journal of clinical investigation · 2021
    Review
  10. Review
  11. Type 2-high asthma is associated with a specific indoor mycobiome and microbiome.The Journal of allergy and clinical immunology · 2021
    Article
  12. Article
  13. Article
  14. Perspectives in lung microbiome research.Current opinion in microbiology · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Altered community compositions ofInternational journal of chronic obstructive pulmonary disease · 2018
    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

7 authors.

Solveig TangedalDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway. stangedal@gmail.com.ORCID 0000-0001-8060-5306
Marianne AanerudDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.
Rune GrønsethDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.
Christine DrengenesDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway.
Harald G WikerDepartment of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway.
Per S BakkeDepartment of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway.
Tomas M EaganDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway. tomas.eagan@uib.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInduced and spontaneous sputum are used to evaluate the airways microbiota. Whether the sputum types can be used interchangeably in microbiota research is unknown. Our aim was to compare microbiota in induced and spontaneous sputum from COPD patients sampled during the same consultation.

methodsCOPD patients from Bergen, Norway, were followed between 2006/2010, examined during the stable state and exacerbations. 30 patients delivered 36 sample pairs. DNA was extracted by enzymatic and mechanical lysis methods. The V3-V4 region of the 16S rRNA gene was PCR-amplified and prepared for paired-end sequencing. Illumina Miseq System was used for sequencing, and Quantitative Insights Into Microbial Ecology (QIIME) and Stata were used for bioinformatics and statistical analyses.

resultsApproximately 4 million sequences were sorted into 1004 different OTUs and further assigned to 106 different taxa. Pair-wise comparison of both taxonomic composition and beta-diversity revealed significant differences in one or both parameters in 1/3 of sample pairs. Alpha-diversity did not differ. Comparing abundances for each taxa identified, showed statistically significant differences between the mean abundances in induced versus spontaneous samples for 15 taxa when disease state was considered. This included potential pathogens like Haemophilus and Moraxella.

conclusionWhen studying microbiota in sputum samples one should take into consideration how samples are collected and avoid the usage of both induced and spontaneous sputum in the same study.

Indexed as

AdultAgedFemaleFollow-Up StudiesHumansMaleMicrobiotaMiddle AgedNorwayPulmonary Disease, Chronic ObstructiveSputumCOPDHigh-throughput sequencingMicrobiotaSputum

Identifiers

PMID28851370
PMCPMC5576328

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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.