Evidence map›Paper›PMID 33688005›Full record

ArticlemBio2021

Strain-Resolved Dynamics of the Lung Microbiome in Patients with Cystic Fibrosis.

Marija Dmitrijeva, Christian R Kahlert, Rounak Feigelman, Rebekka L Kleiner, Oliver Nolte, Werner C Albrich, Florent Baty, Christian von Mering

Open access · goldAbstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Exploring the Cystic Fibrosis Lung Microbiome: Making the Most of a Sticky Situation.Journal of the Pediatric Infectious Diseases Society · 2022
    Review
  16. Article
  17. 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

8 authors at 2 institutions in 1 country.

Marija DmitrijevaDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Christian R KahlertInfectious Diseases and Hospital Epidemiology, Children's Hospital of Eastern Switzerland, St. Gallen, Switzerland.
Rounak FeigelmanDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Rebekka L KleinerPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Oliver NolteHuman Microbiology, Centre for Laboratory Medicine, St. Gallen, Switzerland.
Werner C AlbrichInfectious Diseases and Hospital Epidemiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Florent BatyPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Christian von MeringDepartment of Molecular Life Sciences, University of Zurich, Zurich, Switzerland mering@imls.uzh.ch.ORCID 0000-0001-7734-9102
University of St.Gallen · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cystic fibrosis, dynamic and complex communities of microbial pathogens and commensals can colonize the lung. Cultured isolates from lung sputum reveal high inter- and intraindividual variability in pathogen strains, sequence variants, and phenotypes; disease progression likely depends on the precise combination of infecting lineages. Routine clinical protocols, however, provide a limited overview of the colonizer populations. Therefore, a more comprehensive and precise identification and characterization of infecting lineages could assist in making corresponding decisions on treatment. Here, we describe longitudinal tracking for four cystic fibrosis patients who exhibited extreme clinical phenotypes and, thus, were selected from a pilot cohort of 11 patients with repeated sampling for more than a year. Following metagenomics sequencing of lung sputum, we find that the taxonomic identity of individual colonizer lineages can be easily established. Crucially, even superficially clonal pathogens can be subdivided into multiple sublineages at the sequence level. By tracking individual allelic differences over time, an assembly-free clustering approach allows us to reconstruct multiple lineage-specific genomes with clear structural differences. Our study showcases a culture-independent shotgun metagenomics approach for longitudinal tracking of sublineage pathogen dynamics, opening up the possibility of using such methods to assist in monitoring disease progression through providing high-resolution routine characterization of the cystic fibrosis lung microbiome.

Indexed as

MicrobiotaBacteriaCystic FibrosisDNA, BacterialHigh-Throughput Nucleotide SequencingHumansLongitudinal StudiesLungMetagenomicsRespiratory Tract InfectionsSputumDNA, Bacterialcystic fibrosislongitudinal studylung sputummetagenomicsstrain typing

Identifiers

PMID33688005
PMCPMC8092271
OpenAlexW3134551521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.