The efficacy of root canal therapy, as a core intervention for endodontic and periapical diseases, is highly dependent on the effectiveness of antimicrobial drugs. Although traditional drugs such as calcium hydroxide, chlorhexidine, and antibiotic pastes commonly used in the clinic play a role in preventing and controlling infections, they have obvious limitations. These drugs influence the mechanical properties of dentin, insufficiently solubilize necrotic tissues, and are susceptible to bacterial resistance, which makes achieving the desired effectiveness and safety difficult. Traditional macromolecular root canal drugs also face the challenge of the complexity of the root canal system. With the rapid development of material science in recent years, new antimicrobial agents have emerged. Metallic nanomaterials such as silver nanoparticles and zinc oxide nanoparticles are widely used in the medical field due to their unique physicochemical properties and superior antimicrobial properties. Chitosan nanoparticles have superior biosafety, calcium hydroxide nanoparticles compensate for the limitations of traditional calcium hydroxide formulations, and quaternary ammonium polyethyleneimine nanoparticles can confer antimicrobial properties to existing oral materials. Novel antimicrobial nanoparticles using nano-delivery systems, such as mesoporous calcium silicate and mesoporous silica, carry antimicrobial molecules with significant advantages in terms of anti-biofilm, biosafety, and promotion of tissue repair. Further, these agents reduce drug resistance, which improves prospects for application compared to traditional root canal disinfection drugs. The breakthrough of nanotechnology provides a novel direction for the innovation of root canal treatment drugs. Therefore, this paper reviews the research progress of nano-antimicrobial materials in root canal therapy.

Animal experiments are essential tools in biomedical research, serving as a bridge between basic research and clinical trials. Systematic reviews and meta-analyses (SRs/MAs) of animal experiments are crucial methods for integrating evidence from animal experiment, which can facilitate the translation of findings into clinical research, reduce translational risks, and promote resource integration in basic research. With the continuous development of the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology, its application in SRs/MAs of animal experiments has gained increasing attention. This article first outlines the principles and specific applications of the GRADE methodology in SRs/MAs of animal experiments, including qualitative descriptive systematic reviews, meta-analyses, and network meta-analyses. It then deeply analyzes the misuse of the GRADE methodology in practice, including incorrect evidence grading, improper classification of evidence, misapplication in qualitative systematic reviews, inconsistencies between the documentation of the upgrading and downgrading process and results, and inappropriate use for making recommendations. Furthermore, this article comprehensively discusses the factors influencing the grading of evidence certainty in SRs/MAs of animal experiments, including the impact of bias risk, indirectness, inconsistency, imprecision, and publication bias on evidence downgrading, as well as the role of large effect sizes and cross-species consistency in evidence upgrading. Finally, in response to the issues discussed, improvement strategies are proposed, including further research and optimization of the GRADE methodology for SRs/MAs of animal experiments, the development of reporting guidelines tailored to the characteristics of SRs/MAs in animal experiment research, and enhanced professional training for researchers in the GRADE methodology. This article aims to improve the quality of evidence in SRs/MAs of animal experiments, strengthen their reliability in clinical decision-making, and promote the more efficient translation of findings from animal experiment research into clinical practice.

Objective: To investigate the recreational use status of electronic products among high school students in Shanxi Province and the influencing factors for excessive use, so as to provide insights into the promotion of rational use of electronic products among high school students. Methods: The high school students from 117 schools in Shanxi Province were selected using the stratified random sampling method, and basic information, lifestyle behaviors and recreational use of electronic products were collected using questionnaire surveys. The prevalence of excessive recreational use of electronic products was analyzed, and the factors affecting excessive recreational use of electronic products among high school students were analyzed using a multivariable logistic regression model. Results: A total of 13 804 valid questionnaires were recoverd, with an effective rate of 98.32%. There were 6 634 males (48.06%) and 7 170 females (51.94%), with a median age of 17.00 (interquartile range, 1.00) years. There were 7 024 students in Grade One (50.88%) and 6 780 students in Grade Two (49.12%). The prevalence of recreational use of electronic products was 14.18% (1 958 cases). Multivariable logistic regression analysis showed that males (OR=1.461, 95%CI: 1.325-1.611), students in Grade Two (OR=1.720, 95%CI: 1.559-1.897), students whose parents had below high school education (OR=1.391, 95%CI: 1.156-1.674), students without parental support (OR=1.281, 95%CI: 1.078-1.523), students not living on campus (OR=1.142, 95%CI: 1.026-1.271), students without myopia (OR=1.121, 95%CI: 1.008-1.248), and students with sufficient sleep (OR=1.162, 95%CI: 1.054-1.281) had a higher risk of excessive recreational use of electronic products. Conclusion The prevalence of excessive recreational use of electronic products among high school students in Shanxi Province was relatively high, which was related to gender, grade, parental education, parental attitudes, boarding status, myopia and sleep quality.

