Correlation between Inflammasomes and Microbiota in Peri-Implantitis.
Miguel Padial-MolinaSaray Montalvo-AcostaNatividad Martin-MoralesVirginia Pérez-CarrascoAntonio Magan-FernándezFrancisco MesaFrancisco O'ValleJose Antonio Garcia-SalcedoPablo Galindo-MorenoPublished in: International journal of molecular sciences (2024)
The activation of inflammasomes is thought to induce the inflammatory process around dental implants. No information is available on the correlation between microbiota and inflammasomes in clinical samples from patients suffering peri-implantitis. For this cross-sectional study, 30 biofilm samples were obtained from 19 patients undergoing surgical treatment for peri-implantitis because of the presence of bleeding on probing, probing depth higher than 6 mm, and radiographic bone loss higher than 3 mm. Then, soft tissue samples from around the implant were also collected. The relative abundance of bacteria and alpha-diversity indexes were calculated after analyzing the 16S rRNA gene using next-generation sequencing. The soft-tissue samples were processed for evaluation of the inflammasomes NLRP3 and AIM2 as well as caspase-1 and IL-1β. The relative abundance (mean (SD)) of specific species indicated that the most abundant species were Porphyromonas gingivalis (10.95 (14.17)%), Fusobacterium vincentii (10.93 (13.18)%), Porphyromonas endodontalis (5.89 (7.23)%), Prevotella oris (3.88 (4.94)%), Treponema denticola (2.91 (3.19)%), and Tannerella forsythia (2.84 (4.15)%). Several correlations were found between the species and the immunohistochemical detection of the inflammasomes NLRP3 and AIM2 as well as caspase-1 and IL-1β, both in the epithelium and the lamina propria. A network analysis found an important cluster of variables formed by NLRP3 in the lamina propria and AIM2, caspase-1, and IL-1β in the lamina propria and the epithelium with Prevotella dentalis , Prevotella tannerae , Tannerella forsythia , or Selenomonas timonae . Thus, it could be concluded that inflammasomes NLRP3 and AIM2 and their downstream effectors caspase-1 and interleukin-1β can be significantly associated with specific bacteria.
Keyphrases
- soft tissue
- cell death
- induced apoptosis
- network analysis
- patients undergoing
- bone loss
- end stage renal disease
- nlrp inflammasome
- ejection fraction
- chronic kidney disease
- pseudomonas aeruginosa
- newly diagnosed
- copy number
- oxidative stress
- staphylococcus aureus
- antibiotic resistance genes
- molecular dynamics simulations
- gene expression
- single molecule
- peritoneal dialysis
- healthcare
- atrial fibrillation
- signaling pathway
- health information
- social media
- quantum dots
- real time pcr
- cell free
- circulating tumor