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.

Objective: To evaluate the application value of a digital technology-based multiparameter vital signs monitoring system in perioperative comprehensive full-cycle surveillance. Methods: A comprehensive multidimensional vital signs monitoring system was developed through the integration of medical-grade wireless wearable devices, incorporating patch-type ambulatory electrocardiographic monitor, continuous glucose monitoring sensor, pulse oximeter, wireless digital thermometer, smart wristband, and bioelectrical impedance analyzer. This system facilitates continuous real-time acquisition of multiple physiological parameters including electrocardiogram, blood glucose, oxygen saturation, body temperature, physical activity, and body composition indices. The acquired data were systematically integrated and analyzed through a four-level digital architecture consisting of nurse mobile interfaces, bedside patient terminals, centralized ward monitoring displays, and hospital management information systems. One patient with gastric cancer complicated by diabetes mellitus was selected for full-cycle digital monitoring from preoperative evaluation to hospital discharge. The technical performance of the monitoring system was assessed in terms of data acquisition continuity and timeliness of abnormal event alerts. Results: The monitoring system effectively identified early postoperative abnormalities, such as decreased oxygen saturation and blood glucose fluctuations, providing timely guidance for clinical intervention. The built-in algorithm enabled visualization of perioperative stress levels through heart rate variability indices and continuous glucose monitoring data. The patient demonstrated good compliance with early postoperative mobilization, and the satisfaction score for monitoring management was 4 points based on the Likert 5-point scale. Conclusions: The multiparameter vital signs monitoring system enhanced the precision of perioperative management through continuous and dynamic physiological status assessment. Its modular design aligns with the principles of enhanced recovery after surgery, offering a novel technological solution for intelligent perioperative management.
Humans ; Stomach Neoplasms/physiopathology* ; Vital Signs ; Monitoring, Physiologic/instrumentation* ; Diabetes Mellitus ; Wearable Electronic Devices ; Perioperative Period

Adenomyosis is a common gynecological disease characterized by the invasion of endometrial glands and stroma into the myometrium of uterus, the pathological mechanism of which remains unclear yet. Disturbed lipid metabolism extensively affects abnormal cell proliferation and invasion in various diseases. However, the lipidome signature of human myometrium, which could be crucial in the development of adenomyosis, remains unknown. In this study, we generated the first lipidome profiling of human myometrium using a high-coverage and quantitative lipidomics approach based on ultra-performance liquid chromatography (UPLC) coupled with triple quadrupole (QqQ)-mass spectrometry (MS). A total of 317 lipid species were successfully quantified in the myometrial tissues from women with (n = 38) or without (n = 65) adenomyosis who underwent hysterectomy at Peking Union Medical College Hospital (Bejing, China). Up to 83 lipid species showed significant alternations in content between the two groups. These lipid aberrations involved multiple metabolic pathways, and emphasized inflammation, cell migration, and immune dysregulation upon adenomyosis. Moreover, receiver operating characteristic (ROC) curve analysis found that the combination of five lipid species could accurately distinguished the myometrial samples from women with and without adenomyosis with an area under the curve (AUC) of 0.906. Desorption electrospray ionization MS imaging (MSI) further underscored the heterogeneous distributions of these lipid markers in the adenomyosis lesion and adjacent myometrial tissue. Collectively, these results extremely improved our understanding on the molecular basis of adenomyosis, and could shed light on developing potential biomarkers and new therapeutic directions for adenomyosis.

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.

Objective To develop nurses'knowledge,attitude and practice questionnaire on medication management for patients with dysphagia,and test its reliability and validity.Methods Based on the evidence-based summary of the best evidence of medication management for patients with dysphagia,guided by the the-ory of knowledge,attitude and practice,the basic dimensions and item pool of the questionnaire were deter-mined through group discussion,Delphi expert consultation and pre-investigation.In order to revise the ques-tionnaire,437 nurses from 10 tertiary hospitals in Jiangsu Province were conveniently selected for investigation,and the reliability and validity of the questionnaire were tested according to the survey results.Results The nurses'knowl-edge,attitude and practice questionnaire on medication management for patients with dysphagia included 43 items in three dimensions.The three dimensions were analyzed by exploratory factors,and six common factors with characteristic roots>1 were extracted.Two factors were extracted from the knowledge dimension,and the cumulative variance contribution rate was 74.958%,One factor was extracted from the attitude dimen-sion,and the cumulative variance contribution rate was 77.655%.Three factors were extracted from the prac-tice dimension,and the cumulative variance contribution rate was 72.274%.The factor load of each item was 0.618-0.902,Cronbach's α coefficient of the total questionnaire was 0.949,and the test-retest reliability was 0.909.The overall content validity coefficient of the questionnaire was 0.922,and the content validity coeffi-cient for each item was 0.800-1.000.Conclusion The nurses'knowledge,attitude and practice questionnaire on medication management for patients with dysphagia developed in this study has good reliability and validi-ty,and could be used as an effective tool to evaluate the status quo of nurses'medication management for pa-tients with dysphagia.

