OBJECTIVE To retrospectively analyze the drug resistance characteristics of the patients with multidrug-resistant organisms(MDROs)infections who were hospitalized from 2022 to 2023 and observe the effect of multi-disciplinary teamwork(MDT)mode so as to provide scientific bases for prevention and control of MDROs infec-tions and hospital-associated infections.METHODS A total of 639 patients with MDROs infection who were hospi-talized in Jianyang People's Hospital from Jan.2022 to Dec.2023 were recruited as the research subjects.The clinical data were collected from the patients,the drug resistance characteristics of bacteria were analyzed.The effects of MDT and pharmacological supervision on treatment of the patients with MDROs infection were observed and compared.RESULTS The methicillin-resistant Staphylococcus aureus(MRSA)(359 strains,56.18％)was dominant among the pathogens isolated from the 639 patients with MDROs infections,followed by the carbapen-em-resistant Klebsiella pneumoniae(CRKP)(96 strains,15.02％)and carbapenem-resistant Acinetobacter bau-mannii(82 strains,12.83％).Of the patients with MDROs infection,150(23.47％)were from critical care medicine department,94(14.71％)from pediatrics department,and 82(12.83％)from general surgery de-partment.The result of drug susceptibility test showed that the S.aureus strains were susceptible to linezolid,daptomycin,vancomycin and tigecycline;most of the gram-negative bacteria were susceptible to carbapenems,while the A.baumannii strains were highly resistant to the commonly used antibiotics.The total isolation rate of MDROs and the case-time infection rate of MDROs infections were 14.32％and 0.05％,respectively,after MDT and pharmacological supervision were carried out,lower than those before carried out;the effective treatment rate of the patients with MDROs was 76.47％after MDT and pharmacological supervision were carried out,higher than that before they were carried out,and there were significant differences(all P＜0.05).CONCLUSION MDT and pharmacological supervision may improve the curative effect of the patients with MDROs infection and reduce the isolation rate of MDROs as well as the incidence of hospital-associated infections.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

Objective To explore the role of ferroptosis in DIC through bioinformatics analysis of hub genes involved in ferroptosis in doxorubicin-induced cardiomyopathy(DIC),combined with in vitro experimental validation.Methods Divalent iron fluorescence staining confirms the occurrence of ferroptosis in myocardial cells of DIC.The GSE207737 dataset was retrieved from the Gene Expression Comprehensive Database(GEO)and intersected with the FerrDb database to identify ferroptosis-related genes.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses of the intersected genes and intersecting the genes obtained from LASSO regression analysis and SVM-SFR machine learning methods were used to obtain ferroptosis hub genes for DIC.Real-time PCR was used to validate H9C2 cells in the control and DIC model groups,and Western blotting was used to further validate those whose bioinformatics and real-time PCR results that did not match.Results Thirty-eight ferroptosis-related genes in DIC were identified,and GO and KEGG analyses showed that these genes mainly participate in cell metabolism.Five hub genes for ferroptosis in DIC were obtained using machine learning methods:Mpc1,Prdx1,Kdm4a,Alox 12b,and Tfrc.Through in vitro experiments,the mRNA expression levels of Mpc1,Prdx1,and Kdm4a were downregulated in the DIC model group compared to those in the control group(P＜0.001),whereas the mRNA expression level of Alox12b was upregulated(P＜0.001).There were no significant differences in the mRNA or protein expression levels of Tfrc(P＞0.05).Conclusion Mpc1,Prdx1,Kdm4a,and Alox12b are key genes involved in ferroptosis in doxorubicin-induced cardiomyopathy and potential targets for the prevention and treatment of doxorubicin-induced cardiomyopathy in ferroptosis.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

Mannheimia varigena(M.varigena)is a significant pathogen causing bovine respiratory disease.Transferrin binding protein B(TbpB)is a lipoprotein directly exposed to the outer mem-brane of the cell,which is not only involved in the bacterial iron metabolism pathway,but also an important virulence factor.This study aims to lay the groundwork for developing novel subunit vaccines by conducting site-directed mutagenesis on M.varigena TbpB binding-related residues and evaluating their immunogenicity.Based on whole-genome sequencing of a bovine M.varigena i-solate,its iron uptake pathway was predicted.Key amino acid residues of M.varigena TbpB that play a role for binding to bovine transferrin(bTf)was identified by bioinformatics.We constructed two M.varigena TbpB mutants(Y205A and Y258A)and assessed their bTf binding activity and immunogenicity through dot blot assays and mouse immunization studies.Dot blot assays result showed that the Y258A mutation caused TbpB to lose its ability to bind to bTf.Mouse immuniza-tion studies showed that,compared to wild-type TbpB,the mutants of TbpB induced higher levels of specific antibodies.In challenge experiments,mice immunized with mutant TbpB exhibited high-er survival rates.These results demonstrate that site-directed mutagenesis can enhance the immu-nogenicity of TbpB.This study provides a novel approach for developing new subunit vaccines a-gainst M.varigena.