Purpose/Significance To conduct the real world research on the application and impact of artificial intelligence(AI)technology in medical institutions,and to assist in intelligent governance decision-making in the field of medicine and health.Method/Process Taking Peking University Third Hospital as the research scene,the AI medical social experiment is carried out through literature meta-analysis,knowledge graph construction and mixed methodology research.Result/Conclusion Scholars at home and abroad are cautious and optimistic about the application of AI technology in the field of health.The research,development and application of AI technology in domestic public hospitals are very active,but small-scale field studies suggest that AI technology may lead to problems such as misleading decision-making and weakening of human subjectivity while improving the efficiency of diagnosis and treatment.In-telligent governance in the field of health,represented by AI technology,requires a long period and a wide range of sociological observa-tions.It is recommended to build a research base for medical AI technology R&D and supervision based on public hospitals,and continue to pay attention to issues such as human subjectivity,medical ethics and scientific and technological ethics in AI social governance.

Objective:To investigate the relationship between serum miR-501 and miR-195 levels and sensitivity to concurrent chemoradiotherapy in patients with locally advanced cervical cancer (LACC).Methods:Clinical data of 96 patients with LACC admitted to Nanyang Central Hospital from January 2020 to June 2022 were retrospectively analyzed and compared with those of 96 healthy subjects during physical examination in our hospital during the same period to compare the differences of serum miR-501 and miR-195 levels. Tumor status was reviewed at 6 months after concurrent chemoradiotherapy. Patients were divided into the sensitive and resistant groups according to the evaluation criteria of solid tumor efficacy. The relationship between serum miR-501 and miR-195 levels and the sensitivity to concurrent chemoradiotherapy in LACC patients was analyzed by univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was also drawn to predict differential efficacy of concurrent chemoradiotherapy sensitivity in LACC patients. Multivariate analysis was conducted by binary logistic regression analysis. P<0.05 indicated statistically significant differences. Results:In LACC patients, serum miR-501 level was significantly higher, whereas serum miR-195 level was significantly lower than those in physical examination subjects (both P<0.05). Univariate analysis showed that serum miR-501 level at admission in the resistant group was significantly higher, whereas serum miR-195 level was significantly lower than those in the sensitive group (both P<0.05). Multivariate analysis showed that serum miR-501 and miR-195 levels were significantly correlated with the sensitivity to concurrent chemoradiotherapy in LACC patients. The area under the ROC curve (AUC) was 0.736 and 0.913, respectively. Conclusions:The higher the serum miR-501 level and the lower the serum miR-195 level before treatment, the higher the probability of resistance to concurrent chemoradiotherapy in LACC patients. Serum miR-501 and miR-195 levels of LACC patients before treatment have certain predictive value for the sensitivity to concurrent chemoradiotherapy.