Objective:To review the clinical status based on the best evidence of drug administration in patients with dysphagia, systematically analyze the obstacle factors and promoting factors in the process of evidence transformation, and formulate reform strategies.Methods:Based on the evidence-based nursing research method and the guidance of the Ottawa Model of Research Use (OMRU), the review indicators were developed based on the best evidence. The current status of clinical practice behaviors of 223 patients and 75 nurses in the Neurology, Neurosurgery and Geriatric departments of the Affiliated Hospital of Jiangsu University were reviewed from July to December 2021.Based on the results of the review, qualitative interviews were conducted with 32 potential adopters, and content analysis was used to assess the barriers and contributing factors to the clinical translation of evidence in three aspects: evidence-based change, potential adopters and practice environment, so as to develop effective strategies.Results:Based on the 22 best evidence selected, the evidence-based team developed 25 review indicators to carry out clinical review, showing that the compliance rate of 16 indicators were less than 60%. By analyzing and summarizing the interview results of potential adopters, the main obstacles leading to the low compliance rate of nurses were analyzed as follows: evidence-based reform changed the traditional work mode, and the application of evidence was not convenient; at the level of potential adopters, nurses had poor knowledge and practice, heavy work burden, and low awareness of patients and caregivers; at the level of practice environment, there was lack of nursing norms and procedures for clinical transformation of evidence, and the channels of multi-disciplinary collaboration and communication were not smooth. The main promoting factors were the perfect supervision mechanism of evidence-based nursing projects, the evidence-based group had rich experience in evidence transformation, the management was willing to change, and the practitioners were good at innovation.Conclusions:There is still a large gap between the clinical practice and the best evidence of drug administration in patients with dysphagia. The promoting factors should be fully utilized to overcome the obstacles and implement improvements to promote the effective transformation of evidence into clinical practice.

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 prepare a novel photosensitive nanoparticle and to evaluate its physicochemical properties,and effect on the efficacy of photodynamic therapy.Methods 5,15-dibromo-10,20-diphenylporphine(DBN),tetrafluoroterephthalonitrile(TFN),and the amphiphilic polymer methoxy-polyethylene glycol-distearoylphosphatidylethanolamine(DSPE-MPEG2000,PEG)were dissolved in tetrahydrofuran(THF)by co-precipitation method to prepare novel photosensitive nanoparticles,named DBN/TFN@PEG.The physicochemical properties of DBN/TFN@PEG were characterized.Both novel and conventional nanoparticles were continuously irradiated with a 660 nm laser,and the fluorescence intensity of nanoparticles,representing reactive oxygen species(ROS)production levels,was measured using a fluorescence spectrophotometer at different irradiation times.Tumor cells were co-incubated with the nanoparticles and irradiated with a 660 nm laser.ROS levels within the tumor cells were detected using immunofluorescence,and the ratio of dead to live tumor cells was determined using PI/Calcein-AM staining.Results Prepared DBN/TFN@PEG nanoparticles with hydrated particle size of approximately 107.8 nm were uniformly distributed in the solution.Compared to conventional nanoparticles,the ROS production capacity of DBN/TFN@PEG was significantly higher(P＜0.01).Immunofluorescence results showed that the generation of ROS levels in the tumor cells of DBN/TFN@PEG group were significantly higher than in the conventional nanoparticles group under laser irradiation(P＜0.01).PI/Calcein-AM staining results indicated a significantly higher ratio of dead tumor cells in the DBN/TFN@PEG group compared to the conventional nanoparticle group(P＜0.01).Conclusions DBN/TFN@PEG has stable physicochemical properties and uniform distribution in the solution.As effective photosensitizers,DBN/TFN@PEG can exhibit stronger ability to induce ROS generation in tumor cells,and may enhance the efficacy of photodynamic therapy in cancer.

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 explore the clinical features,diagnostic methods,and treatment strategies for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)encephalitis confirmed through cerebrospinal fluid(CSF)analysis.Methods The clinical data of patients diagnosed with SARS-CoV-2 encephalitis through CSF analysis in the Neurology Intensive Care Unit of the First Affiliated Hospital of Nanchang University from March 2022 to March 2023 were collected.Additionally,the relevant literature published in both domestic and international databases was analyzed and synthesized.Results The main neurological manifestations of five cases included decreased consciousness(5/5),psychiatric disorder(2/5),seizures(2/5),quadriplegia(1/5),and headaches(1/5).Two cases had abnormal brain magnetic resonance imaging(MRI)changes,involving the temporal lobe,insular lobe,thalamus,hippocampus,and pons.Additionally,CSF analysis showed mildly elevated protein levels in two cases.Next-generation sequencing(NGS)of the CSF identified SARS-CoV-2 in all five cases(sequence:41-1620),and human herpesvirus 1 in one case(sequence:21).The treatment regimen for all cases included antiviral therapy,three were additionally treated with glucocorticoids and one received immunoglobulin therapy.All cases achieved a favorable outcome(mRS:0-2).Conclusion SARS-CoV-2 has the potential to induce encephalitis/meningitis due to its neurotropic nature.The consideration of this condition is warranted in patients with relevant epidemiological history and symptoms related to the central nervous system.CSF NGS serves as a valuable tool for early diagnosis,while active antiviral therapy and immunotherapy may improve patient outcomes.