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Current Status of Proteomic Technologies for Discovering and Identifying Gingival Crevicular Fluid Biomarkers for Periodontal Disease.

Abstract
Periodontal disease is caused by bacteria in dental biofilms. To eliminate the bacteria, immune system cells release substances that inflame and damage the gums, periodontal ligament, or alveolar bone, leading to swollen bleeding gums, which is a sign of gingivitis. Damage from periodontal disease can cause teeth to loosen also. Studies have demonstrated the proteomic approach to be a promising tool for the discovery and identification of biochemical markers of periodontal diseases. Recently, many studies have applied expression proteomics to identify proteins whose expression levels are altered by disease. As a fluid lying in close proximity to the periodontal tissue, the gingival crevicular fluid (GCF) is the principal target in the search for periodontal disease biomarkers because its protein composition may reflect the disease pathophysiology. Biochemical marker analysis of GCF is effective for objective diagnosis in the early and advanced stages of periodontal disease. Periodontal diseases are also promising targets for proteomics, and several groups, including ours, have applied proteomics in the search for GCF biomarkers of periodontal diseases. This search is of continuing interest in the field of experimental and clinical periodontal disease research. In this article, we summarize the current situation of proteomic technologies to discover and identify GCF biomarkers for periodontal diseases.
AuthorsSachio Tsuchida, Mamoru Satoh, Masaki Takiwaki, Fumio Nomura
JournalInternational journal of molecular sciences (Int J Mol Sci) Vol. 20 Issue 1 (Dec 26 2018) ISSN: 1422-0067 [Electronic] Switzerland
PMID30587811 (Publication Type: Journal Article, Review)
Chemical References
  • Biomarkers
  • Proteome
Topics
  • Biomarkers (metabolism)
  • Gingival Crevicular Fluid (metabolism)
  • Gingivitis (metabolism)
  • Humans
  • Periodontal Diseases (diagnosis, metabolism)
  • Proteome (metabolism)
  • Proteomics

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