P. Rajapriya, P. Saravanan, Burnice Nk, Priyanka Kc, S. Shalini, R. Ramakrishnan
{"title":"Recent Advances in Salivary Proteomics, Genomics and Transcriptomics: A Reliable Tool in Periodontal diagnosis – A Review","authors":"P. Rajapriya, P. Saravanan, Burnice Nk, Priyanka Kc, S. Shalini, R. Ramakrishnan","doi":"10.22452/ADUM.VOL21NO2.4","DOIUrl":null,"url":null,"abstract":"Aim: This review intends to provide a highlight on the potential application of salivary proteomics in periodontal diagnosis and attempts to throw light on the emerging salivary diagnostic tools for periodontal disease detection. Background: Clinical parameters for detection of periodontitis such as probing depth, attachment level, bleeding on probing, plaque index, and radiographic assessment of alveolar bone loss provide information on the severity of periodontitis, but they do not measure disease activity. Ideally, development and application of rapid and simple diagnostic tests based on host salivary or immune factors may facilitate early detection of patients at risk for periodontal diseases, allow appropriate intervention, decrease the need for more aggressive treatment and improve the response to periodontal therapy. Results: Studies have shown that saliva could be used as a diagnostic fluid as it is one of the inexpensive, noninvasive and easy-to-use diagnostic methods. Salivary constituents that have been studied as potential diagnostic biomarkers for periodontal disease includes locally produced proteins of host and bacterial origin, genetic/genomic biomarkers such as DNA and mRNA of host origin, bacteria and bacterial products, ions, steroid hormones and volatile compounds. Conclusion: Periodontal oral diagnostic devices will enable screening of large populations, more quickly and effectively. Use of salivary biomarkers to sample large populations will help to identify at-risk groups more effectively and increase access to treatment for those most at need, thereby, improving public health.","PeriodicalId":75515,"journal":{"name":"Annals of dentistry","volume":"21 1","pages":"8-16"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of dentistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22452/ADUM.VOL21NO2.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Aim: This review intends to provide a highlight on the potential application of salivary proteomics in periodontal diagnosis and attempts to throw light on the emerging salivary diagnostic tools for periodontal disease detection. Background: Clinical parameters for detection of periodontitis such as probing depth, attachment level, bleeding on probing, plaque index, and radiographic assessment of alveolar bone loss provide information on the severity of periodontitis, but they do not measure disease activity. Ideally, development and application of rapid and simple diagnostic tests based on host salivary or immune factors may facilitate early detection of patients at risk for periodontal diseases, allow appropriate intervention, decrease the need for more aggressive treatment and improve the response to periodontal therapy. Results: Studies have shown that saliva could be used as a diagnostic fluid as it is one of the inexpensive, noninvasive and easy-to-use diagnostic methods. Salivary constituents that have been studied as potential diagnostic biomarkers for periodontal disease includes locally produced proteins of host and bacterial origin, genetic/genomic biomarkers such as DNA and mRNA of host origin, bacteria and bacterial products, ions, steroid hormones and volatile compounds. Conclusion: Periodontal oral diagnostic devices will enable screening of large populations, more quickly and effectively. Use of salivary biomarkers to sample large populations will help to identify at-risk groups more effectively and increase access to treatment for those most at need, thereby, improving public health.