ReviewFEMS microbiology ecology2026
The respiratory microbiome: dynamics from health to disease.
Review in FEMS microbiology ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Comparative Lung Bacterial Community Profiles in Pneumonic and Non-Pneumonic Akkaraman Lambs.Animals : an open access journal from MDPI · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Research on the respiratory microbiome has moved beyond the sterile-lung paradigm, but disease-associated microbial patterns are still often described as static signatures. In this mini-review, we synthesize current evidence within a dynamic state-transition framework in which respiratory microbial communities are shaped by microbial immigration, elimination, local growth conditions, and host inflammatory tone. This framework traces the respiratory microbiome from early-life assembly and homeostatic maintenance to perturbation, recovery, or persistence in alternative ecological states. We discuss how barrier integrity, mucociliary clearance, mucus and nutrient landscapes, inflammatory feedback, microbial metabolites, and the gut-lung axis regulate microbial stability and disease susceptibility. Across asthma, chronic obstructive pulmonary disease, cystic fibrosis, bronchiectasis, and respiratory infection, dysbiosis is interpreted not as a set of disease-specific taxa, but as a context-dependent outcome of shared ecological mechanisms. We also highlight methodological and translational priorities, including contamination control in low-biomass samples, longitudinal sampling, multi-omics integration, spatial host profiling, and cautious interpretation of association versus causality. Viewing the respiratory microbiome as an ecological system in motion may better connect microbial dynamics with disease heterogeneity, risk stratification, and future microbiome-directed interventions.
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.