Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review

Muhammad Ihsan Rizal, Yuniarti Soeroso, Benso Sulijaya, Bobby F. Assiddiq, Endang W. Bachtiar, Boy M. Bachtiar

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)


Quantitative proteomic workflow based on mass spectrometry (MS) is recently developed by the researchers to screen for biomarkers in periodontal diseases comprising periodontitis. Periodontitis is known for chronic inflammatory disease characterized by progressive destruction of the tooth-supporting apparatus, yet has a lack of clear pathobiology based on a discrepancy between specified categories and diagnostic vagueness. The objective of this review was to outlined the accessible information related to proteomics studies on periodontitis. The Preferred Reporting Items for Systematical Reviews and Meta-Analysis (PRISMA) statement guides to acquaint proteomic analysis on periodontal diseases was applied. Three databases were used in this study, such as Pubmed, ScienceDirect and Biomed Central from 2009 up to November 2019. Proteomics analysis platforms that used in the studies were outlined. Upregulated and downregulated proteins findings data were found, in which could be suitable as candidate biomarkers for this disease.

Original languageEnglish
Article numbere04022
Issue number6
Publication statusPublished - Jun 2020


  • Biochemistry
  • Biomarker
  • Cell biology
  • Dentistry
  • Molecular biology
  • Periodontal disease
  • Periodontitis
  • Proteins
  • Proteomics


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