<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jabeen MF</submitter><funding>NIHR Oxford Biomedical Research Centre</funding><funding>Medical Research Council</funding><funding>Wellcome Trust</funding><funding>National Institute for Health Research Southampton Biomedical Research Centre</funding><funding>NIHR Primary Care Research Network</funding><pagination>2966-2980</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7617782</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>79(11)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The airway microbiome in severe asthma has not been characterised at species-level by metagenomic sequencing, nor have the relationships between specific species and mucosal immune responses in 'type-2 low', neutrophilic asthma been defined. We performed an integrated species-level metagenomic data with inflammatory mediators to characterise prevalence of dominant potentially pathogenic organisms and host immune responses.&lt;h4>Methods&lt;/h4>Sputum and nasal lavage samples were analysed using long-read metagenomic sequencing with Nanopore and qPCR in two cross-sectional adult severe asthma cohorts, Wessex (n = 66) and Oxford (n = 30). We integrated species-level data with clinical parameters and 39 selected airway proteins measured by immunoassay and O-link.&lt;h4>Results&lt;/h4>T</pubmed_abstract><journal>Allergy</journal><pubmed_title>Species-level, metagenomic and proteomic analysis of microbe-immune interactions in severe asthma.</pubmed_title><pmcid>PMC7617782</pmcid><funding_grant_id>211050/Z/18/z</funding_grant_id><funding_grant_id>211050</funding_grant_id><pubmed_authors>Donachie G</pubmed_authors><pubmed_authors>Sanderson ND</pubmed_authors><pubmed_authors>Marchi E</pubmed_authors><pubmed_authors>Street TL</pubmed_authors><pubmed_authors>Tine M</pubmed_authors><pubmed_authors>Azim A</pubmed_authors><pubmed_authors>Pavord ID</pubmed_authors><pubmed_authors>Jabeen MF</pubmed_authors><pubmed_authors>Chauhan A</pubmed_authors><pubmed_authors>Lau LCK</pubmed_authors><pubmed_authors>Howarth PH</pubmed_authors><pubmed_authors>Barber C</pubmed_authors><pubmed_authors>Hinks TSC</pubmed_authors><pubmed_authors>Klenerman P</pubmed_authors><pubmed_authors>Brown T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Species-level, metagenomic and proteomic analysis of microbe-immune interactions in severe asthma.</name><description>&lt;h4>Background&lt;/h4>The airway microbiome in severe asthma has not been characterised at species-level by metagenomic sequencing, nor have the relationships between specific species and mucosal immune responses in 'type-2 low', neutrophilic asthma been defined. We performed an integrated species-level metagenomic data with inflammatory mediators to characterise prevalence of dominant potentially pathogenic organisms and host immune responses.&lt;h4>Methods&lt;/h4>Sputum and nasal lavage samples were analysed using long-read metagenomic sequencing with Nanopore and qPCR in two cross-sectional adult severe asthma cohorts, Wessex (n = 66) and Oxford (n = 30). We integrated species-level data with clinical parameters and 39 selected airway proteins measured by immunoassay and O-link.&lt;h4>Results&lt;/h4>T</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2025-07-25T03:08:19.371Z</modification><creation>2025-07-25T03:08:19.371Z</creation></dates><accession>S-EPMC7617782</accession><cross_references><pubmed>39127908</pubmed><doi>10.1111/all.16269</doi></cross_references></HashMap>