ObjectiveTo investigate the effect and mechanism of transplantation of human umbilical cord mesenchymal stem cell （hUC-MSC） with overexpression of the Numb gene in the treatment of cholestatic liver fibrosis （CLF）. MethodsThe technique of lentiviral transfection was used to induce the overexpression of the Numb gene in hUC-MSC （hUC-MSC^Numb-OE）， and hUC-MSC transfected with empty vector （hUC-MSC^OE-EV） was used as negative control. Bile duct ligation （BDL） was performed to establish a rat model of CLF， and then the rats were randomly divided into BDL group， hUC-MSC group， hUC-MSC^OE-EV group， and hUC-MSC^Numb-OE group， while a sham-operation group was also established. The rats in the intervention groups were given a single splenic injection of the corresponding cells after BDL， and samples were collected at the end of week 4. Related indicators were measured， including serum biochemistry， liver histopathology， the content of hydroxyproline （Hyp） in the liver， hepatic stellate cell activation， ductular reaction， liver regeneration， and the expression levels of key molecules in the Numb-p53 signaling axis. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the BDL group， the hUC-MSC group and the hUC-MSC^OE-EV group had significant reductions in the levels of serum biochemical parameters （aspartate aminotransferase， gamma-glutamyl transpeptidase， total bile acid， total bilirubin， and direct bilirubin）， liver fibrosis markers （the content of Hyp and the expression levels of alpha-smooth muscle actin， tumor necrosis factor-α， and transforming growth factor-beta 1）， and ductular reaction markers （the expression levels of CK7 and CK19） （all P <0.05）， and compared with the hUC-MSC^OE-EV group， the hUC-MSC^Numb-OE group had significantly greater improvements in the above indicators （all P <0.05）. In addition， compared with the hUC-MSC^OE-EV group， the hUC-MSC^Numb-OE group had significant improvements in the expression levels of liver regeneration-related markers （albumin and hepatocyte nuclear factor 4α） and the molecules associated with the Numb-p53 signaling axis （Numb， pNumb， Mdm2， and p53） （all P <0.05）. ConclusionOverexpression of the Numb gene can enhance the therapeutic effect of hUC-MSC on CLF， possibly by activating the Numb-PTB^L-p53-HNF4α axis， promoting the hepatic differentiation of hUC-MSCs and subsequently enhancing liver regeneration.

[摘 要] 目的：探讨环指蛋白8（RNF8）对子宫内膜癌（EC）细胞顺铂（CDDP）敏感性的影响及可能机制。方法：基于在线数据库分析RNF8在EC组织中的表达及拷贝数变异；采用慢病毒介导shRNA稳定敲低Ishikawa细胞中RNF8表达并进行CDDP处理，按sh-NC+溶剂对照、sh-RNF8+溶剂对照、sh-NC + CDDP、sh-RNF8 + CDDP分组处理，并设置sh-RNF8 + CDDP + KU60019抑制实验。采用CCK-8、克隆形成、Annexin V-FITC/PI流式细胞术、Hoechst 33258/PI染色、WB及γ-H2AX免疫荧光检测细胞活力、克隆形成、凋亡、DNA损伤累积及ATM/CHK2通路相关蛋白表达。结果：RNF8在EC组织和细胞中表达升高。RNF8敲低降低细胞存活率和IC50，抑制克隆形成，并进一步增强CDDP诱导的凋亡；同时BAX、Cleaved-Caspase-3和γ-H2AX表达升高，BCL-2、p-ATM、p-CHK2和RAD21表达降低。KU60019处理进一步促进DNA损伤累积和细胞凋亡，并降低细胞活力。结论：RNF8可能通过ATM/CHK2轴促进DNA损伤应答并降低EC细胞对CDDP的敏感性；敲低RNF8可增加DNA损伤累积并增强CDDP敏感性。

