Literature DB >> 21679186

What do 'omic technologies have to offer periodontal clinical practice in the future?

M M Grant1.   

Abstract

BACKGROUND AND
OBJECTIVE: Periodontal diseases are the most common chronic inflammatory diseases of humans and a major cause of tooth loss. Inflammatory periodontitis is also a complex multifactorial disease involving many cell types, cell products and interactions. It is associated with a dysregulated inflammatory response, which fails to resolve, and which also fails to re-establish a beneficial periodontal microbiota. There is a rich history of biomarker research within the field of periodontology, but exemplary improvements in analytical platform technologies offer exciting opportunities for discovery. These include the 'omic technologies, such as genomics, transcriptomics, proteomics and metabolomics, which provide information on global scales that can match the complexity of the disease. This narrative review focuses on the recent advances made in in vivo human periodontal research by use of 'omic technologies.
MATERIAL AND METHODS: The Medline database was searched to identify articles currently available on 'omic technologies with regard to periodontal research.
RESULTS: One hundred and sixty-one articles focusing on biomarkers of and 'omic advances in periodontal research were analysed for their contributions to the understanding of periodontal diseases.
CONCLUSION: The data generated by the use of 'omic technologies have huge potential to inform paradigm shifts in our understanding of periodontal diseases, but data management, analysis and interpretation require a thoughtful and systematic bioinformatics approach, to ensure meaningful conclusions can be made.
© 2011 John Wiley & Sons A/S.

Entities:  

Mesh:

Year:  2011        PMID: 21679186     DOI: 10.1111/j.1600-0765.2011.01387.x

Source DB:  PubMed          Journal:  J Periodontal Res        ISSN: 0022-3484            Impact factor:   4.419


  12 in total

1.  Pregnancy-induced gingivitis and OMICS in dentistry: in silico modeling and in vivo prospective validation of estradiol-modulated inflammatory biomarkers.

Authors:  Mervi Gürsoy; Fares Zeidán-Chuliá; Eija Könönen; José C F Moreira; Joonas Liukkonen; Timo Sorsa; Ulvi K Gürsoy
Journal:  OMICS       Date:  2014-07-01

2.  Potential role of nuclear magnetic resonance spectroscopy to identify salivary metabolite alterations in patients with head and neck cancer.

Authors:  Jopi J W Mikkonen; Surya P Singh; Ramin Akhi; Tuula Salo; Reijo Lappalainen; Wilfredo A González-Arriagada; Márcio Ajudarte Lopes; Arja M Kullaa; Sami Myllymaa
Journal:  Oncol Lett       Date:  2018-09-07       Impact factor: 2.967

Review 3.  Uncovering the molecular networks in periodontitis.

Authors:  Fábio Trindade; Frank G Oppenheim; Eva J Helmerhorst; Francisco Amado; Pedro S Gomes; Rui Vitorino
Journal:  Proteomics Clin Appl       Date:  2014-07-14       Impact factor: 3.494

4.  Pressure Cycling Technology Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics during the Initiation and Progression of Inflammatory Periodontal Disease.

Authors:  Kai Bao; Xiaofei Li; Tetsuhiro Kajikawa; Abe Toshiharu; Nathalie Selevsek; Jonas Grossmann; George Hajishengallis; Nagihan Bostanci
Journal:  Proteomics       Date:  2020-01-15       Impact factor: 3.984

5.  Development of an Ontology for Periodontitis.

Authors:  Asami Suzuki; Takako Takai-Igarashi; Jun Nakaya; Hiroshi Tanaka
Journal:  J Biomed Semantics       Date:  2015-07-01

6.  Epigenetic biomarkers: a step forward for understanding periodontitis.

Authors:  Anders M Lindroth; Yoon Jung Park
Journal:  J Periodontal Implant Sci       Date:  2013-06-30       Impact factor: 2.614

Review 7.  Salivaomics - A promising future in early diagnosis of dental diseases.

Authors:  Suneetha Koneru; Rambabu Tanikonda
Journal:  Dent Res J (Isfahan)       Date:  2014-01

8.  Transcriptome analysis reveals mucin 4 to be highly associated with periodontitis and identifies pleckstrin as a link to systemic diseases.

Authors:  Anna Lundmark; Haleh Davanian; Tove Båge; Gunnar Johannsen; Catalin Koro; Joakim Lundeberg; Tülay Yucel-Lindberg
Journal:  Sci Rep       Date:  2015-12-21       Impact factor: 4.379

9.  Quantitative proteomic analysis of gingival crevicular fluid in different periodontal conditions.

Authors:  Carina M Silva-Boghossian; Ana Paula V Colombo; Marcia Tanaka; Carolina Rayo; Yizhi Xiao; Walter L Siqueira
Journal:  PLoS One       Date:  2013-10-01       Impact factor: 3.240

10.  Longitudinal quantification of the gingival crevicular fluid proteome during progression from gingivitis to periodontitis in a canine model.

Authors:  Ian J Davis; Andrew W Jones; Andrew J Creese; Ruth Staunton; Jujhar Atwal; Iain L C Chapple; Stephen Harris; Melissa M Grant
Journal:  J Clin Periodontol       Date:  2016-05-23       Impact factor: 8.728

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