Evidence map›Paper›PMID 41881444›Full record

ArticleBMJ open respiratory research2026

Antimicrobial resistance genes and antibiotic use in chronic lung disease: a bronchoscopy study of the lower airways microbiome.

Guri D Kringeland, Solveig Tangedal, Daniel Julian, Andreu Paytuví-Gallart, Walter Sanseverino, Randi J Bertelsen, Gunnar R Husebø, Kristel S Knudsen, Sverre Lehmann, Rune Nielsen and 1 more

Abstract read
In one paragraph

Article in BMJ open respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Guri D KringelandDepartment of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.
Solveig TangedalDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Vestland, Norway.ORCID http://orcid.org/0000-0001-8060-5306
Daniel JulianSequentia Biotech SL, Barcelona, Catalonia, Spain.
Andreu Paytuví-GallartSequentia Biotech SL, Barcelona, Catalonia, Spain.
Walter SanseverinoSequentia Biotech SL, Barcelona, Catalonia, Spain.
Randi J BertelsenDepartment of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-5319-525X
Gunnar R HusebøDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Vestland, Norway.
Kristel S KnudsenDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Vestland, Norway.
Sverre LehmannDepartment of Thoracic Medicine, Haukeland University Hospital, Bergen, Vestland, Norway.
Rune NielsenDepartment of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0003-2799-0430
Tomas M L EaganDepartment of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway tomas.eagan@uib.no.ORCID http://orcid.org/0000-0001-8725-9960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance genes (ARGs) in the respiratory microbiome are poorly characterised. We compared the presence of ARGs in healthy controls with patients with chronic lung disease in a cross-sectional study, adjusted for time since antibiotic use.

methodsBronchoalveolar lavage was collected from 100 controls, and 93 patients with chronic obstructive pulmonary disease (COPD), 13 with asthma, 34 with sarcoidosis, 12 with idiopathic pulmonary fibrosis (IPF) and 11 patients with unclassifiable interstitial lung disease (uILD). Participants had not used antibiotics 14 days prior to sampling. Shotgun metagenomic sequencing was performed with Illumina NovaSeq. ARGs were identified using the National Database of Antibiotic-Resistant Organisms. Sample reads were normalised to counts per million.

resultsIn total, 38% of controls had at least one ARG, compared with 51%, 39%, 65% and 83% of patients with COPD, asthma, sarcoidosis and IPF, respectively (p=0.01). ARGs against tetracycline (33%) were the most common ARG class, followed by beta-lactam and macrolide resistance (both 26%). In a logistic regression analysis adjusted for sex, age, body composition, smoking and antibiotic use, the OR (95% CI) for having ARGs in the lower airways was 1.30 (0.70 to 2.41) in COPD, 1.00 (0.29 to 3.52) in asthma, 3.52 (1.40 to 8.83) in sarcoidosis, 6.40 (1.25 to 32.73) in IPF and 3.27 (0.76 to 14.16) in uILD compared with controls. Overall mean (SD) ARG counts per million were 403.8 (537.7) in the 35 subjects who had used antibiotics ≤3 months before bronchoscopy, compared with 197.6 (355.9) in the 228 subjects without (p=0.02).

conclusionThe presence of ARGs in the lower airways microbiome was significantly higher in patients with sarcoidosis and IPF than in controls. The counts per million for ARGs were significantly associated with recent antibiotic use.

Indexed as

Anti-Bacterial AgentsDrug Resistance, MicrobialLung DiseasesMicrobiotaAgedAsthmaBronchoalveolar Lavage FluidBronchoscopyCase-Control StudiesCross-Sectional StudiesFemaleHumansIdiopathic Pulmonary FibrosisMaleMiddle AgedPulmonary Disease, Chronic ObstructiveAnti-Bacterial AgentsBacterial InfectionCOPD PathologyIdiopathic Pulmonary FibrosisMicrobiomeSarcoidosis

Identifiers

PMID41881444
PMCPMC13034347

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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.