ObjectiveTo investigate the efficacy of sequential tenofovir alafenamide fumarate （TAF） therapy versus the regimen of entecavir （ETV） combined with TAF in chronic hepatitis B （CHB） patients experiencing low-level viremia （LLV） after ETV therapy， as well as their impact on virologic response， liver and renal function， and blood lipid levels. MethodsA total of 217 CHB patients with LLV after ETV treatment who were admitted to Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from May 2020 to December 2023 were enrolled， and according to the treatment regimen， they were divided into TAF group （180 patients receiving sequential TAF therapy） and combined group （37 patients receiving ETV+TAF therapy）. The propensity score matching （PSM） method was used to match the patients at a ratio of 1∶1， and finally 37 patients were included in each group to balance the baseline confounding factors. The two groups were compared in terms of hepatitis B virus DNA （HBV DNA） clearance rate， hepatitis B envelope antigen （HBeAg） clearance rate， liver and renal function parameters （liver stiffness measurement ［LSM］， platelet count ［PLT］， aspartate aminotransferase ［AST］， alanine aminotransferase ［ALT］， and creatinine ［Cr］）， blood lipid levels （total cholesterol ［TC］， triglyceride ［TG］， high-density lipoprotein cholesterol ［HDL-C］， and low-density lipoprotein cholesterol ［LDL-C］）， and the incidence rate of adverse reactions. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the paired t-test was used for comparison within each group； the chi-square test was used for comparison of categorical data between groups. ResultsAfter 48 weeks of treatment， compared with the TAF group， the combined group had significantly higher HBV DNA clearance rate （86.49% vs 59.46%， χ²=6.852， P=0.009） and HBeAg clearance rate （59.46% vs 35.14%， χ²=4.391， P=0.036）. After treatment， compared with the TAF group， the combined group had significantly lower levels of LSM （7.01±1.50 kPa vs 7.90±1.68 kPa， t=2.404， P=0.019）， AST （18.02±2.28 U/L vs 21.12±2.85 U/L， t=5.166， P<0.001）， and ALT （19.85±3.86 U/L vs 22.00±3.90 U/L， t=2.383， P=0.020） and significantly higher levels of PLT ［（218.35±42.60）×10⁹/L vs （192.82±44.13）×10⁹/L， t=2.532， P=0.014］ and Cr （70.92±6.54 μmoL/L vs 67.60±6.13 μmoL/L， t=2.253， P=0.027）. After treatment， there was a slight increase in the level of TC in both the TAF group （5.60±0.89 mmol/L vs 5.18±0.85 mmol/L， t=2.076， P=0.041） and the combined group （5.45±0.80 mmol/L vs 5.02±0.83 mmol/L， t=2.269， P=0.026）. There was no significant difference in the incidence rate of adverse reactions between the TAF group and the combined group （21.62% vs 18.92%， χ²=0.084， P=0.772）. ConclusionFor ETV-treated CHB patients experiencing LLV， compared with sequential TAF therapy， the ETV+TAF combined therapy can effectively increase virologic response rate， alleviate liver fibrosis， and improve liver function， whereas sequential TAF therapy has less impact on renal function. Sequential or combined therapy with TAF may induce a slight increase in the level of TC， which should be taken seriously in clinical practice.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

RNA-binding protein human antigen R(HuR)is a protein product of the embryonic lethal abnormal vision gene(ELAVL).It is widely expressed in human cells and primarily regulates mRNA stability through post-transcriptional mecha-nisms,particularly by binding to AU-enriched elements(AR-Es).Recent studies have indicated that HuR interacts with non-coding RNAs to participate in the regulation of gene expression,including long non-coding RNAs,circular RNAs,microRNAs,and vault RNAs.The interactions between HuR and these ncR-NAs play a crucial role in the occurrence and development of va-rious diseases,including tumors.Since there are already reviews summarizing the research on tumors,this review mainly focuses on summarizing the role of HuR-ncRNA interactions in diseases other than tumors.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

