Background: This systematic review assesses microbiologic profiles of peri‐implantitis, periodontitis, and healthy implants based on studies that evaluated microbial biofilms and entire microbiomes to establish their similarities and differences.Methods: The Medical Literature Analysis and Retrieval System Online via PubMed, Excerpta Medica Database, and Cochrane Central Register of Controlled Trials, were searched without language restrictions through July 30, 2016. Observational studies that evaluated microbial profiles or entire microbiomes of peri‐implantitis compared with healthy implants or periodontitis were considered eligible for inclusion. A descriptive summary was created to determine quantity of data and interstudy variations.Results: Of 126 potentially eligible articles, 26 were included in this study. Twenty‐one of these articles evaluated the microbiologic profile of peri‐implantitis versus healthy implants or periodontitis using conventional microbiologic techniques. Five articles evaluated the entire microbiome using genomic sequencing. Teeth with periodontitis, healthy implants, or implants with peri‐implantitis were colonized by periodontal microorganisms. Porphyromonas gingivalis and especially Prevotella intermedius/nigrescens were often identified at peri‐implantitis sites. Peri‐implantitis sites were also colonized by uncultivable asaccharolytic anaerobic Gram‐positive rods and anaerobic Gram‐negative rods, which were not frequently identified in teeth with periodontitis or healthy implants. Opportunistic microorganisms were not found very frequently in peri‐implantitis sites.Conclusions: Peri‐implantitis represents a heterogeneous mixed infection that includes periodontopathic microorganisms, uncultivable asaccharolytic anaerobic Gram‐positive rods and other uncultivable Gram‐negative rods, and, rarely, opportunistic microorganisms such as enteric rods and Staphylococcus aureus. Sequencing methods that evaluate the entire microbiome improve identification of microorganisms associated with peri‐implantitis.

Background: Recent consensus emphasizes the importance of studying individuals at risk for rheumatoid arthritis (pre‐RA) and those with early RA (eRA). Periodontal tissues have been recently evaluated, but these studies are limited. To evaluate the periodontal condition, immunoglobulin (Ig)G subclasses against Porphyromonas gingivalis in individuals with pre‐RA and eRA were compared with controls to establish an association between periodontal infection markers and rheumatic activity.Methods: Rheumatologic and periodontal condition was evaluated in 119 individuals with pre‐RA, 48 patients with eRA, and matched controls. P. gingivalis IgG1 and IgG2 were analyzed. C‐reactive protein, erythrocyte sedimentation rate (ESR), rheumatoid factor, anticitrullinated protein antibodies (ACPAs), and RA activity were measured. The groups were compared with McNemar test and paired t‐test. Conditional logistic regression was performed for pre‐RA confounders, and χ² test was used to evaluate periodontal variables and RA activity indices.Results: Pre‐RA individuals showed significantly higher levels of plaque index (P = 0.01) and bleeding on probing (P = 0.03) and higher severity of periodontal disease (P = 0.02). Periodontitis was associated with pre‐RA (odds ratio, 3.39; 95% confidence interval, 1.64 to 7.01) but not with eRA. In pre‐RA, P. gingivalis–specific IgG2 was associated with ACPAs (P = 0.049) and disease severity visual analog scale (P = 0.03). In eRA, IgG2 against P. gingivalis was associated with ESR (P = 0.046) and ACPAs (P = 0.04). P. gingivalis was associated with ACPAs (P = 0.04).Conclusions: This study shows that individuals with pre‐RA have significant inflammatory periodontal involvement. There was a significant association between IgG against P. gingivalis and ACPAs in pre‐RA and markers of RA activity in individuals with eRA.

Background: The microbial profile of periodontal disease varies among different human populations. This study evaluated the demographic, clinical, and microbiologic aspects of periodontitis in a multigeographic sample in Colombia.Methods: Three hundred twenty‐five patients with chronic periodontitis (CP), 158 patients with aggressive periodontitis (AgP), and 137 healthy‐gingivitis controls from five regions of the country were studied. Clinical, microbial, and sociodemographic data were collected. Microbiologic identification was performed using polymerase chain reaction 16S rRNA gene on pooled subgingival samples, and the presence of Gram‐negative enteric rods was evaluated by culture. Bivariate and multivariate logistic regression analyses were conducted.Results: Porphyromonas gingivalis occurred in 71.5% of individuals with periodontitis, Tannerella forsythensis occurred in 58.5%, Campylobacter rectus occurred in 57.5%, Actinobacillus actinomycetemcomitans occurred in 23.6%, and enteric rods occurred in 34.5%. P. gingivalis was more common in CP and AgP than controls. A. actinomycetemcomitans was increased in AgP compared to controls and patients with CP. T. forsythensis, C. rectus, and Eikenella corrodens had a low presence in the West Pacific and Central regions, and enteric rods were increased in the Central region (P <0.05). Other sociodemographic factors were not associated with these microorganisms.Conclusions: Geographic regions do not influence the microbiota, but the microbiota may vary by geographic region. P. gingivalis, T. forsythensis, and C. rectus are the most prevalent periodontophatic microorganisms in Colombia. A. actinomycetemcomitans was more common in AgP, and a large percentage of the population studied had enteric rods in the subgingival plaque.

No microbiological criteria were included in the 2018 EFP-AAP classification of periodontal diseases that could be used to differentiate between stages and grades. Furthermore, differences in the subgingival microbiome depending on stage and grade have not been established. Sixty subgingival biofilm samples were collected in Spain (n = 30) and Colombia (n = 30) from three distinct patient categories: those with periodontal health/gingivitis (n = 20), those with stage I-II periodontitis (n = 20), and those with stage III-IV periodontitis (n = 20). Patients were evaluated by 16S rRNA gene amplification sequencing. Amplicon sequence variants were used to assign taxonomic categories compared to the Human Oral Microbiome Database (threshold ≥97% identity). Alpha diversity was established by Shannon and Simpson indices, and principal coordinate analysis, ANOSIM, and PERMANOVA of the UNIFRAC distances were performed using QIIME2. Although differences in the alpha diversity were observed between samples according to country, Filifactor alocis, Peptostreptococcaceae [XI][G-4] bacterium HMT 369, Fretibacterium fastidiosum, Lachnospiraceae [G-8] bacterium HMT 500, Peptostreptococcaceae [XI][G-5] [Eubacterium] saphenum, Peptostreptococcus stomatis, and Tannerella forsythia were associated with periodontitis sites in all stages. However, only F. alocis, Peptostreptococcaceae [XI][G-4] bacterium HMT 369, Peptostreptococcaceae [XI][G-9] [Eubacterium] brachy, Peptostreptococcaceae [XI][G-5] [Eubacterium] saphenum, and Desulfobulbus sp. HMT 041 were consistent in stage III-IV periodontitis in both countries. Porphyromonas gingivalis and Tannerella forsythia were differentially expressed in severe lesions in the countries studied. Although some non-cultivable microorganisms showed differential patterns between the different stages of periodontitis, they were not the same in the two countries evaluated. Further studies using larger samples with advanced next-generation techniques for high-throughput sequencing of phyla and non-cultivable bacteria within the subgingival microbiome could provide more insight into the differences between stages of periodontitis.