Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

Protein arginine methyltransferase 5 (PRMT5) acts as an oncogene in liver cancer, yet its roles and in-depth molecular mechanisms within the liver cancer immune microenvironment remain mostly undefined. Here, we demonstrated that disruption of tumor-intrinsic PRMT5 enhances CD8⁺ T-cell-mediated antitumor immunity both in vivo and in vitro. Further experiments verified that this effect is achieved through downregulation of the inhibitory immune checkpoint molecule, fibrinogen-like protein 1 (FGL1). Mechanistically, PRMT5 catalyzed symmetric dimethylation of transcription factor 12 (TCF12) at arginine 554 (R554), prompting the binding of TCF12 to FGL1 promoter region, which transcriptionally activated FGL1 in tumor cells. Methylation deficiency at TCF12-R554 residue downregulated FGL1 expression, which promoted CD8⁺ T-cell-mediated antitumor immunity. Notably, combining the PRMT5 methyltransferase inhibitor GSK591 with PD-L1 blockade efficiently inhibited liver cancer growth and improved overall survival in mice. Collectively, our findings reveal the immunosuppressive role and mechanism of PRMT5 in liver cancer and highlight that targeting PRMT5 could boost checkpoint immunotherapy efficacy.

OBJECTIVES: To compare the anti-inflammatory, antibacterial and analgesic effects of Yinqiao Powder (YQS) formulated granules and decoction. METHODS: We first evaluated the anti-inflammatory effects of the two dosage forms of YQS in a LPS-induced RAW 264.7 cell model using RT-qPCR and Western blotting. We further constructed zebrafish models of inflammation by copper sulfate exposure, caudal fin transection, or LPS and Poly (I:C) microinjection, and evaluated anti-inflammatory effects of YQS granules and decoction by examining neutrophil aggregation and HE staining findings. In a mouse model of acute lung injury (ALI) induced by intratracheal LPS instillation, the effects of YQS gavage at 10, 15, and 20 g/kg on lung pathologies were evaluated by calculating lung wet-dry weight ratio and using HE staining, ELISA and Western blotting. The microbroth dilution method was used to evaluate the antibacterial effect of YQS. Mouse pain models established by hot plate and intraperitoneal injection of glacial acetic acid were used to evaluate the analgesic effects of YQS at 10, 15, and 20 g/kg. RESULTS: Both YQS granules and decoction significantly reduced TNF-α, IL-6, and IL-1β expressions and p-STAT3 (Tyr 705) phosphorylation level in LPS-induced RAW 264.7 cells, and obviously inhibited neutrophil aggregation in the zebrafish models. In ALI mice, YQS granules and decoction effectively ameliorated lung injury, lowered lung wet-dry weight ratio, and reduced p-STAT3 (Tyr 705) expression and TNF-α and IL-6 levels. YQS produced obvious antibacterial effect at the doses of 15.63 and 31.25 mg/mL, and significantly reduced body torsion and increased pain threshold in the mouse pain models. CONCLUSIONS The two dosage forms of TQS have similar anti-inflammatory, antibacterial and analgesic effects with only differences in their inhibitory effect on TNF-α, IL-6 and IL-1β mRNA expressions in LPS-induced RAW 264.7 cells.
Animals ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Analgesics/pharmacology* ; RAW 264.7 Cells ; Zebrafish ; Anti-Bacterial Agents/pharmacology* ; Powders ; Tumor Necrosis Factor-alpha/metabolism* ; Acute Lung Injury/drug therapy* ; Interleukin-6/metabolism* ; Lipopolysaccharides

Objective:To identify the influencing factors for acute kidney injury (AKI) in patients undergoing interventional embolization of intracranial aneurysms under general anesthesia and develop a predictive model.Methods:In this retrospective study, the clinical data from patients who underwent elective interventional embolization of intracranial aneurysms at Hospital Affiliated to Nanjing Medical University from January 2019 to December 2023 were collected. All the patients were divided into AKI group and non-AKI group based on whether AKI occurred postoperatively. The general data, preoperative laboratory parameters, and intraoperative parameters of the patients were obtained through the electronic medical record system and operation-anesthesia management system. The variables screened using LASSO regression were included in the multivariate logistic regression analysis to identify the risk factors for AKI following embolization of cerebrovascular aneurysms. Based on the results, a predictive model was established and evaluated.Results:A total of 428 patients were collected, with 73 in AKI group and 355 in non-AKI group. LASSO regression for variable selection and multivariate logistic regression analysis showed that serum creatinine concentration, duration of surgery and age were independent risk factors, and the glomerular filtration rate and hemoglobin concentration were protective factors for AKI after interventional embolization of intracranial aneurysms ( P<0.05). The area under the receiver operating characteristic curve of the prediction model was 0.860 (95% confidence interval 0.815 to 0.905), with a sensitivity of 0.880 and a specificity of 0.718. The calibration curve showed a mean absolute error of 0.014. The Hosmer-Lemeshow goodness-of-fit test indicated that there was no statistically significant difference between the predicted and observed values of the model ( χ2=3.29, P=0.915). The clinical decision curve demonstrated that the net benefit rate for patients was higher when the threshold probability ranged from 0 to 0.83. Conclusions:The glomerular filtration rate, serum creatinine concentration, hemoglobin concentration, duration of surgery and age are influencing factors for AKI following interventional embolization of intracranial aneurysms, and the prediction model established based on these factors demonstrates good predictive performance.

