Cholangiocarcinoma,as a malignant tumor with strong invasiveness and poor prognosis,has a complex metastasis mechanism,and urgently needs in-depth research.Circulating tumor cells(CTC),as the key cell type for tumor cells to shed from the primary site and enter the bloodstream,have significant research significance.In recent years,studies have found that the invasive pseudopodia of CTC play a significant role in the migration and invasion of tumor cells.Among them,in terms of signal transduction pathways,the Rho family GTPases(RhoA,Rac1,Cdc42)work in coordination to regulate the contractility of the pseudofoot,the branching polymerization and orientation of actin,and the phosphoinositide3-kinase/protein kinase B(PI3K/AKT)pathway promotes the assembly of actin and cross-communicates with the Rho family by activating AKT.At the molecular mechanism level,long non-coding RNAs regulate the expression of pseudopolypod-related genes by adsorbing miRNAs and other means.Matrix metalloproteinase(MMP)degrades the extracellular matrix(ECM)to form an invasion positive feedback.In terms of the microenvironment,cancer-associated fibroblast(CAF)and the cytokines such as transforming growth factor-β(TGF-β)secreted by macrophages,epidermal growth factor(EGF),and interleukin-6(IL-6)activate pseudopodia to form signal transduction pathways.ECM hardness and fiber arrangement affect the extension direction of pseudopodia through mechanical force conduction.This article conducted a comprehensive analysis of the biological characteristics of CTC,the formation mechanism of invasive pseudopodia in cholangiocarcinoma,the metastatic features of cholangiocarcinoma cells and their clinical significance,as well as the role of CTC in the metastatic process of cholangiocarcinoma,in order to summarize the existing research results,explore potential therapeutic targets and future research directions,and provide new ideas for the clinical treatment of cholangiocarcinoma.

Cholangiocarcinoma,as a malignant tumor with strong invasiveness and poor prognosis,has a complex metastasis mechanism,and urgently needs in-depth research.Circulating tumor cells(CTC),as the key cell type for tumor cells to shed from the primary site and enter the bloodstream,have significant research significance.In recent years,studies have found that the invasive pseudopodia of CTC play a significant role in the migration and invasion of tumor cells.Among them,in terms of signal transduction pathways,the Rho family GTPases(RhoA,Rac1,Cdc42)work in coordination to regulate the contractility of the pseudofoot,the branching polymerization and orientation of actin,and the phosphoinositide3-kinase/protein kinase B(PI3K/AKT)pathway promotes the assembly of actin and cross-communicates with the Rho family by activating AKT.At the molecular mechanism level,long non-coding RNAs regulate the expression of pseudopolypod-related genes by adsorbing miRNAs and other means.Matrix metalloproteinase(MMP)degrades the extracellular matrix(ECM)to form an invasion positive feedback.In terms of the microenvironment,cancer-associated fibroblast(CAF)and the cytokines such as transforming growth factor-β(TGF-β)secreted by macrophages,epidermal growth factor(EGF),and interleukin-6(IL-6)activate pseudopodia to form signal transduction pathways.ECM hardness and fiber arrangement affect the extension direction of pseudopodia through mechanical force conduction.This article conducted a comprehensive analysis of the biological characteristics of CTC,the formation mechanism of invasive pseudopodia in cholangiocarcinoma,the metastatic features of cholangiocarcinoma cells and their clinical significance,as well as the role of CTC in the metastatic process of cholangiocarcinoma,in order to summarize the existing research results,explore potential therapeutic targets and future research directions,and provide new ideas for the clinical treatment of cholangiocarcinoma.

