Endodontic microsurgery (EMS) is an oral surgical procedure that utilizes the magnification and illumination provided by a microscope. Fine instruments are used to remove periapical diseased tissues, resect the root apex, and tightly seal the root canal system, aiming to promote the healing of periapical tissues and retain the affected tooth whenever possible. Precise localization and resection of the root apex have always been challenging in EMS. The application of digital technology in EMS can address many issues in traditional endodontic microsurgery. Digital technology offers advantages such as optimizing surgical planning, providing precise positioning guidance, and enhancing operational accuracy. Currently, the commonly used digital technologies in EMS include static and dynamic navigation technologies and oral surgical robots. Static navigation technology enhances surgical predictability through precise preoperative planning and guided fabrication, yet is constrained by its inability to adjust during surgery. Dynamic navigation technology excels in real-time tracking and intraoperative flexibility but demands high hand-eye coordination from surgeons and may be hindered by bulky handheld devices. Oral surgical robots reduce hand tremors and human error in surgery with their high precision, stability, and ability to adjust in real time, but their clinical applicability is limited and their cost is high. In clinical practice, tailored combinations of these technologies can be applied based on case complexity. For simple cases with well-defined anatomy, static navigation alone may suffice. For complex anatomical cases, static navigation can provide initial planning, supplemented by dynamic navigation for real-time guidance or robotic systems for high-precision execution. This paper discusses the workflow, clinical application status and advantages and limitations of these three digital technologies in EMS. The continuous development of digital technology is expected to simplify the operation process, improve the navigation accuracy, and reduce the operation cost. It is believed that with continuous improvement and optimization, these technologies will effectively break through the current bottleneck of the cost of equipment, operation complexity, and accuracy enhancement. These technologies are also expected to further expand the application boundaries, providing more minimally invasive, precise, and time-saving personalized treatment solutions for endodontic diseases.

Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as the most prevalent chronic liver disorder worldwide, characterized by complex molecular regulatory networks driving its pathogenesis. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), serve as critical regulators of gene expression and have been increasingly recognized for their pivotal roles in MASLD development. Rather than functioning in isolation, these ncRNAs form intricate regulatory networks that integrate and amplify disease signals across multiple cellular compartments and pathological stages. This review provides a comprehensive overview of how these ncRNA networks orchestrate MASLD progression, focusing on their roles in metabolic dysregulation, inflammation, and fibrosis. We further evaluate the diagnostic potential of circulating ncRNAs as stable, non-invasive biomarkers for disease stratification and monitoring, and discuss emerging therapeutic strategies targeting ncRNAs, including antisense oligonucleotides, synthetic mimics, and advanced delivery platforms such as lipid nanoparticles and engineered exosomes. Despite significant progress, challenges related to delivery efficiency, tissue specificity, and safety remain barriers to clinical translation. By synthesizing current knowledge of ncRNA networks in MASLD and highlighting opportunities for therapeutic intervention, this review provides a roadmap for translating ncRNAs into clinical applications for this increasingly prevalent metabolic liver disease.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

Objective:To evaluate the efficacy and safety of the Chi-BEAM regimen (chidamide combined with carmustine, etoposide, cytarabine, and melphalan) followed by autologous hematopoietic stem cell transplantation (ASCT) in patients with high-risk or relapsed/refractory lymphoma.Methods:This retrospective case series included 78 patients with newly treated high-risk or relapsed/refractory lymphoma who underwent ASCT with the Chi-BEAM conditioning regimen in the Department of Hematology, the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital), from June 2021 to May 2024. Descriptive statistics were employed to evaluate clinical characteristics, efficacy, and adverse events. The Kaplan-Meier method was applied to calculate cumulative progression-free survival (PFS) and overall survival (OS) rates.Results:The median age of the 78 evaluable patients was 47 years (range 16-68), with 8 patients (10.3%) aged ≥60 years. At the first post-transplant assessment (3 months), the objective response rate was 94.9% (74/78). The median follow-up was 20.1 months (range 2.9-44.9). The median PFS time was 20.1 months (range 1.6-45.1), with a 2-year cumulative PFS rate of 81.8%. The median OS time was 20.6 months (range 3.1-45.1), with a cumulative 2-year OS rate of 93.2%. The regimen was well-tolerated; mild-to-moderate hypocalcemia within 1 week post-infusion and transient mild erythrocyturia on the infusion day were the primary adverse reactions.Conclusion:The Chi-BEAM regimen combined with ASCT demonstrates both safety and clinical benefit in patients with high-risk or relapsed/refractory lymphoma.

