Vijay R Ramakrishnan1, Leah J Hauser2, Leah M Feazel3, Diana Ir3, Charles E Robertson4, Daniel N Frank5. 1. Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, Colo. Electronic address: vijay.ramakrishnan@ucdenver.edu. 2. Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, Colo. 3. Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, Colo. 4. Microbiome Research Consortium, University of Colorado School of Medicine, Aurora, Colo; Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, Colo. 5. Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, Colo; Microbiome Research Consortium, University of Colorado School of Medicine, Aurora, Colo.
Abstract
BACKGROUND: Chronic rhinosinusitis (CRS) is a prevalent multifactorial disease process in which bacteria are believed to play a role in the propagation of inflammation. Multiple subtypes of CRS have been described based on clinical and pathologic features, but a detailed examination of the sinus microbiota in patients with CRS and its clinical subtypes has yet to be performed. OBJECTIVE: We sought to examine the resident microbiota of CRS subtypes and determine whether bacterial diversity is a predictor of disease outcomes. METHODS: Sinus swabs from patients with CRS and healthy subjects collected during endoscopic sinus surgery were analyzed by means of molecular phylogenetic analysis of 16S rDNA pyrosequences. RESULTS: Fifty-six patients with CRS and 26 control subjects were studied. Biodiversity was similar between the CRS and control groups. Among the CRS subtypes examined, only 2 conditions (presence of purulence and comorbid condition of asthma) were associated with significant alterations in microbial community composition. In 27 patients with CRS who were followed postoperatively, those with better outcomes had more diverse bacterial communities present at the time of surgery, along with higher relative abundances of Actinobacteria. CONCLUSION: Analysis of microbiota in a large cohort reveals that particular CRS phenotypes (asthma and purulence) are characterized by distinct compositions of resident bacterial communities. We found that bacterial diversity and composition are predictors of surgical outcome, promoting the concept of community ecology in patients with CRS.
BACKGROUND:Chronic rhinosinusitis (CRS) is a prevalent multifactorial disease process in which bacteria are believed to play a role in the propagation of inflammation. Multiple subtypes of CRS have been described based on clinical and pathologic features, but a detailed examination of the sinus microbiota in patients with CRS and its clinical subtypes has yet to be performed. OBJECTIVE: We sought to examine the resident microbiota of CRS subtypes and determine whether bacterial diversity is a predictor of disease outcomes. METHODS: Sinus swabs from patients with CRS and healthy subjects collected during endoscopic sinus surgery were analyzed by means of molecular phylogenetic analysis of 16S rDNA pyrosequences. RESULTS: Fifty-six patients with CRS and 26 control subjects were studied. Biodiversity was similar between the CRS and control groups. Among the CRS subtypes examined, only 2 conditions (presence of purulence and comorbid condition of asthma) were associated with significant alterations in microbial community composition. In 27 patients with CRS who were followed postoperatively, those with better outcomes had more diverse bacterial communities present at the time of surgery, along with higher relative abundances of Actinobacteria. CONCLUSION: Analysis of microbiota in a large cohort reveals that particular CRS phenotypes (asthma and purulence) are characterized by distinct compositions of resident bacterial communities. We found that bacterial diversity and composition are predictors of surgical outcome, promoting the concept of community ecology in patients with CRS.
Authors: Shogo Takahashi; Yuhuan Luo; Suman Ranjit; Cen Xie; Andrew E Libby; David J Orlicky; Alexander Dvornikov; Xiaoxin X Wang; Komuraiah Myakala; Bryce A Jones; Kanchan Bhasin; Dong Wang; James L McManaman; Kristopher W Krausz; Enrico Gratton; Diana Ir; Charles E Robertson; Daniel N Frank; Frank J Gonzalez; Moshe Levi Journal: J Biol Chem Date: 2020-02-19 Impact factor: 5.157
Authors: Vijay R Ramakrishnan; Sarah Gitomer; Jennifer M Kofonow; Charles E Robertson; Daniel N Frank Journal: Int Forum Allergy Rhinol Date: 2016-09-14 Impact factor: 3.858