Myung-Seop Shin1, Yun-Gon Kim2, Yoo Jin Shin1, Byoung Joon Ko3, Sungtae Kim4,5, Hyun-Duck Kim6,7. 1. Department of Preventive and Social Dentistry, School of Dentistry, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. 2. Department of Chemical Engineering, Soongsil University, Seoul, South Korea. 3. New Drug Development Center, Osong Medical Innovation Foundation, Cheongju, South Korea. 4. Department of Periodontology, Seoul National University Dental Hospital, Seoul, South Korea. 5. Dental Research Institute, Seoul National University, Seoul, South Korea. 6. Department of Preventive and Social Dentistry, School of Dentistry, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. hyundkim@snu.ac.kr. 7. Dental Research Institute, Seoul National University, Seoul, South Korea. hyundkim@snu.ac.kr.
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.
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.
Entities:
Keywords:
Ingenuity Pathway Analysis; Periodontitis; Protein biomarker; Proteomics; Saliva
Authors: Melissa M Grant; John J Taylor; Katrin Jaedicke; Andrew Creese; Catherine Gowland; Bernard Burke; Khawla Doudin; Upen Patel; Paul Weston; Michael Milward; Susan M Bissett; Helen J Cooper; Gerben Kooijman; Amir Rmaile; Marko de Jager; Philip M Preshaw; Iain L C Chapple Journal: J Clin Periodontol Date: 2022-04-29 Impact factor: 7.478