Literature DB >> 31026423

The potentiality of salivary peptide biomarkers for screening patients with periodontal diseases by mass spectrometry.

Han Tang1, Chao Yuan1, Zhangke Ma1, Ce Zhu1, Peiyuan Tong1, Jennifer Elizabeth Gallagher2, Xiangyu Sun3, Shuguo Zheng4.   

Abstract

BACKGROUND: Certain candidate biomarkers for periodontal diseases in saliva, gingival crevicular fluid (GCF), and serum were reported by some previous studies, but little evidence was obtained in their potentiality for screening patients with periodontal diseases.
METHODS: Unstimulated whole saliva, GCF, and serum samples, which were collected from 17 patients with chronic periodontitis, 17 with gingivitis, and 16 periodontally healthy persons as control, were analysed by MALDI-TOF MS. Cluster analysis and receiver operating characteristic (ROC) curve analysis were carried out to evaluate the ability of candidate peptides to distinguish patients with periodontal diseases from healthy subjects. Nano-LC/ESI-MS/MS was performed to identify possible proteins that these peptides might derive from.
RESULTS: Most of the differentially expressed peptides exhibited an increase in participants with chronic periodontitis and gingivitis compared with healthy controls. Cluster analysis showed a good clustering capacity between chronic periodontitis and healthy controls. Most AUCs for differentially expressed peptides were >0.7, whereas some peptides from GCF and serum even exhibited AUCs of 0.9-1.0.
CONCLUSIONS: Some peptides in saliva, GCF, and serum act as biomarkers for chronic periodontitis and gingivitis, which have certain potentiality for screening patients with periodontal diseases and distinguishing them from healthy individuals in a comparatively large population by mass spectrometry.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gingivitis; Mass spectrometry; Periodontitis; Salivary biomarkers

Year:  2019        PMID: 31026423     DOI: 10.1016/j.cca.2019.04.076

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

1.  Characterising salivary peptidome across diurnal dynamics and variations induced by sampling procedures.

Authors:  Ce Zhu; Chao Yuan; Fangqiao Wei; Xiangyu Sun; Shuguo Zheng
Journal:  Clin Oral Investig       Date:  2022-09-23       Impact factor: 3.606

2.  Comparative evaluation of peptidome and microbiota in different types of saliva samples.

Authors:  Ce Zhu; Chao Yuan; Fang-Qiao Wei; Xiang-Yu Sun; Shu-Guo Zheng
Journal:  Ann Transl Med       Date:  2020-06

Review 3.  Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review.

Authors:  Muhammad Ihsan Rizal; Yuniarti Soeroso; Benso Sulijaya; Bobby F Assiddiq; Endang W Bachtiar; Boy M Bachtiar
Journal:  Heliyon       Date:  2020-06-04

4.  Rapid diagnosis of periodontitis, a feasibility study using MALDI-TOF mass spectrometry.

Authors:  Angéline Antezack; Hervé Chaudet; Hervé Tissot-Dupont; Philippe Brouqui; Virginie Monnet-Corti
Journal:  PLoS One       Date:  2020-03-13       Impact factor: 3.240

Review 5.  Gingival Crevicular Fluid Peptidome Profiling in Healthy and in Periodontal Diseases.

Authors:  Mariaimmacolata Preianò; Rocco Savino; Chiara Villella; Corrado Pelaia; Rosa Terracciano
Journal:  Int J Mol Sci       Date:  2020-07-24       Impact factor: 5.923

Review 6.  Proteome Analysis of Molecular Events in Oral Pathogenesis and Virus: A Review with a Particular Focus on Periodontitis.

Authors:  Sachio Tsuchida
Journal:  Int J Mol Sci       Date:  2020-07-22       Impact factor: 5.923

7.  Identification of nine signature proteins involved in periodontitis by integrated analysis of TMT proteomics and transcriptomics.

Authors:  Wei Liu; Wei Qiu; Zhendong Huang; Kaiying Zhang; Keke Wu; Ke Deng; Yuanting Chen; Ruiming Guo; Buling Wu; Ting Chen; Fuchun Fang
Journal:  Front Immunol       Date:  2022-08-09       Impact factor: 8.786

8.  Impact of the Glycemic Level on the Salivary Proteome of Middle-Aged and Elderly People With Type 2 Diabetes Mellitus: An Observational Study.

Authors:  Shu Yuan Jia; Yan Ling Zhang; Xiang Yu Sun; Chao Yuan; Shu Guo Zheng
Journal:  Front Mol Biosci       Date:  2021-12-10
  8 in total

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