Objective: To investigate the association between injury prevention knowledge level and injury occurrence among primary and secondary school students in Dongguan, so as to provide scientific basis for formulating targeted and evidence based intervention strategies for child injury. Methods: From March to April 2024, stratified cluster random sampling method was applied to select 5 988 primary and secondary school students in grades 4-9 for a survey. The Revised Questionnaire for the 2016-2020 Child Injury Prevention Project (senior version) was used to collect demographic characteristics, family and caregiver information, injury event characteristics, and knowledge, attitude, and practice related to injury prevention. Mann-Whitney U test was used for inter group comparison. Propensity score matching (PSM) was applied to balance confounders, and conditional Logistic regression was used to analyze the association between injury prevention knowledge score and injury occurrence among primary and secondary school students, and a restricted cubic spline (RCS) model was employed to test the dose response relationship. Furthermore, interaction terms were introduced to examine the moderating effects of sex, grade level, and caregiver’s educational level. Results: The overall incidence of injuries among primary and secondary school students was 18.15%. The knowledge score of injury prevention was significantly lower in the injury group [20.0(18.0,22.0)] than in the non injury group [21.0(19.0,22.0)] ( Z = 8.24 , P <0.01). After PSM, 1 068 pairs were successfully matched, and the standardized mean difference for all covariates was <0.1. An increase in injury prevention awareness scores was associated with a reduced risk of injury occurrence among primary and secondary school students ( OR =0.92, P <0.05). The RCS analysis showed an approximately linear negative association between injury prevention knowledge score and injury risk among primary and secondary school students ( P non linear =0.72), with a decreased injury risk when score exceeded 24 ( OR = 0.69, P <0.05). Subgroup analyses indicated that the negative correlation between cognitive level and the risk of injury was common in different gender, grade and caregivers educational level groups ( OR =0.87- 0.93 , all P <0.05). Sensitivity analyses yielded results consistent with the primary analysis. Conclusions The incidence of injuries among primary and secondary school students in Dongguan City is relatively high. Injury prevention knowledge level is negatively associated with injury occurrence risk, exhibiting an approximately linear dose response relationship.

ObjectiveTo propose an X-Gait motor rehabilitation assessment system based on a perception-cognition decoupling architecture to jointly achieve high-accuracy gait recognition and clinical interpretability for low clinical credibility and opaque decision-making workflows in existing intelligent gait assessment models. MethodsIn the perception layer, YOLOv11-Pose and PoseFormerV2 were integrated for 2D-to-3D human pose reconstruction. A long short-term memory network was adopted for temporal classification of normal, abnormal and pathological gaits. The layer-wise relevance propagation algorithm was used to identify discriminative joints and automatically quantify biomechanical indices including trunk forward inclination angle, stance phase percentage and stride symmetry. In the cognition layer, rehabilitation-oriented prompt engineering and prior knowledge graphs were combined to drive large language models, converting quantitative biomechanical measurements into clinically reasonable structured reports. Eight subjects were enrolled for bedside clinical validation to evaluate classification performance and clinical consistency. ResultsThe overall gait classification accuracy of X-Gait reached 94.1%. The 2D pose detection achieved 100% valid detection rate with an average confidence of 0.819. The mean per-joint position error of 3D pose reconstruction was 105.97 mm. In clinical validation of eight cases, outputs generated by explainable artificial intelligence combined with large language models showed high consistency with manual assessments from experienced rehabilitation physicians. ConclusionThe proposed X-Gait system based on perception-cognition decoupling realizes high-precision gait identification and clinically interpretable outputs.

The proband was a 32-year-old female patient who sought medical attention for over 9 months of pregnancy, reduced fetal movement, and discomfort in the lower abdomen. The proband and her father had normal activated partial thromboplastin time and prothrombin time, decreased fibrinogen activity and antigen levels, and prolonged thrombin time, whereas the test results of her mother were normal. Ultrasonography showed intermuscular vein thrombosis in the left calf of the proband. Peripheral blood DNA was extracted from the proband and her parents, and Sanger sequencing was performed to detect the base sequences of the FGA, FGB, and FGG genes. The proband and her father had heterozygous missense mutations in exon 6 c.615A > C (p. Leu205Phe) and exon 8 c.1121A > C (p. Tyr374Ser) of the FGG gene. Bioinformatics analysis suggested that the two gene mutations may be the pathogenic mechanism of this congenital hypodysfibrinogenemia family.

Early diagnosis and therapy of the periodontitis are crucial for the prognosis.Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses,it is extremely complex in practice.At present,the application of artificial intelligence in the field of dentistry is becoming more and more extensive,which has good performance in detecting tooth types and periodontal bone loss.The use of artificial intelli-gence to detect periodontal lesions and calculate periodontitis staging and grading,and guide clinical personalized and precise treatment has become a hot topic of current research.This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis,and provides ideas for further research.

