ObjectiveTo evaluate the effect of neuromuscular electrical stimulation (NMES) on pain, quadriceps strength and motor function of patients after total knee arthroplasty (TKA). MethodsThe databases of CNKI, Wanfang data, VIP, PubMed, Embase, Cochrane, Web of Science and Scopus were retrieved from inception to April, 2025. Randomized controlled trials (RCT) related to the intervention of NMES after TKA were collected. The quality of the included literature was evaluated using the Cochrane Risk of Bias Assessment Tool and the Physical Therapy Evidence Database (PEDro) scale. Meta-analysis was performed with RevMan 5.4. ResultsA total of twelve RCT were included, involving 772 subjects. The PEDro scale score ranged from four to seven. NMES improved postoperative quadriceps muscle strength (SMD = 0.61, 95%CI 0.34 to 0.88, P < 0.001) and knee flexion range of motion (SMD = 1.35, 95%CI 0.30 to 2.41, P = 0.010), and reduced the Timed Up and Go Test (TUGT) time (SMD = -0.86, 95%CI -1.45 to -0.26, P = 0.005). Compared with the control group, the intervention group achieved better outcomes in the 2-Minute Walk Test (2MWT) (SMD = 19.44, 95%CI 10.44 to 30.43, P < 0.001), 3-Minute Walk Test (SMD = 23.57, 95%CI 14.77 to 32.36, P < 0.001), 6-Minute Walk Test (SMD = 42.29, 95%CI 9.71 to 74.86, P = 0.010), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) (SMD = -0.52, 95%CI -1.00 to -0.04, P = 0.040), as well as the Physical Component Summary (PCS) (SMD = 2.90, 95%CI 0.73 to 5.06, P = 0.009) and Mental Component Summary (MCS) (SMD = 2.84, 95%CI 1.40 to 4.28, P = 0.040) of the 36-Item Short Form Health Survey (SF-36). Subgroup analysis demonstrated that two to four weeks after surgery, NMES enhanced patients' quadriceps muscle strength (SMD = 0.90, 95%CI 0.58 to 1.21, P < 0.001), shortened TUGT time (SMD = -1.28, 95%CI -2.57 to -0.02, P < 0.05) and increased walking distance in 2MWT (SMD = 20.43, 95%CI 10.44 to 30.43, P < 0.001). For patients followed up for two to three months, NMES yielded improvements in WOMAC scores (SMD = -0.44, 95%CI -0.79 to -0.09, P = 0.010) and SF-36 MCS scores (SMD = 4.17, 95%CI 2.43 to 5.91, P < 0.001). ConclusionNMES can significantly improve the quadriceps strength and walking ability of the TKA patients two to four weeks after surgery, and enhance the quality of life of patients two to three months after surgery.

Objective A targeted nanopeptides(VEGF/TIE-2 targeted nanopeptides,VTN)that simultaneously inhibits vascu-lar endothelial growth factor(VEGF)/tyrosine kinase with immunoglobulin-like and EGF-like domains-2(TIE-2)signaling pathways were designed and synthesized,and explore its inhibitory effect on angiogenesis in renal clear cell carcinoma(ccRCC).Methods VTN and non-self-assembling control VTN-C were prepared by solid-phase peptide synthesis technology,and the molecular structures of VTN and VTN-C were analyzed by electrospray ionization mass spectrometry(ESI-MS).The CCK-8 method was used to evaluate the effect of VTN on the cell viability of human umbilical vein endothelial cells(HUVEC).The cell scratch assay,Transwell invasion assay and angiogenesis assay were used to detect the inhibitory effects of VTN on migration,invasion and angiogenesis of HUVEC.Western blot was used to detect the effect of VTN on the phosphorylation of downstream proteins of VEGF and TIE-2 signaling pathways.A 786-O cell mouse model was established,and the effects of VTN on tumor angiogenesis and tumor progression were observed through animal ex-periments.Results ESI-MS showed that the main charge state peaks of both synthesized VTN and VVTN-C pointed to the same molec-ular weight,which was highly consistent with the corresponding theoretical molecular mass.Immunofluorescence showed that VTN co-lo-calized with VEGF and TIE-2.VTN combined with MMP-2 could significantly inhibit the activity of HUVEC(P<0.001).The cell inva-sion rate and scratch closure rate in the VTN group were reduced by(78.30±1.35)%and(37.09±3.49)%compared those in the PBS group,respectively(P<0.001).Angiogenesis experiments showed that VTN could significantly inhibit the angiogenesis of HUVEC(P<0.001).Western blot showed that VTN significantly inhibited the phosphorylation of Akt and ERK(P<0.001).The results from animal experimentsshowed that tumor volume in the VTN group was decreased by(87.16±1.30)%compared with the control group,and the CD31-positive area was reduced(P<0.001).Conclusion VTN significantly blocks ccRCC angiogenesis and delays tumor progression by inhibiting VEGF and TIE-2 signaling pathways and downregulating Akt and ERK phosphorylation.

