Objective To explore the mechanism of hydroxyl safflower flavin A(HSYA)in the treatment of sepsis-induced liver injury by using metabolomics and network pharmacology.Methods A total of 50 male C57BL/6 mice were randomly divided into sham-operation group(10 mice),sepsis group(20 mice)and HSYA group(20 mice).Cecal ligation and puncture was conducted to establish the sepsis-induced liver injury mouse model.The mice in HSYA group were subcutaneously injected with HSYA after 2 hours of modeling.The content of serum inflammatory factors and liver function were detected,and the pathological changes of liver tissue were observed with HE staining,UPLC-Q-TOF-MS metabolomics was used to analyze liver tissue,screening for differential metabolites using multivariate statistical methods,network pharmacology was used to predict potential targets for HSYA treatment of sepsis-induced liver injury,and conduct GO and KEGG pathway enrichment analysis on potential targets,Metabo Analyst 5.0 database was used to match differential metabolites and potential targets between the model group and HSYA group,a targets metabolite-metabolism pathway network was constructed.AutoDock Vina software was used to perform molecular docking between HSYA and core genes,and finally RT-qPCR was used to verify the expression of core genes.Results HSYA can reduce the contents of IL-6,IL-1β and TNF-α in serum,restore liver function,and alleviate the morphological alternation in liver induced by sepsis.A total of 26 differential metabolites identified by metabolomics were screened out,including flufenamic acid,cryptolepine,opthalmic acid,fenpropathrin etc.,which were mainly involved in 5 metabolic pathways such as biosynthesis of unsaturated fatty acids and alpha-linolenic acid metabolism.Network pharmacology identified 81 potential targets,2 735 items enriched in GO and 124 signaling pathways enriched in KEGG;a total of 5 differential metabolites were matched for joint analysis,corresponding to 14 targets including IL1B,STAT3,PTGS2,TP53,etc.,involved in the regulation of metabolic disorders in sepsis-induced liver injury by HSYA.Molecular docking results showed that HSYA had good binding activity to IL1B,STAT3,PTGS2 and TP53 targets.RT-qPCR results showed that HSYA could inhibit the expressions of IL1B,STAT3 and PTGS2 in liver tissue.Conclusions HSYA may inhibit the release of inflammatory cytokines,maintain metabolic homeostasis,and alleviate sepsis-induced liver injury through modulating the expressions of IL1B,STAT3,and PTGS2.

Objective:To evaluated the clinical efficacy of a reduced-intensity preconditioning regimen for single non-blood-related umbilical cord blood transplantation (sUCBT) in the treatment of severe aplastic anemia (SAA) .Methods:The clinical data of 63 patients with SAA who underwent sUCBT from January 2021 to July 2023 at the Department of Hematology of the First Affiliated Hospital of USTC were retrospectively analyzed. Fifty-two patients received total body irradiation/total bone marrow irradiation (TMI) combined with fludarabine or a cyclophosphamide- conditioning regimen (non-rATG group) , while 11 patients received rabbit anti-human thymocyte immunoglobulin (rATG) combined with TMI, fludarabine, or the cyclophosphamide-conditioning regimen (rATG group) . All patients received cyclosporine A and mycophenolate mofetil for graft-versus-host disease (GVHD) prophylaxis. Complications post-transplantation and long-term survival were compared between the two groups.Results:The baseline parameters were balanced between the two groups ( P>0.05) . In the rATG group, all patients achieved stem cell engraftment, and in the non-rATG group, five patients had primary graft failure. There was no significant difference in the cumulative incidence of neutrophil engraftment at 42 days after transplantation or platelet engraftment at 60 days between the two groups. The incidence of grade Ⅱ-Ⅳ acute GVHD in the rATG group was significantly lower than in the non-rATG group (10.0% vs. 46.2% , P=0.032) , and the differences in the cumulative incidences of grade Ⅲ/Ⅳ acute GVHD and 1-year chronic GVHD were not statistically significant ( P=0.367 and P=0.053, respectively) . There were no significant differences in the incidences of pre-engraftment syndrome, bacterial bloodstream infections, cytomegalovirus viremia, or hemorrhagic cystitis between the two groups ( P>0.05 for all) . The median follow-up time for surviving patients was 536 (61-993) days, and the 1-year transplantation related mortality (TRM) of all patients after transplantation was 13.0% (95% CI 6.7% -24.3% ) . Among the patients in the non-rATG and rATG groups, 15.5% (95% CI 8.1% -28.6% ) and 0% ( P=0.189) , respectively, had mutations. The 1-year overall survival (OS) rate of all patients after transplantation was 87.0% (95% CI 75.7% -93.3% ) . The 1-year OS rates in the rATG group and non-rATG group after transplantation were 100% and 84.5% , respectively (95% CI 71.4% -91.9% ) ( P=0.198) . Conclusion:The preliminary results of sUCBT with a low-dose irradiation-based reduced-intensity conditioning regimen with fludarabine/cyclophosphamide for the treatment of patients with SAA showed good efficacy. Early application of low-dose rATG can reduce the incidence of acute GVHD after transplantation without increasing the risk of implantation failure or infection.

