[摘 要] 目的：探讨lncRNA核内富集丰富转录本1（NEAT1）调控miR-1287-5p/DNA损伤诱导转录本4（DDIT4）轴对卵巢癌SKOV3细胞增殖、凋亡和侵袭的影响及其机制。方法：收集2023年6月至2024年6月期间湖北医药学院附属随州医院手术切除的27例卵巢癌患者的癌及癌旁组织标本，以及正常人卵巢上皮细胞IOSE80和卵巢癌细胞系SKOV3、CAOV3和A2780，RT-qPCR检测卵巢癌组织与细胞中lncRNA NEAT1、miR-1287-5p及DDIT4 mRNA表达。将SKOV3细胞分为Ctrl组、si-NC组、si-NEAT1组、si-NEAT1 + anti-miR-NC组、si-NEAT1 + anti-miR-1287-5p组、si-NEAT1 + vector组、si-NEAT1 + OE-DDIT4组。CCK-8法、克隆形成实验、流式细胞术、Transwell实验分别检测各组细胞增殖、凋亡及侵袭能力，WB法检测细胞中DDIT4、细胞周期蛋白D1（cyclin D1）、p53、迁移侵袭增强子1（MIEN1）蛋白水平。双萤光素酶报告基因验证lncRNA NEAT1与miR-1287-5p/DDIT4靶向结合关系，RNA pull-down实验、RNA免疫沉淀实验分别验证lncRNA NEAT1与miR-1287-5p、miR-1287-5p与DDIT4的靶向结合关系。另设pcDNA组（转染空载体pcDNA3.1）和pc-NEAT1 组（转染pcDNA-NEAT1）以验证NEAT1过表达效应。结果：卵巢癌组织中lncRNA NEAT1、DDIT4 mRNA表达水平显著高于癌旁组织（P < 0.05），而miR-1287-5p表达显著低于癌旁组织（P < 0.05）。敲低lncRNA NEAT1后，与Ctrl组和si-NC组相比，si-NEAT1组lncRNA NEAT1表达、DDIT4 mRNA表达均显著降低（均P < 0.05），miR-1287-5p 表达显著升高（P < 0.05）；而过表达lncRNA NEAT1则下调miR-1287-5p表达并上调DDIT4表达，呈现与敲低实验相反的调控效应；敲低lncRNA NEAT1后，克隆形成数、细胞增殖活性、细胞侵袭数均显著降低（均P < 0.05），细胞凋亡率显著升高（P < 0.05）；DDIT4、cyclin D1、MIEN1蛋白表达均显著降低（均P < 0.05），p53蛋白表达显著升高（P < 0.05）。进一步实验证实，anti-miR-1287-5p或OE-DDIT4均可减弱si-NEAT1对SKOV3细胞增殖和侵袭的抑制作用，同时减弱其对细胞凋亡的促进作用。lncRNA NEAT1靶向调控miR-1287-5p/DDIT4。结论：lncRNA NEAT1通过靶向调控miR-1287-5p/DDIT4轴促进SKOV3细胞增殖和侵袭，抑制细胞凋亡。

Objective To explore the predictive value of ultra-sound(US)combined with multi-sequence MRI in a clinical-deep learning radiomics nomogram(DLRN)for the short-term efficacy of neoadjuvant chemotherapy(NAC)in patients with triple-negative breast cancer(TNBC).Methods A total of 122 TNBC patients from five hospitals were retrospectively analyzed,and divided into training group(72 cases)and validation group(50 cases).The clinical and pathological data,NAC regimens,and imaging data were collected.The lesions and its surrounding 10-unit voxels from US and MRI images were retained as the region of interest(ROI).Pyradiomics software and a ResNet152 convolutional neural network(CNN)framework were used to extract radiomics and deep learning features to construct a clinical-DLRN with outcome dimension fusion.The receiver operating characteristic(ROC)curve and calibration curve were plotted,and five-fold cross-validation decision curve were used to verify the model's clinical effec-tiveness.Results The clinical-DLRN constructed by US combined with multi-sequence MRI showed that area under the curve(AUC)was 0.967[95％confidence interval(CI)0.782-0.967]and accuracy(ACC)was 0.900,respectively.The five-fold cross-validation decision curve showed good generalization,with the highest clinical net benefit between risk thresholds of 0.72 and 0.96.Conclusion The clinical-DLRN integrating US and multi-sequence MRI has the best efficacy in predicting the short-term efficacy of NAC in TNBC patients,which offering potential guidance for personalized TNBC treatment.

