Comparison of the efficacy of seven non-surgical methods combined with mechanical debridement in peri-implantitis and peri-implant mucositis: A network meta-analysis.

This network meta-analysis aims to compare the clinical efficacy of seven non-surgical therapies for peri-implant disease, including laser treatment, photobiomodulation therapy (PBMT), photodynamic therapy (PDT), systemic antibiotics (SA), probiotics, local antimicrobials (LA), and air-powder polishing (APP) combined with mechanical debridement (MD). We conducted searches in four electronic databases, namely PubMed, Embase, Web of Science, and The Cochrane Library, to identify randomized controlled trials of non-surgical treatments combined with MD for individuals (aged at least 18 years) diagnosed with peri-implantitis or peri-implant mucositis with a minimum of 3 months follow-up. The outcomes of the study were the reduction in pocket probing depth (PPD) and bleeding on probing (BoP), plaque index (PLI), clinical attachment level (CAL), and marginal bone loss (MBL). We employed a frequency random effects network meta-analysis model to combine the effect sizes of the trials using standardized mean difference (SMD) and 95% confidence intervals (CIs). Network meta-analyses include network plots, paired comparison forest plots, league tables, funnel plots, surface under the cumulative ranking area (SUCRA) plots, and sensitivity analysis plots. The results showed that, for peri-implantitis, PBMT +MD demonstrated the highest effect in improving PPD (SUCRA = 75.3%), SA +MD showed the highest effect in improving CAL (SUCRA = 87.4%, SMD = 2.20, and 95% CI: 0.38 to 4.02) and MBL (SUCRA = 99.9%, SMD = 3.92, and 95% CI. 2.90 to 4.93), compared to MD alone. For peri-implant mucositis, probiotics +MD demonstrated the highest effect in improving PPD (SUCRA = 100%) and PLI (SUCRA = 83.2%), SA +MD showed the highest effect in improving BoP (SUCRA = 88.1%, SMD = 0.77, and 95% CI: 0.27 to 1.28), compared to MD alone. Despite the ranking established by our study in the treatment of peri-implant disease, decisions should still be made with reference to the latest treatment guidelines. There is still a need for more high-quality studies to provide conclusive evidence and especially a need for studies regarding direct comparisons between multiple treatment options.

Leveraging genetics to investigate causal effects of immune cell phenotypes in periodontitis: a mendelian randomization study.

Introduction: Immune cells are dynamic in the inflammatory environment and play a key role in eradicating periodontal pathogens, modulating immune responses, and instigating tissue destruction. Identifying specific immune cell phenotypes associated with periodontitis risk is essential for targeted immunotherapeutic interventions. However, the role of certain specific immune cell phenotypes in the development of periodontitis is unknown. Mendelian randomization offers a novel approach to reveal causality and address potential confounding factors through genetic instruments. Methods: This two-sample Mendelian randomization study assessed the causal relationship between 731 immune cell phenotypes and periodontitis using the inverse variance weighting method with the GWAS catalog genetic database. Methodological robustness was ensured through Cochran's Q test, MR-Egger regression, MR-PRESSO, and Leave-One-Out analysis. Results: 14 immune cell phenotypes showed potential positive causal associations with periodontitis risk (p < 0.05), suggesting an increased risk, while 11 immune cell phenotypes exhibited potential negative causal associations (p < 0.05), indicating a reduced risk. No significant heterogeneity or pleiotropy was observed. Conclusion: This study underscores certain immune cell types as potential periodontitis risk biomarkers, laying a theoretical foundation for future individualized treatment and precision medicine development.

Identification of drug targets for Sjögren's syndrome: multi-omics Mendelian randomization and colocalization analyses.

Background: Targeted therapy for Sjögren's syndrome (SS) has become an important focus for clinicians. Multi-omics-wide Mendelian randomization (MR) analyses have provided new ideas for identifying potential drug targets. Methods: We conducted summary-data-based Mendelian randomization (SMR) analysis to evaluate therapeutic targets associated with SS by integrating DNA methylation, gene expression and protein quantitative trait loci (mQTL, eQTL, and pQTL, respectively). Genetic associations with SS were derived from the FinnGen study (discovery) and the GWAS catalog (replication). Colocalization analyses were employed to determine whether two potentially relevant phenotypes share the same genetic factors in a given region. Moreover, to delve deeper into potential regulation among DNA methylation, gene expression, and protein abundance, we conducted MR analysis to explore the causal relationship between candidate gene methylation and expression, as well as between gene expression and protein abundance. Drug prediction and molecular docking were further employed to validate the pharmacological activity of the candidate drug targets. Results: Upon integrating the multi-omics data, we identified three genes associated with SS risk: TNFAIP3, BTN3A1, and PLAU. The methylation of cg22068371 in BTN3A1 was positively associated with protein levels, consistent with the negative effect of cg22068371 methylation on the risk of SS. Additionally, positive correlations were observed between the gene methylation of PLAU (cg04939496) and expression, as well as between expression and protein levels. This consistency elucidates the promotional effects of PLAU on SS risk at the DNA methylation, gene expression, and protein levels. At the protein level, genetically predicted TNFAIP3 (OR 2.47, 95% CI 1.56-3.92) was positively associated with SS risk, while BTN3A1 (OR 2.96E-03, 95% CI 2.63E-04-3.33E-02) was negatively associated with SS risk. Molecular docking showed stable binding for candidate drugs and target proteins. Conclusion: Our study reveals promising therapeutic targets for the treatment of SS, providing valuable insights into targeted therapy for SS. However, further validation through future experiments is warranted.

Metal Ion-Containing Hydrogels: Synthesis, Properties, and Applications in Bone Tissue Engineering.

Hydrogel, as a unique scaffold material, features a three-dimensional network system that provides conducive conditions for the growth of cells and tissues in bone tissue engineering (BTE). In recent years, it has been discovered that metal ion-containing hybridized hydrogels, synthesized with metal particles as the foundation, exhibit excellent physicochemical properties, osteoinductivity, and osteogenic potential. They offer a wide range of research prospects in the field of BTE. This review provides an overview of the current state and recent advancements in research concerning metal ion-containing hydrogels in the field of BTE. Within materials science, it covers topics such as the binding mechanisms of metal ions within hydrogel networks, the types and fabrication methods of various metal ion-containing hydrogels, and the influence of metal ions on the properties of hydrogels. In the context of BTE, the review delves into the osteogenic mechanisms of various metal ions, the applications of metal ion-containing hydrogels in BTE, and relevant experimental studies in vitro and in vivo. Furthermore, future improvements in bone repair can be anticipated through advancements in bone bionics, exploring interactions between metal ions and the development of a wider range of metal ions and hydrogel types.