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Locational effects on oral microbiota among long-term care patients

BACKGROUND: Dysbiosis of oral microbiota is the cause of many diseases related to oral and general health. However, few Asia-based studies have evaluated the role of oral microbiota in patients receiving long-term care. Thus, new indications are needed for early prevention and risk management based...

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Detalles Bibliográficos
Autores principales: Tsai, Fa-Tzu, Wang, Ding-Han, Yang, Cheng-Chieh, Lin, Yu-Cheng, Huang, Lin-Jack, Tsai, Wei-Yu, Li, Chang-Wei, Hsu, Wun-Eng, Tu, Hsi-Feng, Hsu, Ming-Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856053/
https://www.ncbi.nlm.nih.gov/pubmed/35186212
http://dx.doi.org/10.1080/20002297.2022.2033003
Descripción
Sumario:BACKGROUND: Dysbiosis of oral microbiota is the cause of many diseases related to oral and general health. However, few Asia-based studies have evaluated the role of oral microbiota in patients receiving long-term care. Thus, new indications are needed for early prevention and risk management based on information derived from the oral microbiota. METHODS: We used next-generation sequencing (NGS) to identify the oral bacterial composition and abundance in patients receiving long-term care: 20 from the outpatient department (OPD) and 20 home-care patients. Their microbial compositions, taxonomy, and alpha/beta diversity were characterized. RESULTS: Microbiota from the two groups showed different diversity and homogeneity, as well as distinct bacterial species. A more diverse and stable microbial population was observed among OPD patients. Our findings indicated that home-care patients had a higher risk of oral diseases due to the existence of dominant species and a less stable microbial community. CONCLUSION: This work was the first in Taiwan to use NGS to investigate the oral microbiota of long-term care patients. Our study demonstrated the potential use of dominant bacterial species as biomarkers for the risk management of posttreatment complications.