Objective:To analyze the changes of serum metabolites in patients with acute pancreatitis (AP) by non-targeted metabolomics method.Methods:Serum samples and clinical data of 15 AP patients hospitalized in the Affiliated Hospital of Jiangnan University from August to September 2024 were collected and included in the AP group, including 9 males and 6 females, aged (55.4±15.3) years. The serum and clinical data of 25 patients with colon polyps in the same hospital during the same period of time were collected, including 15 males and 10 females, aged (61.2±11.5) years, and were included in the control group. Serum metabolomic detection was performed using the ultra-high performance liquid chromatography tandem Fourier transform mass spectrometer. The modeling method was orthogonal partial least square discriminant analysis, and principal component analysis was performed on the data matrix to screen the differential metabolites in serum of AP patients. The Kyoto Encyclopedia database of Genes and Genomes was used to annotate differential metabolites, and the pathway of differential metabolite enrichment was analyzed by software.Results:The principal component analysis showed that the contribution ratio of the first principal component was 15.1%, the proportion of the second principal component was 10.8%, and the total proportion of the two was 25.9%. In principal component analysis, two groups of samples can be clearly distinguished and show obvious clustering characteristics. According to the analysis of OPLS-DA model, there were significant differences in serum metabolic profiles between AP group and control group. There were 683 differentially expressed metabolites between the two groups, with 367 differentially expressed metabolites up-regulated compared with the control group and 316 differentially expressed metabolites down-regulated compared with the control group. It is mainly Phosphatidic Acid (Lte4/8: 0) (+ 218%), Omeprazole Sulphone (-38%), and 2-(Propylthio) Nicotinic Acid (2-propyl thionicotinic acid) (-58%), Gein (salicyricetin) (-47%) and so on. Pathway enrichment analysis showed that the differential metabolites in AP patients were mainly concentrated in citric acid cycle, arginine biosynthesis and glycerophospholipid metabolism pathways.Conclusion:Serum metabolites in AP patients change significantly, including citric acid cycle, arginine biosynthesis, glycerophospholipid metabolism.

Intrahepatic cholangiocarcinoma is a malignant tumor with an extremely poor prognosis， and its pathogenesis is complex and remains unclear. In recent years， more and more studies have focused on the role of bile-gut axis in the development and progression of intrahepatic cholangiocarcinoma. Bile-gut axis refers to the complex interaction between bile and gut microbiota， including bile salt metabolism， dynamic changes of microbiota， inflammatory response， and immune system regulation. This article elaborates on the potential mechanisms of bile-gut axis in intrahepatic cholangiocarcinoma， especially gut microbiota dysbiosis， abnormal bile salt metabolism， chronic inflammatory response， and immune system interaction， this article aims to provide new perspectives and possible therapeutic targets for future research and promote the early diagnosis and effective treatment of intrahepatic cholangiocarcinoma.

Post-stroke depression （PSD） represents a common and debilitating complication following stroke， substantially impeding neurorehabilitation outcomes and exerting a profound negative impact on patients' quality of life， while concurrently contributing to increased mortality rates. Despite a growing understanding of PSD， contemporary clinical management continues to encounter multifaceted challenges. This systematic review synthesizes extant literature to delineate pathophysiological mechanisms underlying PSD and to identify evidence-based interventions. By establishing a theoretical foundation， it aims to optimize early diagnostic protocols and personalized therapeutic regimens， thereby enhancing rehabilitation and therapeutic outcomes in stroke patients. Through rigorous evaluation of 14 original studies， this analysis comprehensively examines genetic factors， neurobiological aberrations， immunological factors， and psychosocial stressors contributing to PSD onset and progression， offering critical insights for developing comprehensive treatment strategies.［Funded by Science and Technology Plan Project of Yunnan Provincial Department of Science and Technology （number， 202101AY070001-048）］

Objective In this study,the potential profile characteristics of exercise self-efficacy of patients with inflammatory bowel disease(IBD)were explored,and the influencing factors of different types of patients were an-alyzed,so as to provide a reference for nurses to formulate standardized management measures.Methods From June 2023 to May 2024,a total of 342 hospitalized patients with IBD in tertiary A hospital in Wuxi were recruited as research subjects by a convenience sampling method.The General Information Questionnaire,Exercise Self-effica-cy Scale,Exercise Behavioral Stage Distribution Scale and the Social Support Rating Scale were used for investiga-tion.The latent profile analysis was conducted to classify exercise self-efficacy levels,while multiple Logistic regres-sion analysis was utilized to evaluate the influencing factors.Results A total of 320 valid questionnaires were col-lected,and the effective questionnaire recovery rate was 93.57％.The total score of exercise self-efficacy for IBD pa-tients was(64.61±14.83)points.The exercise self-efficacy was classified into 3 latent categories:low efficacy-somatic emotion group(n=64,20.00％),medium efficacy-work conflict group(n=158,49.38％),and high efficacy-social interfer-ence group(n=98,30.62％).Occupation,recurrence times,comorbid chronic diseases,self-assessed economic pressure,and social support level were found to be influencing factors of the latent profile classification of exercise self-effi-cacy in IBD patients(P＜0.05).Conclusion The levels of exercise self-efficacy of patients with IBD are significant-ly heterogeneous,and there are several important influencing factors.Nursing staff should formulate targeted inter-vention strategies based on the characteristics of exercise self-efficacy in such patients,so as to improve patients' exercise self-efficacy and the effectiveness of disease rehabilitation.

