ObjectiveThis study aims to compare the modeling effects of submaxillary gland antigen and salivary gland antigen in the establishment of Sjögren syndrome (SS) mouse models, and to characterize the phenotypic and immunological features of these models in comparison with spontaneous SS-prone non-obese diabetic (NOD)/LtJ mice. MethodsAdult C57BL/6J mice (equal numbers of males and females) were immunized with submaxillary gland antigen or salivary gland antigen, respectively, combined with Freund's adjuvant to induce SS models. Mice immunized with phosphate-buffered saline (PBS) combined with Freund's adjuvant served as the control group. Immunization was induced via multiple subcutaneous injections in the back with antigen combined with Freund's complete adjuvant (FCA) on Days 1 and 7. A booster immunization was administered via multiple subcutaneous injections in the back with antigen combined with Freund's incomplete adjuvant (FIA) on Day 14. Female NOD/LtJ mice were used as the spontaneous SS model group, with ICR mice as the corresponding control strain for comparative analysis. Body weight, water intake, and salivary flow rate of mice were dynamically monitored for 4 weeks. At the end of the experiment, tissue and serum samples were collected, the weights of submaxillary glands, thymus, and spleen were measured, and organ indices (organ-to-body weight ratios) were calculated. Pathological morphological analysis of the submaxillary gland and spleen was performed with hematoxylin and eosin (HE) staining. Serum interleukin-17 (IL-17) level was detected using enzyme-linked immunosorbent assay (ELISA). Real-time quantitative polymerase chain reaction was used to detect the mRNA expression levels of SS type A (SSA) and SS type B (SSB) in submaxillary gland tissues. ResultsFemale mice in the submaxillary gland antigen group exhibited significantly increased water intake (P<0.05) and reduced salivary flow rate (P<0.05) compared with the female control group. No statistically significant differences were observed in the submaxillary gland index, thymus index and spleen index (P>0.05). Focal lymphocytic infiltration was observed in the submaxillary glands, and the splenic marginal zone was enlarged. Serum IL-17 levels were significantly increased (P<0.05). There was no significant difference in submaxillary gland SSA/SSB expression levels (P>0.05). Compared with the female control group, female mice in the salivary gland antigen group showed no statistically significant differences in water intake, salivary flow rate, submaxillary gland index, and spleen index (P>0.05), whereas the thymus index was significantly reduced (P<0.01). Mild inflammatory cell infiltration and glandular atrophy were observed in the submaxillary glands, and the splenic white pulp and marginal zone were slightly enlarged. Serum IL-17 levels and submaxillary gland SSB mRNA expression levels were significantly increased (P<0.01), whereas no significant change was observed in submaxillary gland SSA expression levels (P>0.05). Compared with the male control group, mild submaxillary gland atrophy was observed in male mice in the submaxillary gland antigen group, whereas no obvious changes were found in other modeling-related indicators (P>0.05). Compared with the ICR control group, NOD/LtJ model mice exhibited elevated water intake (P<0.05), significantly reduced salivary flow rate (P<0.01), no significant differences in the submaxillary gland index or spleen index (P>0.05), but a significantly increased thymus index (P<0.05). Marked focal infiltration was observed in the submaxillary glands, the splenic marginal zone was obviously enlarged, and serum IL-17 concentrations as well as submaxillary gland SSA/SSB expression levels were significantly increased (P<0.05). ConclusionSubmaxillary gland antigen and salivary gland antigen can induce SS-related features in female C57BL/6J mice. The SS-related phenotype is more pronounced in the submaxillary gland antigen group than in the salivary gland antigen group, but weaker than that in spontaneously SS-prone female NOD/LtJ mice. Immunization of male C57BL/6J mice with submaxillary or salivary gland antigens fails to induce an obvious SS phenotype.

