Article ; Online: Analysing sinonasal microbiota of fungal rhinosinusitis by next-generation sequencing.
2022 Volume 48, Issue 2, Page(s) 313–320
Abstract: Objectives: Fungal rhinosinusitis is an inflammatory disease of the nose that may lead to life-threatening complications. This study compared the bacterial and fungal microbiomes between patients with invasive fungal rhinosinusitis (IFRS) and non-IFRS ( ... ...
Abstract | Objectives: Fungal rhinosinusitis is an inflammatory disease of the nose that may lead to life-threatening complications. This study compared the bacterial and fungal microbiomes between patients with invasive fungal rhinosinusitis (IFRS) and non-IFRS (NIFRS). Design: This was a prospective study including 18 IFRS and NIFRS patients. Fungal and bacterial microbiomes from surgical specimens were sequenced from amplicons of the internal transcribed spacer 1 (ITS1) region and the V3-V4 region of the 16S locus, respectively. Microbiomes were generated using the Illumina MiSeq System 2 x 301 base pair chemistry with a paired-end protocol. Setting: Tertiary medical centre. Results: Targeted metagenomics identified Aspergillus spp. as the predominant fungus in both IFRS and NIFRS patients. Based on phylum and genera level diversity, and abundance differences, significant differences of operational taxonomic units (OTUs) (Fusobacterium, Prevotella, Pseudomonas, Neisseria and Streptococcus) were more abundant in NIFRS compared with IFRS patients. Conclusions: This is the first study to analyse bacterial and fungal microbiomes in patients with IFRS and NIFRS via ITS1 and 16S genomics sequencing. Bacterial microbiomes from patients with IFRS demonstrated dysbiosis (alterations in diversity and abundance) compared to those from patients with NIFRS. |
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MeSH term(s) | Humans ; Prospective Studies ; Microbiota/genetics ; Bacteria/genetics ; Streptococcus ; High-Throughput Nucleotide Sequencing/methods |
Language | English |
Publishing date | 2022-09-30 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2205891-6 |
ISSN | 1749-4486 ; 1749-4478 ; 0307-7772 ; 1365-2273 |
ISSN (online) | 1749-4486 |
ISSN | 1749-4478 ; 0307-7772 ; 1365-2273 |
DOI | 10.1111/coa.13980 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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