Objective To explore the predictive value of ultra-sound(US)combined with multi-sequence MRI in a clinical-deep learning radiomics nomogram(DLRN)for the short-term efficacy of neoadjuvant chemotherapy(NAC)in patients with triple-negative breast cancer(TNBC).Methods A total of 122 TNBC patients from five hospitals were retrospectively analyzed,and divided into training group(72 cases)and validation group(50 cases).The clinical and pathological data,NAC regimens,and imaging data were collected.The lesions and its surrounding 10-unit voxels from US and MRI images were retained as the region of interest(ROI).Pyradiomics software and a ResNet152 convolutional neural network(CNN)framework were used to extract radiomics and deep learning features to construct a clinical-DLRN with outcome dimension fusion.The receiver operating characteristic(ROC)curve and calibration curve were plotted,and five-fold cross-validation decision curve were used to verify the model's clinical effec-tiveness.Results The clinical-DLRN constructed by US combined with multi-sequence MRI showed that area under the curve(AUC)was 0.967[95％confidence interval(CI)0.782-0.967]and accuracy(ACC)was 0.900,respectively.The five-fold cross-validation decision curve showed good generalization,with the highest clinical net benefit between risk thresholds of 0.72 and 0.96.Conclusion The clinical-DLRN integrating US and multi-sequence MRI has the best efficacy in predicting the short-term efficacy of NAC in TNBC patients,which offering potential guidance for personalized TNBC treatment.

Obesity usually exacerbates the immunosuppressive tumor microenvironment (ITME), hindering CD8⁺ T cell infiltration and function, which further represents a significant barrier to the efficacy of immunotherapy. Herein, a multifunctional liposomal system (CR-Lip) for encapsulating celastrol (CEL) was utilized to remodel obesity-related ITME and improve cancer immunotherapy, wherein Ginsenoside Rg3 (Rg3) was detected interspersed in the phospholipid bilayer and its glycosyl exposed on the surface of the liposome. CR-Lip had a relatively uniform size (116.5 nm), facilitating favorable tumor tissue accumulation through the interaction between Rg3 and glucose transporter 1 overexpressed in obese tumor cells. Upon reaching the tumor region, CR-Lip was found to induce the immunogenic cell death (ICD) of HFD tumor cells. Notably, the level of PHD3 in HFD tumor cells was effectively boosted by CR-Lip to effectively block metabolic reprogramming and increase the availability of major free fatty acids fuel sources. In vivo, experiments studies revealed that the easy-obtained nano platform stimulated enhanced the production of various cytokines in tumor tissues, DC maturation, CD8⁺ T-cell infiltration, and synergistic anticancer therapeutic potency with aPD-1 (tumor inhibition rate = 82.1%) towards obesity-related melanoma. Consequently, this study presented an efficacious approach to tumor immunotherapy in obese mice by encompassing tumor eradication, inducing ICD, and reprogramming metabolism. Furthermore, it offered a unique insight into a valuable attempt at the immunotherapy of obesity-associated related tumors.

