To investigate the existence of any association between new putative periodontal pathogens and periodontitis. Two independent reviewers conducted electronic literature searches in the MEDLINE (PubMed), EMBASE, DOSS and Google Scholar databases as well as a manual search to identify eligible clinical studies prior to November 2022. Studies comparing the prevalence of microorganisms other than the already‐known periodontal pathogens in subgingival plaque and/or saliva samples between subjects with periodontitis and subject with periodontal health were included. Meta‐analyses were performed on data provided by the included studies. Fifty studies including a total of 2739 periodontitis subjects and 1747 subjects with periodontal health were included. The Archaea domain and 25 bacterial species (Anaeroglobus geminatus, Bacteroidales [G‐2] bacterium HMT 274, Desulfobulbus sp. HMT 041, Dialister invisus, Dialister pneumosintes, Eubacterium brachy, Enterococcus faecalis, Eubacterium nodatum, Eubacterium saphenum, Filifactor alocis, Fretibacterium sp. HMT 360, Fretibacterium sp. HMT 362, Mogibacterium timidum, Peptoniphilaceae sp. HMT 113, Peptostreptococcus stomatis, Porphyromonas endodontalis, Slackia exigua, Streptococcus gordonii, Selenomonas sputigena, Treponema amylovorum, Treponema lecithinolyticum, Treponema maltophilum, Treponema medium, Treponema parvum and Treponema socranskii) were found to be statistically significantly associated with periodontitis. Network studies should be conducted to investigate the role of these newly identified periodontitis‐associated microorganisms through interspecies interaction and host‐microbe crosstalk analyses.

The aim of the present study was to assess the feasibility and diagnostic contribution of protein profiling using MALDI-TOF mass spectrometry applied to saliva, gingival crevicular fluid (GCF) and dental plaque from periodontitis and healthy subjects. We hypothesized that rapid routine and blinded MALDI-TOF analysis could accurately classify these three types of samples according to periodontal state. Unstimulated saliva, GCF and dental plaque, collected from periodontitis subjects and healthy controls, were analyzed by MALDI-TOF MS. Based on the differentially expressed peaks between the two groups, diagnostic decision trees were built for each sample. Among 141 patients (67 periodontitis and 74 healthy controls), the decision trees diagnosed periodontitis with a sensitivity = 70.3% (± 0.211) and a specificity = 77.8% (± 0.165) for saliva, a sensitivity = 79.6% (± 0.188) and a specificity = 75.7% (± 0.195) for GCF, and a sensitivity = 72.1% (± 0.202) and a specificity = 72.2% (± 0.195) for dental plaque. The sensitivity and specificity of the tests were improved to 100% (CI 95% = [0.91;1]) and 100% (CI 95% = [0.92;1]), respectively, when two samples were tested. We developed, for the first time, diagnostic tests based on protein profiles of saliva, GCF and dental plaque between periodontitis patients and healthy subjects. When at least 2 of these samples were tested, the best results were obtained.

A Gram-negative bacterium, designated strain Marseille-Q3452^T, was isolated from subgingival dental plaque of a subject suffering from dental plaque biofilm-induced gingivitis on an intact periodontium in Marseille, France. The strain was characterized by 16S rRNA and atpA gene sequence analysis and by conventional phenotypic and chemotaxonomic testing. The average nucleotide identity (ANI) and core genome phylogeny were determined using whole-genome sequences. Although strain Marseille-Q3452^T showed 99.72 % 16S rRNA gene sequence similarity with Campylobacter showae strain ATCC 51146^T, atpA and ANI analyses revealed divergence between the two strains. The two species could also be distinguished phenotypically on the basis of the absence of flagella and nitrate reduction. On the basis of the results from phenotypic, chemotaxonomic, genomic and phylogenetic analyses and data, we concluded that strain Marseille-Q3452^T represents a novel species of the genus Campylobacter , for which the name Campylobacter massiliensis sp. nov. is proposed (=CSUR Q3452=CECT 30263).

Introduction :L’esthétique du sourire s’appuie sur des données numériques, physiques, physiologiques et psychologiques de la beauté, sans oublier les désirs du patient. Elle est déterminée par la forme, la couleur et la position des lèvres, des dents et des tissus gingivaux. L’examen du parodonte dans le cadre facial, puis dans le cadre labial permet d’analyser la visibilité de la gencive lors du sourire naturel et forcé, la santé parodontale, le contour gingival, la ligne esthétique gingivale, la présence des papilles.Matériels et méthodes :L’ensemble de ces données va permettre d’établir un score d’esthétique gingivale, de déterminer les origines de la disharmonie et les traitements envisagés.Discussion :Au moment du plan de traitement global orthodontique, la chirurgie plastique parodontale peut modifier l’aspect et la morphologie gingivale afin de rétablir une harmonie du sourire. La chirurgie plastique parodontale soustractive traite les défauts d’espace biologiques et les excès de tissus perçus lors des éruptions passives incomplètes par gingivectomie ou déplacement apical des tissus gingivaux associés ou non à une ostéoplastie ou une ostéoectomie. Enfin, des injections d’acide hyaluronique dans les papilles permettent de les repulper et de minimiser l’aspect des trous noirs.

Aim: This review is intended to adapt the current conceptual framework in dental education based on four domains to propose a set of competences, learning outcomes and methods of teaching, learning and assessment for undergraduate education in periodontology.Review: Based on the current framework of competences and learning outcomes recommended by the Association for Dental Education in Europe (ADEE), undergraduate education in periodontology has been updated using the classification and clinical practice guidelines for the diagnosis and treatment of periodontal and peri‐implant diseases.Conclusions: Specific learning outcomes have been proposed within each competence area, that is in Domain I (n = 10), Domain II (n = 13), Domain III (n = 33) and Domain IV (n = 12). Teaching methods and learning activities based on the different dimensions of the cognitive process have been proposed. Additionally, 10 key learning outcomes have been proposed as exit outcomes, which implies their accomplishment within the final assessment of any graduating student.