Objective:To explore the clinical efficacy of targeted epidural space block combined with acupotomy in the treatment for lumbar disc herniation(LDH)under the monitor of X-ray image,and to analyze the safety of its operation.Methods:A total of 60 LDH patients who admitted to Department of Pain,Jiangyin Affiliated Hospital of Nanjing University of Chinese Medicine from January 2022 to September 2023 were selected,and they were randomly divided into observation group and control group as random number table,with 30 cases in each group.The observation group adopted targeted epidural space block combined with acupotomy under monitor with X-ray for anterior epidural space,while the control group adopted conventionally epidural block,all of which were treated only once.The Visual Analogue Scale(VAS)scores and Oswestry Disability Index(ODI)scores of two groups before treatment and at the 3rd day,7th day and 30th day after treatment were compared.At the 30th day after treatment,the curative effects of two groups were evaluated according to ODI scores,at the same time,the safe distance between puncture and acupotomy in patients of observation group was analyzed.Results:The effective rates of the treatment of observation group and control group were respectively 96.67%and 70%,and the difference of that between the two groups was statistically significant(x2=7.680,P<0.05).The VAS scores of the two groups at the 3rd day,7th day and 30th day after treatment were lower than those before treatment,and the observation group(2.30±0.87),(1.53±0.86)and(1.47±0.81)were lower than the control group(4.43±0.89),(2.23±0.89)and(4.27±0.82),the difference was statistically significant(t=9.374,3.098,13.306,P<0.05).The ODI scores of the two groups were at the 3rd day,7th day and 30th day after treatment were lower than those before treatment,and the differences of them between two groups were statistically significant(t=7.112,10.690,10.151,P<0.05).In 30 patients of observation group,the gap between the dural sac and the inner edge of facet joint on the affected side was larger than 4.0mm in 25 cases,and all of them can safely conduct puncture with targeting.Conclusion:The targeted epidural space block combined with acupotomy by adopting monitor with X-ray image can effectively improve the symptom of pain,and activities of daily life of LDH patients,which treatment is safe and effective.

Objective:To explore the application effect of nurse-led navigation service in the economic toxicity management of prostate cancer patients, and to provide reference for the economic toxicity management of prostate cancer patients.Methods:By using the method of historical control study, 60 patients with prostate cancer admitted to Beijing Friendship Hospital, Capital Medical University were selected as the research subjects by convenience sampling from March to August 2023. According to the time sequence of admission, 30 patients admitted from March to May 2023 were included in the control group, and 30 patients admitted from June to August 2023 were included in the intervention group. The control group was given routine nursing, and the intervention group was given nurse-led navigation service. The patients were evaluated at admission, discharge and 3 months after discharge using the Comprehensive Scores for Financial Toxicity Based on the Patient-Reported Outcome Measures and the Compliance Behavior Questionnaire.Results:The age of the control group patients was ( 70.07 ± 5.76 ) years, and the age of the intervention group was ( 68.80 ± 7.22 ) years. The economic toxicity scores of the intervention group at discharge and 3 months after discharge were ( 35.13 ± 4.84 ) and ( 37.90 ± 4.89 ), respectively, which were higher than those of the control group ( 21.70 ± 2.52 ) and ( 21.33 ± 2.94 ), the differences were statistically significant ( t=-13.48, -15.89, both P<0.05 ). The complete compliance rate of the control group was 46.67 % (14/30), which was lower than 73.33% (22/30) of the intervention group, and the difference between the two groups was statistically significant ( χ2=4.44, P<0.05). Conclusions:Nurse-led navigation services can effectively monitor and evaluate the level of economic toxicity in patients with prostate cancer, reduce the degree of economic toxicity in patients with prostate cancer, help improve patients′ compliance behavior, and help patients cope with economic toxicity in a positive way.