The interest in covalent drugs has resurged in recent decades, spurring the development of numerous specialized computational docking tools to facilitate covalent ligand design and screening. Herein, we present CarsiDock-Cov, a new paradigm distinguishing itself as the first deep learning (DL)-guided approach for covalent docking. CarsiDock-Cov retains the core components of its non-covalent predecessor, leveraging a DL model pretrained on millions of docking complexes to predict protein-ligand distance matrices, along with a dedicated-designed geometric optimization procedure to convert these distances into refined binding poses. Additionally, it incorporates several key enhancements specifically tailored to optimize the protocol for covalent docking applications. Our approach has been extensively validated on multiple public datasets regarding the docking and screening of covalent ligands, and the results indicate that our approach not only achieves comparably improved applicability compared to its non-covalent predecessor, but also exhibits competitive performance against various state-of-the-art covalent docking tools. Collectively, our approach represents a significant advance in covalent docking methodology, offering an automated and efficient solution that shows considerable promise for accelerating covalent drug discovery and design.

Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10％of the Proteus and Morganella strains were resistant,while less than 20％of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4％in Proteus isolates,1.9％in Morganella isolates,and 15.6％in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

OBJECTIVE To know about the working mode and human resource status of pharmacy intravenous admixture services （PIVAS） in national medical institutions. METHODS Through questionnaire survey， the national PIVAS was invited to fill out questionnaire and statistical analysis was performed on the effective sample data related to PIVAS working mode and human resources in the questionnaire. RESULTS In this study， 761 PIVAS from 722 medical institutions of 29 provinces were involved in the questionnaire survey， with 471 valid questionnaires for working mode and 441 valid questionnaires for human resources survey. In terms of working mode， among 471 PIVAS， 292 PIVAS （62.0%） were in pharmacist-alone mode， and 176 PIVAS （37.4%） were in pharmacist-nurse cooperative mode； there was no significant difference in the types of medical orders received by PIVAS between these two working modes except for the other medical orders （P＞0.05）. In terms of human resource setting， among 441 PIVAS， the average number of total staff of single PIVAS was 24（16，33）， including 11（6，19） pharmacists， 7（2，13） nursing staff， and 3（1，5） workers； there was a statistically significant difference in the number of personnel among three groups （P＜ 0.01）. The per capita income of PIVAS respondents in 2019 was [7.9（4.8，10.7）]×104 yuan， and in 2021 it was [8.8（5.8，11.7）]× 104 yuan， with an increase of 9.0% compared to 2019. The difference between the two groups was statistically significant （P＜ 0.01）. CONCLUSIONS Medical institutions’ PIVAS in China had not fully implemented the pharmacist-alone work model， and some medical institutions had chosen a pharmacist-nurse cooperative mode. It is suggested that relevant departments formulate corresponding qualification requirements and training standards for nursing personnel as soon as possible based on sufficient research on PIVAS’s demand for nursing professionals.

Objective To explore the therapeutic mechanism of compound Yuye Decoction against diabetic cardiomyopathy(DCM).Methods Drugbank,Gene Cards,OMIM and PharmGKb databases were used to obtain DCM-related targets,and the core targets were identified and functionally annotated by protein-protein interaction network analysis followed by GO and KEGG enrichment analysis.The"Traditional Chinese Medicine-Key Component-Key Target-Key Pathway"network was constructed using Cytoscape 3.9.1,and molecular docking was carried out for the key components and the core targets.In the animal experiment,Wistar rat models of DCM were treated with normal saline or Yuye Decoction by gavage at low(0.29 g/kg)and high(1.15 g/kg)doses for 8 weeks,and the changes in cardiac electrophysiology and histopathology were evaluated.The changes in serum levels of LDH,CK,and CK-MB were examined,and myocardial expressions of PI3K,P-PI3K,Akt,P-AKT,BAX,IL-6,and TNF-α were detected using Western blotting.Results We identified 61 active compounds in Yuye Decoction with 1057 targets,3682 DCM-related disease targets,and 551 common targets between them.Enrichment of the core targets suggested that apoptosis,inflammation and the PI3K/Akt pathways were the key signaling pathways for DCM treatment.Molecular docking studies showed that the active components in Yuye Decoction including gold amidohydroxyethyl ester and kaempferol had strong binding activities with AKT1 and PIK3R1.In DCM rat models,treatment with Yuye Decoction significantly alleviated myocardial pathologies,reduced serum levels of LDH,CK and CK-MB,lowered myocardial expressions of BAX,IL-6 and TNF-α,and increased the expressions of P-PI3K and P-AKT.Conclusion The therapeutic effect of compound Yuye Decoction against DCM is mediated by its multiple active components that act on multiple targets and pathways to inhibit cardiomyocyte apoptosis and inflammatory response by regulating the PI3K/Akt signaling pathway.

