Comparison of Subtyping Approaches and the Underlying Drivers of Microbial Signatures for Chronic Rhinosinusitis.

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dc.contributor.author Biswas, Kristi en
dc.contributor.author Cavubati, Raewyn en
dc.contributor.author Gunaratna, Shan en
dc.contributor.author Hoggard, Michael en
dc.contributor.author Waldvogel-Thurlow, Sharon en
dc.contributor.author Hong, Jiwon en
dc.contributor.author Chang, Kevin en
dc.contributor.author Wagner, Brett en
dc.contributor.author Taylor, Michael en
dc.contributor.author Douglas, Richard en
dc.date.accessioned 2019-05-28T21:35:24Z en
dc.date.issued 2019-02-06 en
dc.identifier.citation mSphere 4(1) 06 Feb 2019 en
dc.identifier.issn 2379-5042 en
dc.identifier.uri http://hdl.handle.net/2292/46827 en
dc.description.abstract Chronic rhinosinusitis (CRS) is a heterogeneous condition characterized by persistent sinus inflammation and microbial dysbiosis. This study aimed to identify clinically relevant subgroups of CRS patients based on distinct microbial signatures, with a comparison to the commonly used phenotypic subgrouping approach. The underlying drivers of these distinct microbial clusters were also investigated, together with associations with epithelial barrier integrity. Sinus biopsy specimens were collected from CRS patients (n = 23) and disease controls (n = 8). The expression of 42 tight junction genes was evaluated using quantitative PCR together with microbiota analysis and immunohistochemistry for measuring mucosal integrity and inflammation. CRS patients clustered into two distinct microbial subgroups using probabilistic modelling Dirichlet (DC) multinomial mixtures. DC1 exhibited significantly reduced bacterial diversity and increased dispersion and was dominated by Pseudomonas, Haemophilus, and Achromobacter DC2 had significantly elevated B cells and incidences of nasal polyps and higher numbers of Anaerococcus, Megasphaera, Prevotella, Atopobium, and Propionibacterium In addition, each DC exhibited distinct tight junction gene and protein expression profiles compared with those of controls. Stratifying CRS patients based on clinical phenotypic subtypes (absence or presence of nasal polyps [CRSsNP or CRSwNP, respectively] or with cystic fibrosis [CRSwCF]) accounted for a larger proportion of the variation in the microbial data set than with DC groupings. However, no significant differences between CRSsNP and CRSwNP cohorts were observed for inflammatory markers, beta-dispersion, and alpha-diversity measures. In conclusion, both approaches used for stratifying CRS patients had benefits and pitfalls, but DC clustering provided greater resolution when studying tight junction impairment. Future studies in CRS should give careful consideration to the patient subtyping approach used.IMPORTANCE Chronic rhinosinusitis (CRS) is a major human health problem that significantly reduces quality of life. While various microbes have been implicated, there is no clear understanding of the role they play in CRS pathogenesis. Another equally important observation made for CRS patients is that the epithelial barrier in the sinonasal cavity is defective. Finding a robust approach to subtype CRS patients would be the first step toward unravelling the pathogenesis of this heterogeneous condition. Previous work has explored stratification based on the clinical presentation of the disease (with or without polyps), inflammatory markers, pathology, or microbial composition. Comparisons between the different stratification approaches used in these studies have not been possible due to the different cohorts, analytical methods, or sample sites used. In this study, two approaches for subtyping CRS patients were compared, and the underlying drivers of the heterogeneity in CRS were also explored. en
dc.format.medium Electronic en
dc.language eng en
dc.relation.ispartofseries mSphere en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Paranasal Sinuses en
dc.subject Mucous Membrane en
dc.subject Tight Junctions en
dc.subject Humans en
dc.subject Bacteria en
dc.subject Sinusitis en
dc.subject Nasal Polyps en
dc.subject Chronic Disease en
dc.subject Inflammation en
dc.subject Biopsy en
dc.subject Adult en
dc.subject Microbiota en
dc.title Comparison of Subtyping Approaches and the Underlying Drivers of Microbial Signatures for Chronic Rhinosinusitis. en
dc.type Journal Article en
dc.identifier.doi 10.1128/msphere.00679-18 en
pubs.issue 1 en
pubs.volume 4 en
dc.rights.holder Copyright: The authors en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.elements-id 763965 en
pubs.org-id Medical and Health Sciences en
pubs.org-id School of Medicine en
pubs.org-id Surgery Department en
pubs.org-id Science en
pubs.org-id Biological Sciences en
dc.identifier.eissn 2379-5042 en
pubs.record-created-at-source-date 2019-02-08 en
pubs.dimensions-id 30728283 en


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