Objective: To evaluate the application of blood conservation measures in obstetric patients with different red blood cell transfusion volumes and to assess the impact of different transfusion volumes on postpartum outcomes. Methods: A retrospective investigation was conducted on 448 obstetric patients who received blood transfusions at the Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine from January 2016 to December 2022. Patients were divided into four groups (1-2 units group, 3-4 units group, 5-6 units group, and >6 units group) based on the volumes of red blood cells (RBCs) transfused during and within 7 days after delivery. The maternal physiological indicators, pre- and postpartum laboratory test indicators, obstetric complications, application of blood conservation measures, use of blood products, and postpartum outcomes were reviewed. The clinical characteristics, application of blood conservation measures, and their impact on postpartum outcomes were compared among different transfusion groups. Results: There were statistically significant differences in the multivariate logistic analysis of history of previous cesarean section (OR=1.781), eclampsia/pre-eclampsia/(OR=1.972) and postpartum blood loss>1 000 mL（OR=1.699）(P<0.05) among different transfusion groups. In terms of blood conservation measures, the more RBCs transfused, the higher the rate of mothers receiving blood conservation measures such as balloon occlusion, arterial ligation, autologous blood transfusion with a cell saver, and hysterectomy. With the increase in the volume of RBCs transfusion, the demand for fresh frozen plasma（FFP）, cryoprecipitate, and platelet transfusions also increased. The hospitalization days for the four groups of parturients were 6.0 (4.0-9.0), 7.5 (5.0-14.8), 7.0 (4.5-13.0) and 11.0 (9.0-20.5), respectively (P<0.05) and the rates of ICU transfer were 2.0% (5/250), 9.4% (12/128),18.2% (6/33) and 51.4% (19/37), respectively (P<0.05). Both increased significantly with the increase in the volume of RBCs transfusion, and the differences between groups were statistically significant. Conclusion: Parturients who received higher volume of RBCs had multiple risks factors for bleeding before childbirth, had higher postpartum blood loss, and had a higher rate of application of various blood conservation measures. In addition, an increase in the volume of RBCs transfusion may have adverse effects on postpartum recovery.

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments involved in metabolomics workflows.Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups.However,insufficient feature extraction,inappropriate feature selection,overfitting,or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused.Using two ginseng varieties,namely Panax japonicus(PJ)and Panax japonicus var.major(PJvm),containing the similar ginsenosides,we integrated pseudo-targeted metabolomics and deep neural network(DNN)modeling to achieve accurate species differentiation.A pseudo-targeted metabolomics approach was optimized through data acquisition mode,ion pairs generation,comparison between multiple reaction monitoring(MRM)and scheduled MRM(sMRM),and chromatographic elution gradient.In total,1980 ion pairs were monitored within 23 min,allowing for the most comprehensive ginseng metabolome analysis.The established DNN model demonstrated excellent classification performance(in terms of accuracy,precision,recall,F1 score,area under the curve,and receiver operating characteristic(ROC))using the entire metabolome data and feature-selection dataset,exhibiting superior advantages over random forest(RF),support vector ma-chine(SVM),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP).Moreover,DNNs were advantageous for automated feature learning,nonlinear modeling,adaptability,and generalization.This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples.This established approach holds promise for plant metabolomics and is not limited to ginseng.

Purpose To explore the molecular features of diffuse large B-cell lymphoma(DLBCL)with high expression of MYC.Methods The clinical data of 45 cases of DLBCL were collected.Immunohistochemical EnVision method was used to classify the patients into the group with high expression of MYC and the group with low expression of MYC.All samples were subjected to DNA targeted sequencing and molecular typing was performed using the LymphGen online tool.Cellular origin was determined by using the Lymph2Cx method.The correlation be-tween MYC overexpression and clinicopathological parameters was analyzed by the x2 test and Fisher precise test.Survival curves were drawn and survival-related factors were analyzed u-sing Cox univariate and multivariate regression.ResultsCases were classified into DLBCL with high expression of MYC(n=17)and DLBCL with low expression of MYC(n=28).Com-pared to the group with low expression of MYC,the group with high expression of MYC had more PIM1,MYD88,CD79B,CD58 and PRDM1 mutations(76.5％vs 28.6％,70.6％vs 32.1％,58.8％vs28.6％,29.4％vs3.6％,29.4％vs 3.6％,P＜0.05),MCD were more frequently found(58.8％vs 10.7％,P=0.001),GCB were rarely found(17.6％vs 50.0％,P=0.030).Overall survival was significantly shorter in DLBCL with high expression of MYC(P＜0.05).Cox multi-factorial analysis showed that age was an independent prognostic factor for DLBCL(P＜0.05).Conclusion Patients with high expression of MYC were frequently characterized as MCD and ABC,and PIM1,MYD88,CD79B,CD58 and PRDM1 muta-tions were common.Patients with high expression of MYC had a poorer prognosis.

