Evidence map›Paper›PMID 40188054›Full record

Observational studyBMC infectious diseases2025

Lung and gut microbiota profiling in intensive care unit patients: a prospective pilot study.

Antonios Kritikos, Eric Bernasconi, Yangji Choi, Valentin Scherz, Jean-Luc Pagani, Gilbert Greub, Claire Bertelli, Benoit Guery

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Sepsis in neonates with necrotizing enterocolitis: outcomes and predictive model.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Unveiling the role of the respiratory microbiome in long COVID pathogenesis and therapeutics.Chinese medical journal pulmonary and critical care medicine · 2025
    Article
  9. Article
  10. Host-Microbiome Interaction in the Intensive Care Unit.Diseases (Basel, Switzerland) · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Article
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.

Antonios KritikosInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Eric Bernasconi *Department of Respiratory Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Yangji Choi *Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Valentin ScherzInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Jean-Luc PaganiIntensive Care Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Gilbert GreubInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Claire Bertelli *Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Benoit Guery *Service of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. benoit.guery@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut and lung microbiomes play crucial roles in host defense and mayserve as predictive markersfor clinical outcomes in critically ill patients. Despite this, the simultaneous dynamics of lung and gut microbiomes during critical illness remain unclear. This study aims to assess the longitudinal changes in lung and gut microbiota among mechanically ventilated ICU patients with and without infection and to identify microbial features predictive of clinical outcomes, including the development of ventilator associated pneumonia (VAP).

methodsIn this prospective observational study, we analyzed 73 endotracheal aspirates (ETA) and 93 rectal swabs collected from 38 ICU patients over multiple timepoints (intubation, infection onset, post-antibiotic, and extubation/discharge). Patients were categorized into three groups: (1) VAP, (2) other infections, and (3) uninfected controls. Lung and gut microbiota were characterized using 16S rRNA gene sequencing. Primary outcomes included microbial diversity and community composition; secondary outcomes included ICU length of stay and ventilator-free days.

resultsAlpha diversity declined more significantly in infected patients than in controls during the ICU stay, with the most pronounced changes in lung microbiota. We found an enrichment of Enterobacteriaceae and other Proteobacteria in the lung microbiome of pneumonia patients, while the gut microbiota remained relatively stable. Relative abundances of key taxa such as Mogibacterium were associated with mechanical ventilation duration.

conclusionsThis study reveals that distinct microbial patterns in both lung and gut microbiota are associated with infection and clinical outcomes in critically ill patients. Understanding these dynamics is crucial for developing targeted microbiota interventions, potentially improving outcomes such as VAP prevention and management.

trial registrationEthics Committee of Canton Vaud, Switzerland (2017-01820).

Indexed as

BacteriaGastrointestinal MicrobiomeLungAdultAgedCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedPilot ProjectsPneumonia, Ventilator-AssociatedProspective StudiesRespiration, ArtificialRNA, Ribosomal, 16SRNA, Ribosomal, 16SAntibioticDysbiosisGut-lung axisGut microbiotaIntensive care unitLung microbiotaVentilation acquired pneumonia

Identifiers

PMID40188054
PMCPMC11972518

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.