Objective:To compare the diagnostic efficacy of 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT, 18F-FDG PET/CT and multi-parameter MRI (mpMRI) in prostate cancer (PCa). Methods:Retrospective analysis was conducted on data from 22 patients ((72.6±6.2) years) with pathologically confirmed PCa in the Affiliated Taizhou People′s Hospital of Nanjing Medical University between April 2021 and September 2022. All patients underwent 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI examination within 30 d, and the imaging parameters were collected, including PSMA-SUV max, FDG-SUV max, minimum apparent diffusion coefficient (ADC min), mean apparent diffusion coefficient (ADC mean), PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, FDG-SUV max/ADC min, FDG-SUV max/ADC mean. Patients were divided into groups based on the International Society of Urological Pathology (ISUP) grading (≤3 vs >3) and serum total prostate specific antigen (TPSA; ≤20 μg/L vs >20 μg/L), and differences of imaging parameters between groups were compared (Mann-Whitney U test or independent-sample t test). ROC curves were generated to evaluate the diagnostic ability of each parameter for different levels of PCa. χ2 test and ROC curve analysis were used to compare the detection rate and diagnostic efficiency of three imaging methods for primary focus, lymph node metastasis, and bone metastasis in PCa. Results:Differences were found between ISUP≤3 ( n=6) and >3 ( n=16) groups in PSMA-SUV max/ADC min, PSMA-SUV max/ADC mean, PSMA-SUV max, and ADC min ( z values: from -2.65 to -2.36, t=3.60, P values: 0.002-0.018). But there was no significant difference found between TPSA≤20 μg/L ( n=5) and >20 μg/L ( n=17) groups in all indices ( z values: from -1.76 to -1.45, t values: -1.19 and 1.28, all P>0.05). The optimal cut-off value for PSMA-SUV max/ADC min in differentiating high-grade and low-grade PCa was determined to be 22.628×10 3. In the patient-based analysis, no statistical difference was found in the detection rate of PCa primary tumors among 18F-PSMA-1007 PET/CT, 18F-FDG PET/CT, and mpMRI ( χ2=1.91, P=0.767). However, the detection rates of lymph node and bone metastasis among three imaging methods were significantly different (72.73%(16/22), 59.09%(13/22), 36.36%(8/22) and 81.82%(18/22), 63.64%(14/22), 45.45%(10/22); χ2 values: 6.03, 6.29; P values: 0.049, 0.043). 18F-PSMA-1007 PET/CT resulted in a 36.36%(8/22) increase in N stage and the 40.91%(9/22) increase in M stage compared to mpMRI. Conclusions:PSMA-SUV max/ADC min is a valuable parameter for differentiating high-grade and low-grade PCa. 18F-PSMA-1007 PET/CT demonstrates superior detection rate of PCa lymph node and bone metastasis compared to 18F-FDG PET/CT and mpMRI, and exhibits higher diagnostic efficiency, so it can be recommended for NM staging in patients with PCa.

Objective:To analyze the clinical characteristics of intracranial infection caused by Mycobacterium lentiflavum. Methods:The clinical data of a patient with intracranial infection caused by Mycobacterium lentiflavum admitted to Tianjin Haihe Hospital in May 2023 were collected. Meanwhile relevant literatures in databases were searched. Only 1 English literature (1 patient) was obtained. The clinical characteristics of this patient and the case reported in the literature were analyzed and summarized. Results:Totally 2 patients, including this case, and the patient with meningoencephalitis caused by Mycobacterium lentiflavum reported in the literature, both are females, 42 and 55 years old respectively, both manifested a chronic course, without fever, and presented progressive headache and cognitive impairment. Clinical manifestations also included abnormal mental behavior, limb weakness, and seizure. At the early stage, only intracranial pressure increased, and cerebrospinal fluid tests were negative. As the disease aggravated, there was an elevation of cerebrospinal fluid cells and protein, with normal levels of glucose and chloride. Using brain tissue obtained by biopsy for polymerase chain reaction or next-generation sequencing examination, the pathogenic microorganism was confirmed, which made accurate diagnosis possible. Antibiotic treatment had good efficacy, with a long treatment course and a good prognosis. Conclusions:Central nervous system infection caused by Mycobacterium lentiflavum is very rare, and a chronic disease course makes diagnosis very difficult. The treatment effect is significant, and the prognosis is excellent.

