| Literature DB >> 32167574 |
Sathish Paramasivan1, Ahmed Bassiouni1, Arron Shiffer2, Matthew R Dillon2, Emily K Cope2, Clare Cooksley1, Mahnaz Ramezanpour1, Sophia Moraitis1, Mohammad Javed Ali3, Benjamin Bleier4, Claudio Callejas5, Marjolein E Cornet6, Richard G Douglas7, Daniel Dutra8, Christos Georgalas6, Richard J Harvey9,10, Peter H Hwang11, Amber U Luong12, Rodney J Schlosser13, Pongsakorn Tantilipikorn14, Marc A Tewfik15, Sarah Vreugde1, Peter-John Wormald1, J Gregory Caporaso2, Alkis J Psaltis1.
Abstract
The sinonasal microbiome remains poorly defined, with our current knowledge based on a few cohort studies whose findings are inconsistent. Furthermore, the variability of the sinus microbiome across geographical divides remains unexplored. We characterize the sinonasal microbiome and its geographical variations in both health and disease using 16S rRNA gene sequencing of 410 individuals from across the world. Although the sinus microbial ecology is highly variable between individuals, we identify a core microbiome comprised of Corynebacterium, Staphylococcus, Streptococcus, Haemophilus and Moraxella species in both healthy and chronic rhinosinusitis (CRS) cohorts. Corynebacterium (mean relative abundance = 44.02%) and Staphylococcus (mean relative abundance = 27.34%) appear particularly dominant in the majority of patients sampled. Amongst patients suffering from CRS with nasal polyps, a statistically significant reduction in relative abundance of Corynebacterium (40.29% vs 50.43%; P = .02) was identified. Despite some measured differences in microbiome composition and diversity between some of the participating centres in our cohort, these differences would not alter the general pattern of core organisms described. Nevertheless, atypical or unusual organisms reported in short-read amplicon sequencing studies and that are not part of the core microbiome should be interpreted with caution. The delineation of the sinonasal microbiome and standardized methodology described within our study will enable further characterization and translational application of the sinus microbiota.Entities:
Keywords: 16S rRNA gene; chronic rhinosinusitis; microbiome; next-generation sequencing; sinus
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Year: 2020 PMID: 32167574 DOI: 10.1111/all.14276
Source DB: PubMed Journal: Allergy ISSN: 0105-4538 Impact factor: 13.146