Objective:To investigate the protective effect of moxibustion on joints and its influence on the expression levels of S100 calcium binding protein A8(S100A8),S100 calcium binding protein A9(S100A9),serum amyloid A1(SAA1),and related inflammatory factors in rats with adjuvant arthritis(AA).Methods:Forty Wistar rats were randomly divided into a normal group,a model group,a moxibustion group,and a medication group,with 10 rats in each group.Except for the normal group,AA models were established in the other three groups by exposing rats to wind-cold-dampness environmental conditions combined with complete Freund's adjuvant.After successful modeling,the moxibustion group received moxibustion intervention,while the medication group was administered tripterygium glycosides tablets via oral gavage.The normal and model groups underwent similar handling and fixation without additional interventions.After 15 d of intervention,hematoxylin-eosin staining was used to assess pathological changes in the knee joint synovial membrane.Western blotting was performed to detect the protein expression of S100A8,S100A9,and SAA1 in the synovial tissue.Enzyme-linked immunosorbent assay was used to measure the serum levels of interferon(IFN)-γ,interleukin(IL)-6,and IL-23.Results:Compared to the normal group,the model group exhibited significantly increased protein expression of S100A8,S100A9,and SAA1 in the knee joint synovial tissue,as well as elevated serum levels of IFN-γ,IL-6,and IL-23(P<0.01).Histopathological analysis revealed marked synovial hyperplasia and extensive infiltration of inflammatory cells in the model group.Compared to the model group,both the moxibustion and medication groups showed significant reductions in the protein expression of S100A8,S100A9,and SAA1 in the synovial tissue,as well as decreased serum levels of IFN-γ,IL-6,and IL-23(P<0.01).Additionally,synovial tissue in these two groups displayed minimal hyperplasia and only mild inflammatory cell infiltration.Notably,compared to the moxibustion group,the medication group exhibited significantly higher protein expression of S100A9 in the synovial tissue(P<0.05),while no significant differences were observed in the expression of S100A8,SAA1,or serum levels of IFN-γ,IL-6,and IL-23(P>0.05).Both intervention groups showed comparable degrees of synovial inflammation,clear tissue structure,and no obvious hyperplasia.Conclusion:Moxibustion can alleviate joint swelling and reduce inflammatory responses in AA rats.Its mechanism may involve regulating the protein expression of S100A8,S100A9,and SAA1 in the knee joint synovial tissue.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective To investigate the effects of Zhongfengting granule on plasma metabolites in acute cerebral ischemia MCAO model rats by non-targeted metabolomics techniques,and to elucidate the neuroprotective mechanism of Zhongfengting granule.Methods 24 male SD rats were randomly divided into blank group,model group and Chinese medicine group,with 8 rats in each group.Model group and Chinese medicine group were treated with middle cerebral artery thrombus method to establish the MCAO rat model,and the medicine was administered on the same day after the successful modeling.The Chinese medicine group was given(22.68 g·kg-1)Zhongfengting granule solution by gavage,and the blank group and model group were given equal volume normal saline for 7 days.After administration,blood was collected intravenously.Plasma samples from blank group,model group and Chinese medicine group were analyzed by ultra-high performance liquid chromatogre-quadrupole tandem time-of-flight mass spectrometer,and differential metabolites were screened by multivariate statistical analysis.The metabolic pathways of the differentiated metabolites were analyzed based on KEGG database.Results Multivariate statistical analysis showed that the content of 22 potential biomarkers in the rat model of acute cerebral ischemia had significant changes,and the above-mentioned 22 potential biomarkers were significantly reversed by Zhongfengting granule(P<0.05).The enrichment results of metabolic pathways showed that Zhongfengting granule mainly affected phenylalanine metabolism,tyrosine metabolism,ascorbic acid metabolism and arachidonic acid metabolism.Conclusion Metabolites and metabolic pathways in MCAO model rats with acute cerebral ischemia are changed,and the different metabolites and metabolic pathways can be reversed by Zhongfengting granule,which mainly involve phenylalanine metabolism and regulate energy metabolism.

