Literature DB >> 25415010

Emerging horizons of salivary diagnostics for periodontal disease.

L Fuentes1, M Yakob1, D T W Wong1.   

Abstract

The field of salivary diagnostics to allow risk determination for periodontal diseases is advancing. New technologies in proteomics, genomics and nanotechnologies have continued the discovery of discriminatory periodontal disease biomarkers. This review briefly overviews biomarker studies that have been completed in saliva for the detection of periodontal disease since 2010. Disease specific biomarkers could be used in risk determination, treatment planning and disease progression. Currently, diagnostic tests are commercially available, and the development of point-of-care tests is expanding. Even though challenges remain, salivary diagnostics for periodontal disease is promising and could facilitate the diagnostics and treatment in a clinical practice by dental practitioners.

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Year:  2014        PMID: 25415010     DOI: 10.1038/sj.bdj.2014.1005

Source DB:  PubMed          Journal:  Br Dent J        ISSN: 0007-0610            Impact factor:   1.626


  122 in total

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Authors:  E Kaufman; I B Lamster
Journal:  J Clin Periodontol       Date:  2000-07       Impact factor: 8.728

Review 2.  Genomic targets in saliva.

Authors:  Bernhard G Zimmermann; Noh Jin Park; David T Wong
Journal:  Ann N Y Acad Sci       Date:  2007-03       Impact factor: 5.691

3.  Transcriptomes in healthy and diseased gingival tissues.

Authors:  Ryan T Demmer; Jan H Behle; Dana L Wolf; Martin Handfield; Moritz Kebschull; Romanita Celenti; Paul Pavlidis; Panos N Papapanou
Journal:  J Periodontol       Date:  2008-11       Impact factor: 6.993

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Authors:  B L Pihlstrom
Journal:  Periodontol 2000       Date:  2001       Impact factor: 7.589

5.  Matrix metalloproteinases and myeloperoxidase in gingival crevicular fluid provide site-specific diagnostic value for chronic periodontitis.

Authors:  Jussi M Leppilahti; Patricia A Hernández-Ríos; Jorge A Gamonal; Taina Tervahartiala; Romina Brignardello-Petersen; Paivi Mantyla; Timo Sorsa; Marcela Hernández
Journal:  J Clin Periodontol       Date:  2014-02-17       Impact factor: 8.728

Review 6.  Activation mechanisms of matrix metalloproteinases.

Authors:  H Nagase
Journal:  Biol Chem       Date:  1997 Mar-Apr       Impact factor: 3.915

7.  Bone remodeling-associated salivary biomarker MIP-1α distinguishes periodontal disease from health.

Authors:  M Al-Sabbagh; A Alladah; Y Lin; R J Kryscio; M V Thomas; J L Ebersole; C S Miller
Journal:  J Periodontal Res       Date:  2011-11-29       Impact factor: 4.419

8.  Salivary transcriptomic biomarkers for detection of resectable pancreatic cancer.

Authors:  Lei Zhang; James J Farrell; Hui Zhou; David Elashoff; David Akin; No-Hee Park; David Chia; David T Wong
Journal:  Gastroenterology       Date:  2009-11-18       Impact factor: 22.682

9.  Biomarker discovery in asthma-related inflammation and remodeling.

Authors:  Florence Quesada Calvo; Marianne Fillet; Dominique de Seny; Marie-Alice Meuwis; Raphael Maree; Céline Crahay; Geneviève Paulissen; Natacha Rocks; Maud Gueders; Louis Wehenkel; Marie-Paule Merville; Renaud Louis; Jean-Michel Foidart; Agnes Noël; Didier Cataldo
Journal:  Proteomics       Date:  2009-04       Impact factor: 3.984

10.  Salivary biomarkers of oral health: a cross-sectional study.

Authors:  Nilminie Rathnayake; Sigvard Akerman; Bjorn Klinge; Nina Lundegren; Henrik Jansson; Ylva Tryselius; Timo Sorsa; Anders Gustafsson
Journal:  J Clin Periodontol       Date:  2012-11-22       Impact factor: 8.728

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  5 in total

1.  Changes in salivary matrix metalloproteinase-3, -8, and -9 concentrations after 6 weeks of non-surgical periodontal therapy.

Authors:  Han-Na Kim
Journal:  BMC Oral Health       Date:  2022-05-13       Impact factor: 3.747

Review 2.  Nanomaterials for Tissue Engineering In Dentistry.

Authors:  Manila Chieruzzi; Stefano Pagano; Silvia Moretti; Roberto Pinna; Egle Milia; Luigi Torre; Stefano Eramo
Journal:  Nanomaterials (Basel)       Date:  2016-07-21       Impact factor: 5.076

3.  Prediction of Chronic Periodontitis Severity Using Machine Learning Models Based On Salivary Bacterial Copy Number.

Authors:  Eun-Hye Kim; Seunghoon Kim; Hyun-Joo Kim; Hyoung-Oh Jeong; Jaewoong Lee; Jinho Jang; Ji-Young Joo; Yerang Shin; Jihoon Kang; Ae Kyung Park; Ju-Youn Lee; Semin Lee
Journal:  Front Cell Infect Microbiol       Date:  2020-11-16       Impact factor: 5.293

4.  Evaluation of salivary biomarkers for the diagnosis of periodontitis.

Authors:  Fan Chen; Yu Cai; Yong Zhang; Ni Kang; Fei Xue; Jing Qiao; Jinyu Duan
Journal:  BMC Oral Health       Date:  2021-05-17       Impact factor: 2.757

Review 5.  Nanotechnology in dentistry: prevention, diagnosis, and therapy.

Authors:  Ensanya Ali Abou Neel; Laurent Bozec; Roman A Perez; Hae-Won Kim; Jonathan C Knowles
Journal:  Int J Nanomedicine       Date:  2015-10-08
  5 in total

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