Objective:To construct the gemcitabine resistant cell lines of human pancreatic cancer cell line (PANC1) and mouse pancreatic cancer cell line (PANC02), and to investigate their biological behavior changes.Methods:Gemcitabine-resistant cell lines PANC1-GR of human pancreatic cancer and PANC02-GR of mouse pancreatic cancer were induced by concentration gradient increment method. Cell count assay (CCK-8), flow cytometry, cell scratch assay and Transwell assay were used to detect the drug resistance, proliferation, cell cycle, migration and invasion of the four groups of cell lines. The drug-resistant cells were also compared with the parent cells.Results:The resistance indices of PANC1-GR and PANC02-GR were 153.3 and 185.4, respectively. The results of CCK-8 showed that with the increase of gemcitabine concentration, the proliferation of resistant cells changed significantly compared with parental cells, the population doubling time of PANC1-GR was significantly shorter than that of PANC1 (1.5±0.1) d vs (2.4±0.2) d ( t=8.00, P<0.001). The proportion of cells in S and G2/M phase increased, and the proportion of cells in G0/G1 phase decreased. The cell scratch and Transwell experiments indicated that the 24h mobility of PANC1-GR and PANC02-GR was higher than that of parent cells (47.6±2.4)% vs (28.7±6.3)% and (53.6±3.2)% vs (30.1±1.4)%, the number of individual field (200 times magnification) penetrating membrane cells was also higher than that of parent cells (269.7±30.9) vs (62.7±10.1) and (172.0±30.8) vs (36.3±4.9), with statistical significance (all P<0.05). Conclusion:Concentration gradient increment method can successfully establish gemcitabine-resistant pancreatic cancer cell lines, which have stronger proliferation, migration and invasiveness, and can be used to study the mechanism of drug resistance in pancreatic cancer.

Disruption of the intestinal mucosal barrier caused by gut dysbiosis and metabolic imbalance is the underlying pathology of inflammatory bowel disease (IBD). Traditional Chinese medicine Wuji Wan (WJW) is commonly used to treat digestive system disorders and showed therapeutic potential for IBD. In this interdisciplinary study, we aim to investigate the pharmacological effects of WJW against experimental colitis by combining functional metabolomics and gut-microbiota sequencing techniques. Treatment with WJW altered the profile of the intestinal microbiota and notably increased the abundance of Lactobacillus, thereby facilitating the conversion of tryptophan into indole-3-acetic acid (IAA) and indoleacrylic acid (IA). These indole derivatives activated the aryl hydrocarbon receptor (AhR) pathway, which reduced colonic inflammation and restored the expression of intestinal barrier proteins. Interestingly, the beneficial effects of WJW on gut barrier function improvement and tryptophan metabolism were disappeared in the absence of gut microbiota. Finally, pre-treatment with the AhR antagonist CH-223191 confirmed the essential role of IAA-mediated AhR activation in the therapeutic effects of WJW. Overall, WJW enhanced intestinal barrier function and reduced colonic inflammation in a murine colitis model by modulating Lactobacillus-IAA-AhR signaling pathway. This study provides novel insights into colitis pathogenesis and presents an effective therapeutic and preventive approach against IBD.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Objective:To assess the safety of a novel domestically developed direct visualization system of peroral cholangiopancreatoscopy for the exploration of biliary tract.Methods:Clinical data from 384 patients with biliary tract diseases who underwent endoscopic retrograde cholangiopancreatography (ERCP) at the Endoscopy Center of Shanghai Xuhui District Central Hospital from November 2017 to December 2022 were retrospectively analyzed. Patients were categorized into 2 groups based on the type of cholangioscope: the novel cholangiopancreatoscopy system group ( n=159) and the SpyGlass group ( n=225). In the novel cholangiopancreatoscopy system group, the new direct visualization system of China-made peroral cholangiopancreatoscopy was used for bile duct exploration, while the SpyGlass group utilized the SpyGlass system for bile duct inspection. Propensity score matching (PSM) was used as a nearest-neighbor method with a caliper of 0.01 to minimize confounding factors, resulting in a balanced sample of 122 patients in each group after matching. The primary outcome was the incidence of short-term complications, with secondary outcomes including technical success rates and post-treatment outcomes. Results:After PSM, there were no significant differences in baseline characteristics between the two groups ( P>0.05). Regarding short-term postoperative complications, pancreatitis occurred in 1.6% (2/122) of patients in the novel cholangiopancreatoscopy system group and 7.4% (9/122) in the SpyGlass group. The new system significantly reduced the incidence of post-procedure pancreatitis ( χ2=4.665, P=0.031). The cholecystitis was absent in the novel cholangiopancreatoscopy system group, while it occurred in 0.8% (1/122) cases in the SpyGlass group, with no significant difference between the two groups after the procedure ( P=1.000). Regarding technical success rate, the novel system group achieved a rate of 99.2% (121/122), while the SpyGlass group achieved 97.5% (119/122) ( P=0.622). A slightly higher success rate was observed in the novel system group.There were 81 cases of postoperative biliary drainage in the novel cholangiopancreatoscopy system group and 74 cases in the SpyGlass group. Conclusion:The novel direct visualization system of peroral cholangiopancreatoscopy is safer than SpyGlass in the exploration of biliary system diseases. Endoscopists are encouraged to choose the appropriate cholangioscopy system based on individual patient characteristics for the direct visualization, diagnosis, and treatment of biliary diseases.

Early diagnosis and therapy of the periodontitis are crucial for the prognosis.Although the latest international classification of periodontal diseases and peri-implant diseases in 2018 can improve the accuracy of diagnosis and reduce the misdiagnosis and missed diagnoses,it is extremely complex in practice.At present,the application of artificial intelligence in the field of dentistry is becoming more and more extensive,which has good performance in detecting tooth types and periodontal bone loss.The use of artificial intelli-gence to detect periodontal lesions and calculate periodontitis staging and grading,and guide clinical personalized and precise treatment has become a hot topic of current research.This paper summarizes and analyzes the current research status of artificial intelligence in periodontal radiographic diagnosis,and provides ideas for further research.