ArticleTuberculosis and respiratory diseases2016
Lung Microbiome Analysis in Steroid-Naїve Asthma Patients by Using Whole Sputum.
Article in Tuberculosis and respiratory diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The respiratory microbiota alpha-diversity in chronic lung diseases: first systematic review and meta-analysis.Respiratory research · 2022Pooled it
- The Effects of Corticosteroids on the Respiratory Microbiome: A Systematic Review.Frontiers in medicine · 2021Pooled it
- An update on novel taxa and revised taxonomic status of bacteria isolated from human clinical specimens described in 2024.Journal of clinical microbiology · 2025Review
- A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.BMC medical informatics and decision making · 2025Article
- Molecular Accounting and Profiling of Human Respiratory Microbial Communities: Toward Precision Medicine by Targeting the Respiratory Microbiome for Disease Diagnosis and Treatment.International journal of molecular sciences · 2023Review
- Peripheral blood transcriptomic clusters uncovered immune phenotypes of asthma.Respiratory research · 2022Article
- Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.Journal of personalized medicine · 2021Review
- Respiratory Microbiota Profiles Associated With the Progression From Airway Inflammation to Remodeling in Mice With OVA-Induced Asthma.Frontiers in microbiology · 2021Article
- Article
- Microbiota and IPF: hidden and detected relationships.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2021Article
- Sex effects in the association between airway microbiome and asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2020Article
- WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network.BMC bioinformatics · 2019Article
- The crosstalk between microbiome and asthma: Exploring associations and challenges.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019Review
- A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations.Frontiers in genetics · 2019Article
- RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction.Frontiers in microbiology · 2019Article
- Human Microbe-Disease Association Prediction Based on Adaptive Boosting.Frontiers in microbiology · 2018Article
- PRWHMDA: Human Microbe-Disease Association Prediction by Random Walk on the Heterogeneous Network with PSO.International journal of biological sciences · 2018Article
- Paradigms of Lung Microbiota Functions in Health and Disease, Particularly, in Asthma.Frontiers in physiology · 2018Review
- A new assay based on terminal restriction fragment length polymorphism of homocitrate synthase gene fragments for Candida species identification.Journal of applied genetics · 2017Article
- A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network.PloS one · 2017Article
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10 authors.
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Abstract
backgroundAlthough recent metagenomic approaches have characterized the distinguished microbial compositions in airways of asthmatics, these results did not reach a consensus due to the small sample size, non-standardization of specimens and medication status. We conducted a metagenomics approach by using terminal restriction fragment length polymorphism (T-RFLP) analysis of the induced whole sputum representing both the cellular and fluid phases in a relative large number of steroid naïve asthmatics.
methodsInduced whole sputum samples obtained from 36 healthy subjects and 89 steroid-naїve asthma patients were analyzed through T-RFLP analysis.
resultsIn contrast to previous reports about microbiota in the asthmatic airways, the diversity of microbial composition was not significantly different between the controls and asthma patients (p=0.937). In an analysis of similarities, the global R-value showed a statistically significant difference but a very low separation (0.148, p=0.002). The dissimilarity in the bacterial communities between groups was 28.74%, and operational taxonomic units (OTUs) contributing to this difference were as follows: OTU 789 (Lachnospiraceae), 517 (Comamonadaceae, Acetobacteraceae , and Chloroplast), 633 (Prevotella), 645 (Actinobacteria and Propionibacterium acnes), 607 (Lactobacillus buchneri, Lactobacillus otakiensis, Lactobacillus sunkii, and Rhodobacteraceae), and 661 (Acinetobacter, Pseudomonas, and Leptotrichiaceae), and they were significantly more prevalent in the sputum of asthma patients than in the sputum of the controls.
conclusionBefore starting anti-asthmatic treatment, the microbiota in the whole sputum of patients with asthma showed a marginal difference from the microbiota in the whole sputum of the controls.
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