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Deep sequencing salivary proteins for periodontitis using proteomics

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Abstract

Objectives

Saliva is a bodily fluid transuded from gingival crevice fluid and blood and contains many proteins. Proteins in saliva have been studied as markers for periodontal diseases. Mass spectrometric analysis is applied to investigate biomarker proteins that are related to periodontitis.

Material and methods

Saliva samples were collected from 207 participants including 36 pairs matched for age, sex, and smoking who joined Yangpyeong health cohort. Periodontitis was defined by 2005 5th European guideline. Shotgun proteomics was applied to detect proteins from saliva samples. Principal component analysis and Ingenuity Pathway Analysis for canonical pathway and protein pathway were applied. Protein-protein interaction was also applied. Enzyme-linked immunosorbent assay (ELISA) was used to verify the candidate protein markers among another matched participants (n = 80).

Results

Shotgun proteomics indicated that salivary S100A8 and S100A9 were candidate biomarkers for periodontitis. ELISA confirmed that both salivary S100A8 and S100A9 were higher in those with periodontitis compared to those without periodontitis (paired-t test, p < 0.05).

Conclusion

Our proteomics data showed that S100A8 and S100A9 in saliva could be candidate biomarkers for periodontitis. The rapid-test-kit using salivary S100A8 and S100A9 will be a practical tool for reducing the risk of periodontitis and promotion of periodontal health.

Clinical relevance

A rapid-test-kit using salivary biomarkers, S100A8 and S100A9, could be utilized by clinicians and individuals for screening periodontitis, which might reduce the morbidity of periodontitis and promote periodontal health.

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Funding

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (NRF-2017M3A9B6062984).

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Authors and Affiliations

  1. Department of Preventive and Social Dentistry, School of Dentistry, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea

    Myung-Seop Shin, Yoo Jin Shin & Hyun-Duck Kim

  2. Department of Chemical Engineering, Soongsil University, Seoul, South Korea

    Yun-Gon Kim

  3. New Drug Development Center, Osong Medical Innovation Foundation, Cheongju, South Korea

    Byoung Joon Ko

  4. Department of Periodontology, Seoul National University Dental Hospital, Seoul, South Korea

    Sungtae Kim

  5. Dental Research Institute, Seoul National University, Seoul, South Korea

    Sungtae Kim & Hyun-Duck Kim

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  1. Myung-Seop Shin
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Correspondence to Hyun-Duck Kim.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This cross-sectional study was approved by institutional review board (SNU SOD N0: S-D20170045).

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Shin, MS., Kim, YG., Shin, Y.J. et al. Deep sequencing salivary proteins for periodontitis using proteomics. Clin Oral Invest 23, 3571–3580 (2019). https://doi.org/10.1007/s00784-018-2779-1

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