Evidence map›Paper›PMID 28905200›Full record

ArticleMicrobial ecology2018

Development of a Stable Lung Microbiome in Healthy Neonatal Mice.

Matea Kostric, Katrin Milger, Susanne Krauss-Etschmann, Marion Engel, Gisle Vestergaard, Michael Schloter, Anne Schöler

Abstract read
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In one paragraph

Article in Microbial ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Metagenomic sequencing reveals swine lung microbial communities and metagenome-assembled genomes associated with lung lesions-a pilot study.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Methods in Lung Microbiome Research.American journal of respiratory cell and molecular biology · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Matea KostricResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85716, Neuherberg, Germany.
Katrin MilgerDepartment of Internal Medicine V, University of Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), Munich, Germany.
Susanne Krauss-EtschmannDivision of Experimental Asthma Research, Research Center Borstel, Leibniz-Center for Medicine and Biosciences, Member of the German Center for Lung Research (DZL), Parkallee 1-40, 23845, Borstel, Germany.
Marion EngelResearch Unit Scientific Computing, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85716, Neuherberg, Germany.
Gisle VestergaardResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85716, Neuherberg, Germany.
Michael SchloterResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85716, Neuherberg, Germany. schloter@helmholtz-muenchen.de.
Anne SchölerResearch Unit Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85716, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lower respiratory tract has been previously considered sterile in a healthy state, but advances in culture-independent techniques for microbial identification and characterization have revealed that the lung harbors a diverse microbiome. Although research on the lung microbiome is increasing and important questions were already addressed, longitudinal studies aiming to describe developmental stages of the microbial communities from the early neonatal period to adulthood are lacking. Thus, little is known about the early-life development of the lung microbiome and the impact of external factors during these stages. In this study, we applied a barcoding approach based on high-throughput sequencing of 16S ribosomal RNA gene amplicon libraries to determine age-dependent differences in the bacterial fraction of the murine lung microbiome and to assess potential influences of differing "environmental microbiomes" (simulated by the application of used litter material to the cages). We could clearly show that the diversity of the bacterial community harbored in the murine lung increases with age. Interestingly, bacteria belonging to the genera Delftia and Rhodococcus formed an age-independent core microbiome. The addition of the used litter material influenced the lung microbiota of young mice but did not significantly alter the community composition of adult animals. Our findings elucidate the dynamic nature of the early-life lung microbiota and its stabilization with age. Further, this study indicates that even slight environmental changes modulate the bacterial community composition of the lung microbiome in early life, whereas the lung microbes of adults demonstrate higher resilience towards environmental variations.

Indexed as

MicrobiotaAnimalsAnimals, NewbornBacteriaDNA, BacterialDNA, RibosomalFemaleHigh-Throughput Nucleotide SequencingLungMiceMice, Inbred BALB CDNA, BacterialDNA, Ribosomal16S rRNA-based barcodingCore microbiomeDelftiaMurine lung microbiomeRhodococcus

Identifiers

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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.