Objective To explore the therapeutic mechanism of compound Yuye Decoction against diabetic cardiomyopathy(DCM).Methods Drugbank,Gene Cards,OMIM and PharmGKb databases were used to obtain DCM-related targets,and the core targets were identified and functionally annotated by protein-protein interaction network analysis followed by GO and KEGG enrichment analysis.The"Traditional Chinese Medicine-Key Component-Key Target-Key Pathway"network was constructed using Cytoscape 3.9.1,and molecular docking was carried out for the key components and the core targets.In the animal experiment,Wistar rat models of DCM were treated with normal saline or Yuye Decoction by gavage at low(0.29 g/kg)and high(1.15 g/kg)doses for 8 weeks,and the changes in cardiac electrophysiology and histopathology were evaluated.The changes in serum levels of LDH,CK,and CK-MB were examined,and myocardial expressions of PI3K,P-PI3K,Akt,P-AKT,BAX,IL-6,and TNF-α were detected using Western blotting.Results We identified 61 active compounds in Yuye Decoction with 1057 targets,3682 DCM-related disease targets,and 551 common targets between them.Enrichment of the core targets suggested that apoptosis,inflammation and the PI3K/Akt pathways were the key signaling pathways for DCM treatment.Molecular docking studies showed that the active components in Yuye Decoction including gold amidohydroxyethyl ester and kaempferol had strong binding activities with AKT1 and PIK3R1.In DCM rat models,treatment with Yuye Decoction significantly alleviated myocardial pathologies,reduced serum levels of LDH,CK and CK-MB,lowered myocardial expressions of BAX,IL-6 and TNF-α,and increased the expressions of P-PI3K and P-AKT.Conclusion The therapeutic effect of compound Yuye Decoction against DCM is mediated by its multiple active components that act on multiple targets and pathways to inhibit cardiomyocyte apoptosis and inflammatory response by regulating the PI3K/Akt signaling pathway.

OBJECTIVE To know about the pharmacy intravenous admixture charge and operation balance of pharmacy intravenous admixture services （PIVAS） in national medical institutions. METHODS Using questionnaire survey method， the national PIVAS leaders were invited to fill in the questionnaire， investigation and statistical analysis of the drug dispensing charge standard and the income and expenditure situations of PIVAS nationwide were conducted. RESULTS A total of 761 PIVAS completed the questionnaire， among which 466 PIVAS （61.2%） had already started implementing pharmacy intravenous admixture charge， mainly in tertiary hospitals. The charge standards for chemotherapy drugs and parenteral nutrition solutions were relatively high， while the standards for packaged drugs were the lowest， with differences in charge standards among provinces（P＜0.05）. Among the 25 provinces that reported annual drug preparation fee revenue， Hubei had the highest revenue in both 2019 and 2021. In 2019， the number of PIVAS with a balance of payments was more than that of PIVAS with an imbalance of payments， but the number of PIVAS with an imbalance of payments in 2021 exceeded the number of PIVAS with a balance of payments （P＜0.05）； among them， eight provinces were unbalanced in 2019 and 2021， such as Tianjin， Chongqing， Guizhou， etc. CONCLUSIONS PIVAS charge standards of the surveyed medical institutions in all provinces are not unified. It is suggested to improve the charge standard further， formulate the charge adjustment cycle， and promote a sustainable development of PIVAS.