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Journal of Peking University (Health Sciences) ›› 2025, Vol. 57 ›› Issue (5): 859-863. doi: 10.19723/j.issn.1671-167X.2025.05.008

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Application of salivary micro-ecosystem in early prevention and control of oral and systemic diseases

Xiangyu SUN, Chao YUAN, Xinzhu ZHOU, Jing DIAO, Shuguo ZHENG*()   

  1. Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomato-logy & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing 100081, China
  • Received:2025-08-06 Online:2025-10-18 Published:2025-09-04
  • Contact: Shuguo ZHENG
  • Supported by:
    the National Key R&D Program of China(2022YFA1206100); the National Key R&D Program of China(2022YFE0118300); the National Natural Science Foundation of China(81801037); the Capital' s Funds for Health Improvement and Research(首发2022-2G-4105)

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Abstract: Saliva is an important body fluid in the oral cavity containing lots of biomarkers, whose inherent micro-ecosystem holds significant value for early diagnosis and monitoring of oral diseases. Simultaneously, saliva has particular advantages, such as ease of sampling, painless and non-invasive collection, and suitability for repeated sampling, making it highly appropriate for surveillance and follow-up of diseases. In a series of studies conducted by the research group for preventive dentistry in Peking University School and Hospital of Stomatology, we compared different segments of saliva and those samples collected via different sampling methods using proteomic/peptidomic and microbiomic technologies to explore the stability of saliva samples. Besides, the significance of applying representative salivary biomarkers in early prevention and control of representative oral diseases (e.g. dental caries, periodontal diseases) and systemic conditions (e.g. type 2 diabetes mellitus, chronic kidney disease) was confirmed as well.

Key words: Saliva, Micro-ecosystem, Multiomics, Biomarkers, Early diagnosis

CLC Number: 

  • R781
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