ArticleScientific reports2025
Metagenomic whole genome shotgun analysis of the airway microbiome in laryngotracheal stenosis: a pilot study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The airway microbiome has been implicated in the pathogenesis of laryngotracheal stenosis (LTS), yet prior studies using 16 S rRNA sequencing have limited sub-genus level resolution. Metagenomic whole genome shotgun sequencing (mWGS) allows for strain-level taxonomic and functional genomic analysis, providing detailed insights into specific organisms and pathways. A pilot study was conducted to explore the advantages and challenges of mWGS in investigating the airway metagenome in LTS. mWGS was conducted on 12 intraoperative swab samples from 8 LTS patients, divided into tracheostomy-dependent (n = 3) and non-tracheostomy (n = 5) groups, and 4 controls. Patient comorbidities, antibiotic use, and medications were documented. Biobakery workflows were used for taxonomic and functional profiling. Species-specific reference databases were constructed for 6 abundant species for strain-level analyses. LTS samples had decreased taxonomic diversity and were dominated by species with previously described roles in other chronic inflammatory processes such as Staphylococcus aureus, Streptococcus parasanguinis, Streptococcus mitis, and Corynebacterium pseudogenitalium. LTS samples were enriched for pathways involved in fatty acid biosynthesis and formaldehyde metabolism. Our results identified tracheostomy as an important potential confounder in airway metagenomics but show mWGS techniques are promising in uncovering microbiota correlates in LTS that could reveal disease-specific biomarkers, comorbidity links, and therapeutic targets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.