Childhood is a critical period for growth and development, and the oral microbiota, as the second most diverse microbial community in the human body, plays a pivotal role in maintaining children's health. Recent studies have demonstrated that dysbiosis of the oral microbiota not only contributes to oral diseases such as dental caries and periodontitis but may also influence the development of children's skeletal, nervous, digestive, cardiovascular, and immune systems through mechanisms involving inflammatory responses, metabolic regulation, and cross-organ communication networks. This review systematically examines the role of the oral microbiota in childhood growth and development and, guided by the core principles of the "active health" model, proposes multiple intervention strategies—including probiotics, xylitol, and mouthwashes—to optimize children's health through early oral microbiota modulation.

Oral health is closely related to systemic health. Common chronic oral diseases, periodontitis and periapical inflammation for example, not only affect the health of oral soft and hard tissues including the alveolar bone and gums, but may also cause changes in systemic conditions such as chronic low-grade inflammation, elevated oxidative stress levels, and dysbiosis of the microbiota. These changes in systemic health can exacerbate the progression of obesity. Therefore, through proactive oral health interventions such as maintaining good oral hygiene habits, modifying dietary structures, and undergoing oral examinations, it is possible to effectively prevent and alleviate inflammatory oral diseases, and actively intervene in obesity. This article delves into the impact of inflammatory oral diseases on obesity and their underlying mechanisms, defines the concept of "oral proactive healthcare", and systematically summarizes their preventive and therapeutic effects on inflammatory oral diseases, thereby demonstrating the potential of improving obesity through proactive oral health strategies.

To analyze the effects of tooth brushing frequency on blood indicators among adolescents and to preliminarily explore the effects of tooth brushing frequency on general health.

Nanomaterial-based drug sustainable release systems have been tentatively applied to bone regeneration. They, however, still face disadvantages of high toxicity, low biocompatibility, and low drug-load capacity. In view of the low toxicity and high biocompatibility of polymer nanomaterials and the excellent load capacity of hollow nanomaterials with high specific surface area, we evaluated the hollow polydopamine nanoparticles (HPDA NPs), in order to find an optimal system to effectively deliver the osteogenic drugs to improve treatment of bone defect. Data demonstrated that the HPDA NPs synthesized herein could efficiently load four types of osteogenic drugs and the drugs can effectively release from the HPDA NPs for a relatively longer time in vitro and in vivo with low toxicity and high biocompatibility. Results of qRT-PCR, ALP, and alizarin red S staining showed that drugs released from the HPDA NPs could promote osteogenic differentiation and proliferation of rat bone marrow mesenchymal stem cells (rBMSCs) in vitro. Image data from micro-CT and H&E staining showed that all four osteogenic drugs released from the HPDA NPs effectively promoted bone regeneration in the defect of tooth extraction fossa in vivo, especially tacrolimus. These results suggest that the HPDA NPs, the biodegradable hollow polymer nanoparticles with high drug load rate and sustainable release ability, have good prospect to treat the bone defect in future clinical practice.
Animals ; Bone Regeneration ; Indoles ; Nanoparticles ; Osteogenesis ; Pharmaceutical Preparations ; Polymers ; Rats

Objective:To evaluate the performance and the accuracy of surgical robot for mandibular reconstruction based on intelligent surgical planning.Methods:115 CT scanning images of normal mandible (57 males, 48 females, 40.3±9.1 years old, from February 2010 to May 2019) and 115 CT scanning images of mandible with tumor (62 males, 53 females, 55.6±7.2 years old, from March 2008 to August 2019) from Shanghai Ninth People’s Hospital were selected. The surgical robot system including work station, UR robot, optical navigation system, 6 dimensional force senor and surgical instrument. A 3D V-Net for mandible preoperational segmentation from CT scans was proposed and used to segment the mandible of a 54-year-old male patient who received mandible reconstruction with fibular flaps. The machine learning algorithm was used to aid surgical planning for maxillo-mandibular defect by detecting landmarks. The accuracy was defined as the distance between corresponding landmarks on the intact mandible. The robot could locate the target according to surgical planning and perform fibula osteotomy through force-motion control. The CT scanning of limb and head from the patient (male, 54 years old) was used for phantom experiments. 30 osteotomies on 5 3D-priented resin phantom were carried out. The pre- and post-operative images were compared to calculate the accuracy. The descriptive results were in the format of Mean±SD.Results:The average accuracy of V-Net for mandible segmentation was 96.581% and the time cost was less than 30 seconds. The average error of feature points on mandible was (2.24±1.74) mm. The residual length error was (1.02±0.45) mm and angle error was (0.96±0.42) degree in robotic-assisted osteotomy according to 3 cases of phantom experiments. The surgical robot could perform osteotomy safely and steadily within 15 min.Conclusions:Intelligent surgical planning can precisely segment the mandible and determine its landmarks. Robot for mandibular reconstruction can perform fibular osteotomy precisely with the pre-operative planning.

