ArticleMicrobiology spectrum2022
Identifying Bacterial Airways Infection in Stable Severe Asthma Using Oxford Nanopore Sequencing Technologies.
Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Comparative Meta-Analysis of Long-Read and Short-Read Sequencing for Metagenomic Profiling of the Lower Respiratory Tract Infections.Microorganisms · 2025Review
- Comprehensive human respiratory genome catalogue underlies the high resolution and precision of the respiratory microbiome.Briefings in bioinformatics · 2024Article
- Species-level, metagenomic and proteomic analysis of microbe-immune interactions in severe asthma.Allergy · 2024Article
- Endotypes of severe neutrophilic and eosinophilic asthma from multi-omics integration of U-BIOPRED sputum samples.Clinical and translational medicine · 2024Article
- Extracellular Vesicles (EVs) as Crucial Mediators of Cell-Cell Interaction in Asthma.International journal of molecular sciences · 2023Review
- Application of nanopore adaptive sequencing in pathogen detection of a patient withFrontiers in cellular and infection microbiology · 2023Article
- MAIT cells and the microbiome.Frontiers in immunology · 2023Review
- Non-typeableEuropean respiratory review : an official journal of the European Respiratory Society · 2022Review
- [Consensus document for Severe Asthma. 2025 Update].Open respiratory archivesArticle
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
Previous metagenomic studies in asthma have been limited by inadequate sequencing depth for species-level bacterial identification and by heterogeneity in clinical phenotyping. We hypothesize that chronic bacterial airways infection is a key "treatable trait" whose prevalence, clinical phenotype and reliable biomarkers need definition. In this study, we have applied a method for Oxford Nanopore sequencing for the unbiased metagenomic characterization of severe asthma. We optimized methods to compare performance of Illumina MiSeq, Nanopore sequencing, and RT-qPCR on total sputum DNA extracts against culture/MALDI-TOF for analysis of induced sputum samples from highly phenotyped severe asthma during clinical stability. In participants with severe asthma (
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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.