Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Perimenopause raises the risk and incidence of depression, whereas the underlying molecular mechanism remains unclear. Disturbed glucose regulation has been widely documented in depressive disorders, which renders the brain susceptible to various stresses such as estrogen depletion. However, whether and how glucose dysfunction regulates depression-like behaviors and neuronal damage in perimenopausal transition remains unexplored. Here, a prominent depressive phenotype was found in perimenopausal mice induced by the ovarian toxin 4-vinylcyclohexene diepoxide (VCD). The VCD depression susceptible group (VCD^SS) and the VCD depression resilient group (VCD^RES) were determined using a ROC-based behavioral screening approach. We found that the hippocampus, a crucial region linked to depression, had hyperglycemia and mitochondrial abnormalities. Interestingly, oral administration of the SGLT2 inhibitor empagliflozin (EMPA) and intrahippocampal glucose infusion suggest a close relationship between hyperglycemia in the hippocampus and the susceptibility to depression. We verified that cytochrome c oxidase 7c (COX7C) downregulation is a potential cause of the high glucose-induced neuronal injury using proteomic screening and biochemical validations. High glucose causes COX7C to be ubiquitinated in a S-phase kinase associated protein 1 (SKP1)-dependent manner. According to these results, SKP1/COX7C represents a unique therapeutic target and a novel molecular route for treating perimenopausal depression.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a group of clonal disorders originating from hematopoietic stem cells, commonly characterized by thrombotic events, extramedullary hematopoiesis, and a propensity for malignant progression to myelofibrosis or acute leukemia. With the inclusion in the core diagnostic criteria, molecular biomarkers has exhibited applicational valus in multiple levels in the aspects of personalized therapy to subtype MPN, interpret phenotypic heterogeneity, and predict clinical outcomes. Molecular biomarkers are currently being applied in disease diagnosis, progression prediction, therapeutic strategy refinement, precision monitoring, familial MPN screening, and the development of emerging detection technologies, advancing the shift from fundamental MPN research to individualized clinical management.

OBJECTIVE To summarize the process of investigation,disposal and prevention of a cluster incident of post-operative incision infection following microtia plastic surgery in the otorhinolaryngology department of a terti-ary care hospital,in order to provide a basis for hospital-aquired infection prevention and control.METHODS An epidemiological survey was conducted on seven patients who underwent otorhinolaryngoplasty for microtia in the ENT department of a tertiary care hospital from 27 Jul.to 7 Sep.2023,and interventions were implemented.RESULTS The incidence rate of infection was 71.43％among post-otorhinolaryngoplasty patients.In 5 patients,area for electrocoagulation of haemostatic increased by approximately 50％compared to the previous period,and drainage tubes were left in the surgical area for 11 to 13 days.Patients changed dressings in a shared dressing room.Pseudomonas aeruginosa was detected in three of the infected patients,and their antibiotic sensitivity pat-terns were similar to that of a lower respiratory tract infection patient(case 0)in the same department.CONCLUSION Inadequate aseptic practice by medical staff,longer retention of drainage tubes,incomplete disin-fection of the environment of the dressing room,and changes in surgical procedures may be the primary factors contributing to the occurrence of this cluster of infections.

Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a group of clonal disorders originating from hematopoietic stem cells, commonly characterized by thrombotic events, extramedullary hematopoiesis, and a propensity for malignant progression to myelofibrosis or acute leukemia. With the inclusion in the core diagnostic criteria, molecular biomarkers has exhibited applicational valus in multiple levels in the aspects of personalized therapy to subtype MPN, interpret phenotypic heterogeneity, and predict clinical outcomes. Molecular biomarkers are currently being applied in disease diagnosis, progression prediction, therapeutic strategy refinement, precision monitoring, familial MPN screening, and the development of emerging detection technologies, advancing the shift from fundamental MPN research to individualized clinical management.

