Evidence map›Paper›PMID 28187782›Full record

ArticleMicrobiome2017

Sputum DNA sequencing in cystic fibrosis: non-invasive access to the lung microbiome and to pathogen details.

Rounak Feigelman, Christian R Kahlert, Florent Baty, Frank Rassouli, Rebekka L Kleiner, Philipp Kohler, Martin H Brutsche, Christian von Mering

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 citations in OpenAlex.

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  10. Shallow metagenomic shotgun sequencing improves detection of pathogenic species in cystic fibrosis respiratory samples.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2025
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15 more citing papers are in PubMed but not listed here.

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.

Rounak FeigelmanInstitute 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.
Florent BatyPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Frank RassouliPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Rebekka L KleinerPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Philipp KohlerPneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Martin H BrutschePneumology and Sleep Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Christian von MeringInstitute 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

backgroundCystic fibrosis (CF) is a life-threatening genetic disorder, characterized by chronic microbial lung infections due to abnormally viscous mucus secretions within airways. The clinical management of CF typically involves regular respiratory-tract cultures in order to identify pathogens and to guide treatment. However, culture-based methods can miss atypical or slow-growing microbes. Furthermore, the isolated microbes are often not classified at the strain level due to limited taxonomic resolution.

resultsHere, we show that untargeted metagenomic sequencing of sputum DNA can provide valuable information beyond the possibilities of culture-based diagnosis. We sequenced the sputum of six CF patients and eleven control samples (including healthy subjects and chronic obstructive pulmonary disease patients) without prior depletion of human DNA or cell size selection, thus obtaining the most unbiased and comprehensive characterization of CF respiratory tract microbes to date. We present detailed descriptions of the CF and healthy lung microbiome, reconstruct near complete pathogen genomes, and confirm that the CF lungs consistently exhibit reduced microbial diversity. Crucially, the obtained genomic sequences enabled a detailed identification of the exact pathogen strain types, when analyzed in conjunction with existing multi-locus sequence typing databases. We also detected putative pathogenicity islands and indicators of antibiotic resistance, in good agreement with independent clinical tests.

conclusionsUnbiased sputum metagenomics provides an in-depth profile of the lung pathogen microbiome, which is complementary to and more detailed than standard culture-based reporting. Furthermore, functional and taxonomic features of the dominant pathogens, including antibiotics resistances, can be deduced-supporting accurate and non-invasive clinical diagnosis.

Indexed as

High-Throughput Nucleotide SequencingMetagenomeMicrobiotaBacteriaCystic FibrosisDrug Resistance, BacterialGenetic VariationGenomic IslandsHumansLungMetagenomicsMultilocus Sequence TypingRespiratory Tract InfectionsSputumCOPDCystic fibrosisLung metagenomeSputumWGS metagenomic sequencing

Identifiers

PMID28187782
PMCPMC5303297
OpenAlexW2587583310

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.