Evidence map›Paper›PMID 33214718›Full record

ReviewNature reviews. Microbiology2021

Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis.

Elio Rossi, Ruggero La Rosa, Jennifer A Bartell, Rasmus L Marvig, Janus A J Haagensen, Lea M Sommer, Søren Molin, Helle Krogh Johansen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 322 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
322citing papers in PubMed, 1 pooled it
–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

322 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. TheVirulence · 2026
    Article
  4. Article
  5. High resolution cryo-EM structure of theJournal of structural biology: X · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. How cystic fibrosis modulator therapy could transformMicrobiology (Reading, England) · 2026
    Review
  11. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

262 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.

Elio RossiDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-2042-608X
Ruggero La RosaThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-6705-3989
Jennifer A BartellThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0003-2750-9678
Rasmus L MarvigCenter for Genomic Medicine, Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-5267-3173
Janus A J HaagensenThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.
Lea M SommerDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-1622-6691
Søren MolinThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.
Helle Krogh JohansenDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark. hkj@biosustain.dtu.dk.ORCID http://orcid.org/0000-0003-0268-3717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intense genome sequencing of Pseudomonas aeruginosa isolates from cystic fibrosis (CF) airways has shown inefficient eradication of the infecting bacteria, as well as previously undocumented patient-to-patient transmission of adapted clones. However, genome sequencing has limited potential as a predictor of chronic infection and of the adaptive state during infection, and thus there is increasing interest in linking phenotypic traits to the genome sequences. Phenotypic information ranges from genome-wide transcriptomic analysis of patient samples to determination of more specific traits associated with metabolic changes, stress responses, antibiotic resistance and tolerance, biofilm formation and slow growth. Environmental conditions in the CF lung shape both genetic and phenotypic changes of P. aeruginosa during infection. In this Review, we discuss the adaptive and evolutionary trajectories that lead to early diversification and late convergence, which enable P. aeruginosa to succeed in this niche, and we point out how knowledge of these biological features may be used to guide diagnosis and therapy.

Indexed as

Biological EvolutionCystic FibrosisGenome, BacterialHumansPseudomonas aeruginosaPseudomonas Infections

Identifiers

What OpenQuestion holds

Textmetadata
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.