Objective:To investigate the value of CT quantitative parameters of tumor and spleen in predicting the clinical stage of gastric cancer (Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage).Methods:This study was a case-control study. The data of 145 patients with gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from February 2019 to June 2021 were retrospectively collected, including 70 cases of Ⅰ/Ⅱ stage and 75 cases of Ⅲ/Ⅳ stage. On the baseline CT images, the tumor related parameters, including tumor thickness, length of tumor, CT attenuation of tumor unenhanced phase, CT attenuation of tumor arterial phase, CT attenuation of tumor venous phase were measured. The spleen related parameters, including splenic thickness, CT attenuation of splenic unenhanced phase, CT attenuation of splenic arterial phase, CT attenuation of splenic venous phase, and standard deviation of CT attenuation (CTsd) in splenic unenhanced phase were also measured. The independent sample t test or Mann-Whitney U test was used to compare the parameters between the Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage patients. The multi-factor logistic regression analysis was used to find the independent predictors of gastric cancer clinical stage, and establish the combined parameters. The efficiency to the diagnosis of gastric cancer stage of single and combined parameters was evaluated using the operating characteristic curve, and the DeLong test was used to compare the differences of area under the curve (AUC). Results:There were significant differences in tumor thickness, length of tumor, CT attenuation of tumor venous phase, CT attenuation of splenic unenhanced phase, CT attenuation of splenic venous phase, CTsd in splenic unenhanced phase between the Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage of gastric cancer ( P<0.05). Multivariate analysis showed that tumor thickness ( OR=1.073, 95% CI 1.026-1.123, P=0.002), CT attenuation of splenic venous phase ( OR=1.040, 95% CI 1.011-1.070, P=0.006) and CTsd in splenic unenhanced phase ( OR=1.625, 95% CI 1.330-1.987, P<0.001) were independent risk factors for the clinical stage of gastric cancer and the combined parameters were established. The AUC values of tumor thickness, CT attenuation of splenic venous phase, CTsd in splenic unenhanced phase and combined parameters were 0.655, 0.614, 0.749 and 0.806, respectively. The AUC of combined parameters was higher than those of tumor thickness and CT attenuation of splenic venous phase, and the differences were statistically significant ( Z=3.37, 3.82, both P<0.001). Conclusion:Tumor thickness, CT attenuation of splenic venous phase and CTsd in splenic unenhanced phase are independent risk factors for the clinical stage of gastric cancer, and combined parameters can improve the diagnostic efficiency.

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Salt stress may cause primary osmotic stress and ion toxicity, as well as secondary oxidative stress and nutritional stress in plants, which hampers the agricultural production. Salt stress-responsive transcription factors can mitigate the damage of salt stress to plants through regulating the expression of downstream target genes. Based on the soil salinization and its damage to plants, and the central regulatory role of transcription factors in the plant salt stress-responsive signal transduction network, this review summarized the salt stress-responsive signal transduction pathways that the transcription factors are involved, and the application of salt stress-responsive transcription factors to enhance the salt tolerance of plants. We also reviewed the transcription factors-regulated complex downstream gene network which is formed by forming homo- or heterodimers between transcription factors and by forming complexes with regulatory proteins. This paper provides a theoretical basis for understanding the role of salt stress-responsive transcription factors in the salt stress regulatory network, which may facilitate the molecular breeding for improved stress resistance.
Gene Expression Regulation, Plant ; Osmotic Pressure ; Plant Proteins/metabolism* ; Plants, Genetically Modified ; Salt Stress ; Salt Tolerance ; Stress, Physiological ; Transcription Factors/metabolism*

Taking the Department of Obstetrics and Gynecology as an example, this paper expounds a series of practices of online education, in the process from pre-course training, platform selection, curriculum design, to student evaluation, etc. From that, we can provide a reference for carrying out online teaching in response to the epidemic for clinical medical colleges which have not been exposed to the online course. Furthermore, it is a new attempt to explore a way to make a change of the traditional teaching method and deepen the reform of clinical teaching in our hospital after the epidemic, not only in professional medical education, but also in the popularization of medical knowledge.