Objective Biomarkers associated with liver cancer CD8+T cells identified and prognostic models established by single-cell RNA sequencing and Bulk RNA sequencing.Methods Single-cell datasets of liver cancer were downloaded from the GEO database and differentially expressed genes in CD8+T cells between patients and controls were extracted by single-cell RNA sequencing.Gene expression profiling data and clinical data of liver cancer were downloaded from the TCGA database,and modular genes with relevance to CD8+T cells were screened using the CIBERSORT algorithm and WGCNA technology.Differential genes and modular genes were taken as intersecting genes and subjected to GO and KEGG analyses,and a prognostic model was established by applying univariate COX regression analysis and LASSO algorithm.The predictive effectiveness of the model in both internal and external datasets is validated by K-M and ROC curves.The effectiveness of the model's prediction in both internal and external datasets was validated by K-M and ROC curves.High-and low-risk groups were divided according to the median value of the risk score,and the distribution of infiltrating immune cells and tumor mutations between high-and low-risk groups were analyzed.Results A prognostic model with nine genes was constructed,and the K-M and ROC curves showed that the model had good predictive ability in both the internal and external datasets,and there were significant differences in the distribution of infiltrating immune cells and gene mutations in the high-and low-risk groups.Conclusion In this study,a novel prognostic model based on CD8+T cells was developed using bioinformatic method in combination with single-cell RNA sequencing and Bulk RNA sequencing technologies,which provides a reliable theoretical basis for prognostic improvement and survival prediction of liver cancer patients.

Abstract The accelerated development of digital technology has brought new opportunities for the innovation of adolescent mental health service models. Through international case analysis, the paper finds that developed countries have established adolescent mental health service systems with significant digitalempowerment characteristics. For example, the Crisis Text Line of US realizes riskgraded responses by relying on language processing technology, the Kooth platform of UK develops an Artificial Intelligence (AI) counseling system using cognitivebehavioral therapy, ReachOut of Australia has established a digital mental health resource library, SPARX of New Zealand reshapes the treatment experience with a gamified interface, and "Annie Advisor" of Finland pioneers the application of affective computing technology. The above innovative practices present six characteristics: precision service supply based on big data, intervention systems integrated with artificial intelligence, anonymous mechanisms to ensure privacy and security, highly accessible services that break through time and space limitations, human-machine collaborative dual track support models, and interdisciplinary service systems, providing many references and implications for China to continuously and deeply explore digital technologyempowered youth mental health services.

Purpose To investigate the value of intratumoral and different ranges of peritumoral radiomics features of the primary lesion of breast cancer based on ultrasound images in predicting axillary lymph node metastasis(ALNM),and to explore the best peritumoral range.Materials and Methods A total of 312 cases confirmed by pathology in breast cancer patients with preoperative ultrasound images from June 2022 to February 2024 in Binzhou Medical University Hospital were retrospectively enrolled,and were randomly divided into training set and testing set according to the 7∶3 proportion.The tumor border of the ultrasound images was manually delineated as the intratumoral region of interest,and the peritumoral region of interest was obtained by conformal automatically extended different range(1,2,3,4 and 5 mm).The radiomics features were screened.Based on the selected optimal radiomics features,random forest classifier was used to construct three types of radiomics models(intratumoral model,5 peritumoral models,and 5 intratumoral+peritumoral models).The performance and clinical practicability of the models was assessed the area under the curve(AUC)and decision curve analysis.Results The AUCs of the intratumoral+peritumoral radiomics models for predicting ALNM in the training set and test set were 0.807-0.873,0.728-0.780,respectively,which were superior to those of the single intratumoral radiomics models(0.822,0.758)and peritumoral radiomics models(0.722-0.768,0.650-0.710).The intratumoral+peritumoral 3 mm radiomics model showed the best predictive performance,with AUC of 0.873 in the training set and 0.780 in the test set,respectively,and the decision curve showed that the model had a good clinical net benefit.Conclusion The combined intratumoral and peritumoral radiomics features of the primary lesion of breast cancer based on ultrasound images can effectively predict ALNM,and 3 mm peritumoral may be the best peritumoral range for predicting ALNM.

