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.

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.

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 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.

Objective To compare the anti-inflammatory,antitumor and anti-bacterial effects of the single extract(in granules)and the prepared drug in pieces of Forsythia Suspense(Lianqiao,a traditional Chinese herbal medicine).Methods In zebrafish embryo models of CuSO4 exposure,tail transection and LPS microinjection-induced inflammation,the anti-inflammatory effects of 10 μg/mL DEX,single extract of Forsythia Suspense,and the water extract of the prepared drug(400,600,and 800 μg/mL)were evaluated by observing neutrophil counts,RT-qPCR,HE staining and survival analysis.Zebrafish embryo models bearing different human tumor cell xenografts were used to assess the anti-tumor effect of the drugs in different dosage forms by fluorescence staining and HE staining.The microbroth dilution method was used to evaluate the antibacterial efficacy of the drugs.Results In the zebrafish embryo models of inflammation,both of the two dosage forms of Forsythia Suspense significantly inhibited neutrophil aggregation,reduced the mRNA expressions of TNF-α,IL-6,P38,Jnk,Erk and P65,and increased the survival rate of zebrafish.They both showed obvious inhibitory effects against xenografts of different human cancer cells including colon cancer cells(HCT116),pancreas adenocarcinoma cells(PANC-1),lung cancer cells(A549),liver cancer cells(Hep3B)and cervical carcinoma cells(Hela)in zebrafish embryos,and exhibited strong anti-bacterial effects at the concentration of 15.63 mg/mL.Conclusion The two dosage forms of Forsythia Suspense have similar anti-inflammatory,antitumor and antibacterial effects,but their effects for inhibiting IL-6,P65,and Jnk mRNA expressions and HCT116 cell proliferation differ significantly at low doses in zebrafish.

Objective:To construct an anticipatory grief intervention scheme for family caregivers of advanced cancer patients based on narrative theory, and to provide reference for anticipatory grief nursing intervention.Methods:From October 2022 to May 2023, through literature research, semi-structured interview and brainstorming method, the first draft of nursing intervention plan was constructed, the Delphi method was used to conduct 2 rounds of correspondence consultation with 15 experts, and the indicators at all levels were modified according to the opinions of experts, and the final draft of intervention plan was formed.Results:The experts were all female, aged (49.67 ± 5.83) years old. The authority coefficient of the two rounds of experts was 0.87. The Kendall coordination coefficients of the first, second, and third level indicators after the first round of expert inquiry were 0.195, 0.113, and 0.093, respectively. The Kendall coordination coefficients of the first, second, and third level indicators after the second round of expert inquiry were 0.200, 0.119, and 0.101, respectively. The differences were statistically significant ( χ2 values were 8.76-107.21, all P<0.05).Finally, a nursing intervention plan based on narrative theory was formed, which included 4 primary indicators, 19 secondary indicators and 72 tertiary indicators. Conclusions:The anticipatory grief intervention scheme for family caregivers of advanced cancer patients is scientific, practical and feasible, and can be used for psychological nursing of family caregivers.

Objective:To analyze the clinical characteristics, prognosis and gene mutation in patients with dilated cardiomyopathy (DCM) in Keshan disease area of Sichuan Province, and to explore the risk factors for all-cause death in DCM patients.Methods:In June 2016, 55 DCM patients diagnosed at the local disease prevention and control center through clinical manifestations, electrocardiogram examination, and echocardiography were selected as the survey subjects in Mianning County, Liangshan Yi Autonomous Prefecture, and Renhe District, Panzhihua City, Keshan disease areas of Sichuan Province. Baseline clinical data were analyzed and long-term follow-up was conducted. The follow-up period ended June 15, 2021, with the endpoint of all-cause death. Univariate Cox regression was used to analyze the influencing factors of all-cause death in patients, and Kaplan-Meier (K-M) survival curve was used to analyze the survival time of patients. At the same time, peripheral venous blood was collected from 27 DCM patients. After separating white blood cells, DNA was extracted, and whole exome sequencing was performed to screen potential pathogenic genes.Results:Among the 55 DCM patients, 40 were males and 15 were females. The age was (54.09 ± 12.38) years old. The heart function classification of New York Heart Association (NYHA) was mainly grade Ⅱ and Ⅲ, accounting for 94.55% (52/55). The follow-up time for 55 DCM patients was (7.02 ± 2.96) years, and 17 patients experienced all-cause death, accounting for 30.91% (17/55), including 15 males and 2 females. Compared with the survival group, the death group had a lower incidence of syncope (χ 2 = 6.57, P = 0.010), but higher rates of bilateral lower limb edema (χ 2 = 6.43, P = 0.017), pulmonary congestion (χ 2 = 7.61, P = 0.006), intraventricular conduction block (χ 2 = 6.41, P = 0.011), and angiotensin-converting enzyme inhibitor (ACEI) use (χ 2 = 6.57, P = 0.010), as well as increased left ventricular diameter ( t = 2.36, P = 0.022). Univariate Cox regression analysis showed that bilateral lower limb edema [hazard ratio ( HR) = 4.61, P = 0.042] and intraventricular conduction block ( HR = 3.20, P = 0.019) were risk factors for all-cause death of DCM patients. The results of K-M survival curve analysis showed that patients with bilateral lower limb edema and intraventricular conduction block had higher all-cause death rates (log-rank χ 2 = 5.02, 6.24, P = 0.025, 0.012). Whole exome sequencing results showed that 4 patients were detected to carry pathogenic or suspected pathogenic gene mutations, with a positive rate of 14.81% (4/27), involving three genes: β-myosin heavy chain 7 (MYH7), calreticulin 3 (CALR3), and gelsolin (GSN). Conclusions:The all-cause death rate of DCM patients in the Keshan disease area of Sichuan Province is relatively high. Dead patients are prone to bilateral lower limb edema, pulmonary congestion, and intraventricular conduction block, as well as increased left ventricular diameter. Bilateral lower limb edema and intraventricular conduction block are independent predictive risk factors for all-cause death in DCM patients. MYH7, CALR3 and GSN are involved in the pathogenesis of DCM.

