Evidence map›Paper›PMID 32403302›Full record

ReviewGenes2020

The Microbiome in Cystic Fibrosis Pulmonary Disease.

Alice Françoise, Geneviève Héry-Arnaud

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 111 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. BioMed research international · 2026
    Review
  6. iScience · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. The cystic fibrosis pathogenJournal of medical microbiology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Beyond the organ: lung microbiome shapes transplant indications and outcomes.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2024
    Review
  18. Changing profile of bacterial infection and microbiome in cystic fibrosis: when to use antibiotics in the era of CFTR-modulator therapy.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  19. Article
  20. Review

4 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

2 authors at 1 institution in 1 country.

Alice FrançoiseUMR 1078 GGB, University of Brest, Inserm, EFS, F-29200 Brest, France.
Geneviève Héry-ArnaudUMR 1078 GGB, University of Brest, Inserm, EFS, F-29200 Brest, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis (CF) is a genetic disease with mutational changes leading to profound dysbiosis, both pulmonary and intestinal, from a very young age. This dysbiosis plays an important role in clinical manifestations, particularly in the lungs, affected by chronic infection. The range of microbiological tools has recently been enriched by metagenomics based on next-generation sequencing (NGS). Currently applied essentially in a gene-targeted manner, metagenomics has enabled very exhaustive description of bacterial communities in the CF lung niche and, to a lesser extent, the fungi. Aided by progress in bioinformatics, this now makes it possible to envisage shotgun sequencing and opens the door to other areas of the microbial world, the virome, and the archaeome, for which almost everything remains to be described in cystic fibrosis. Paradoxically, applying NGS in microbiology has seen a rebirth of bacterial culture, but in an extended manner (culturomics), which has proved to be a perfectly complementary approach to NGS. Animal models have also proved indispensable for validating microbiome pathophysiological hypotheses. Description of pathological microbiomes and correlation with clinical status and therapeutics (antibiotic therapy, cystic fibrosis transmembrane conductance regulator (CFTR) modulators) revealed the richness of microbiome data, enabling description of predictive and follow-up biomarkers. Although monogenic, CF is a multifactorial disease, and both genotype and microbiome profiles are crucial interconnected factors in disease progression. Microbiome-genome interactions are thus important to decipher.

Indexed as

MicrobiotaAminophenolsAnimalsArchaeaBacteriaBiomarkersCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDisease Models, AnimalDisease ProgressionDysbiosisFungiGastrointestinal MicrobiomeGenotypeHigh-Throughput Nucleotide SequencingHumansAminophenolsBiomarkersCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorivacaftorQuinolonescystic fibrosisgut–lung axislung microbiomemetagenomics

Identifiers

PMID32403302
PMCPMC7288443
OpenAlexW3023968747

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.