Objective To design a digital intelligence-driven critical treatment platform to implement integrated treatment procedure inside and outside the hospital and intelligent whole-course managment from pre-hospital emergency care to discharge for critically ill patients.Methods The platform was designed with 5G,IoT,big data and aritificial intelligence techniques and developed with Java language,which adopted Oracle database-based data management and front-end and back-end separation mode,with the front end realized by Vue.js framework and the back end by microservice architecture.There were five functional modules for pre-hospital emergency care,multidisciplinary joint diagnosis and treatment,critical care,quality control management and post-discharge follow-up involved in the platform.Results The platform developed simplified the treatment procedure,enhanced the timeliness of emergency care,decreased the workload of nursing staffs and improved medical service efficiency and working efficiency effectively.Conclusion The platform increases first aid quality and treatment efficiency and provides critically ill patients with high-quality medical experience.[Chinese Medical Equipment Journal,2025,46(1):38-43]

Aim To explore the potential mechanisms underlying therapeutic effects of cordycepin in asthma by utilizing network pharmacology,molecular docking,and in vitro cellular validation.Methods The thera-peutic targets associated with asthma and the drug tar-gets of cordycepin were systematically identified through comprehensive database searches.An overlap analysis of the two gene sets was performed,followed by the construction of a protein-protein interaction(PPI)network and topological analysis to identify the core targets.The core targets were subjected to Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway a-nalysis and Gene Ontology(GO)enrichment analysis,and a drug-target-pathway network was constructed.To validate the interaction between cordycepin and core targets,molecular docking and molecular dynamics sim-ulations were conducted.Subsequently,the pharmaco-logical effects and underlying mechanisms of cordyce-pin were validated in vitro using Beas-2B cells,emplo-ying Cell Counting Kit-8(CCK-8)assay and quantita-tive real-time reverse transcription PCR(RT-qPCR).Results A total of 438 potential targets of cordycepin were identified,113 of which overlapped with asthma-related therapeutic targets.Topological analysis based on the PPI network revealed 22 core targets.Using KEGG enrichment analysis,165 significantly enriched pathways were identified,including the TNF and HIF-1 signaling pathways.Molecular docking analysis re-vealed high binding affinities between cordycepin and select core targets,which further corroborated by mo-lecular dynamics simulations.In vitro experiments showed that after cordycepin pretreatment,the upregu-lation of MAPK1,HIF1A,MTOR,MYC,IL10,and JUN mRNA was significantly rescued in HDM-stimulated Beas-2B cells.Conclusions Cordycepin exerts anti-asthmatic effects by targeting MAPK1 and other key molecules,thereby providing a scientific foundation for its further development and clinical application.

RNA-binding protein human antigen R(HuR)is a protein product of the embryonic lethal abnormal vision gene(ELAVL).It is widely expressed in human cells and primarily regulates mRNA stability through post-transcriptional mecha-nisms,particularly by binding to AU-enriched elements(AR-Es).Recent studies have indicated that HuR interacts with non-coding RNAs to participate in the regulation of gene expression,including long non-coding RNAs,circular RNAs,microRNAs,and vault RNAs.The interactions between HuR and these ncR-NAs play a crucial role in the occurrence and development of va-rious diseases,including tumors.Since there are already reviews summarizing the research on tumors,this review mainly focuses on summarizing the role of HuR-ncRNA interactions in diseases other than tumors.

In recent years, significant progress has been made in the treatment of chronic constipation, with high-quality studies emerging in areas such as fecal microbiota transplantation (FMT), sacral neuromodulation (SNM), acupuncture, and surgical techniques. The therapeutic approach is shifting from a traditional "medication and surgery" model toward an integrated strategy that includes dietary and defecation habit adjustment, FMT, SNM, acupuncture, pharmacotherapy, and surgery. Although FMT can partially improve stool frequency and consistency, its standardization and long-term efficacy require further validation. SNM demonstrates limited effectiveness in treating chronic constipation and is relatively cost-inefficient. Electroacupuncture remains controversial, though some studies support its value. Biofeedback therapy is recommended by multiple guidelines as the first-line treatment for dyssynergic defecation (DD), with portable home-based biofeedback systems showing considerable potential. For internal rectal prolapse (IRP) and rectocele (RC), various surgical options exist without a clear superiority, though laparoscopic ventral rectopexy (VMR) is increasingly favored due to its low recurrence rate and high patient satisfaction. In the surgical management of slow transit constipation (STC), total colectomy with ileorectal anastomosis remains the mainstream approach, while subtotal colectomy is gaining attention as an alternative.

