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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276445/ https://www.ncbi.nlm.nih.gov/pubmed/32529063 http://dx.doi.org/10.1016/j.heliyon.2020.e04022 |
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author | Rizal, Muhammad Ihsan Soeroso, Yuniarti Sulijaya, Benso Assiddiq, Bobby F. Bachtiar, Endang W. Bachtiar, Boy M. |
author_facet | Rizal, Muhammad Ihsan Soeroso, Yuniarti Sulijaya, Benso Assiddiq, Bobby F. Bachtiar, Endang W. Bachtiar, Boy M. |
author_sort | Rizal, Muhammad Ihsan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7276445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72764452020-06-10 Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review Rizal, Muhammad Ihsan Soeroso, Yuniarti Sulijaya, Benso Assiddiq, Bobby F. Bachtiar, Endang W. Bachtiar, Boy M. Heliyon Article 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. Elsevier 2020-06-04 /pmc/articles/PMC7276445/ /pubmed/32529063 http://dx.doi.org/10.1016/j.heliyon.2020.e04022 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Rizal, Muhammad Ihsan Soeroso, Yuniarti Sulijaya, Benso Assiddiq, Bobby F. Bachtiar, Endang W. Bachtiar, Boy M. Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review |
title | 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_short | Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review |
title_sort | proteomics approach for biomarkers and diagnosis of periodontitis: systematic review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7276445/ https://www.ncbi.nlm.nih.gov/pubmed/32529063 http://dx.doi.org/10.1016/j.heliyon.2020.e04022 |
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