Literature DB >> 23173825

Host genome, epigenome, and oral microbiome interactions: toward personalized periodontal therapy.

Sleiman Razzouk1, Omid Termechi.   

Abstract

Periodontal diseases are multidimensional and complex. Bacterial content is the initiator, but disease progression depends on genetic and environmental parameters related to the host. Although bone loss magnitude is the common resulting outcome, the biologic process likely represents a unique inflammatory response characteristic to every individual. Therefore, it is obvious that practitioners must take into account the influence of these parameters and tailor a treatment accordingly. New, emerging deoxyribonucleotide-based technologies allow integration of the biologic impact of the environment, and periodontists should be prepared to incorporate these technologies into their practice to advance personalized medicine. This commentary provides updated insights on the distinctiveness of inflammation per individual in terms of microbiome and genome specificity and cites some educational resources helpful for implementing individualized therapy.

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Mesh:

Year:  2012        PMID: 23173825     DOI: 10.1902/jop.2012.120531

Source DB:  PubMed          Journal:  J Periodontol        ISSN: 0022-3492            Impact factor:   6.993


  4 in total

Review 1.  Personalized periodontal treatment for the tobacco- and alcohol-using patient.

Authors:  Mark I Ryder; Elizabeth T Couch; Benjamin W Chaffee
Journal:  Periodontol 2000       Date:  2018-10       Impact factor: 7.589

2.  Multicenter Comparison of Lung and Oral Microbiomes of HIV-infected and HIV-uninfected Individuals.

Authors:  James M Beck; Patrick D Schloss; Arvind Venkataraman; Homer Twigg; Kathleen A Jablonski; Frederic D Bushman; Thomas B Campbell; Emily S Charlson; Ronald G Collman; Kristina Crothers; Jeffrey L Curtis; Kimberly L Drews; Sonia C Flores; Andrew P Fontenot; Mary A Foulkes; Ian Frank; Elodie Ghedin; Laurence Huang; Susan V Lynch; Alison Morris; Brent E Palmer; Thomas M Schmidt; Erica Sodergren; George M Weinstock; Vincent B Young
Journal:  Am J Respir Crit Care Med       Date:  2015-12-01       Impact factor: 21.405

3.  Artificial neural networks for the diagnosis of aggressive periodontitis trained by immunologic parameters.

Authors:  Georgios Papantonopoulos; Keiso Takahashi; Tasos Bountis; Bruno G Loos
Journal:  PLoS One       Date:  2014-03-06       Impact factor: 3.240

4.  Oral Biofilm Sampling for Microbiome Analysis in Healthy Children.

Authors:  Elisabeth Santigli; Martin Koller; Barbara Klug
Journal:  J Vis Exp       Date:  2017-12-31       Impact factor: 1.355

  4 in total

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