OBJECTIVE: To investigate the effect and mechanism of Hyssopus cuspidatus Boriss. extract (HCE) in ovalbumin (OVA)-induced allergic asthma. METHODS: Components identification of HCE was conducted using ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry. Mice were sensitized with OVA to establish asthmatic model, and dexamethasone was used as positive control. Respiratory reactivity, white cells counting in bronchoalveolar lavage fluid and peripheral blood, cytokine level measurement in serum and lung tissue, and histologic examination were performed to evaluate the therapeutic effect of HCE on asthma. Network pharmacology approach was used for mechanism prediction. Western blotting and untargeted lipidomics method were applied for mechanism validation. RESULTS: Fifty-two compounds were identified in HCE, predominantly terpenoids and flavonoids. HCE markedly reduced airway resistance, the eosinophil infiltration in lung tissues, and the levels of immunoglobulin E, interleukin-4, interleukin-5, and interleukin-13. Network pharmacology analysis suggested phosphatidylinositol 3-kinases (PI3K), c-Jun N-terminal kinase (JNK), and p38 Mitogen-activated protein kinase (p38 MAPK) may be key proteins of HCE in the treatment of allergic asthma. Western blot results indicated that the levels of phosphorylated PI3K, JNK, and P38 were downregulated in HCE-treated group. Moreover, HCE significantly upregulated the levels of ceramide and sphingomyelin and downregulated the level of phosphatidylcholine. CONCLUSION HCE inhibited allergic asthma via PI3K/JNK/P38 signaling pathway and lipid homeostasis regulation.

Objectives:To investigate the effect of non-optimal temperature exposure during pregnancy on the risk for preterm birth and identify the susceptible exposure window. At the same time, the interaction between non-optimal temperature and pollutants exposure during pregnancy on preterm birth was analyzed, in order to provide strong clues for the influence of non-optimal temperature exposure during pregnancy on the risk for preterm birth.Methods:A total of 1 852 pregnant women were recruited from September 2021 to June 2023 in Fujian Provincial Maternal and Child Health Care Center. Questionnaire survey was conducted, and their health records were analyzed. The permanent address of each pregnant woman was matched with Fifth Generation European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis of the Global Climate and a geo-statistical combination model based on satellite remote sensing data collection, then follow-up for pregnancy outcome was conducted. Distributed lag nonlinear model was used to assess the association between exposure to non-optimal temperature during pregnancy and the risk for preterm birth and a multiplicative interaction model was used to assess the interaction between exposure to pollutants and non-optimal temperatures during pregnancy on the risk for preterm birth.Results:After adjusting for potential confounders such as maternal age, occupation, Gross Domestic Product of the region, pre-pregnancy preconception BMI, newborn sex, the weekly susceptibility windows of extreme low temperature ( P1, P3, P5) were week 1-22 , and the weekly susceptibility windows of extreme high temperature ( P95, P97, P99) were week 27 and week 32-36. Extreme low temperature [ P1 ( OR=1.147, 95% CI: 1.041-1.265), P5 ( OR=1.284, 95% CI: 1.035-1.501)] and extreme high temperature [ P97 ( OR=1.146, 95% CI: 1.039-1.263), P99 ( OR=1.216, 95% CI: 1.099-1.345)] exhibited multiplicative interaction with PM 2.5. Conclusions:Exposure to non-optimal temperature during pregnancy was associated with an increased risk for preterm birth. The susceptible exposure windows of extreme low temperature were mainly in early and mid-pregnancy, and the susceptible exposure windows of extreme high temperature were mainly in late-pregnancy. Exposure to non-optimal temperatures and pollutants during pregnancy was associated with an increased risk for preterm birth.

Objective:To explore the experiences and needs of discharged patients with ischemic stroke during the implementation of home-based digital-intelligent blood pressure management.Methods:Using purposive sampling method, 13 acute ischemic stroke patients admitted to the Department of Neurology of Xuanwu Hospital of Capital Medical University and discharged to receive home-based digital-intelligent blood pressure management were selected for face-to-face semi-structured interviews between March and May 2024. Colaizzi 7-step analysis was used for the analysis.Results:A total of three themes and six sub-themes were extracted, namely, the double-edged effect under digital-intelligent empowerment (current situation of collision between technological novelty and cognitive generation gap, and contradiction between precision priority and lagging user experience), inertial resistance and behavioral reshaping in the process of digital-intelligent intervention (behavioral intervention exclusion under life inertia and self-efficacy enhancement driven by digital intelligence), and the "support disconnection" and the need for system reconstruction in home-based rehabilitation (professional guidance "vacuum" identity anxiety, and imbalance in the tension of family support networks) .Conclusions:Home-based blood pressure digital-intelligent management devices and programs for ischemic stroke patients need to be improved and developed. The role of multidisciplinary teams should be actively utilized, the digital divide should be emphasized, and post-disease family relationships should be reconstructed to further enhance patients' awareness of long-term blood pressure management.