Aim To explore the potential mechanisms underlying therapeutic effects of cordycepin in asthma by utilizing network pharmacology,molecular docking,and in vitro cellular validation.Methods The thera-peutic targets associated with asthma and the drug tar-gets of cordycepin were systematically identified through comprehensive database searches.An overlap analysis of the two gene sets was performed,followed by the construction of a protein-protein interaction(PPI)network and topological analysis to identify the core targets.The core targets were subjected to Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway a-nalysis and Gene Ontology(GO)enrichment analysis,and a drug-target-pathway network was constructed.To validate the interaction between cordycepin and core targets,molecular docking and molecular dynamics sim-ulations were conducted.Subsequently,the pharmaco-logical effects and underlying mechanisms of cordyce-pin were validated in vitro using Beas-2B cells,emplo-ying Cell Counting Kit-8(CCK-8)assay and quantita-tive real-time reverse transcription PCR(RT-qPCR).Results A total of 438 potential targets of cordycepin were identified,113 of which overlapped with asthma-related therapeutic targets.Topological analysis based on the PPI network revealed 22 core targets.Using KEGG enrichment analysis,165 significantly enriched pathways were identified,including the TNF and HIF-1 signaling pathways.Molecular docking analysis re-vealed high binding affinities between cordycepin and select core targets,which further corroborated by mo-lecular dynamics simulations.In vitro experiments showed that after cordycepin pretreatment,the upregu-lation of MAPK1,HIF1A,MTOR,MYC,IL10,and JUN mRNA was significantly rescued in HDM-stimulated Beas-2B cells.Conclusions Cordycepin exerts anti-asthmatic effects by targeting MAPK1 and other key molecules,thereby providing a scientific foundation for its further development and clinical application.

Objective:By combining image memory with educational games, electrocardiogram (ECG) images were integrated with card games to simplify complex ECG knowledge and visualize abstract concepts. This approach stimulated students' motivation to learn within the game, thereby enhancing their cognitive abilities and aiding them in mastering ECG-related knowledge.Methods:Through literature search and brainstorming, ECG learning flash cards and game process were designed. Using the convenience sampling method, 55 medical students from a university were selected to conduct the self-designed questionnaire before and after using ECG flash cards to evaluate the efficacy of flash cards in enhancing ECG learning outcomes. A descriptive qualitative study was conducted on the satisfaction with the flash cards.Results:Before the intervention, there was no significant difference in the score of students from different majors. For students who had studied ECG within 1 month and 6 months, the difference in correct recognition rate between them was relatively small, which were 57.50% and 54.51%, respectively. For students who had not studied ECG, the correct recognition rate after training was only 18.06%. After the intervention, 42 valid questionnaires were collected. The overall correct rate of ECG recognition increased by 17.86%. The correct recognition rate of ventricular fibrillation increased significantly from 30.91% to 64.29%; the correct recognition rate of supraventricular tachycardia was improved only by 5.50%. The correct ECG recognition rate was significantly higher after the intervention than before the intervention ( P<0.01). The results of qualitative interviews indicated that the ECG game cards were interesting, practical, and generalizable. However, there was room for improvement in the distinctiveness of key graphics, the richness of information on cards, and the diversity of rule design. Conclusions:ECG recognition is hard to master for beginners. The use of ECG flash cards simplifies the process of ECG recognition and stimulates students' initiative in learning, thus improving the overall correct ECG recognition rate.