ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

This study aimed to investigate the effect of atractylenolide I (Atr-I) on myocardial mitochondrial function in mice with dilated cardiomyopathy (DCM) by regulating the cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) pathway. Sixty SPF-grade male cTnT R141W transgenic DCM mice were randomly divided into the DCM group, Atr-I low-dose group (60 mg/kg), Atr-I high-dose group (240 mg/kg), captopril group (0.01 g/kg), and Atr-I high-dose+cGAS/STING pathway activator 5,6-dimethylxanthenone-4-acetic acid (DMXAA) group, with 12 mice in each group. Additionally, 12 male C57BL/6J mice were used as the control group. All mice were administered via oral gavage once daily for 8 weeks. Cardiac function was assessed using the Vevo 770 ultrasound system; myocardial pathology was examined via HE staining; mitochondrial ultrastructure in cardiomyocytes was observed using transmission electron microscopy; the proportion of cardiomyocytes without reduced mitochondrial membrane potential was detected using JC-1 staining; reactive oxygen species (ROS) content in myocardial tissue was measured using 2',7'-dichlorodihydrofluorescein diacetate (DCFH-DA) staining; adenosine triphosphate (ATP) content in myocardial tissue was determined using a commercial kit; and Western blot was performed to detect the protein expression levels of mitofusin-2 (MFN2), dynamin-related protein 1 (DRP1), cGAS, STING, interferon-β (IFN-β), CXC chemokine ligand 10 (CXCL10), and interleukin-6 (IL-6) in myocardial tissue. The aim was to observe the effect of Atr-I on myocardial mitochondrial function in DCM mice. The results showed that low- and high-dose Atr-I (60 mg/kg, 240 mg/kg) intervention improved cardiac function, alleviated cardiomyocyte hypertrophy and disordered muscle fiber arrangement, ameliorated mitochondrial ultrastructure in cardiomyocytes, reduced ROS content and the protein expression levels of DRP1, cGAS, STING, IFN-β, CXCL10, and IL-6 in myocardial tissue, and increased the proportion of cardiomyocytes without reduced mitochondrial membrane potential, as well as ATP content and MFN2 protein expression in myocardial tissue. However, DMXAA attenuated the beneficial effects of high-dose Atr-I on myocardial mitochondrial function in DCM mice. In conclusion, Atr-I may improve myocardial mitochondrial function in DCM mice by inhibiting the cGAS/STING pathway.

Education is a crucial element in the development of acupuncture as a discipline, providing essential talent support for its future advancement. A structured interview was conducted with renowned acupuncture expert Professor ZHAO Jiping, focusing on key topics such as the core of acupuncture education, the connotation and development of acupuncture textbooks, and acupuncture teaching models. Through in-depth discussion, the current problems in acupuncture education were analyzed, and possible solutions were explored, aiming to offer ideas for the innovative development of acupuncture education.
Acupuncture/trends* ; Humans ; Acupuncture Therapy ; China

Objective: To investigate the association between emotional intelligence and sleep problems at the symptom level among junior and senior high school students, so as to provide new insights for interventions targeting junior and senior high school students sleep disorders. Methods: From November 2023 to May 2024, a stratified cluster random sampling method was employed to select 3 531 first year junior high school and first year senior high school students from 6 schools in Guangyuan City and Liangshan Yi Autonomous Prefecture in Sichuan Province, as well as Lhasa City in Tibet Autonomous Region. The Insomnia Severity Index Scale and the Wong and Law Emotional Intelligence Scale(WLEIS) were used to assess sleep problems and emotional intelligence. A network analysis was performed to explore the relationship between emotional intelligence and sleep disorders, and a gender based network comparison analysis was conducted. Results: The reported rate of sleep problems among junior and senior high school students was 47.3%, with severe sleep problems of 2.2%. Difficulty maintaining sleep, worry about sleep, and emotional application were the core symptoms in the network (node strength values: 1.11, 0.98, and 0.82, respectively). Dissatisfaction with sleep and emotional application served as bridge symptoms connecting emotional intelligence and sleep problems (bridge strength values: 1.77 and 1.59, respectively). The edge weights of the emotional intelligence and sleep problems network differed significantly between genders (maximum difference in edge weight values was 0.13， P <0.05). Conclusions Emotional application ability and dissatisfaction with sleep are the key nodes in the network connecting emotional intelligence and sleep problems. Targeted efforts to enhance emotional application ability may effectively reduce the risk of sleep problems among junior and senior high school students.

