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Identification of microbial contaminants in sinus rinse squeeze bottles used by allergic rhinitis patients.

ABSTRACT: Objective:To identify whether irrigation devices become contaminated when used by patients with allergic rhinitis (AR). Methods:Ten AR patients with no clinical or endoscopic evidence of active sinonasal infection were given a sinus rinse system and instructed on its proper use, cleaning, and storage. Two squeeze bottles (bottle A and bottle B) were given to each patient for twice-a-day rinsing. Bottle A was used in the morning and analyzed after four weeks. Bottle B was used in the evening and analyzed after 8 weeks of use. Microbial contaminants were cultured from the nose pieces and the inner surface of the bottles obtained from patients. Results:Seventeen sinus rinse devices (17/20) from all individuals in this study grew bacteria commonly in the nozzles. Twenty-four bacterial isolates consisting of 14 different species were cultured and identified with most common organisms being bacilli and staphylococcus. In addition, no correlation was apparent between the length of bottle use and the degree of contamination (r = 0.13, p = 0.76). During the study period, no patient developed acute sinus infections. Conclusion:Microbial contamination of the sinus rinse system occurs commonly, even in uninfected AR patients; however no evidence exists linking this to clinically relevant sinus infections. Trial Registration:clinicaltrials.gov Identifier: NCT01030146.

SUBMITTER: Nguyen SA

PROVIDER: S-EPMC6364664 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Identification of microbial contaminants in sinus rinse squeeze bottles used by allergic rhinitis patients.

Nguyen Shaun A SA Camilon Marc P MP Schlosser Rodney J RJ

World journal of otorhinolaryngology - head and neck surgery 20190105 1

<h4>Objective</h4>To identify whether irrigation devices become contaminated when used by patients with allergic rhinitis (AR).<h4>Methods</h4>Ten AR patients with no clinical or endoscopic evidence of active sinonasal infection were given a sinus rinse system and instructed on its proper use, cleaning, and storage. Two squeeze bottles (bottle A and bottle B) were given to each patient for twice-a-day rinsing. Bottle A was used in the morning and analyzed after four weeks. Bottle B was used in t ...[more]

PMID: 30775698

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Project description:IntroductionAlthough recent studies have shown that the human microbiome is involved in the pathogenesis of allergic diseases, the impact of microbiota on allergic rhinitis (AR) and non-allergic rhinitis (nAR) has not been elucidated. The aim of this study was to investigate the differences in the composition of the nasal flora in patients with AR and nAR and their role in the pathogenesis.MethodFrom February to September 2022, 35 AR patients and 35 nAR patients admitted to Harbin Medical University's Second Affiliated Hospital, as well as 20 healthy subjects who underwent physical examination during the same period, were subjected to 16SrDNA and metagenomic sequencing of nasal flora.ResultsThe microbiota composition of the three groups of study subjects differs significantly. The relative abundance of Vibrio vulnificus and Acinetobacter baumanni in the nasal cavity of AR patients was significantly higher when compared to nAR patients, while the relative abundance of Lactobacillus murinus, Lactobacillus iners, Proteobacteria, Pseudomonadales, and Escherichia coli was lower. In addition, Lactobacillus murinus and Lacttobacillus kunkeei were also negatively correlated with IgE, while Lacttobacillus kunkeei was positively correlated with age. The relative distribution of Faecalibacterium was higher in moderate than in severe AR patients. According to KEGG functional enrichment annotation, ICMT(protein-S-isoprenylcysteine O-methyltransferase,ICMT) is an AR microbiota-specific enzyme that plays a role, while glycan biosynthesis and metabolism are more active in AR microbiota. For AR, the model containing Parabacteroides goldstemii, Sutterella-SP-6FBBBBH3, Pseudoalteromonas luteoviolacea, Lachnospiraceae bacterium-615, and Bacteroides coprocola had the highest the area under the curve (AUC), which was 0.9733(95%CI:0.926-1.000) in the constructed random forest prediction model. The largest AUC for nAR is 0.984(95%CI:0.949-1.000) for the model containing Pseudomonas-SP-LTJR-52, Lachnospiraceae bacterium-615, Prevotella corporis, Anaerococcus vaginalis, and Roseburia inulinivorans.ConclusionIn conclusion, patients with AR and nAR had significantly different microbiota profiles compared to healthy controls. The results suggest that the nasal microbiota may play a key role in the pathogenesis and symptoms of AR and nAR, providing us with new ideas for the treatment of AR and nAR.

Project description:BackgroundStudies have shown that the lipid metabolism mediator leukotriene and prostaglandins are associated with the pathogenesis of allergic rhinitis (AR). The aim of this study was to identify key lipid metabolism-related genes (LMRGs) related to the diagnosis and treatment of AR.Materials and methodsAR-related expression datasets (GSE75011, GSE46171) were downloaded through the Gene Expression Omnibus (GEO) database. First, weighted gene co-expression network analysis (WGCNA) was used to get AR-related genes (ARRGs). Next, between control and AR groups in GSE75011, differentially expressed genes (DEGs) were screened, and DEGs were intersected with LMRGs to obtain lipid metabolism-related differentially expressed genes (LMR DEGs). Protein-protein interaction (PPI) networks were constructed for these LMR DEGs. Hub genes were then identified through stress, radiality, closeness and edge percolated component (EPC) analysis and intersected with the ARRGs to obtain candidate genes. Biomarkers with diagnostic value were screened via receiver operating characteristic (ROC) curves. Differential immune cells screened between control and AR groups were then assessed for correlation with the diagnostic genes, and clinical correlation analysis and enrichment analysis were performed. Finally, real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) was made on blood samples from control and AR patients to validate these identified diagnostic genes.Results73 LMR DEGs were obtained, which were involved in biological processes such as metabolism of lipids and lipid biosynthetic processes. 66 ARRGs and 22 hub genes were intersected to obtain four candidate genes. Three diagnostic genes (LPCAT1, SGPP1, SMARCD3) with diagnostic value were screened according to the AUC > 0.7, with markedly variant between control and AR groups. In addition, two immune cells, regulatory T cells (Treg) and T follicular helper cells (TFH), were marked variations between control and AR groups, and SMARCD3 was significantly associated with TFH. Moreover, SMARCD3 was relevant to immune-related pathways, and correlated significantly with clinical characteristics (age and sex). Finally, RT-qPCR results indicated that changes in the expression of LPCAT1 and SMARCD3 between control and AR groups were consistent with the GSE75011 and GSE46171.ConclusionLPCAT1, SGPP1 and SMARCD3 might be used as biomarkers for AR.

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Identification of microbial contaminants in sinus rinse squeeze bottles used by allergic rhinitis patients.

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Identification of microbial contaminants in sinus rinse squeeze bottles used by allergic rhinitis patients.

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