A good integration of dental implants and the surrounding soft tissue is essential to ensure the long-term effect of implant. In this review, we summarized the research progress of peri-implant soft tissue integration of dental titanium implants, with emphasis on the modification of the gingival interface of implants based on immune microenvironment regulation. This method influences the immune response around the implant by promoting the surface properties of implants, so as to enhance the peri-implant soft tissue integration. The purpose of this review is to provide reference for the related research and clinical application in the field of dental implantation.

Objective:To evaluate the effects of fluorinated porcine hydroxyapatite (FPHA) on guided bone regeneration of peri-implant buccal bone defects in canine mandible.Methods:Six male beagle dogs were randomly divided into two groups with different time points (4 weeks and 12 weeks after implants placement), with 3 dogs in each group. Bilateral mandibular second premolars, first molars, and second molars in each dog were extracted. The wounds were allowed to heal for 12 weeks. For each dog, four implant beds were prepared in each side and standardized peri-implant buccal bone defect was created at each implant site. After implants placement, the defect sites were randomly allocated in a split-mouth design to blank control group, deproteinized bovine bone mineral (DBBM), the porcine hydroxyapatite (PHA), FPHA and covered with collagen membranes. The animals were sacrificed 4 or 12 weeks after the surgery. Biopsies of the implant sites were obtained for micro-CT evaluation [bone volume fraction (BV/TV) and bone trabecular separation degree (Tb.Sp)] and histological analysis.Results:Micro-CT results showed that 4 weeks after implants placement, PHA, FPHA and DBBM successfully maintained the contour of alveolar ridge at the buccal aspect of the implants, while the contour of alveolar ridge collapsed in the blank control group. BV/TV in the FPHA group [(24.77±2.20) %] was significantly higher than that in the PHA group [(16.89±1.70)%] and DBBM group [(15.68±3.15)%] ( P<0.05). Tb.Sp in the FPHA group (0.70±0.07) was significantly lower than that in the DBBM group (1.03±0.19) ( P<0.05). Twelve weeks after implants placement, the alveolar ridge contour of the grafted sites in PHA, FPHA and DBBM group remained stable. The alveolar ridge of the blank control group was still collapsed. There was no significant difference in BV/TV and Tb.Sp between PHA group, FPHA group and DBBM group. The histomorphological analysis showed that 4 weeks after implants placement, in the central area of the defect, the amount and maturity of new bone (NB) around the material particles in FPHA group was higher than that in PHA group and DBBM group. Osseointegration could be observed between the NB and implant surface in all the four groups. Twelve weeks after implants placement, the material particles were surrounded by a large number of mature NB in PHA, FPHA and DBBM group. Conclusions:The incorporation of fluoride ion into PHA could effectively promote the repair of peri-implant bone defects in the early stage of guided bone regeneration.

The oral implant surgery robot could achieved basic "surgical operation intelligence"; however, "decision-making artificial intelligence" has not yet been achieved. The author previously discussed the specific concept of decision-making artificial intelligence. During our exploration of decision-making artificial intelligence, our team further integrated the clinical diagnosis and treatment process of oral implantation, along with the data characteristics of decision indicators and the distribution characteristics of demographic information. As a result, we identified five key scientific and technological issues in the process of decision-making artificial intelligence, namely the construction of a specialized annotation database for oral implantation, the prediction of quantitative indicators, the application of three-dimensional imaging, the solution of data imbalance within indicators, and the joint output of multi-property and multimodal indicators in clinical pathways. This paper will review artificial intelligence research in oral implantology and our team′s research progress, elaborating on the aforementioned challenges in intelligentization. It aims to provide references for addressing the mentioned scientific issues and guiding future research directions in the construction of decision-making artificial intelligence in oral medicine.

At present, implant surgery robots have basically achieved "surgical intelligence", but "brain-inspired intelligence" of robots is still in the stage of theory and exploration. The formulation of a clinical implantation plan depends on the timing of implantation, implantation area, bone condition, surgical procedure, patient factors, etc., which need to evaluate the corresponding clinical decision indicators and clinical pathways. Inspired by evidence-based medicine and the potential of big data and deep learning, combined with the data characteristics of clinical decision indicators and clinical pathways that can be quantitatively or qualitatively analyzed, this review simulates the cognitive behavior and neural mechanisms of the human brain and proposes a feasible brain-inspired intelligence scheme by predicting the decision indices and executing clinical pathways intelligently, that is, "select clinical indicators and clarify clinical pathways -- construct database -- use deep learning to intelligently predict decision indicators -- intelligent execution of clinical pathways -- brain-inspired intelligence of implant decision-making". Combined with the previous research results of our team, this review also describes the process of realization of brain-inspired intelligence for immediate implant timing decisions, providing an example of the comprehensive realization of brain-inspired intelligence of implant surgery robots in the future. In the future, how to excavate and summarize other clinical decision factors and select the best way to realize the automatic prediction of evidence-based clinical indicators and pathways and finally realize the complete intellectualization of clinical diagnosis and treatment processes will be one of the directions that dental clinicians need to strive for.

Guided bone regeneration technology applied in alveolar bone defect regeneration is based on the barrier function and space maintenance of the barrier membrane. Therefore, traditional development strategies for barrier membranes focus on their physical barrier function, degradation characteristics and biocompatibility to avoid immunogenicity. However, not only does the barrier membrane passively block connective tissue, it is recognized as a “foreign body”that triggers a persistent host immune response, known as a foreign body reaction. The theories of osteoimmunology reveal a close relationship between the immune system and bone system and emphasize the role of immune cells in bone tissue-related pathophysiological processes. Based on these findings, we propose a novel development strategy for barrier membranes based on immune microenvironment regulation: by manipulating mechanical properties, surface properties and physiochemical properties, barrier membranes are endowed with an improved immunomodulation ability, which helps to regulate immune cell reactions to induce a favorable local immune microenvironment, thus coordinating osteogenesis and osteoclastogenesis as well as barrier membrane degradation to increase the efficiency of barrier membranes in GBR applications. In this paper, we review the development of barrier membranes and their close relationship to the immune microenvironment concerning bone regeneration and membrane degradation. Additionally, the outcomes of research on barrier membranes based on the regulation of the immune microenvironment have been summarized to improve the osteogenesis efficiency of barrier membranes and solve the problem of the regeneration and repair of bone defects, especially alveolar bone defects.

The aim of this experiment is to investigate the mechanism of liver cell damage induced by nonylphenol(NP).After establishing an in vitro model of NP induced BRL-3A liver cell injury,changes of oxidative damage markers were evaluated,Fe2+content was determined,the ultrastruc-ture of BRL-3A was observed,and the expression level of iron death marker proteins were deter-mined.The results showed that NP could significantly increase ROS and MDA in BRL-3A cells(P＜0.05);the GSH content,GSH Px activity,and SOD activity were significantly reduced(P＜0.05);the Fe2+content significantly increased(P＜0.05)and showed a dose-dependent effect;the mitochondrial volume of BRL-3A cells significantly decreases,the mitochondrial cristae break or e-ven disappear,and some mitochondria show vacuolization;the expression levels of iron homeostasis related proteins TFR1 and FTH1 were significantly reduced(P＜0.05).The results indicate that ferroptosis is involved in the mechanism of NP induced liver cell damage,which bene-fits for further exploration of NP pathogenesis.