Objective:To explore the clinical application pathway of the CT generative adversarial networks (CTGANs) algorithm in mandibular reconstruction surgery, aiming to provide a valuable reference for this procedure.Methods:A clinical exploratory study was conducted, 27 patients who visited the Department of Oral and Maxillofacial Surgery, Xiangya Hospital of Central South University between January 2022 and January 2024 and required mandibular reconstruction were selected. The cohort included 16 males and 11 females, with the age of (46.6±11.5) years; among them, 7 cases involved mandibular defects crossing the midline. The CTGANs generator produced 100 images, and the mean squared error (MSE) was calculated for differences between any two generated images. Preoperative cone-beam CT data from 5 patients were used to construct a labeled test database, divided into groups: normal maxilla, normal mandible, diseased mandible, and noise (each group containing 70 cross-sectional images). The CTGANs discriminator was used to evaluate the loss values for each group, and one-way ANOVA and intergroup comparisons were performed. Using the self-developed KuYe multioutcome-option-network generation system (KMG) software, the three-dimensional (3D) completion area of the mandible under cone-beam CT was defined for the 27 patients. The CTGANs algorithm was applied to obtain a reference model for the mandible. Virtual surgery was then performed, utilizing the fibular segment to reconstruct the mandible and design the surgical expectation model. The second-generation combined bone-cutting and prebent reconstruction plate positioning method was used to design and 3D print surgical guides, which were subsequently applied in mandibular reconstruction surgery for the 27 patients. Postoperative cone-beam CT was used to compare the morphology of the reconstructed mandible with the surgical expectation model and the mandibular reference model to assess the three-dimensional deviation.Results:The MSE for the CTGANs generator was 2 411.9±833.6 (95% CI: 2 388.7-2 435.1). No significant difference in loss values was found between the normal mandible and diseased mandible groups ( P>0.05), while both groups demonstrated significantly lower loss values than the maxilla and noise groups ( P<0.001). All 27 patients successfully obtained mandibular reference models and surgical expectation models. In total, 14 162 negative deviation points and 15 346 positive deviation points were observed when comparing the reconstructed mandible morphology with the surgical expectation model, with mean deviations of -1.32 mm (95% CI:-1.33- -1.31 mm) and 1.90 mm (95% CI: 1.04-1.06 mm), respectively. Conclusions:The CTGANs algorithm is capable of generating diverse mandibular reference models that reflect the natural anatomical characteristics of the mandible and closely match individual patient morphology, thereby facilitating the design of surgical expectation models. This method shows promise for application in patients with mandibular defects crossing the midline.

Objective: To analyze the developmental trajectories of middle school students loneliness and social support, as well as to explore the interaction between loneliness and social support, so as to provide the evidence based support for the mental health development of adolescents. Methods: A total of 989 first year students from four public middle schools in Xiangxi Tujia and Miao Autonomous Prefecture, Hunan Province were selected for three follow up surveys by a cluster random sampling method (T1:March 2023, T2:June 2023, T3:December 2023). The UCLA Loneliness Scale-20 (ULS-20) and Social Support Scale for University Students (SSSUS) were employed for questionnaire data collection. The growth mixture modeling was utilized to test the developmental trajectories of loneliness and social support among middle school students, while the cross lagged analysis was performed to investigate their mutual influence. Results: The scores for loneliness and social support in T1, T2 and T3 were (43.1±5.8, 42.5± 6.8 , 42.0±6.9; 55.9±12.0, 60.7±15.7, 60.4±16.7), respectively. Correlational analysis revealed a significant negative correlation between loneliness levels (T1, T2, T3) and social support (T1, T2, T3) ( r =-0.47 to -0.36, P <0.01). Growth mixture modeling indicated a linear declining trend of middle school students loneliness, and the developmental trajectory of social support showed a linear increasing trend, with significant individual differences in initial levels and rates of change ( P <0.05). Cross lagged analyses revealed that loneliness levels at T1 negatively predicted social support scores at T2 ( β =-0.16), and loneliness levels at T2 negatively predicted social support scores at T3 ( β =-0.12) ( P <0.05). Additionally, prior loneliness positively predicted its subsequent levels, with path coefficients of 0.58 and 0.47, respectively ( P <0.05). Social support scores at T1 negatively predicted loneliness levels at T2 ( β =-0.10), while scores at T2 negatively predicted loneliness levels at T3 ( β =-0.15) ( P <0.05). Prior loneliness also positively predicted its subsequent levels, with path coefficients of 0.43 and 0.44, respectively ( P <0.05). Conclusion The developmental trajectory of middle school students loneliness demonstrates a decreasing trend, while that of social support exhibits a linear increasing trend, indicating a longitudinal causal relationship between loneliness and social support.

Modified electroconvulsive therapy(MECT)has a good therapeutic effect on major depressive disorder(MDD),but its mechanism of action is still unclear.In recent years,accumulated studies have confirmed the effects of MECT on brain structure and function using neuroimaging techniques and large datasets obtained through global collaborations and the conclusions are becoming increasingly consistent.For example,there is an increase in gray matter volume in specific brain regions such as the hippocampus and amygdala,an increase in white matter microstructural integrity and normalization of brain functional connections associated with MDD,such as the hippocampus-amygdala-subgenual anterior cingulate cortex-prefrontal cortex network,hippocampus-thalamus-temporal cortex-parietal cortex network,etc.However,the relationship between these changes and the mechanism of MECT action still needs further investigation.This review provides an overview of the research progress on the structural and functional changes of the brain by MECT to provide methodological support and theoretical basis for its better application in clinical diagnosis and treatment.