Oral infections: clinical and biological perspectives

Belibasakis, Georgios N.; Mylonakis, Eleftherios

doi:10.1080/21505594.2015.1025191

Cited by 22 publications

(20 citation statements)

References 42 publications

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“…The interactome analysis of the present study indicates that groups of significantly elevated species and proteins tend to correlate with one another in health or disease. Information derived from such studies may decipher biological signatures in periodontal disease, which will help us understand its etiopathogenesis on the tissue level and may confer future diagnostic and prognostic value (Belibasakis and Mylonakis, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

Proteome and Microbiome Mapping of Human Gingival Tissue in Health and Disease

Bao

Poveda

et al. 2020

Front. Cell. Infect. Microbiol.

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Efforts to map gingival tissue proteomes and microbiomes have been hampered by lack of sufficient tissue extraction methods. The pressure cycling technology (PCT) is an emerging platform for reproducible tissue homogenisation and improved sequence retrieval coverage. Therefore, we employed PCT to characterise the proteome and microbiome profiles in healthy and diseased gingival tissue. Healthy and diseased contralateral gingival tissue samples (total n = 10) were collected from five systemically healthy individuals (51.6 ± 4.3 years) with generalised chronic periodontitis. The tissues were then lysed and digested using a Barocycler, proteins were prepared and submitted for mass spectrometric analysis and microbiome DNA for 16S rRNA profiling analysis. Overall, 1,366 human proteins were quantified (false discovery rate 0.22%), of which 69 proteins were differentially expressed (≥2 peptides and p < 0.05, 62 up, 7 down) in periodontally diseased sites, compared to healthy sites. These were primarily extracellular or vesicle-associated proteins, with functions in molecular transport. On the microbiome level, 362 species-level operational taxonomic units were identified. Of those, 14 predominant species accounted for >80% of the total relative abundance, whereas 11 proved to be significantly different between healthy and diseased sites. Among them, Treponema sp. HMT253 and Fusobacterium naviforme and were associated with disease sites and strongly interacted ( r > 0.7) with 30 and 6 up-regulated proteins, respectively. Healthy-site associated strains Streptococcus vestibularis, Veillonella dispar, Selenomonas sp. HMT478 and Leptotrichia sp. HMT417 showed strong negative interactions ( r < −0.7) with 31, 21, 9, and 18 up-regulated proteins, respectively. In contrast the down-regulated proteins did not show strong interactions with the regulated bacteria. The present study identified the proteomic and intra-tissue microbiome profile of human gingiva by employing a PCT-assisted workflow. This is the first report demonstrating the feasibility to analyse full proteome profiles of gingival tissues in both healthy and disease sites, while deciphering the tissue site-specific microbiome signatures.

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Section: Discussionmentioning

confidence: 99%

Proteome and Microbiome Mapping of Human Gingival Tissue in Health and Disease

Bao

Poveda

et al. 2020

Front. Cell. Infect. Microbiol.

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“…The vast oral microbiome and proteome discoveries achieved via high-throughput datasets now need to be clinically translated into dental public health benefit, for prevention, early diagnosis and predictive treatment (Belibasakis & Mylonakis, 2015). This will require further longitudinal studies of changes in the oral microbiome and proteome during the transition from oral health to disease, in order to be able to reliably link biomarkers to the early stages of dysbiosis.…”

Section: Principles In Pursuit Of Personalized Dentistrymentioning

confidence: 99%

Applications of the oral microbiome in personalized dentistry

Belibasakis

Bostancı

Marsh

et al. 2019

Archives of Oral Biology

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Objective: In the era of personalized medicine, it is imperative that oral health is integrated into this concept. The oral cavity fosters a highly individualized microbiome that has evolved to promote oral health, and which exists in a dynamic balance with the host. Microecological changes to the biology of the mouth [e.g. in the host diet and lifestyle, or status of the immune system] may drive deleterious shifts in the composition or metabolic activity of the oral microbiome ['dysbiosis']. This review aims to explore how knowledge of the oral microbiome may be utilized for personalized dentistry at the point-of-care. Design: This is a comprehensive narrative review of the literature, summarizing the perspectives of the authors. Results: The huge increase in recent knowledge on the ecology and microbiology of the oral cavity generated by 'OMIC' technologies may indeed be clinically translated to support patient care, in terms of prevention, monitoring, risk classification or early diagnosis. The identified clinical applications may not only include dental caries and periodontal disease, but also dental implants and orthodontics. Population-based applications may include systemic health, pregnancy and elderly populations. Conclusions: Applications of selected oral microbiome and host-related biochemical parameters [e.g. the saliva proteome] for personalized dentistry can be customized for different clinical applications or individual populations, at point-of-care hubs.

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“…Several studies have demonstrated that this disease affects up to 30% of all oral and maxillofacial surgery patients (Eckert et al, 2000). The main causes are odontogenic factors such as apical periodontitis (Cope et al, 2014) associated with a high diversity of the oral microbiome (Belibasakis and Mylonakis, 2015), or wound infections such as postoperative complications after tooth extraction or apicoectomy (Voegelin et al, 2008). The removal of teeth, especially of lower wisdom teeth, plays a significant role; third molars compose the majority of removed teeth (Knutsson et al, 2000).…”

Section: Introductionmentioning

confidence: 99%