The “Technical Guideline for Epidemic Prevention and Control Disinfection in Large-Scale Events”(hereinafter referred to as “the Guideline”), organized and compiled by the National Disease Control and Prevention Administration, was officially released in April 2024. This guideline aims to ensure the effective implementation of large-scale group activities, mitigate the impact of infectious disease outbreaks on such events, and maintain hygiene and safety standards at event venues. During the compilation process, data were systematically collected in alignment with epidemic prevention requirements and disinfection principles, incorporating research findings from domestic and international disinfection practices. Information was gathered through field investigations, expert consultations in epidemiology and disinfection, and roundtable discussions with representatives from organizations responsible for disinfection operations at large-scale events, thereby ensuring the scientific rigor and practical applicability of the content. The Guideline provides comprehensive technical disinfection guidance for relevant authorities and event organizers, addressing critical aspects such as disinfection protocols, operational principles, emergency response strategies, and technical specifications. By standardizing hygiene assurance measures for large-scale events, including considerations of participant demographics, venue characteristics, and event scale, the guideline establishes a framework to proactively minimize the risk of infectious disease transmission.

BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Objective : To investigate the effects of branched-chain amino acid(BCAA) on the differentiation of 3T3-L1 preadipocytes and its potential mechanism. Methods : 3T3-L1 preadipocytes were divided into the Control, differentiation medium(DM), low-concentration BCAA, and high-concentration BCAA groups. A CCK-8 assay was utilized to evaluate pre-adipocyte survival under various BCAA concentrations. Oil-red O staining was used to observe the formation of lipid droplets in adipocytes. Intracellular triglyceride(TG) and total cholesterol(TC) were detected by enzymatic method. RT-qPCR and Western blot were used to detect the mRNA and protein expression of Stat3 and adipocyte differentiation-related genes. Results : CCK-8 results showed that the viability of 3T3-L1 cells was not affected when the BCAA concentration was ≤ 10 mmol/L. Compared with the DM group, the low-concentration BCAA groups(0.5 and 1.0 mmol/L) had significantly larger intracellular lipid droplets, increased number of lipid droplets, and elevated levels of the intracellular TC(0.88vs0.68 mmol/g; 0.83vs0.68 mmol/g,P<0.01) and TG(0.77vs0.40 mmol/g; 0.62vs0.40 mmol/g,P<0.01). Nevertheless, the cell differentiation in the high-concentration group(5.0 and 10.0 mmol/L) significantly decreased compared with that in the DM group. Further, levels of PPARγ, C/EBPα, Adiponectin, and FABP4 mRNA and protein expression significantly increased in the low-concentration group, but significantly decreased in the high-concentration group than that in the DM group(P<0.01). In addition, low concentrations of BCAA promoted stat3 phosphorylation, while high concentrations inhibited its phosphorylation(P<0.01). Conclusion BCAA have a dual role in regulating the differentiation of preadipocytes through Stat3, i.e. low concentrations of BCAA induce cell differentiation by promoting Stat3 phosphorylation; whereas high concentrations of BCAA inhibit Stat3 phosphorylation and cell differentiation.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

