{"title":"慢性鼻炎微生物群的变异性:范围综述。","authors":"Fabricio Ccami-Bernal, Fernanda Barriga-Chambi, Zhamanda N Ortiz-Benique, Evelyne Ferrary, Renato Torres","doi":"10.1002/oto2.70029","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Chronic rhinosinusitis (CRS) is characterized by a persistent inflammation of the nasal and paranasal sinus mucosa that could be potentially linked to a dysregulation between the microbiota and the immune system. We aim to explore general, methodological, and microbiological aspects of microbiota research in CRS compared to disease-free individuals.</p><p><strong>Data sources: </strong>Embase, Ovid MEDLINE, PubMed, Scopus, and Web of Science.</p><p><strong>Review methods: </strong>All studies comparing the composition of the resident microbiota of the sinonasal cavities in 2 groups: CRS and normal participants. We conducted systematic study selection, data extraction, and analysis first using the title and abstract, and then the full texts based on predefined inclusion and exclusion criteria. Compiled and presented findings include sampling site and technique, and microbiological results such as the relative abundance and the variability of the composition of the microbiota in both groups.</p><p><strong>Results: </strong>Twenty-seven studies, using genomic identification with 16s RNA were analyzed. Case definitions primarily followed EPOS or AAO-HNS guidelines, with endoscopic swabs (82%), and middle meatus sampling (74%) being prevalent techniques. Despite relative abundance variability, patterns emerged across studies, indicating an increase in <i>Haemophilus</i> (19%) and <i>Pseudomonas</i> (11%), and decrease in <i>Propionibacterium</i> (15%) and <i>Anaerococcus</i> (11%). Another pattern was observed, showing a decreased alpha diversity (6/19; 22%) in CRS compared to normal individuals.</p><p><strong>Conclusion: </strong>While variations exist among studies, analysis of CRS microbiota suggests an association with dysbiosis, potentially contributing to chronic inflammation. Future research must prioritize standardized criteria for diagnostics and patient selection, fostering a more comprehensive understanding of CRS microbiota.</p>","PeriodicalId":19697,"journal":{"name":"OTO Open","volume":"8 4","pages":"e70029"},"PeriodicalIF":1.8000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460754/pdf/","citationCount":"0","resultStr":"{\"title\":\"Variability of the Microbiota in Chronic Rhinosinusitis: A Scoping Review.\",\"authors\":\"Fabricio Ccami-Bernal, Fernanda Barriga-Chambi, Zhamanda N Ortiz-Benique, Evelyne Ferrary, Renato Torres\",\"doi\":\"10.1002/oto2.70029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Chronic rhinosinusitis (CRS) is characterized by a persistent inflammation of the nasal and paranasal sinus mucosa that could be potentially linked to a dysregulation between the microbiota and the immune system. We aim to explore general, methodological, and microbiological aspects of microbiota research in CRS compared to disease-free individuals.</p><p><strong>Data sources: </strong>Embase, Ovid MEDLINE, PubMed, Scopus, and Web of Science.</p><p><strong>Review methods: </strong>All studies comparing the composition of the resident microbiota of the sinonasal cavities in 2 groups: CRS and normal participants. We conducted systematic study selection, data extraction, and analysis first using the title and abstract, and then the full texts based on predefined inclusion and exclusion criteria. Compiled and presented findings include sampling site and technique, and microbiological results such as the relative abundance and the variability of the composition of the microbiota in both groups.</p><p><strong>Results: </strong>Twenty-seven studies, using genomic identification with 16s RNA were analyzed. Case definitions primarily followed EPOS or AAO-HNS guidelines, with endoscopic swabs (82%), and middle meatus sampling (74%) being prevalent techniques. Despite relative abundance variability, patterns emerged across studies, indicating an increase in <i>Haemophilus</i> (19%) and <i>Pseudomonas</i> (11%), and decrease in <i>Propionibacterium</i> (15%) and <i>Anaerococcus</i> (11%). Another pattern was observed, showing a decreased alpha diversity (6/19; 22%) in CRS compared to normal individuals.</p><p><strong>Conclusion: </strong>While variations exist among studies, analysis of CRS microbiota suggests an association with dysbiosis, potentially contributing to chronic inflammation. Future research must prioritize standardized criteria for diagnostics and patient selection, fostering a more comprehensive understanding of CRS microbiota.</p>\",\"PeriodicalId\":19697,\"journal\":{\"name\":\"OTO Open\",\"volume\":\"8 4\",\"pages\":\"e70029\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460754/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OTO Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/oto2.70029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"OTORHINOLARYNGOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OTO Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/oto2.70029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"OTORHINOLARYNGOLOGY","Score":null,"Total":0}
Variability of the Microbiota in Chronic Rhinosinusitis: A Scoping Review.
Objective: Chronic rhinosinusitis (CRS) is characterized by a persistent inflammation of the nasal and paranasal sinus mucosa that could be potentially linked to a dysregulation between the microbiota and the immune system. We aim to explore general, methodological, and microbiological aspects of microbiota research in CRS compared to disease-free individuals.
Data sources: Embase, Ovid MEDLINE, PubMed, Scopus, and Web of Science.
Review methods: All studies comparing the composition of the resident microbiota of the sinonasal cavities in 2 groups: CRS and normal participants. We conducted systematic study selection, data extraction, and analysis first using the title and abstract, and then the full texts based on predefined inclusion and exclusion criteria. Compiled and presented findings include sampling site and technique, and microbiological results such as the relative abundance and the variability of the composition of the microbiota in both groups.
Results: Twenty-seven studies, using genomic identification with 16s RNA were analyzed. Case definitions primarily followed EPOS or AAO-HNS guidelines, with endoscopic swabs (82%), and middle meatus sampling (74%) being prevalent techniques. Despite relative abundance variability, patterns emerged across studies, indicating an increase in Haemophilus (19%) and Pseudomonas (11%), and decrease in Propionibacterium (15%) and Anaerococcus (11%). Another pattern was observed, showing a decreased alpha diversity (6/19; 22%) in CRS compared to normal individuals.
Conclusion: While variations exist among studies, analysis of CRS microbiota suggests an association with dysbiosis, potentially contributing to chronic inflammation. Future research must prioritize standardized criteria for diagnostics and patient selection, fostering a more comprehensive understanding of CRS microbiota.