OBJECTIVE To summarize the process of investigation,disposal and prevention of a cluster incident of post-operative incision infection following microtia plastic surgery in the otorhinolaryngology department of a terti-ary care hospital,in order to provide a basis for hospital-aquired infection prevention and control.METHODS An epidemiological survey was conducted on seven patients who underwent otorhinolaryngoplasty for microtia in the ENT department of a tertiary care hospital from 27 Jul.to 7 Sep.2023,and interventions were implemented.RESULTS The incidence rate of infection was 71.43％among post-otorhinolaryngoplasty patients.In 5 patients,area for electrocoagulation of haemostatic increased by approximately 50％compared to the previous period,and drainage tubes were left in the surgical area for 11 to 13 days.Patients changed dressings in a shared dressing room.Pseudomonas aeruginosa was detected in three of the infected patients,and their antibiotic sensitivity pat-terns were similar to that of a lower respiratory tract infection patient(case 0)in the same department.CONCLUSION Inadequate aseptic practice by medical staff,longer retention of drainage tubes,incomplete disin-fection of the environment of the dressing room,and changes in surgical procedures may be the primary factors contributing to the occurrence of this cluster of infections.

Objective: To explore the neuroprotective effects of the Shaoyao Gancao decoction (SGD) against excitatory damage in PC12 cells and the role of the Src-NR2-nNOS pathway mediation by SGD in regulating γ-aminobutyric acid (GABA)-glutamate (Glu) homeostasis. Methods: N-Methyl-d-aspartic acid (NMDA) was used to establish a PC12 cell excitability injury model. To investigate the neuroprotective effect of SGD, a cell counting kit-8 (CCK-8) assay was used to determine PC12 cell viability, Annexin V/Propidium Iodide (Annexin V/PI) double staining was used to determine PC12 cell apoptosis, and Ca2+ concentration was observed using laser confocal microscopy. GABA receptor agonists and antagonists were used to analyze the neuroprotective interactions between γ-aminobutyric acid (GABA) and NMDA receptors. Additionally, molecular biology techniques were used to determine mRNA and protein expression in the Src-NR2-nNOS pathway. We analyzed the correlations between the regulatory sites of GABA and NMDA interactions, excitatory neurotoxicity, and brain damage at the molecular level. Results: NMDA excitotoxic injury manifested as a significant decrease in cell activity, increased apoptosis and caspase-3 protein expression, and a significant increase in intracellular Ca2+ concentration. Administration of SGD, a GABAA receptor agonist (muscimol), or a GABAB receptor agonist (baclofen) decreased intracellular Ca2+ concentrations, attenuated apoptosis, and reversed NMDA-induced upregulation of caspase-3, Src, NMDAR2A, NMDAR2B, and nNOS. Unexpectedly, a GABAA receptor antagonist (bicuculline) and a GABAB receptor antagonist (saclofen) failed to significantly increase excitatory neurotoxicity. Conclusions Taken together, these results not only provide an experimental basis for SGD administration in the clinical treatment of central nervous system injury diseases, but also suggest that the Src-NR2A-nNOS pathway may be a valuable target in excitotoxicity treatment.

Background:Hepatitis B virus(HBV)is one of the most widespread viruses worldwide and a major cause of hepatitis,cirrhosis,and hepatocellular carcinoma.Previous studies have revealed the impacts of HBV infection on fertility.An increasing number of infertile couples with chronic hepatitis B(CHB)virus infection choose assisted reproductive technology(ART)to meet their fertility needs.Despite the high prevalence of HBV,the effects of HBV infection on assisted reproduction treatment remain limited and contradictory.Objective:The aim of this study was to provide a comprehensive overview of the effect of HBV infection on fertility and discuss its effects on pregnancy outcomes,vertical transmission,pregnancy complications,and viral activity during ART treatment.Methods:We conducted a literature search in PubMed for studies on HBV infection and ART published from 1996 to 2022.Results:HBV infection negatively affected fertility in both males and females.Existing research shows that HBV infection may increase the risk of pregnancy complications in couples undergoing assisted reproduction treatment.The impact of HBV infection on the pregnancy outcomes of ART is still controversial.Current evidence does not support that ART increases the risk of vertical transmission of HBV,while relevant studies are limited.With the development of ART,the risk of HBV reactivation(HBVr)is increasing,especially due to the wide application of immunosuppressive therapy.Conclusions:Regular HBV infection screening and HBVr risk stratification and management are essential to prevent HBVr during ART.The determination of optimal strategy and timing of prophylactic anti-HBV therapy during ART still needs further investigation.