Objective:To analyze the clinicopathological features and differential diagnosis of large B-cell lymphoma with IRF4 rearrangement, aiming enhance its recognition and prevent misdiagnosis.Methods:The clinicopathological features, immunophenotype, and fluorescence in situ hybridization (FISH) results of six cases diagnosed with IRF4 rearrangement-positive B-cell lymphoma at the Affiliated Hospital of Xuzhou Medical University from 2015 to 2023 were retrospectively analyzed. Additionally, a comprehensive review of the literature was conducted.Results:Six patients with IRF4 rearrangement-positive large B-cell lymphoma were included. Patients 1 to 5 included three males and two females with a median age of 19 years ranging from 11 to 34 years. Four patients presented with head and neck lesions, while the other one had a breast nodule; all were in clinical Ann Arbor stages I to Ⅱ. Morphologically, entirely diffuse pattern was present in two cases, purely follicular pattern in one case, and diffuse and follicular patterns in other two cases. The tumor cells, predominantly centroblasts mixed with some irregular centrocytes, were of medium to large size, with a starry sky appearance observed in two cases. Immunophenotyping revealed all cases were positive for bcl-6 and MUM1, with a Ki-67 index ranging from 70% to 90%, and CD10 was positive in two cases. IRF4 rearrangement was confirmed in all cases by FISH analysis, with dual IRF4/bcl-6 rearrangements identified in two cases, leading to a diagnosis of LBCL-IRF4. Case 6, a 39-year-old female with a tonsillar mass and classified as clinical Ann Arbor stage Ⅳ, displayed predominantly diffuse large B-cell lymphoma (DLBCL) morphology with 20% high-grade follicular lymphoma characteristics. Immunohistochemistry showed negative CD10 and positive bcl-6/MUM1, with a Ki-67 index of approximately 80%. Triple rearrangements of IRF4/bcl-2/bcl-6 were identified by FISH, leading to a diagnosis of DLBCL with 20% follicular lymphoma (FL). All six patients achieved complete remission after treatment, with no progression or relapse during a follow-up period of 31-100 months.Conclusions:Large B-cell lymphoma with IRF4 rearrangement is a rare entity with pathological features that overlap with those of FL and DLBCL. While IRF4 rearrangement is necessary for diagnosing LBCL-IRF4, it is not specific and requires differentiation from other aggressive B-cell lymphomas with IRF4 rearrangement.

Objective To explore the efficacy and safety of thalidomide,arsenic trioxide,dexamethasone and ascorbic acid(TADA)regimen in the treatment of early relapsed multiple myeloma(MM)patients(tumor progression within 12 months after initial treatment).Methods This study retrospectively analyzed 62 patients on TADA chemotherapy regimen and 57 patients on bortezomib,lenalidomide,dexamethasone(velcade,revlimid,dexamethasone,VRD)chemotherapy regimen for multiple myeloma(MM)in early stage relapse,who visited the Department of Hematology of Yanbian University Hospital between 2008 and 2020.We collected the general data profile,follow-up data during 3 courses of treatment,and laboratory data of all patients before and after chemotherapy.The efficacy of the patients was assessed by overall response rate(ORR)and complete response rate(CRR),and the occurrence of adverse reactions was collected for statistical analysis.Kaplan-Meier curves were plotted for the TADA and VRD groups under different renal function conditions,cytogenetically different risk stratification,and different ISS scenarios;the prognosis of patients on the TADA chemotherapy regimen was analyzed.Results There were no statistical differences in age,gender,immunochemical subtypes,ISS staging and high-risk FISH indicators between the two groups(P＞0.05).After chemotherapy,the haemoglobin and serum albumin of patients in the TADA group were significantly lower than those in the VRD group,whereas the percentage of blood calcium,blood β2 microglobulin,creatinine and bone marrow plasma cells were significantly higher than those in the VRD group(P＜0.05).In addition,the incidence of peripheral neuropathy was significantly lower than that in the VRD group(P＜0.05),and there was no statistically significant difference in other adverse reactions(P＞0.05).Compared with those in the VRD group,the overall survival(OS)(X2=8.201,P=0.004)and progression free survival(PFS)(x2=7.568,P=0.006)survival curves were statistically significant in the TADA group.In the TADA group OS(X2=3.924,P=0.048)in patients with normal and impaired renal functionat the time of enrolment and PFS(x2=9.008,P=0.003),OS(x2=9.330,P=0.002)and PFS(x2=16.090,P＜0.001)in ISS stage Ⅰ/Ⅱ and ISS stage Ⅲ at enrolment,OS(X2=10.149,P＜0.001)in high-risk FISH and non-high-risk patients at enrolment and PFS(X2=11.286,P＜0.001)survival curve results showed statistically significant differences.Conclusion The TADA regimen has better efficacy and safety in patients with early recurrence of MM.Renal function,ISS staging and FISH stratification are important factors affecting patients'prognosis.

