Aim: To investigate the intra-tissue bacteriome and cell profiles within periodontal granulation tissue (PGT) for exploring the biological essence and translational potentials.
Materials and methods: PGT samples were collected from 49 patients with severe periodontitis-including those from osseous defects (GT) during periodontal surgery, extraction sockets (ST) and extracted root surfaces (RT) during tooth extraction-while the excised pocket wall (PT) from surgical sites served as the control for diseased tissues. These samples underwent 16S rRNA sequencing, single-cell sequencing and histological assessment.
Results: GT and PT exhibited periodontal health-associated, commensal-enriched bacteriome profiles, while RT and ST showed worse local periodontal condition, enriched periodontopathogens but depleted commensals. Notably, GT contained a higher proportion of mesenchymal stem cells (MSCs) and fibroblasts while fewer natural killer cells than in PT and ST. Pseudotime trajectory analysis revealed endothelial and epithelial differentiation fates from mesenchymal progenitors across tissues. Moreover, there were less inflammatory infiltration and immunoreactivity of CD4+ and NKG2D+ in GT than in PT and ST.
Conclusions: Our findings suggest potential periodontal health-associated features of GT regarding clinical, bacteriome and cellular attributes. Future translational study is warranted to explore GT as an alternative source of MSCs for periodontal regeneration.
Background: Biological ageing is characterised by a gradual decline in physiological functions, resulting in increased susceptibility to diseases and mortality. We investigated the relationship between edentulism and biological ageing among adults in England.
Methods: Data were drawn from participants in the English Longitudinal Study of Ageing who completed three consecutive biennial waves (waves 2-3-4 or 4-5-6), yielding 1889 individuals providing 2390 three-wave panel observations (mean age at baseline 68.1; men 47.7%). Edentulism was assessed in waves 3 and 5. Biological ageing was estimated using the Klemera and Doubal method, integrating multiple biomarkers assessed in waves 2, 4 and 6. Linear regression with clustered standard errors was employed to evaluate the association between edentulism and biological age in the subsequent wave (i.e., 2 years after the assessment of edentulism). Models were adjusted for pre-exposure confounders, including biological age, gender, socioeconomic status, existing health conditions and functional limitation assessed in the prior wave (i.e., 2 years before the assessment of edentulism).
Results: Participants with edentulism exhibited a 5.8-year greater biological age than those with some remaining teeth in the subsequent waves. After adjusting for confounding variables, edentulism was associated with a 0.82-year greater biological age than those with some remaining teeth (95% confidence interval: 0.40-1.24) in the subsequent waves.
Conclusion: Edentulism was longitudinally associated with a greater biological age. Strategies that incorporate oral health promotion, particularly the prevention of tooth loss, may contribute to healthy ageing.
Aim(s): This cross-sectional clinical study aimed to explore the untargeted metabolomic and lipidomic profiles in gingival crevicular fluid (GCF) obtained from healthy individuals and patients with periodontitis.
Materials and methods: GCF was collected from 17 periodontally healthy and 19 periodontitis patients. For the unbiased characterisation of positively and negatively charged polar metabolite and lipid compounds, we employed hydrophilic interaction and reversed-phase liquid chromatography/mass spectrometry platforms, followed by a semisupervised deep learning-based approach for metabolomic peak curation and data analysis.
Results: A total of 256 metabolites were identified with Metabolomics Standards Initiative (MSI) confidence Levels 1-3, including 198 elevated and 58 diminished compounds in periodontal lesions (q < 0.05, |log2-transformed Fold Change (FC)| > 1). Periodontitis samples exhibited a significant positive accumulation of purine degradation and ceramide metabolites, along with a negative regulation of oxy fatty acids metabolism. Additionally, we observed a significant increase in established periodontitis biomarkers, including N-acetylneuraminic acid, citrulline and 2-pyrrolidineacetic acid. The study also characterised distinct differences in bacterial and fungal metabolite profiles between the healthy and diseased samples.
Conclusions: These findings suggest that untargeted metabolomic screening of GCF may significantly improve our understanding of biochemical changes between healthy tissue and periodontitis. This knowledge is pivotal for the development of a precision paradigm in periodontitis.