Objective:To evaluate the efficacy and safety of the Chi-BEAM regimen (chidamide combined with carmustine, etoposide, cytarabine, and melphalan) followed by autologous hematopoietic stem cell transplantation (ASCT) in patients with high-risk or relapsed/refractory lymphoma.Methods:This retrospective case series included 78 patients with newly treated high-risk or relapsed/refractory lymphoma who underwent ASCT with the Chi-BEAM conditioning regimen in the Department of Hematology, the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital), from June 2021 to May 2024. Descriptive statistics were employed to evaluate clinical characteristics, efficacy, and adverse events. The Kaplan-Meier method was applied to calculate cumulative progression-free survival (PFS) and overall survival (OS) rates.Results:The median age of the 78 evaluable patients was 47 years (range 16-68), with 8 patients (10.3%) aged ≥60 years. At the first post-transplant assessment (3 months), the objective response rate was 94.9% (74/78). The median follow-up was 20.1 months (range 2.9-44.9). The median PFS time was 20.1 months (range 1.6-45.1), with a 2-year cumulative PFS rate of 81.8%. The median OS time was 20.6 months (range 3.1-45.1), with a cumulative 2-year OS rate of 93.2%. The regimen was well-tolerated; mild-to-moderate hypocalcemia within 1 week post-infusion and transient mild erythrocyturia on the infusion day were the primary adverse reactions.Conclusion:The Chi-BEAM regimen combined with ASCT demonstrates both safety and clinical benefit in patients with high-risk or relapsed/refractory lymphoma.

Objective:To explore the experiences and needs of discharged patients with ischemic stroke during the implementation of home-based digital-intelligent blood pressure management.Methods:Using purposive sampling method, 13 acute ischemic stroke patients admitted to the Department of Neurology of Xuanwu Hospital of Capital Medical University and discharged to receive home-based digital-intelligent blood pressure management were selected for face-to-face semi-structured interviews between March and May 2024. Colaizzi 7-step analysis was used for the analysis.Results:A total of three themes and six sub-themes were extracted, namely, the double-edged effect under digital-intelligent empowerment (current situation of collision between technological novelty and cognitive generation gap, and contradiction between precision priority and lagging user experience), inertial resistance and behavioral reshaping in the process of digital-intelligent intervention (behavioral intervention exclusion under life inertia and self-efficacy enhancement driven by digital intelligence), and the "support disconnection" and the need for system reconstruction in home-based rehabilitation (professional guidance "vacuum" identity anxiety, and imbalance in the tension of family support networks) .Conclusions:Home-based blood pressure digital-intelligent management devices and programs for ischemic stroke patients need to be improved and developed. The role of multidisciplinary teams should be actively utilized, the digital divide should be emphasized, and post-disease family relationships should be reconstructed to further enhance patients' awareness of long-term blood pressure management.

Objective To study the distribution and drug resistance characteristics of pathogenic bacteria in the elderly population of China by collecting and analyzing the standardized case data on the pathogens of infections in elderly patients,and to facilitate the establishment of a standardized layered surveillance system for pathogenic bacteria in China.Methods We collected the case data of elderly patients(≥65 years old)from 62 sentinel hospitals across the country in 2021.Then,we statistically analyzed the data by patient age,their geographical region,the distribution of pathogenic bacteria,and the drug resistance characteristics of main pathogens.Results A total of 3468 cases from across the country were included in the study.The top three sources of patients were the intensive care unit(13.2%),the department of respiratory medicine(11.2%),and the department of general surgery(8.4%).The top three types of specimens were urine(25.5%),sputum(20.6%),and blood(18.7%).A total of 3468 strains of pathogens were isolated,among which,78.9%were gram-negative bacteria and 21.1%were gram-positive bacteria.The top five types of bacteria were Escherichia coli(20.9%),Klebsiella pneumoniae(18.3%),Pseudomonas aeruginosa(11.2%),Staphylococcus aureus(9.0%),and Acinetobacter baumannii(7.0%).The isolation rates of common important drug-resistant bacteria were 38.0%for methicillin-resistant Staphylococcus aureus(MRSA),68.7%for carbapenem-resistant Acinetobacter baumannii(CRAB),and 38.2%for carbapenem-resistant Pseudomonas aeruginosa(CRPA),20.1%for carbapenem-resistant Klebsiella pneumoniae(CRKP),5.2%for carbapenem-resistant Escherichia coli(CRECO),and 2.1%for vancomycin-resistant Enterococcus(VRE).There were differences in the isolation rates of CRAB and CRKP in clinical care in the elderly population in seven geographical regions of China(P＜0.05).Klebsiella pneumoniae is the most important pathogen in the elderly population≥85 years old,and the isolation rates of CRKP showed significant differences in different age groups(P＜0.05).Conclusion There are significant differences in the drug resistance of pathogenic bacteria in the elderly populations of different regions and age groups in China.Therefore,monitoring the distribution and drug resistance of pathogenic bacteria in the elderly population and formulating targeted treatment plans according to the characteristics of the specific regions and age groups are of great significance to the improvement in the treatment outcomes and prognosis of the elderly population.