Objective Readout segmentation of long variable echo-trains diffusion weighted imaging(RESOLVE DWI)was used to analyze the difference of apparent diffusion coefficient(ADC)value in deep cerebral nucleus and its correlation with clinical characteristics in patients with Parkinson's disease(PD).Methods Clinical data of 60 patients with PD were retrospectively analyzed as PD group,and were divided in-to the tremor group(n=30)and the bradykinesia group(n=30)according to symptom type,middle-aged(≤65 years old)group(n=23)and elderly(＞65 years old)group(n=37)according to age,and 60 healthy vol-unteers were selected as the control group during the same period.ADC values were measured on the ADC map of RESOLVE DWI sequence,and the ADC values of bilateral putamen,pallidus,substantia nigra,rubra,and dentate nucleus were analyzed and their correlation with UPDRS-Ⅲ score and H&Y grading.Results Compared with the control group,the ADC values of both putamen,globus pallidus,globus pallidus,red nucleus,right substantia nigra and right dentate nucleus were increased in the PD group,the ADC values of both putamen,globus pallidus,red nucleus and right substantia nigra in the tremor group were increased,and the ADC values of right putamen,globus pallidus and bilateral red nucleus in the bradykinesia group were increased(P＜0.05).Compared with the bradykinesia group,the values of ADC in the tremor group were similar.Compared with the middle-aged group,the ADC values of right putamen,bilateral globus pallidus,left substantia nigra and left red nucleus were higher in the elderly group(P＜0.05).In the PD group,the ADC values of the right putamen,globus pallidus,and dentate nucleus were positively correlated with H&Y grade and UPDRS-Ⅲscore,and the ADC value of the left putamen was positively correlated with H&Y grade.Conclusion RE-SOLVE DWI can be used to evaluate the differences in deep gray matter nuclei in PD patients,and its ADC value may be used to evaluate and predict the severity of nuclear mass damage and motor symptoms in PD pa-tients.

Paying for TCM according to the value of efficacy is an intrinsic requirement for establishing an effective and efficient diversified medical insurance payment method, and is also an important measure to support the inheritance, innovation and development of TCM. This study used text mining and PMC index model to quantitatively analyze and evaluate the texts of 20 special policies on payment based on efficacy value in TCM. It was found that there were 6 excellent policies, 14 acceptable policies, and there were no undesirable policies or perfect policies; overall, the average policy PMC index was 6.94, and the average provincial policy was 7.06, which was higher than the prefecture-level average of 6.27; the overall quality of special policies of TCM based on efficacy value was relatively high, but there was still much room for improvement in terms of policy timeliness, policy evaluation, policy measures, policy tools, and balance of policy design between provinces and cities.

Objective To investigate the expression and clinical significance of lncRNA insulin growth factor 2 anti-sense IGF2-AS in colorectal cancer;To verify the biological function of IGF2-AS in cells and to screen protein mole-cules regulated by IGF2-AS.Methods Using bioinformatics to predict the expression and clinical significance of IGF2-AS in colorectal cancer;Using RT-qPCR to detect the expression of IGF2-AS mRNA;Using small interfering RNA to knockdown IGF2-AS;Using CCK8,Transwell assay and flow cytometry to detect proliferation,migration,and apoptosis,respectively;Using label free quantitative proteomics to screen for factors regulated by IGF2-AS;Using databases such as GenCards,OMIM,TTD,and proteomics results screening for core targets regulated by IGF2-AS in colorectal cancer.Results Bioinformatics analysis showed that IGF2-AS was significantly upregulated in colorectal cancer(P＜0.001),its expression might be related to TNM stage(P＜0.01)and the presence of lymph node metastasis(P＜0.001);RT-qPCR results showed that as compared to the control group,the expression level of IGF2-AS mRNA was significantly up-regulated in colorectal cancer tissues(P＜0.01)and most colon cancer cells(P＜0.000 1);Clinical pathological data indicated that the expression of IGF2-AS was potentially asso-ciated with the lymph node metastasis(P＜0.05);The proliferation rate and migration rate of colorectal cancer cells transfected with IGF2-AS siRNA were significantly reduced(P＜0.000 1),and the apoptosis rate was signifi-cantly increased(P＜0.05);There were 13 proteins including KRAS,TCF7L2 and CASP3,that were potentially core targets regulated by IGF2-AS.Conclusions IGF2-AS is significantly up-regulated in colorectal cancer and may play a cancer promoting role in colorectal cancer development.

Objective To explore the expression changes of KIAA1199 and Linc00673 genes in non-small cell lung cancer patients before and after chemotherapy,and to further evaluate the potential value of these two genes as molecular markers in predicting chemotherapy efficacy.Methods A total of 58 patients with stage Ⅲ-ⅣNSCLC admitted to the Third Hospital of Shijiazhuang and Fengfeng General Hospital of North China Medical Health Group from August 2019 to August 2021 were selected.Peripheral blood PBMCs were collected from patients 2 days before treatment and after two cycles of treatment to detect the expression levels of KIAA1199 and Linc00673 genes.The chemotherapy efficacy of patients was statistically analyzed,and the value of KIAA1199 and Linc00673 genes as molecular markers in predicting chemotherapy efficacy was assessed using ROC curve analysis.Results After 2 cycles of chemotherapy,20 out of 58 patients showed disease progression,accounting for 34.48%.qPCR results showed no statistically significant difference in the expression levels of KIAA1199 and Linc00673 genes between progressed and non-progressed patients before treatment(P>0.05).After treatment,the expression levels of KIAA1199 and Linc00673 genes were significantly lower in non-progressed patients compared to progressed patients(P<0.01).ROC curve analysis showed that the AUC of combined detection was significantly higher than that of KIAA1199 gene and Linc00673 gene alone(Z=3.054,5.178,P<0.05).Conclusion In NSCLC patients undergoing chemotherapy,the expression of KIAA1199 and Linc00673 genes shows significant differences based on therapeutic efficacy,with KIAA1199 being more suitable as a biomarker for predicting chemotherapy efficacy.