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

doi:10.1016/j.heliyon.2020.e04022

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 journal › Review article › peer-review

18 Citations (Scopus)

Abstract

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 language	English
Article number	e04022
Journal	Heliyon
Volume	6
Issue number	6
DOIs	https://doi.org/10.1016/j.heliyon.2020.e04022
Publication status	Published - Jun 2020

Keywords

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

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10.1016/j.heliyon.2020.e04022

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title = "Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review",

abstract = "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.",

keywords = "Biochemistry, Biomarker, Cell biology, Dentistry, Molecular biology, Periodontal disease, Periodontitis, Proteins, Proteomics",

author = "Rizal, {Muhammad Ihsan} and Yuniarti Soeroso and Benso Sulijaya and Assiddiq, {Bobby F.} and Bachtiar, {Endang W.} and Bachtiar, {Boy M.}",

note = "Funding Information: This work was partly supported by Universitas Indonesia (PUTI Doktor 2020). No. NKB-595/UN2.RST/HKP. 05.00/2020 . Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = jun,

doi = "10.1016/j.heliyon.2020.e04022",

language = "English",

volume = "6",

journal = "Heliyon",

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T2 - systematic review

AU - Rizal, Muhammad Ihsan

AU - Soeroso, Yuniarti

AU - Sulijaya, Benso

AU - Assiddiq, Bobby F.

AU - Bachtiar, Endang W.

AU - Bachtiar, Boy M.

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

KW - Biochemistry

KW - Biomarker

KW - Cell biology

KW - Dentistry

KW - Molecular biology

KW - Periodontal disease

KW - Periodontitis

KW - Proteins

KW - Proteomics

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U2 - 10.1016/j.heliyon.2020.e04022

DO - 10.1016/j.heliyon.2020.e04022

M3 - Review article

AN - SCOPUS:85085645930

SN - 2405-8440

VL - 6

JO - Heliyon

JF - Heliyon

IS - 6

M1 - e04022

ER -

Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review

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Keywords

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