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Saliva as a future potential predictor for various periodontal diseases
Background: There are many diagnostic biomarkers have been found in saliva. Saliva contains a wide variety of proteins, including bacteria and products, enzymes, inflammatory mediators and host response modifiers, products of tissue breakdown. Purpose: The purpose of the study was studied current development of diagnostic biomarkers in saliva that will lead to the development of simple and accurate
diagnostic tools for periodental disease. Reviews: Specifically, the salivary biomarkers divided for three aspects of periodontitis i.e. inflammation, collagen degradation and bone turnover, correlated with clinical features of periodontal disease. The diagnostic biomarkers is in saliva, such as enzyme, immunoglobulin,
cytokines, bacteria and bacterial products, hormones. For the past two decades, oral health researchers have been developing salivary diagnostic tools to monitor oral diseases. Conclusion: The indicators of acute periodontitis can detect with ß-glucuronidase and AST, IL-1β, and MMP-8, whereas indicators for chronic periodontitis can detect with ALP. The indicators for collagen degradation and bone
turnover suggest ICTP, fibronectin fragments, and osteonectin. The indicators of severity of periodontitis especially can be predict by B. forsythus.
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