ArticleThe Journal of allergy and clinical immunology2021
Type 2-high asthma is associated with a specific indoor mycobiome and microbiome.
Article in The Journal of allergy and clinical immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled 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.
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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026Pooled it
- The respiratory microbiota alpha-diversity in chronic lung diseases: first systematic review and meta-analysis.Respiratory research · 2022Pooled it
- Classroom microbiome signatures of pest management associate with reduced asthma symptoms.The Journal of allergy and clinical immunology · 2026Article
- Inhaled Corticosteroids Influence Pulmonary Microbiota in Severe Equine Asthma.Animals : an open access journal from MDPI · 2026Article
- Unveiling microbial risks in Chinese household dust: a comprehensive analysis from absolute abundance to virulence unit.Microbiome · 2026Article
- Article
- MDPD reveals specific microbial signatures in human pulmonary diseases.Briefings in bioinformatics · 2026Article
- Crosstalk between the microbiome and the mucosal immunoglobulin A system in the lung, in health and disease.Frontiers in cellular and infection microbiology · 2026Review
- The gut-lung axis in childhood asthma: from early-life programming to microbiome-informed precision medicine-a narrative review.Frontiers in immunology · 2026Review
- The airway mycobiome in chronic respiratory diseases: current advances and future frontiers.Journal of translational medicine · 2025Review
- Linking the bed dust microbiome with environmental factors and child respiratory health.Annals of human biology · 2025Article
- Associations Between Indoor Fungal Community Structures and Environmental Factors: Insights from the Evidence-Driven Indoor Air-Quality Improvement Study.Journal of fungi (Basel, Switzerland) · 2025Article
- Early-Life Host-Microbial Interactions and Asthma Development: A Lifelong Impact?Immunological reviews · 2025Review
- More diverse school microbiota may provide better protection against respiratory infections for school staff.Building and environment · 2025Article
- Microbial landscape of Indian homes: the microbial diversity, pathogens and antimicrobial resistome in urban residential spaces.Environmental microbiome · 2025Article
- Yeasts Prefer Daycares and Molds Prefer Private Homes.Microbial ecology · 2025Article
- Fungal lung disease.The European respiratory journal · 2024Review
- Fractional exhaled nitric oxide distribution and its relevant factors in the general adult population and its healthy subpopulation.The journal of allergy and clinical immunology. Global · 2024Article
- Article
- Fungal Spore Richness and Abundance of Allergenic Taxa: Comparing a Portable Impactor and Passive Trap Indoors and Outdoors in an Urban Setting.Microbial ecology · 2024Article
Corrections and comments
- Commented on by
- Commented on byReply.2021
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe links between microbial environmental exposures and asthma are well documented, but no study has combined deep sequencing results from pulmonary and indoor microbiomes of patients with asthma with spirometry, clinical, and endotype parameters.
objectiveThe goal of this study was to investigate the links between indoor microbial exposures and pulmonary microbial communities and to document the role of microbial exposures on inflammatory and clinical outcomes of patients with severe asthma (SA).
methodsA total of 55 patients with SA from the national Cohort of Bronchial Obstruction and Asthma cohort were enrolled for analyzing their indoor microbial flora through the use of electrostatic dust collectors (EDCs). Among these patients, 22 were able to produce sputum during "stable" or pulmonary "exacerbation" periods and had complete pairs of EDC and sputum samples, both collected and analyzed. We used amplicon targeted metagenomics to compare microbial communities from EDC and sputum samples of patients according to type 2 (T2)-asthma endotypes.
resultsCompared with patients with T2-low SA, patients with T2-high SA exhibited an increase in bacterial α-diversity and a decrease in fungal α-diversity of their indoor microbial florae, the latter being significantly correlated with fraction of exhaled nitric oxide levels. The β-diversity of the EDC mycobiome clustered significantly according to T2 endotypes. Moreover, the proportion of fungal taxa in common between the sputum and EDC samples was significantly higher when patients exhibited acute exacerbation.
conclusionThese results illustrated, for the first time, a potential association between the indoor mycobiome and clinical features of patients with SA, which should renew interest in deciphering the interactions between indoor environment, fungi, and host in asthma.
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.