Objective In this study,the potential profile characteristics of exercise self-efficacy of patients with inflammatory bowel disease(IBD)were explored,and the influencing factors of different types of patients were an-alyzed,so as to provide a reference for nurses to formulate standardized management measures.Methods From June 2023 to May 2024,a total of 342 hospitalized patients with IBD in tertiary A hospital in Wuxi were recruited as research subjects by a convenience sampling method.The General Information Questionnaire,Exercise Self-effica-cy Scale,Exercise Behavioral Stage Distribution Scale and the Social Support Rating Scale were used for investiga-tion.The latent profile analysis was conducted to classify exercise self-efficacy levels,while multiple Logistic regres-sion analysis was utilized to evaluate the influencing factors.Results A total of 320 valid questionnaires were col-lected,and the effective questionnaire recovery rate was 93.57％.The total score of exercise self-efficacy for IBD pa-tients was(64.61±14.83)points.The exercise self-efficacy was classified into 3 latent categories:low efficacy-somatic emotion group(n=64,20.00％),medium efficacy-work conflict group(n=158,49.38％),and high efficacy-social interfer-ence group(n=98,30.62％).Occupation,recurrence times,comorbid chronic diseases,self-assessed economic pressure,and social support level were found to be influencing factors of the latent profile classification of exercise self-effi-cacy in IBD patients(P＜0.05).Conclusion The levels of exercise self-efficacy of patients with IBD are significant-ly heterogeneous,and there are several important influencing factors.Nursing staff should formulate targeted inter-vention strategies based on the characteristics of exercise self-efficacy in such patients,so as to improve patients' exercise self-efficacy and the effectiveness of disease rehabilitation.

Objective:To analyze the changes of serum metabolites in patients with acute pancreatitis (AP) by non-targeted metabolomics method.Methods:Serum samples and clinical data of 15 AP patients hospitalized in the Affiliated Hospital of Jiangnan University from August to September 2024 were collected and included in the AP group, including 9 males and 6 females, aged (55.4±15.3) years. The serum and clinical data of 25 patients with colon polyps in the same hospital during the same period of time were collected, including 15 males and 10 females, aged (61.2±11.5) years, and were included in the control group. Serum metabolomic detection was performed using the ultra-high performance liquid chromatography tandem Fourier transform mass spectrometer. The modeling method was orthogonal partial least square discriminant analysis, and principal component analysis was performed on the data matrix to screen the differential metabolites in serum of AP patients. The Kyoto Encyclopedia database of Genes and Genomes was used to annotate differential metabolites, and the pathway of differential metabolite enrichment was analyzed by software.Results:The principal component analysis showed that the contribution ratio of the first principal component was 15.1%, the proportion of the second principal component was 10.8%, and the total proportion of the two was 25.9%. In principal component analysis, two groups of samples can be clearly distinguished and show obvious clustering characteristics. According to the analysis of OPLS-DA model, there were significant differences in serum metabolic profiles between AP group and control group. There were 683 differentially expressed metabolites between the two groups, with 367 differentially expressed metabolites up-regulated compared with the control group and 316 differentially expressed metabolites down-regulated compared with the control group. It is mainly Phosphatidic Acid (Lte4/8: 0) (+ 218%), Omeprazole Sulphone (-38%), and 2-(Propylthio) Nicotinic Acid (2-propyl thionicotinic acid) (-58%), Gein (salicyricetin) (-47%) and so on. Pathway enrichment analysis showed that the differential metabolites in AP patients were mainly concentrated in citric acid cycle, arginine biosynthesis and glycerophospholipid metabolism pathways.Conclusion:Serum metabolites in AP patients change significantly, including citric acid cycle, arginine biosynthesis, glycerophospholipid metabolism.