The aim of this study was to investigate the correlation between porcine epidemic diar-rhea virus(PEDV)S1 IgG antibody levels and neutralizing antibody potency in sow sera.Sera from 5 PEDV-infected farms with a clear immune background,5 non-infected farms and 5 infected farms with an unclear immune background,and sera from return-fed reserve pigs,totaling 716 copies,were collected and measured,and the correlation between PEDV S1 IgG antibodies and neutralizing antibodies was analyzed.The results showed that the PEDV S1 IgG and neutralizing antibodies of sow sera showed highly significant positive correlation,the correlation coefficient was 0.892(P＜0.000 1).Previous studies have shown that the level of PEDV neutralizing antibodies in sow serum correlates with the ability of piglets'maternal antibodies to resist PEDV infection.Therefore,the a-bility of maternal antibodies against PEDV in piglets can be evaluated by detecting PEDV S1 IgG antibodies in the serum of sows.In 10 PEDV-infected farms,the neutralizing antibodies to PEDV in the sera of sows after immunization were generally high,and the S1 IgG antibodies were also high,and their S/P values were higher than 3.5 in 66.9％of the farms(347/519),and the highest anti-body levels were found in the four farms in which PED did not occur,whereas the neutralizing an-tibodies in the immunized sows in the five PEDV-uninfected farms were generally low,and their S1 IgG antibodies were also low,and only 8.1％(13/161)having S/P values higher than 3.5.The re-sults suggest that most sows in PEDV-infected farms can provide good immunoprotection to pig-lets after immunization,while pigs in PEDV-uninfected farms need further immunization if they need to achieve a higher level of immunoprotection.The present study provides a substantial clini-cal basis for the use of PEDV S1 IgG antibody levels to assess the effectiveness of PEDV antibody protection in swine herds.

Purpose: This study aims to evaluate the efficacy and safety of a new combination treatment of vinorelbine and pyrotinib in human epidermal growth factor receptor 2 (HER2)–positive metastatic breast cancer (MBC) and provide higher level evidence for clinical practice. Materials and Methods: This was a prospective, single-arm, phase 2 trial conducted at three institutions in China. Patients with HER2-positive MBC, who had previously been treated with trastuzumab plus a taxane or trastuzumab plus pertuzumab combined with a chemotherapeutic agent, were enrolled between March 2020 and December 2021. All patients received pyrotinib 400 mg orally once daily plus vinorelbine 25 mg/m2 intravenously or 60-80 mg/m2 orally on day 1 and day 8 of 21-day cycle. The primary endpoint was progression-free survival (PFS), and the secondary endpoints included the objective response rate (ORR), disease control rate (DCR), overall survival, and safety. Results: A total of 39 patients were enrolled. All patients had been pretreated with trastuzumab and 23.1% (n=9) of them had accepted trastuzumab plus pertuzumab. The median follow-up time was 16.3 months (95% confidence interval [CI], 5.3 to 27.2), and the median PFS was 6.4 months (95% CI, 4.0 to 8.8). The ORR was 43.6% (95% CI, 27.8% to 60.4%) and the DCR was 84.6% (95% CI, 69.5% to 94.1%). The median PFS of patients with versus without prior pertuzumab treatment was 4.6 and 8.3 months (p=0.017). The most common grade 3/4 adverse events were diarrhea (28.2%), neutrophil count decreased (15.4%), white blood cell count decreased (7.7%), vomiting (5.1%), and anemia (2.6%). Conclusion Pyrotinib plus vinorelbine showed promising efficacy and tolerable toxicity as second-line treatment in patients with HER2-positive MBC.

Background: Antibiotic resistance is a significant public health concern around the globe.Antimicrobial peptides exhibit broad-spectrum and efficient antibacterial activity with an added advantage of low drug resistance. The higher water content and 3D network structure of the hydrogels are beneficial for maintaining antimicrobial peptide activity and help to prevent degradation. The antimicrobial peptide released from hydrogels also hasten the local wound healing by promoting epithelial tissue regeneration and granulation tissue formation. Objective: This study aimed at developing sodium alginate based hydrogel loaded with a novel antimicrobial peptide Chol-37(F34-R) and to investigate the characteristics in vitro and in vivo as an alternative antibacterial wound dressing to treat infectious wounds. Methods: Hydrogels were developed and optimized by varying the concentrations of crosslinkers and subjected to various characterization tests like cross-sectional morphology, swelling index, percent water contents, water retention ratio, drug release and antibacterial activity in vitro, and Pseudomonas aeruginosa infected wound mice model in vivo. Results: The results indicated that the hydrogel C proved superior in terms of cross-sectional morphology having uniformly sized interconnected pores, a good swelling index, with the capacity to retain a higher quantity of water. Furthermore, the optimized hydrogel has been found to exert a significant antimicrobial activity against bacteria and was also found to prevent bacterial infiltration into the wound site due to forming an impermeable barrier between the wound bed and external environment. The optimized hydrogel was found to significantly hasten skin regeneration in animal models when compared to other treatments in addition to strong inhibitory effect on the release of pro-inflammatory cytokines (interleukin-1β and tumor necrosis factor-α). Conclusions Our results suggest that sodium alginate -based hydrogels loaded with Chol-37(F34-R) hold the potential to be used as an alternative to conventional antibiotics in treating infectious skin wounds.