Relationship of Salivary Microbiome with the Worsening of the Periodontal Health Status in Young Adults: A 3-Year Cohort Study

• Islam, Md Monirul

• Ekuni, Daisuke

• Toyama, Naoki

• Kobayashi, Terumasa

• Fujimori, Kohei

• Uchida, Yoko

• Fukuhara, Daiki

• Taniguchi-Tabata, Ayano

• Kataoka, Kota

• Iwasaki, Yoshiaki

• Morita, Manabu

抄録

The purpose of this prospective cohort study was to investigate the influence of the salivary microbiome on the worsening of the periodontal health status among Japanese young adults. We assessed the data of systemically healthy and non-smoking young (18-22 years) university students (n = 457) from Okayama University at baseline (2013) and follow-up (2016). The worsening group was defined based on an increase in the percentage of bleeding on probing (%BOP) or an increase in probing pocket depth (PPD) from <4 mm to >= 4 mm. Unstimulated saliva samples were randomly collected from 69 students for microbiome analysis at follow-up. The salivary microbiome was assessed through 16S rRNA metagenomic sequencing. The type of community in the salivary microbiome clustered by statistical analysis and diversity was not significantly associated with the worsening of the periodontal health status in cases of increasing %BOP and PPD (p > 0.05). The prevalence of some species was significantly higher in the worsening group than in the non-worsening group (p < 0.05) in both cases. The worsening of the periodontal health status was associated with some species, but not the type of community and diversity in the salivary microbiome among Japanese young adults.

収録刊行物

• International Journal of Environmental Research and Public Health

  International Journal of Environmental Research and Public Health 17 (5), 1764-, 2020-03-09

  MDPI

キーワード

• salivary microbiome
• periodontal health status
• oral hygiene
• cohort study
• young adults

詳細情報

• CRID: 1050566774879357440
• NII論文ID: 120006847417
• ISSN: 16604601
• Web Site: https://ousar.lib.okayama-u.ac.jp/58569
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles