BACKGROUND:The combination of platelet-rich fibrin and autogenous bone has achieved good results in the treatment of periodontal bone defects,but the study of the combination of the two in the treatment of severe alveolar bone defects is scarce. OBJECTIVE:To observe the effect of autologous bone transplantation plus platelet-rich fibrin on the repair of severe alveolar bone defects. METHODS:A total of 102 patients with severe alveolar bone defects in Hengshui People's Hospital from April 2022 to February 2023 were selected and divided into control and observation groups(n=51 per group)by random number table method.Guided tissue regeneration was performed in both groups.The bone defect was filled with autogenous bone in the control group,and the observation group underwent platelet-rich fibrin+autogenous bone filling for bone defects during the operation.The clinical efficacy,changes in tooth mobility,periodontal microecological environment(probing depth,clinical attachment loss,and bleeding index),height and density of alveolar bone,gingival crevicular fluid indicators(transforming growth factor-β,serine protease inhibitor,and matrix metalloproteinase-3)before and after surgery,as well as adverse reactions were observed between the two groups. RESULTS AND CONCLUSION:Six months after operation,there was no significant difference in treatment efficacy rate between the two groups(P>0.05).At 3 and 6 months after surgery,the levels of tooth mobility,probing depth,clinical attachment loss,and bleeding index in the observation group were lower than those in the control group(P<0.05).At 6 months after surgery,the height of alveolar bone in the observation group was higher than that in the control group(P<0.05).At 3 and 6 months after surgery,the levels of transforming growth factor-β in gingival crevicular fluid in the observation group were higher than those in the control group(P<0.05).At 3 and 6 months after surgery,the levels of serine protease inhibitor and matrix metalloproteinase-3 in the observation group were lower than those in the control group(P<0.05).The results suggest that using platelet-rich fibrin+autogenous bone filling in guided tissue regeneration treatment of patients with severe alveolar bone defects can improve the periodontal microenvironment,reduce gingival tissue inflammation,promote alveolar bone tissue regeneration and repair,and reduce tooth mobility.

Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

Perineural invasion (PNI) by tumor cells is a key phenotype of highly-invasive oral squamous cell carcinoma (OSCC). Since Schwann cells (SCs) and fibroblasts maintain the physiological homeostasis of the peripheral nervous system, and we have focused on cancer-associated fibroblasts (CAFs) for decades, it's imperative to elucidate the impact of CAFs on SCs in PNI⁺ OSCCs. We describe a disease progression-driven shift of PNI^- towards PNI⁺ during the progression of early-stage OSCC (31%, n = 125) to late-stage OSCC (53%, n = 97), characterized by abundant CAFs and nerve demyelination. CAFs inhibited SC proliferation/migration and reduced neurotrophic factors and myelin in vitro, and this involved up-regulated ER stress and decreased MAPK signals. Moreover, CAFs also aggravated the paralysis of the hind limb and PNI in vivo. Unexpectedly, leukemia inhibitory factor (LIF) was exclusively expressed on CAFs and up-regulated in metastatic OSCC. The LIF inhibitor EC330 restored CAF-induced SC inactivation. Thus, OSCC-derived CAFs inactivate SCs to aggravate nerve injury and PNI development.
Schwann Cells/metabolism* ; Mouth Neoplasms/metabolism* ; Humans ; Cancer-Associated Fibroblasts/metabolism* ; Animals ; Carcinoma, Squamous Cell/metabolism* ; Neoplasm Invasiveness/pathology* ; Male ; Female ; Mice ; Cell Movement/physiology* ; Cell Proliferation/physiology* ; Cell Line, Tumor ; Leukemia Inhibitory Factor/metabolism* ; Middle Aged

Objective To evaluate the influence of health education on influenza and pneumonia vaccination in hypertensive and diabetic population. Methods Multi-stage random sampling method was used to select subjects, carry out health education and follow-up, and compare the cognition and vaccination status of diseases and vaccines before and after intervention by themselves. Results Among the 2.45% of subjects were vaccinated with influenza vaccine at the last follow-up after intervention, compared with 0.74% before intervention (P < 0.05), 9.81% of subjects were vaccinated with pneumonia vaccine, compared with 0.49% before intervention (P < 0.05). At the last follow-up after intervention, 2.45% of subjects had received influenza vaccine and 9.81% of subjects had received pneumonia vaccine, with high vaccination rates before intervention (P < 0.05). In 3 follow-up visits after intervention, 32.37%, 41.00% and 38.11% of hypertension and diabetes patients were more likely to suffer from pneumonia, which were higher than 30.36% (P < 0.05). 37.22%, 44.92% and 41.39% thought pneumonia would aggravate hypertension and diabetes, respectively, which were higher than 35.80% (P < 0.05). 40.02%, 52.62% and 50.02% thought vaccination was necessary, respectively, higher than 40.07% before intervention (P < 0.05). Conclusion People with hypertension and diabetes have low cognition, vaccination willingness and vaccination rate of influenza and pneumonia vaccine. Targeted health education interventions can improve the level of knowledge, attitude and practice of vaccination and improve the vaccination rate of the population.

Objective:To discuss the synergistic inhibitory effect of apatinib mesylate(apatinib)combined with radiotherapy(RT)on the hepatocellular carcinoma(HepG2)cells in vitro,and to clarify its related antitumor mechanism.Methods:The HepG2 cells were cultured in vitro and treated with different concentrations of apatinib and/or varying doses of X-rays.MTT method was used to detect the survival rates of the cells in various groups;the inhibitory rates of cell proliferation and the 20％inhibitory concentration(IC20)of apatinib were calculated;the X-ray irradiation dose for subsequent experiments was detected.The HepG2 cells were divided into apatinib group,RT group,and apatinib+RT group(combined group).Flow cytometry was used to detect the apoptotic rates of the cells in various groups;wound healing assay was used to detect the migration rates of the cells in various groups;ELISA method was used to detect the levels of vascular endothelial growth factor(VEGF)in the cell culture supernatant in various groups.Results:The MTT results showed that the IC20 of apatinib was 1.32 μmol·L-1,and this concentration was used for subsequent experiments,and the X-ray irradiation dose for the follow-up experiments was 2 Gy.Compared with control group,the apoptotic rates of the cells in apatinib group and RT group had no significant differences(P＞0.05),while the apoptotic rate of the cells in combined group was increased(P＜0.05).Compared with control group,the migration rates of the cells in apatinib group,RT group,and combined group were decreased(P＜0.05);compared with apatinib group and RT group,the migration rate of the cells in combined group was decreased(P＜0.05).Compared with control group,the levels of VEGF in the cell culture supernatant in apatinib group and combined group were decreased(P＜0.05);compared with apatinib and RT group,the level of VEGF in the cell culture supernatant in combined group was decreased(P＜0.05).Conclusion:Apatinib combined with radiotherapy significantly inhibits the proliferation and migration of the HepG2 cells in vitro and induces the apoptosis;its effect may be related to the inhibition of VEGF secretion by cells.

Objective: To investigate the effects of lactoprotein iron chelates on rats with iron deficiency anaemia (IDA), so as to provide insights into developing and utilizing novel iron supplements. Methods: Seventy weaning female SPF-graded rats of the SD strain were randomly divided into the control group (A), model group (B), ferrous sulfate group (C), lactoferrin group (D), lactoferrin iron chelate group (E), Casein oligopeptide iron chelate group (F) and whey protein oligopeptide iron chelate group (G), with 10 rats in each group. The rats in group A were fed with normal diet, and the others were fed with poor iron diet for IDA modeling. The corresponding interventions were given by intragastric administration once a day. The iron ion concentrations of group C, E, F and G were 2.0 mg/kg, and the protein and oligopeptide concentrations of group D, E, F and G were 2 000 mg/kg. Body weight and hemoglobin of rats were measured weekly during 21-day intervention. At the end, peripheral blood samples were collected, and blood routine, iron metabolism and liver function indicators were determined. Results: After the intervention, among blood routine indicators, the rats in group C, E, F and G showed elevated hemoglobin, red blood cell, mean corpuscular volume and hematocrit, and decreased free protoporphyrin and mean corpuscular hemoglobin concentration when compared with the rats in group B (all P<0.05); among iron metabolism indicators, the rats in group C, E and G showed elevated serum ferritin, the rats in group C, E, F and G showed elevated serum iron, the rats in group C, D, E, F and G showed decreased unsaturated iron binding capacity and total iron binding capacity when compared with the rats in group B (all P<0.05); among liver function indicators, the rats in group E and G showed decreased alanine transaminase when compared with the rats in group B (both P<0.05). Conclusions Lactoprotein alone could not completely improve IDA in rats compared with traditional iron supplement (ferrous sulfate). Lactoprotein iron chelate, especially whey protein oligopeptide iron chelate, could significantly improve IDA, iron reserve and liver function damage in rats.

The traditional-immunological strategies for clinical laboratories often rely on large and expensive instruments and skilled operators, and the measurement time is also long. However, the sensitivity of these strategies is still unsatisfactory. It is urgent to research and develop the point-of-care testing (POCT) featured as a highly sensitive, accurate, and rapid/POCT diagnosis. The Microfluidic chips have multi-advantages that are suitable for the clinical POCT diagnosis: high sensitivity, throughput, and automation. Recently, the Microfluidic-immune chips developed based on the microfluidic technology combined with immune detection have considered not only hotspots in the related research but also benefit to the tumor marker detection, antigen and antibody detection of infectious diseases, autoantibody detection, hormone detection, and other fields. However, there are still many challenges to be overcome during the application of chips, such as more effective microfluidic manipulation, more sensitive collection, and analysis of reaction signals.

Objective:To analyze and screen the key genes of sepsis secondary to pulmonary infection by bioinformatics, and to provide theoretical basis for the basic research of the disease and find an ideal animal model program.Methods:Experiment 1 (bioinformatics analysis): gene expression data sets of pulmonary infection secondary sepsis patients and multiple sepsis animal models were screened by Gene Expression Omnibus (GEO) Database, and gene differences were analyzed by R software. Differential genes were analyzed by gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis was conducted between differential genes and clinical symptoms in the data set of pulmonary infection secondary sepsis, and the correlation heat map between differential genes and clinical symptoms was drawn. Key genes were screened by weighted gene co-expression network analysis (WGCNA) and protein-protein interaction network analysis (PPIN) clustering. Experiment 2 (sepsis animal model preparation): male mice weighing 21-25 g were randomly divided into the key genes group and the control (Sham) group. And cecal ligation and puncture (CLP) was used to establish mouse sepsis model, while the mice in sham group were performed by exposure of cecum. And all the mice were scarified 24 hours after surgery to extract the total RNA from lung tissue, real time fluorescent quantitative polymerase chain reaction (RT-qPCR) was used to detect mRNA expression of key genes.Results:Experiment 1 (bioinformatics analysis): 319 differential genes were showed by GSE 134364 and GSE 65682 data set analysis of pulmonary infection secondary sepsis. And there was no genetic difference between community acquired pneumonia (CAP) and hospital acquired pneumonia (HAP) in patients with pulmonary infection secondary to sepsis. Obvious differences existed between differential genes in animal models, and there was no common differential gene. Differential genes in patients and animal models were similarly enriched in GO function, mainly in cell differentiation, regulation of cell process, and regulation of cellular response to stimuli, there were significant differences in pathway enrichment, among which, CLP animal models showed higher consistency with patients. The key genes obtained by WGCNA and PPIN analysis were MAPK14, NLRC4 and LCN2. Experiment 2 (sepsis animal model preparation): animal experiment results showed that the mRNA expressions of MAPK14, NLRC4 and LCN2 in lung tissue of CLP model mice were significantly up-regulated compared with the sham group.Conclusions:MAPK14, NLRC4 and LCN2 are key genes involved in the regulation of biological processes of pulmonary sepsis secondary to infection, and are potential research directions of this disease. What's more, CLP animal model can better reflect the biological characteristics of patients with pulmonary infection secondary sepsis, and is one of the ideal animal model schemes for pulmonary infection secondary sepsis.

Objective:To investigate the risk factors of pancreatic fistula after radical resection of gastric cancer, and to establish a risk prediction scoring model for pancreatic fistula.Methods:The clinico-pathological data of 312 patients with gastric cancer admitted to the Fourth Hospital of Hebei Medical University from January 2019 to January 2020 were retrospectively analyzed. Multiple factor logistic regression model was used to analyze the risk factors of pancreatic fistula after radical resection of gastric cancer, and a risk prediction scoring model based on the risk factors was established. Hosmer-Lemeshow test was used to detect the goodness of fit of regression equation, and receiver operating characteristics (ROC) curve was used to evaluate the distinction degree of regression equation.Results:Among 312 patients with gastric cancer, 27 cases (8.65%) had pancreatic fistula after radical resection of gastric cancer. Multiple factor logistic regression analysis showed that male patients ( OR = 5.312, 95% CI 1.532-18.420, P = 0.008), age ≥ 60 years old ( OR = 4.928, 95% CI 1.493-16.250, P = 0.009), preoperative diabetes mellitus ( OR = 3.062, 95% CI 1.091-8.589, P = 0.034), lesion location in the gastric body-gastric antrum ( OR = 3.121, 95% CI 1.052-9.251, P = 0.040), intraoperative omental bursa resection ( OR = 6.209, 95% CI 2.084-18.478, P = 0.001), intraoperative lymph node dissection at D2+ station ( OR = 3.114, 95% CI 1.044-9.281, P = 0.042), intraoperative combined organ resection ( OR = 5.063, 95% CI 1.473-17.400, P = 0.010), preoperative TNM stage Ⅲ ( OR = 4.973, 95% CI 1.189-20.792, P = 0.028) were independent risk factors for pancreatic fistula after radical resection of gastric cancer. A risk prediction equation of pancreatic fistula after radical resection of patients with gastric cancer was established: P = -8.619+1.670X 1+1.595X 2+1.119X 3+1.138X 4+1.826X 5+1.136X 6+1.622X 7+1.604X 8; factor X was set as a binomial assignment (0 or 1); X1-X8 were listed as follows respectively: gender (the male was 1), age (≥60 years old was 1), preoperative diabetes history (yes was 1), lesion location (gastric body-gastric antrum was 1), intraoperative resection of omental bursa or not (yes was 1), intraoperative lymph node dissection at D2+ station or not (yes was 1), intraoperative combined organ resection or not (yes was 1), preoperative TNM stage (stage Ⅲ was 1). The goodness of fit of regression equation was high ( P = 0.395). The area under the curve of ROC by using risk prediction scoring model to judge pancreatic fistula was 0.916 (95% CI 0.872-0.960, P<0.01). The probability of pancreatic fistula in patients with score ≥ 5 was 40.90%, and the probability of pancreatic fistula in patients with score < 5 was 3.35%. Conclusions:The occurrence of pancreatic fistula after radical resection of gastric cancer is closely related to a variety of risk factors. By establishing a risk prediction scoring model for pancreatic fistula after radical resection of gastric cancer, it is helpful to effectively identify patients with high risk of pancreatic fistula after radical surgery during the perioperative period.

Objective To explore the correlation between social support and pregnancy depression in Shenzhen. Methods From August 2018 and June 2020, a structured questionnaire survey was conducted among pregnant women who underwent pregnancy examination in a 3A-grade maternal & child health care hospital. A total of 1 396 questionnaires with complete information were collected. Chi-square test and Wilcoxon rank sum test were used to analyze the baseline characteristics. The odds ratio (OR) and 95% CI confidence interval between social support and pregnancy depression were estimated using logistics regression model. Subgroup analysis was also conducted. Results There were statistically significant differences in education level, medical insurance rate, household registration, family monthly income, proportion of multiparas, proportion of husbands being the only child, pregnancy stress and social support between the depression group and non-depression group. After multi-factors adjustment, the OR (95% CI) of the total social support score was 0.97(95%CI 0.95-0.99), the OR (95% CI) of the objective support dimension was 0.90(95% CI 0.87-0.94), and the P value of the interaction term multiplied by pregnancy term was less than 0.05. According to the stratified analysis of pregnancy, the total score of social support was significantly correlated with the depression status only in the third trimester, with an OR (95% CI) of 0.97 (95% CI 0.94-0.99). The objective support dimension was significantly correlated with depression status in the first and third trimesters, and the OR (95% CI) was 0.78 (95% CI 0.61-0.99) and 0.89 (95% CI 0.84-0.94), respectively. The OR of support utilization score in the third trimester was 0.91 (95% CI 0.83-0.99). Conclusion Social support was negatively correlated with depression during pregnancy and was particularly important in the third trimester. Various dimensions of social support were differentially correlated with pregnancy depression in each trimester. The objective support dimension was particularly important in the first and third trimesters.