Evidence map›Paper›PMID 38849369›Full record

Observational studyNature communications2024

Microbial community organization designates distinct pulmonary exacerbation types and predicts treatment outcome in cystic fibrosis.

Stefanie Widder, Lisa A Carmody, Kristopher Opron, Linda M Kalikin, Lindsay J Caverly, John J LiPuma

Abstract readObservational Study
In one paragraph

Observational study in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Pilot Study ofDiagnostics (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Insights on the Pathogenesis ofJournal of clinical medicine · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Impact of day-to-day variation in FEV1 on measures of change: A conceptual description.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024
    Article
  15. Observational
  16. Microbiome analysis of Cystic Fibrosis sputum presents higher sensitivity than the conventional bacterial culture.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Stefanie WidderDepartment of Medicine 1, Research Division Infection Biology, Medical University of Vienna, 1090, Vienna, Austria. stefanie.widder@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-0733-5666
Lisa A CarmodyDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Kristopher OpronDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Linda M KalikinDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Lindsay J CaverlyDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
John J LiPumaDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.

Funding

Dynamics of airway microbiota at pulmonary exacerbation in cystic fibrosisR01HL136647 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIPUMA, JOHN J · 2017 to 2020
$1.3M
Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) V585-B31Austrian Science Fund FWF V 585Cystic Fibrosis Foundation (CF Foundation) LIPUMA13I0Cystic Fibrosis Foundation (CF Foundation) LIPUMA15P0NHLBI NIH HHS R01 HL136647
6 · The paper itself

Abstract

Polymicrobial infection of the airways is a hallmark of obstructive lung diseases such as cystic fibrosis (CF), non-CF bronchiectasis, and chronic obstructive pulmonary disease. Pulmonary exacerbations (PEx) in these conditions are associated with accelerated lung function decline and higher mortality rates. Understanding PEx ecology is challenged by high inter-patient variability in airway microbial community profiles. We analyze bacterial communities in 880 CF sputum samples collected during an observational prospective cohort study and develop microbiome descriptors to model community reorganization prior to and during 18 PEx. We identify two microbial dysbiosis regimes with opposing ecology and dynamics. Pathogen-governed PEx show hierarchical community reorganization and reduced diversity, whereas anaerobic bloom PEx display stochasticity and increased diversity. A simulation of antimicrobial treatment predicts better efficacy for hierarchically organized communities. This link between PEx, microbiome organization, and treatment success advances the development of personalized clinical management in CF and, potentially, other obstructive lung diseases.

Indexed as

Cystic FibrosisDysbiosisMicrobiotaSputumAdolescentAdultAnti-Bacterial AgentsBacteriaDisease ProgressionFemaleHumansLungMaleProspective StudiesPulmonary Disease, Chronic ObstructiveTreatment OutcomeAnti-Bacterial Agents

Identifiers

PMID38849369
PMCPMC11161516

What OpenQuestion holds

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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.