Objective:To evaluate the performance and the accuracy of surgical robot for mandibular reconstruction based on intelligent surgical planning.Methods:115 CT scanning images of normal mandible (57 males, 48 females, 40.3±9.1 years old, from February 2010 to May 2019) and 115 CT scanning images of mandible with tumor (62 males, 53 females, 55.6±7.2 years old, from March 2008 to August 2019) from Shanghai Ninth People’s Hospital were selected. The surgical robot system including work station, UR robot, optical navigation system, 6 dimensional force senor and surgical instrument. A 3D V-Net for mandible preoperational segmentation from CT scans was proposed and used to segment the mandible of a 54-year-old male patient who received mandible reconstruction with fibular flaps. The machine learning algorithm was used to aid surgical planning for maxillo-mandibular defect by detecting landmarks. The accuracy was defined as the distance between corresponding landmarks on the intact mandible. The robot could locate the target according to surgical planning and perform fibula osteotomy through force-motion control. The CT scanning of limb and head from the patient (male, 54 years old) was used for phantom experiments. 30 osteotomies on 5 3D-priented resin phantom were carried out. The pre- and post-operative images were compared to calculate the accuracy. The descriptive results were in the format of Mean±SD.Results:The average accuracy of V-Net for mandible segmentation was 96.581% and the time cost was less than 30 seconds. The average error of feature points on mandible was (2.24±1.74) mm. The residual length error was (1.02±0.45) mm and angle error was (0.96±0.42) degree in robotic-assisted osteotomy according to 3 cases of phantom experiments. The surgical robot could perform osteotomy safely and steadily within 15 min.Conclusions:Intelligent surgical planning can precisely segment the mandible and determine its landmarks. Robot for mandibular reconstruction can perform fibular osteotomy precisely with the pre-operative planning.

Epithelial-mesenchymal transition (EMT) is involved in both physiological and pathological processes. EMT plays an essential role in the invasion, migration and metastasis of tumours. Autophagy has been shown to regulate EMT in a variety of cancers but not in head and neck squamous cell carcinoma (HNSCC). Herein, we investigated whether autophagy also regulates EMT in HNSCC. Analyses of clinical data from three public databases revealed that higher expression of fibronectin-1 (FN1) correlated with poorer prognosis and higher tumour pathological grade in HNSCC. Data from SCC-25 cells demonstrated that rapamycin and Earle's balanced salt solution (EBSS) promoted autophagy, leading to increased FN1 degradation, while 3-methyladenine (3-MA), bafilomycin A1 (Baf A1) and chloroquine (CQ) inhibited autophagy, leading to decreased FN1 degradation. On the other hand, autophagic flux was blocked in BECN1 mutant HNSCC Cal-27 cells, and rapamycin did not promote autophagy in Cal-27 cells; also in addition, FN1 degradation was inhibited. Further, we identified FN1 degradation through the lysosome-dependent degradation pathway using the proteasome inhibitor MG132. Data from immunoprecipitation assays also showed that p62/SQSTM1 participated as an autophagy adapter in the autophagy-lysosome pathway of FN1 degradation. Finally, data from immunoprecipitation assays demonstrated that the interaction between p62 and FN1 was abolished in p62 mutant MCF-7 and A2780 cell lines. These results indicate that autophagy significantly promotes the degradation of FN1. Collectively, our findings clearly suggest that FN1, as a marker of EMT, has adverse effects on HNSCC and elucidate the autophagy-lysosome degradation mechanism of FN1.
Autophagy ; Cell Line, Tumor ; Female ; Fibronectins ; Humans ; Lysosomes/metabolism* ; Ovarian Neoplasms ; Sequestosome-1 Protein/metabolism* ; Squamous Cell Carcinoma of Head and Neck

Objective To observe the effects of Purpura decoction and its disassembled prescriptions on peripheral blood reticulated platelets (RP) and serum thrombopoietin (TPO) of idiopathic thrombocytopenic purpura (ITP) model mice, to explore the action mechanism and core structure of the prescription. Methods Totally 84 BalB/c mice were randomly divided into normal group, model group, prednisone group, Purpura decoction group, Buyi Qixue group, Buqi Huoxue group and Buxue Huoxue group. ITP mouse model was made by injecting intraperitoneally guinea pig-antimouse platelet serum. From the 5th day of modeling, mice were intragastrically administered. The normal group and model group were fed with normal saline 0.2 mL per mouse. Purpura decoction group was fed with Purpura decoction 0.43 mL per mouse. Buyi Qixue group was fed with Buyi Qixue decoction 0.36 mL per mouse. Buqi Huoxue group was fed with Buqi Huoxue decoction 0.27 mL per mouse. Buxue Huoxue group was fed with Buxue Huoxue decoction 0.3 mL per mouse. Prednisone group was fed with prednisone acetate suspension 0.2 mL per mouse. Ten days later, took the blood from the eyeball and isolated serum, the mouse peripheral platelet, RP and TPO were observed. Results After treatment, the platelet count of treatment groups was improved. Compared with before treatment, Purpura decoction group,Buqi Huoxue group and prednisone group had significant difference in platelet count (P<0.05). The RP of model group was significantly higher than the normal group (P<0.05), but RP absolute value was lower than the normal group (P<0.05). Compared with the model group, RP of treatment groups reduced (P<0.05), and RP was negatively correlated with platelet count (P<0.05). TPO level of the model group was higher than that of the normal group (P<0.01). TPO of treatment groups declined significantly, and had significant differences with that of the model group (P<0.05). Conclusion Core structure of Purpura decoction is qi tonifying and blood activating drug. The mechanism of treating ITP is related with lowering RP and TPO.