Objective:Dynamic navigation approaches are widely employed in the context of implant placement surgery.Implant surgery can be divided into immediate and delayed surgery according to the time of implantation.This retrospective study was developed to compare the accuracy of dynamic naviga-tion system for immediate and delayed implantations.Methods:In the study,medical records from all patients that had undergone implant surgery between August 2019 and June 2021 in the First Clinical Di-vision of the Peking University School and Hospital of Stomatology were retrospectively reviewed.There were 97 patients[53 males and 44 females,average age(47.14±11.99)years]and 97 implants(de-layed group:51;immediate group:46)that met with study inclusion criteria and were included.Implant placement accuracy was measured by the superposition of the planned implant position in the preoperative cone beam computed tomography(CBCT)image and the actual implant position in the postoperative CBCT image.The 3-dimensional(3D)entry deviation(3D deviation in the coronal aspect of the alveolar ridge),3D apex deviation(3D deviation in the apical area of the implant)and angular deviation were analyzed as the main observation index when comparing these two groups.The 2-dimensional(2D)horizontal deviation of the entry point and apex point,and the deviation of entry point depth and apex point depth were the secondary observation index.Results:The overall implant restoration survival rate was 100％,and no mechanical or biological complications were reported.The implantation success rate was 100％.The 3D entry deviation,3D apex deviation and angular deviation of all analyzed implants were(1.146±0.458)mm,(1.276±0.526)mm,3.022°±1.566°,respectively;while in the de-layed group these respective values were(1.157±0.478)mm,(1.285±0.481)mm and 2.936°±1.470° as compared with(1.134±0.440)mm,(1.265±0.780)mm,3.117°±1.677° in the immediate group.No significant differences(P=0.809,P=0.850,P=0.575)in accuracy were observed when comparing these two groups.Conclusion:Dynamic computer-assisted implant surgery system promotes accurate implantation,and both the immediate and delayed implantations exhibit similar levels of accura-cy under dynamic navigation system that meets the clinical demands.Dynamic navigation system is feasi-ble for immediate implantation.

Objective:To investigate the relationship between collateral circulation and viable myocardium (VM) in patients with coronary chronic total occlusion (CTO).Methods:A total of 88 patients (76 males, 12 females, age (61.0±9.8) years) with coronary CTO were retrospectively analyzed. All patients underwent both 99Tc m-methoxyisobutylisonitrile (MIBI) SPECT myocardial perfusion imaging and 18F-FDG PET myocardial metabolism imaging for evaluation of VM at the First People′s Hospital of Changzhou between September 2012 and June 2023, and they were scheduled to receive coronary revascularization. The perfusion/metabolism mismatch myocardium was regarded as VM. The VM index within the CTO region was calculated, reflected the quantities of VM: VM index=(summed rest score within the CTO region-summed 18F-FDG uptake score within the CTO region)/reduced perfusion myocardial segments×4×100%. Rentrop grading of collateral circulation was performed based on coronary angiography. The differences of VM index within the CTO region between poor-developed (PD, Rentrop grade 0-1) and well-developed (WD, Rentrop grade 2-3) collateral circulation, and among different Rentrop grades were analyzed by the independent-sample t test or Kruskal-Wallis rank sum test. The linear regression analysis was used to evaluate the relationship between Rentrop grading and VM index within the CTO region. The ROC curve was constructed to analyze the predictive value of Rentrop grading for VM within the CTO region. Results:The VM index within the CTO region was significantly higher in WD patients ( n=54) compared to those in PD patients ( n=34): (45.8±16.3)% vs (21.3±16.7)% ( t=-6.79, P<0.001). Moreover, the VM index within the CTO region increased with increased Rentrop grade, and there was a significant difference among 4 groups ( H=30.22, P<0.001). Multiple linear regression analysis showed that only the Rentrop grading was an independent influencing factor for the VM index within the CTO region ( β=9.29, 95% CI: 5.91-12.67, P<0.001). ROC curve showed that the sensitivity and specificity of Rentrop grading score≥2 for predicting the presence or absence of VM within the CTO region were 65.8%(52/79) and 7/9, with the AUC of 0.724(95% CI: 0.619-0.814). Conclusions:In CTO patients who are scheduled for revascularization and evaluation of VM, as the Rentrop grading increases, the VM index within the CTO region also increases. The presence of VM within the CTO region can be predicted with Rentrop grading score ≥2.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.