4.7 Review

Association between Microbiota and Nasal Mucosal Diseases in terms of Immunity

Journal

Publisher

MDPI
DOI: 10.3390/ijms22094744

Keywords

microbiota; nasal mucosa; immunity; chronic rhinosinusitis; allergic rhinitis

Funding

  1. Basic Science Research Program
  2. National Research Foundation of Korea
  3. Ministry of Science, ICT & Future Planning [2017R1A2B2003575, NRF-2020R1A2C1006398]
  4. Korea Health Technology RD Project [HI17C0387]
  5. Korea Health Industry Development Institute (KHIDI)
  6. Ministry of Health Welfare
  7. Korea University grant
  8. Korea University Medical Center
  9. Anam Hospital, Seoul, Republic of Korea
  10. Ministry of Science and Technology
  11. Ministry of Science and ICT, Korea, under the ICT Creative Consilience program [2020R1C1C1012288, IITP2021-0-01819]
  12. National Research Foundation of Korea [2020R1C1C1012288] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The pathogenesis of nasal inflammatory diseases involves various factors such as anatomical structure, heredity, and environment, with nasal microbiota playing a key role in immune system functions and dysfunction impacting inflammation occurrence and development. Recent advancements in DNA sequencing, metabolomics, and proteomics combined with computational bioinformatics are aiding research in this area.
The pathogenesis of nasal inflammatory diseases is related to various factors such as anatomical structure, heredity, and environment. The nasal microbiota play a key role in coordinating immune system functions. Dysfunction of the microbiota has a significant impact on the occurrence and development of nasal inflammation. This review will introduce the positive and negative roles of microbiota involved in immunity surrounding nasal mucosal diseases such as chronic sinusitis and allergic rhinitis. In addition, we will also introduce recent developments in DNA sequencing, metabolomics, and proteomics combined with computation-based bioinformatics.

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