AIM:This study aims to explore the mechanisms of influenza A virus(IAV)-induced macrophage inflammatory injury based on the interleukin-6(IL-6)/signal transducer and activator of transcription 3(STAT3)signaling loop and investigate the intervention effects of Ma-Xing-Shi-Gan decoction(MXSGD)-medicated serum.METHODS:RAW264.7 and BV2 cells were divided into control,Janus kinase(JAK)/STAT signaling pathway activator,inhibitor,model,oseltamivir,antiviral particle,and MXSGD groups.After IAV modeling and serum interventions,the cells were cultured for 24 and 48 h,and the indicators were detected and analyzed.ELISA,RT-qPCR,Western blot,and immuno-fluorescence assay were used to detect the secretion levels of IL-6 in the cell culture supernatant,IL-6 and STAT3 mRNA expressions,protein expression of STAT3,and expression levels of phosphorylated STAT3(p-STAT3),respectively.Pearson correlation analysis was used to evaluate the correlation between p-STAT3 and IL-6 in the two cell types.A co-cul-ture model of the two cells was constructed,and the secretion levels of IL-6 in the cell culture supernatant was measured.Molecular docking analyses were performed for STAT3 and MXSGD.RESULTS:After IAV simulation,the secretion lev-els of IL-6 in the cell culture supernatant,mRNA expression levels of IL-6 and STAT3,and protein expression levels of STAT3 and p-STAT3 in both cell lines were elevated(P<0.05 or P<0.01).Pearson correlation analysis revealed that p-STAT3 expression was positively correlated with IL-6 expression.The secretion levels of IL-6 in the co-culture model in-creased(P<0.01).MXSGD down-regulated the secretion levels of IL-6 in the cell culture supernatant mRNA,expression levels of IL-6 and STAT3,and protein expression levels of STAT3 and p-STAT3 in two kinds of cells(P<0.05 or P<0.01),and inhibited the secretion levels of IL-6 in co-culture models.STAT3 demonstrated good binding energies for liquiritin,amygdalin,and ephedrine.CONCLUSION:IAV can induce inflammatory injury in macrophages,and its mechanism may be related to activation of the IL-6/STAT3 signaling loop.MXSGD may alleviate the pathogenic effects of IAV by modulating the signaling loop.

Objective:To investigate the effect of circular RNA bromodomain PHD finger transcription factor (circBPTF) targeting microRNA (miR)-224-3p on the damage of human retinal vascular endothelial cells (HRECs) induced by high glucose.Methods:HRECs were divided into control group and high glucose group, which were cultured with medium containing 5.5 mmol/L glucose and 30 mmol/L glucose for 48 hours, respectively.HRECs were transfected with siRNA negative control (si-NC), siRNA of circBPTF (si-circBPTF), miRNA mimic control (miR-NC), and miR-224-3p by Lipofectamine 2000, followed by cultured in 30 mmol/L glucose medium for 48 hours and were recorded as si-NC group, si-circBPTF group, miR-NC group and miR-224-3p group, respectively.HRECs were transfected with si-circBPTF and anti-miR-NC or si-circBPTF and anti-miR-224-3p by double transfection method, and then treated with 30 mmol/L glucose medium for 48 hours and were recorded as anti-miR-NC group and anti-miR-224-3p group, respectively.The expression of circBPTF and miR-224-3p was detected by real-time fluorescence quantitative PCR.Cell apoptosis was detected by flow cytometry.Reactive oxygen species (ROS) level was determined by 2′, 7′-dichlorodihydrofluorescein diacetate probe.Superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were detected by colorimetric method.Expression of cleaved-caspase-3/caspase-3 and cleaved-caspase-9/caspase-9 proteins was detected by Western blot.The interaction between circBPTF and miR-224-3p was identified by the dual luciferase reporter method.Results:Compared with the control group, the apoptosis rate, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression, ROS level, MDA content, and circBPTF relative expression were significantly increased and SOD activity and miR-224-3p expression were decreased in the high glucose group (all P<0.05).Compared with the si-NC group, circBPTF relative expression, ROS level, MDA content, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression, and cell apoptosis rate were significantly reduced and SOD activity was significantly increased in the si-circBPTF group (all P<0.05).Compared with the miR-NC group, miR-224-3p relative expression and SOD activity were significantly enhanced and ROS level, MDA content, cleaved-caspase-3/caspase-3 protein expression, cleaved-caspase-9/caspase-9 protein expression and cell apoptosis rate were significantly reduced in the miR-224-3p group (all P<0.05).The relative luciferase activity of HRECs after co-transfection of wild type circBPTF and miR-224-3p mimic was 0.43±0.04, which was significantly decreased compared with 0.99±0.06 after co-transfection of wild type circBPTF and miR-NC ( t=23.297, P<0.05).Compared with anti-miR-NC group, the relative expression of miR-224-3p and SOD activity were significantly decreased and ROS level, MDA content, cell apoptosis rate, cleaved-caspase-3/caspase-3 protein expression, and cleaved-caspase-9/caspase-9 protein expression were significantly increased in the anti-miR-224-3p group (all P<0.05). Conclusions:Interfering with circBPTF can inhibit high glucose induced HRECs apoptosis and oxidative stress damage by targeting miR-224-3p.