γ-Aminobutyric acid(GABA),a pivotal inhibitory neurotransmitter in the central nervous system,plays an essential role in maintaining normal ocular physiological functions.GABA and its receptors are widely distributed through-out the retina,optic nerve,and visual pathways.Research indicates that GABA dysregulation is implicated in the pathogen-esis and progression of certain ophthalmic disorders.This article provides a comprehensive exploration of the relationship between GABA and ophthalmic diseases,including myopia,amblyopia,glaucoma,and dry eye syndrome.Moreover,the potential mechanisms and recent research advances are discussed.The findings may offer novel options and chances for the diagnosis and treatment of ophthalmic diseases.

Objective:To investigate the efficacy and prognosis of biliary drainage via endoscopic retrograde cholangiopancreatography (ERCP) before steroid therapy in treating autoimmune pancreatitis (AIP) complicated with obstructive jaundice.Methods:A retrospective analysis was performed on clinical data of patients with AIP complicated with obstructive jaundice who received steroid therapy at the First Affiliated Hospital of Naval Medical University from 2010 to 2023. Patients were divided into a drainage group (receiving ERCP biliary drainage before steroid therapy) and a steroid group (receiving only steroid therapy). Short-term efficacy, long-term efficacy, hospitalization costs and postoperative complications of ERCP biliary drainage were compared between the two groups.Results:A total of 69 patients were included, with 32 in the drainage group, aged 62.78±11.21 years, which demonstrated significantly higher costs (34 816.57±11 688.85 yuan VS 16 518.50±6 544.37 yuan, t=7.0, P<0.001), with 25.00% (8/32) experiencing ERCP-related complications, compared with 37 patients in the steroid group, aged 55.41±2.15 years. There was no significant difference in hospitalization duration between the drainage group (10.38±4.56 days) and the steroid group (8.95±4.99 days, t=1.2, P=0.219). After 1 month of treatment, total bilirubin [118.5 (76.2, 309.3) μmol/L VS 48.7 (30.5, 148.4) μmol/L, U=1 728.5, P<0.001] and direct bilirubin [84.5 (47.7, 236.3) μmol/L VS 37.7 (18.3, 105.7) μmol/L, U=1 588.5, P=0.001] levels in the drainage group remained higher than those in the steroid group, while alanine aminotransferase levels were lower [74.0 (46.5,110.5) U/L VS 143.0 (51.0,253.5) U/L, U=769.0, P=0.006]. No significant differences were observed in these biochemical indices between the two groups at 4-month and 12-month follow-ups ( P>0.05). The recurrence rates were 28.1% (9/32) in the drainage group and 21.6% (8/37) in the steroid group, with no significant difference in recurrence rate between groups ( χ2=0.4, P=0.266). Conclusion:ERCP biliary drainage does not significantly improve long-term efficacy or reduce recurrence rates in AIP patients with obstructive jaundice. Instead, it increases the risk of postoperative complications and medical costs. Direct steroid therapy is safe and feasible for confirmed AIP with obstructive jaundice.