Objective:To establish a predictive model for myocardial contusion (MC) in patients with rib fractures and evaluate its clinical application value.Methods:A retrospective case-control study was conducted to analyze the clinical data of 370 patients with rib fractures admitted to the Affiliated Jiangsu Shengze Hospital of Nanjing Medical University from January 2017 to December 2019, including 257 males and 113 females, aged 18-95 years [(56.5±14.0)years]. All the patients underwent electrocardiogram examination and myocardial biomarker test within 24 hours on admission, of whom 159 were diagnosed with MC, and 211 with non-MC (NMC). The 370 patients were divided into a training set of 264 patients (106 with MC, 158 with NMC) and a validation set of 106 patients (53 with MC, 53 with NMC) at a ratio of 7∶3 through the completely randomized method. In the training set, the MC group and NMC group were compared in terms of their demographic characteristics, vital signs on admission, types of rib fractures, number of rib fractures, locations of rib fractures, associated thoracic injuries, trauma scores, and laboratory indices. Variables of positive correlation with MC in patients with rib fractures were screened by Spearman correlation analysis, followed by univariate binary Logistic regression analysis for these variables to determine the risk factors for MC in patients with rib fractures. LASSO regression analysis and multivariate Logistic regression analysis were applied to identify the independent risk factors for MC in patients with rib fractures, and the regression equation was constructed. A nomogram prediction model was plotted based on the regression equation with R software. The receiver operating characteristic (ROC) curve was plotted to evaluate the model′s discriminability. Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curves of 1000 repeated samplings by the Bootstrap method were used to evaluate the calibration of the model. The decision curve analysis (DCA) and clinical impact curve analysis (CIC) were plotted to evaluate its clinical efficacy. A risk scoring was performed according to the assigned β coefficient of independent risk factors. Accordingly, the 370 selected patients with rib fractures were divided into low-risk subgroup of 202 patients, moderate-risk subgroup of 108 patients, high-risk subgroup of 50 patients, and extremely high-risk subgroup of 10 patients. The incidence of MC and in-hospital mortality were compared among different subgroups so as to further verify the clinical application value of the predictive model.Results:In the training set, there were significant differences between the MC group and NMC group in bilateral rib fractures, flail chest, number of rib fractures, upper chest proximal sternum segment, upper chest anterolateral segment, upper chest proximal spinal segment, middle chest anterolateral segment, middle chest proximal spinal segment, lower chest anterolateral segment, pneumothorax, mediastinal emphysema, hemothorax, sternal fractures, chest abbreviated injury scale (c-AIS), injury severity score (ISS), new injury severity score (NISS), white blood cell counts, hemoglobin, hematocrit, total cholesterol, low density lipoprotein, albumin, aspartate aminotransferase, alanine aminotransferase, and blood urea nitrogen ( P<0.05 or 0.01). Spearman correlation analysis showed that the bilateral rib fractures, flail chest, number of rib fractures, upper chest proximal sternum segment, upper chest anterolateral segment, upper chest proximal spinal segment, middle chest anterolateral segment, middle chest proximal spinal segment, lower chest anterolateral segment, pneumothorax, hemothorax, sternal fractures, c-AIS, ISS, NISS, white blood cell count, aspartate aminotransferase and blood urea nitrogen were positively correlated with MC ( P<0.05 or 0.01). Univariate binary Logistic regression analysis verified that the above variables with positive correlation were significantly correlated with MC in patients with rib fractures ( P<0.05 or 0.01). The 4 predictor variables screened by LASSO regression analysis were the upper chest anterolateral segment, middle chest proximal spinal segment, pneumothorax, and sternal fractures. Multivariate Logistic regression analysis confirmed that the aforementioned 4 predictor variables were independent risk factors for MC in patients with rib fractures ( P<0.05 or 0.01). The regression equation of the training set was established based on the above independent risk factors: P=e x/(1+e x), with the x=1.57×"upper chest anterolateral segment"+0.73×"middle chest proximal spinal segment"+1.36×"pneumothorax"+2.16×"sternal fractures"-1.10. In the predictive model for MC in patients with rib fractures established based on the equation, the area under the ROC curve (AUC) was 0.77 (95% CI 0.72, 0.83) and 0.77 (95% CI 0.71, 0.82) in the training set and validation set. The H-L goodness-of-fit test showed χ2=2.77, P=0.429 in the training set, and χ2=1.33, P=0.515 in the validation set, indicating that there was no significant difference between the predicted probability and the actual probability of the model ( P>0.05). The calibration curves showed that the bias-corrected curves of the training set and validation set were in good consistency with the actual curves and were both close to the ideal curves. The DCA of the training set and the validation set showed that within the threshold probability range of 0.2-0.8, the predictive model could obtain good net clinical benefits. The CIC of the training set and the validation set indicated that when the threshold probability was >0.4, the population identified as high-risk MC patients by the predictive model highly matched the actual MC patients. Risk scoring of subgroups found that the incidence of MC and in-hospital mortality among the patients with rib fractures were 80.0% and 6.0% in the high-risk subgroup and 90.0% and 20.0% in the extremely high-risk subgroup, significantly higher than those in the low-risk subgroup (24.8%, 1.0%) and the moderate-risk subgroup (55.6%, 1.9%) ( P<0.05). Conclusions:The predictive model for MC in patients with rib fractures constructed based on the upper chest anterolateral segment, middle chest proximal spinal segment, pneumothorax, and sternal fractures has good predictive efficacy and clinical application value.

