Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review

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...

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Main Authors: Muhammad Ihsan Rizal, Yuniarti Soeroso, Benso Sulijaya, Bobby F. Assiddiq, Endang W. Bachtiar, Boy M. Bachtiar
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020308665
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spelling doaj-518615eefef041a3b8e9a35905b9c7352020-11-25T02:55:13ZengElsevierHeliyon2405-84402020-06-0166e04022Proteomics approach for biomarkers and diagnosis of periodontitis: systematic reviewMuhammad Ihsan Rizal0Yuniarti Soeroso1Benso Sulijaya2Bobby F. Assiddiq3Endang W. Bachtiar4Boy M. Bachtiar5Oral Science Research Center, Faculty of Dentistry, Universitas Indonesia, Jakarta, IndonesiaDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, IndonesiaDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, IndonesiaDermama Proteomics Laboratory, Banten, IndonesiaOral Science Research Center, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia; Department of Oral Biology, Faculty of Dentistry, Universitas Indonesia, Jakarta, IndonesiaOral Science Research Center, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia; Department of Oral Biology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2405844020308665Cell biologyProteinsBiochemistryMolecular biologyDentistryProteomics
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Ihsan Rizal
Yuniarti Soeroso
Benso Sulijaya
Bobby F. Assiddiq
Endang W. Bachtiar
Boy M. Bachtiar
spellingShingle Muhammad Ihsan Rizal
Yuniarti Soeroso
Benso Sulijaya
Bobby F. Assiddiq
Endang W. Bachtiar
Boy M. Bachtiar
Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
Heliyon
Cell biology
Proteins
Biochemistry
Molecular biology
Dentistry
Proteomics
author_facet Muhammad Ihsan Rizal
Yuniarti Soeroso
Benso Sulijaya
Bobby F. Assiddiq
Endang W. Bachtiar
Boy M. Bachtiar
author_sort Muhammad Ihsan Rizal
title Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
title_short Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
title_full Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
title_fullStr Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
title_full_unstemmed Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
title_sort proteomics approach for biomarkers and diagnosis of periodontitis: systematic review
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2020-06-01
description 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.
topic Cell biology
Proteins
Biochemistry
Molecular biology
Dentistry
Proteomics
url http://www.sciencedirect.com/science/article/pii/S2405844020308665
work_keys_str_mv AT muhammadihsanrizal proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
AT yuniartisoeroso proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
AT bensosulijaya proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
AT bobbyfassiddiq proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
AT endangwbachtiar proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
AT boymbachtiar proteomicsapproachforbiomarkersanddiagnosisofperiodontitissystematicreview
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