Objective:To evaluate the efficacy and safety of Qingxuan Zhike granules in improving cough symptoms and shortening the course of influenza (wind-heat invading lung) in children.Methods:In this multicenter, randomized, controlled clinical trial, a total of 240 outpatient influenza patients from 7 hospitals, including the First Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, from April 2023 to December 2023 were collected.The subjects were randomly divided into the control group and the experimental group via SAS software using the block randomization method.The differences between two groups were compared with t test, corrected t test and χ2 test.Subjects in the control group were given Oseltamivir phosphate granules, orally, twice a day (weight ≤15 kg, 30 mg/time; weight >15-23 kg, 45 mg/time; weight >23-40 kg, 60 mg/time; weight >40 kg, 75 mg/time; age≥13 years, 75 mg/time).In addition to Oseltamivir phosphate granules, subjects in the experimental group were also given Qingxuan Zhike granules, orally, 3 times a day (1-3 years old, 1/2 bag each time; >3-6 years old, 3/4 bag each time; >6-14 years old, 1 bag each time).After 5 days of treatment, the medication was suspended for 2 days.The effect of cough, antipyretic effect, clinical recovery rate, clinical recovery time, Canadian Acute Respiratory Illness and Flu Scale (CARIFS) score, traditional Chinese medicine (TCM) syndrome effect, complication rate, and adverse reactions were evaluated between the two groups. Results:Finally, 232 cases were included in the study, including 115 cases in the experimental group and 117 cases in the control group.Before and after treatment, there were no significant difference in CARIFS cough score between the experimental group and the control group (all P>0.05).After treatment, the change in CARIFS cough score in the experimental group [(-1.00±0.91) scores]was significantly higher than that in the control group [(-0.75±0.98) scores] ( t=-1.995, P=0.047).After treatment, the change in TCM syndrome cough score in the experimental group [(-1.69±1.51) scores] was significantly higher than that in the control group [(-0.97±1.63) scores] ( t′=-0.035, P=0.001).The time of complete regression of fever in the experimental group [(44.82±22.72) h] was shorter than that in the control group [(51.35±27.07) h], and the difference between the two groups was statistically significant ( t=-1.966, P=0.050).The fever score showed that the area under the curve between the CARIFS symptom fever score and time in the experimental group was 4.40±2.42, while that in the control group was 5.12±2.44, and the difference between the two groups was statistically significant ( t=-2.252, P=0.025).The clinical recovery rate was 93.91%(108/115) in the experimental group and 92.31%(108/117) in the control group, and there was no significant difference between the two groups ( χ2=0.233, P>0.05).The clinical recovery time in the experimental group [(2.93±1.21) d] was shorter than that in the control group [(3.29±1.15) d], and the difference between the two groups was statistically significant ( t=-2.279, P=0.024).After treatment, there was a significant difference in TCM syndrome score variation between the experimental group [(-12.00±4.13) scores] and the control group [(-10.85±4.31) scores] ( t′=-2.067, P=0.040).No complication occurred in both groups, and there was no significant difference in the incidence of adverse events between the two groups ( χ2=1.299, P>0.05). Conclusions:Qingxuan Zhike granules combined with Oseltamivir phosphate can effectively improve the cough symptoms associated with influenza in children, shorten the time and course of fever, and improve the TCM syndrome score; thus, they are safe in clinical application.