Objective:Using graph theory analysis, this study compares the topological and node attributes of the brain network to explore the differences in gray matter structural and functional network topological properties between bipolar depression (BD) patients with and without obsessive-compulsive symptoms (OCS).Methods:A total of 90 BD patients (27 males, 63 females; median age 19.0(22.0, 25.0) years) were recruited from the psychiatric outpatient and inpatient departments of the First Affiliated Hospital of Jinan University between March 2018 and December 2022. Fifty healthy controls (19 males, 31 females; median age: 23.0 (20.0, 27.0) years) were also enrolled. The BD patients were divided into two groups based on the presence of OCS: 53 with OCS (OCS group) and 37 without OCS (NOCS group). Resting-state structural and functional MRI data were collected for all participants to construct gray matter structural and functional networks. Graph therory analysis was applied to calculate network topological metrics such as small-world properties. The structural and functional network topological properties were compared among the BD-OCS, BD-nOCS, and control groups. Partial correlation analysis was conducted to examine the association between network topological metrics with significant group differences and Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores. Support vector machines (SVM) were used with these metrics as classification feature values to improve diagnostic accuracy through pairwise group classification.Results:Structural network analysis of gray matter: compared to HC group, both OCS group and NOCS group showed increased shortest path length and standardized characteristic path length (shortest path length: 0.78 and 0.80 vs. 0.69; normalized characteristic path length: 0.48 and 0.49 vs. 0.43), and decreased global efficiency (0.21 and 0.21 vs. 0.24) compared to the HC group (permutation test, all P<0.05). Compared to NOCS and HC groups, the OCS group showed increased nodal centrality and betweenness centrality in the right rolandic operculum and left superior occipital gyrus (permutation test, all P<0.05). Functional network analysis of gray matter: compared to the NOCS group, the OCS group showed increased node efficiency and decreased betweenness centrality in the cerebellum ( t=2.15, -3.04; all P<0.05); compared to HC groups, the OCS group showed decreased betweenness centrality in the cerebellum and left inferior frontal gyrus, along with increased node centrality and nodal efficiency in the right transverse temporal gyrus ( t=-2.99, -3.61, 3.06, 3.10; all P<0.05). In the OCS group, betweenness centrality in the left inferior frontal gyrus positively correlated with Y-BOCS scale obsessive thinking score ( r=0.303, P=0.034). Nodal centrality and node efficiency of the right transverse temporal gyrus negatively correlated with Y-BOCS total score ( r=-0.301, -0.311) and Y-BOCS obsessional thinking scores ( r=-0.385, -0.380) separately(all P<0.05). SVM classification: the combined network features achieved an area under the curve of 0.80 in distinguising OCS from NOCS patients. Conclusion:BD-OCS and BD-nOCS patients both exhibit consistent changes in gray matter structural network topology, with the OCS group displaying more pronounced nodal topological abnormalities. Multi-network feature integration demostrates potential for diagnostic classfication.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To construct the training course content for gastrointestinal endoscopy nurses based on job competency model.Methods:Based on the job competency model, the training course content for gastrointestinal endoscopy nurses was constructed on the basis of systematic literature search and semi-structured interviews combined with the Delphi expert consultation.Results:A total of 21 experts from nine regions including Beijing City, Hebei Province, Inner Mongolia Autonomous Region, Shanxi Province, Hubei Province, Tianjin City, Guangdong Province, Jilin Province, and Zhejiang Province were selected for consultation. There were two rounds of expert consultation. In the first round of expert consultation, 21 questionnaires were issued and 21 valid questionnaires were recovered, with an effective recovery rate of 100.00%, of which nine experts proposed a total of 38 amendments. In the second round of expert consultation, 21 questionnaires were issued and 17 valid questionnaires were recovered, with an effective recovery rate of 80.95%, of which two experts proposed modifications. For the two rounds of consultation, the expert authority coefficients were 0.871 and 0.882 respectively, and the coefficients of variation for each entry were 0 to 0.16 and 0 to 0.20, and the Kendall's harmony coefficients were 0.272 and 0.217 ( P<0.01). The finalized training course content for gastrointestinal endoscopy nurse based on job competency model consisted of four first-level indicators, 19 second-level indicators, and 53 third-level indicators. Conclusions:The training course content for the gastrointestinal endoscopy nurses constructed based on the job competency model is scientific, generalizable, and practical, and can provide reference and guidance for the training of endoscopic specialty nursing personnel.