Objective To analyze the effectiveness of the digital medicine boosting county-town-village linkage diabetes mellitus(DM)management model.Methods A total of 135 patients with T2DM from 9 villages in 3 towns of Longyou County from June to September 2021 were selected and randomly grouped into a control(Con,n=45)group and an intervention(Exp,n=90)group at a ratio of 1∶2 by village.The Con group implements routine management.The Exp group implemented the internet+boosting county-town-village linkage DM management model.Both groups were followed up for one year.The body mass index(BMI),waist circumference(WC),systolic blood pressure(SBP),diastolic blood pressure(DBP),fasting plasma glucose(FPG),hemoglobin A1c(HbA1c),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),triglycerides(TG),urine albumin/creatinine ratio(UACR),management compliance,and the proportion of new DM complications were compared between the two groups.Results All patients in the Con group completed follow-up,8 patients in the Exp group were lost to follow-up,and 82 patients were finally included.After the intervention,BMI,WC,SBP,DBP,FPG,HbA1c,TC,TG,LDL-C and UACR were significantly decreased in both groups(P<0.05),while HDL-C and DM self-management scale(SDSCA)scores increased(P<0.05).In Exp group,SBP,DBP,FPG,HbA1c,TC,TG,LDL-C and UACR were lower than those in Con group(P<0.05),while HDL-C and SDSCA scores and the compliance rates of FPG,HbA1c,TC,TG were higher than those in Con group(P<0.05).There was no statistically significant difference in the changes of medication methods,the incidence of diabetic kidney disease and diabetic peripheral neuropathy between the two groups(P>0.05).Conclusions The digital medicine boosting county-town-village linkage DM management model,which helps achieve glycolipid standards and opens up new ideas for the management of diabetes in rural areas.

Mannheimia varigena(M.varigena)is a significant pathogen causing bovine respiratory disease.Transferrin binding protein B(TbpB)is a lipoprotein directly exposed to the outer mem-brane of the cell,which is not only involved in the bacterial iron metabolism pathway,but also an important virulence factor.This study aims to lay the groundwork for developing novel subunit vaccines by conducting site-directed mutagenesis on M.varigena TbpB binding-related residues and evaluating their immunogenicity.Based on whole-genome sequencing of a bovine M.varigena i-solate,its iron uptake pathway was predicted.Key amino acid residues of M.varigena TbpB that play a role for binding to bovine transferrin(bTf)was identified by bioinformatics.We constructed two M.varigena TbpB mutants(Y205A and Y258A)and assessed their bTf binding activity and immunogenicity through dot blot assays and mouse immunization studies.Dot blot assays result showed that the Y258A mutation caused TbpB to lose its ability to bind to bTf.Mouse immuniza-tion studies showed that,compared to wild-type TbpB,the mutants of TbpB induced higher levels of specific antibodies.In challenge experiments,mice immunized with mutant TbpB exhibited high-er survival rates.These results demonstrate that site-directed mutagenesis can enhance the immu-nogenicity of TbpB.This study provides a novel approach for developing new subunit vaccines a-gainst M.varigena.

Traditional Chinese medicine(TCM)is an ancient medical system distinctive and effective in treating cancer,depression,coronavirus disease 2019(COVID-19),and other diseases.However,the relatively abstract diagnostic methods of TCM lack objective measurement,and the complex mechanisms of action are difficult to comprehend,which hinders the application and internationalization of TCM.Recently,while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research,the rise of machine learning(ML)has significantly enhanced their inte-gration with TCM.This article introduces representative methodological cases in quality control,mechanism research,diagnosis,and treatment processes of TCM,revealing the potential applications of ML technology in TCM.Furthermore,the challenges faced by ML in TCM applications are summarized,and future directions are discussed.

Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Pharmacological inhibitors targeting CDK4/6 have demonstrated promising efficacy across various cancer types. However, their clinical benefits in ovarian cancer patients fall short of expectations, with only a subset of patients experiencing these advantageous effects. This study aims to provide further clinical and biological evidence for antineoplastic effects of a CDK4/6 inhibitor (TQB4616) in ovarian cancer and explore underlying mechanisms involved. Patient-derived ovarian cancer organoid models were established to evaluate the effectiveness of TQB3616. Potential key genes related to TQB3616 sensitivity were identified through RNA-seq analysis, and TRIM4 was selected as a candidate gene for further investigation. Subsequently, co-immunoprecipitation and GST pull-down assays confirmed that TRIM4 binds to hnRNPDL and promotes its ubiquitination through RING and B-box domains. RIP assay demonstrated that hnRNPDL binded to CDKN2C isoform 2 and suppressed its expression by alternative splicing. Finally, in vivo studies confirmed that the addition of siTRIM4 significantly improved the effectiveness of TQB3616. Overall, our findings suggest that TRIM4 modulates ubiquitin-mediated degradation of hnRNPDL and weakens sensitivity to CDK4/6 inhibitors in ovarian cancer treatment. TRIM4 may serve as a valuable biomarker for predicting sensitivity to CDK4/6 inhibitors in ovarian cancer.
Humans ; Female ; Ovarian Neoplasms/pathology* ; Animals ; Tripartite Motif Proteins/genetics* ; Mice ; Cyclin-Dependent Kinase 4/antagonists & inhibitors* ; Cell Line, Tumor ; Cyclin-Dependent Kinase 6/antagonists & inhibitors* ; Protein Kinase Inhibitors/pharmacology* ; Ubiquitin/metabolism* ; Xenograft Model Antitumor Assays ; Ubiquitination ; Antineoplastic Agents/pharmacology*

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.