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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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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1724717557565358080 |