Journal
INTERNATIONAL FORUM OF ALLERGY & RHINOLOGY
Volume 3, Issue 10, Pages -Publisher
WILEY
DOI: 10.1002/alr.21195
Keywords
Microbiology; chronic rhinosinusitis; Sinusitis; eosinophilic rhinitis; nasal polyposis; maximum medical therapy; microbiota; microbiome; 16S rRNA gene
Categories
Funding
- National Institutes of Health NIDCR/NIAID [1R15DE021194-01]
- Translational Genomics Research Institute Sylvia Chase Postdoctoral Fellow Grant
- Northern Arizona University Technology and Research Initiative Fund (TRIF) fund
- Cowden Endowment in Microbiology
Ask authors/readers for more resources
Background: Chronic rhinosinusitis (CRS) is a highly prevalent and heterogeneous condition frequently treated with antibiotics and corticosteroid therapy. However, the effect of medical therapy on sinus microbiota remains unknown. Methods: We enrolled CRS patients (n = 6) with patent maxillary antrostomies and active mucosal inflammation, who had not received antibiotics or corticosteroids in the previous 8 weeks. A pretreatment and posttreatment maxillary sinus swab was collected, from which DNA was extracted, pyrosequenced, and analyzed using a naive Bayesian classifier and ecological analyses. Results: Four patients showed significant improvement in endoscopic appearance. The shiftts in microbiota in response to therapy were highly individualized. There was no single common microbiota profile among patients with similar clinical outcomes, but overall there was significant decrease in microbiota diversity (t(5) = 2.05, p = 0.10) and evenness (t(5) = 2.28, p = 0.07) after treatment. Conclusion: Our findings strongly correlate with earlier studies that examined the impact of antibiotics on human microbiota. We observed that posttreatment, patients frequently became colonized by taxa that are less susceptible to the prescribed antibiotics. Our findings highlight the challenge in seeking generalizable diagnostic and therapeutic options in CRS, particularly regarding microbiological response and outcomes. (C) 2013 ARS-AAOA, LLC.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available