Objective:To investigate a cluster epidemic of COVID-19 after a mass gathering activity in Ningbo of Zhejiang province and analyze the transmission chain and status of infection cases of different generations.Methods:The tracking of all the close contacts of the first COVID-19 case and epidemiological investigation were conducted on January 29, 2020 after a cluster epidemic of COVID-19 related with a Buddhism rally on January 19 (the 1.19 rally) in Ningbo occurred. The swabs of nose/throat of the cases and close contacts were collected and tested for nucleic acids by real-time fluorescence quantitative RT-PCR.Results:From January 26 to February 20, 2020, a total of 67 COVID-19 cases and 15 asymptomatic infection cases related with the 1.19 rally were reported in Ningbo. The initial case was the infection source who infected 29 second generation cases and 4 asymptomatic infection cases, in whom 23 second generation cases and 3 asymptomatic infection cases once took bus with the initial case, the attack rate was 33.82% (23/68) and the infection rate was 38.24% (26/68). The risks of suffering from COVID-19 and being infected were 28.91 times and 26.01 times higher in rally participants taking bus with initial case compared with those taking no bus with initial case. In this epidemic, 37 third+generation cases and 11 related asymptomatic infection cases occurred, the attack rate was 2.88% (37/1 283) and the infection rate was 4.76% (48/1 008). The main transmission routes included vehicle sharing and family transmission.Conclusion:It was a cluster epidemic of COVID-19 caused by a super spreader in a massive rally. The epidemic has been under effective control.

To investigate the effect of prophylactic aucubin (AU) on lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice. 
 Methods: Male BABL/c mice were randomly divided into a control group, an ALI group, and an AU treatment group, 16 mice in each group. ALI mice were injected with LPS (5 mg/kg, intratracheal injection), and AU (10 mg/kg) was injected intraperitoneally 30 min ahead. After LPS injection for 6 hours mice were sacrificed, the morphological changes of lung tissues were detected by HE staining and the lung injury score was obtained. The mRNA expression of tumor necrosis factor-α (TNF-α) and interleukin 10 (IL-10) in lung tissue was detected by real-time PCR. The total protein and lactate dehydrogenase (LDH) activity, the cell count, and the protein content of TNF-α and IL-10 in the mouse bronchoalveolar lavage fluid (BALF) were detected.
 Results: Compared with ALI mice, the pathological damage score of lung tissue was significantly reduced in the AU group, the total number of BALF cells, neutrophils, and macrophages were significantly decreased, LDH activity and the total protein content were also significantly decreased (all P<0.01). In addition, AU can reduce the mRNA and protein expression of TNF-α in lung of ALI mice, and increase the mRNA and protein expression of IL-10 (all P<0.01).
 Conclusion: AU can reduce LPS-induced ALI in mice.
Acute Lung Injury ; chemically induced ; Animals ; Bronchoalveolar Lavage Fluid ; Iridoid Glucosides ; Lipopolysaccharides ; Lung ; Male ; Mice ; Tumor Necrosis Factor-alpha