Objective:To explore the correlation between high cholinergic pathway signaling and cognitive function in patients with Parkinson disease(PD) accompanied with sleep disorder.Methods:PD patients admitted from 2017 to 2022 were divided into PD with sleep disorder group (PD-SD group) ( n=56) and PD without sleep disorder group (PD-NSD group) ( n=41) according to the Parkinson's disease sleep scale (PDSS) score. All participants underwent magnetic resonance imaging examination.All patients were evaluated by the PDSS, Hoehn-Yahr (H-Y), Montreal cognitive assessment scale (MoCA), and cholinergic pathways hyper intensities scale (CHIPS). The difference of cognitive function between the two groups and the correlation between CHIPS and cognitive function were analyzed.Independent sample t-test, Spearman correlation analysis, and binary Logistic regression analysis were performed on the data by SPSS 26.0 statistical software. Results:(1)The MoCA score of the PD-SD group (22.00 (5.00)) was lower than that of the PD-NSD group (26.00 (5.00)) ( Z=-3.830, P<0.05). The total and all aspects scores of CHIPS in PD-SD group were higher than those in PD-NSD group(the total score of the low external capsule: 12.00(8.00), 0(8.00), the total score of the high external capsule: 12.00(2.00), 6.00(9.00), the total score of the radial crown: 8.00(0), 4.00(4.00), the total score of the centrum semiovale: 3.00(4.00), 0(2.00), the total score of the right side: 16.00(9.00), 5.00(10.00), the total score of the left side: 17.00(6.00), 7.00(9.00), the total score of CHIPS: 32.00(14.00), 14.00(20.00))( Z=-5.081, -5.873, -4.933, -3.211, -5.562, -6.232, -5.995, all P<0.05). (2)The correlation analysis between the score of CHIPS and cognitive function in the PD-SD group showed that, the total score of the low external capsule ( r=-0.286), the total score of the centrum semiovale ( r=-0.307), the total score of the right side ( r=-0.376), the total score of the left side ( r=-0.284) and the total score of CHIPS ( r=-0.349) were negatively correlated with MoCA(all P<0.05). (3)Binary Logistic regression analysis showed that white matter lesions in centrum semiovale, low inner capsule, right and left leukodystrophy were not influence factors for cognitive impairment (all P>0.05). Conclusion:PD patients with sleep disorders have lower cognitive function scores, higher CHIPS scores, and significant changes in white matter lesions compared to those without sleep disorders. In PD patients with sleep disorders, the higher the CHIPS score, the lower the cognitive function score, and the more significant the rate of cognitive impairment occurrence and development.