To explore the role of vascular endothelial growth factor (VEGF) in diabetic peripheral neuropathic pain in rats.
 Methods: Twenty-four adult male Sprague-Dawley rats aged 8 weeks were randomly divided into 3 groups (n=8 per group). The control group (C group): rats were intraperitoneally injected with sodium citrate solution at 10 mL/kg; the model group (M group): rats were intraperitoneally injected with streptozotocin at 65 mg/kg; the treatment group (T group): rats received intraperitoneal injection of anti-VEGF antibody (10 mg/kg) at the 1st, 3rd, 7th, 10th day after STZ treatment. Meanwhile, rats of C and M group were received with the same volume of sodium citrate solution. Blood glucose was measured before 1 day or at the 1st, 3rd, 7th or 14th day after receiving STZ. Body weight, paw withdrawal mechanical threshold (PWMT) and paw withdrawal thermal latency (PWTL) were measured before 1 day or at the 1st, 3rd, 5th, 7th, 10th or 14th day after receiving STZ. All lumbar spinal cords were dissected to examine the p-protein kinase B (p-Akt) and transient receptor potential vanilloid 1 (TRPV1) expression by Western blot.
 Results: After injection with STZ, the body weight showed significant differences at some time point between the M, T or C group (P<0.01); body weight of rat in the C group were increased gradually. Compared with the C group, the fast blood glucose in the M or the T Group at the same time points were increased significantly (P<0.01). The PWMT and PWTL of the M, T or C group were significant difference among various time points (P<0.01). The PWMT and PWTL in the M or T group were obviously reduced compared with those in the C group (P<0.01). Compared with the M group, the PWMT and PWTL in the T group were increased at the 10th or 14th day (P<0.01 or P<0.05). Compared with the C group, the p-Akt and TRPV1 levels in the M and T group were increased (P<0.01). Compared with the M group, p-Akt and TRPV1 levels in T group were decreased (P<0.01).
 Conclusion: VEGF is able to regulate the expression of TRPV1 through PI3K/Akt pathway, which contributes to diabetic peripheral neuropathic pain in rats. Anti-VEGF treatment may be useful for alleviation of diabetic peripheral neuropathic pain.
Animals ; Antibodies ; pharmacology ; therapeutic use ; Diabetes Mellitus, Experimental ; chemically induced ; Diabetic Neuropathies ; chemically induced ; drug therapy ; Gene Expression Regulation ; drug effects ; Male ; Phosphatidylinositol 3-Kinases ; Random Allocation ; Rats ; Rats, Sprague-Dawley ; TRPV Cation Channels ; genetics ; Vascular Endothelial Growth Factor A ; metabolism

Objective To investigates the diagnostic value of combined detection serum CCL18, CXCL1 antigen, C1D, TM4SF1, FXR1, TIZ IgG autoantibody by suspension array for ovarian cancer. Methods Suspension array was used to detect CCL18, CXCL1 antigen, C1D, TM4SF1, FXR1, TIZ IgG autoantibody in 120 cases of healthy women, 204 cases of patients with benign pelvic tumors, 119 cases of pelvic malignant tumor patients, and 40 cases with breast cancer, lung cancer oroliver cancer, respectively. Constructed diagnosis model of combined detection six biomarkers for diagnosis of ovarian malignant tumor. Constructed diagnosis model of combined detection autoantibodies to diagnose epithelial ovarian cancer. Analysed the value of detecting six biomarkers for diagnosis of ovarian malignant tumor and detecting autoantibodies for diagnosis of epithelial ovarian cancer. Analysed diagnostic value of detecting six biomarkers to diagnose stageⅠandⅡepithelial ovarian cancer. Compared diagnostic value of detecting six biomarkers in diagnosis of tissue types and pathologic grading with that of CA125. Results Model of combined detecting six biomarkers to diagnose ovarian malignant tumor was logit(P)=-11.151+0.008×C1D+0.011 × TM4SF1+0.011 × TIZ-0.008 × FXR1+0.021 × CCL18+0.200 × CXCL1. Model of combined detection autoantibodies to diagnose epithelial ovarian cancer was logit(P)=-5.137+0.013 × C1D+0.014 × TM4SF1+0.060 × TIZ-0.060 × FXR1. Sensitivity and specificity of detecting six biomarker to diagnose ovarian malignant tumor was 90.6% and 98.7%. Sensitivity and specificity of detecting autoantibodies to diagnose epithelial ovarian cancer was 75.8%and 96.7%. Combined detection for six biomarkers to diagnose serous and mucinous ovarian cancer was statistically no better than those of CA125 (P=0.196 and P=0.602, respectively);there was significantly difference in diagnosis of ovarian cancer (P=0.023), and there was no significantly difference in diagnosis of different pathological grading (P=0.089 and P=0.169, respectively). Conclusions Constructing diagnosis model of combined detection six biomarker to diagnose ovarian malignant tumor and constructed diagnosis model of combined detectionautoantibodies to diagnose epithelial ovarian cancer. Combined detection six biomarkers to diagnose serous and mucinous ovarian tumors is better than that of CA125.