Objective To explore the expression differences of the docking protein 1(DOK1)gene in multiple tissues of mice during the development stage from prediabetes to type 2 diabetes mellitus(T2DM),as well as its correlation with blood lipid levels.Methods The mice were divided into the 0 d group(control),the 20 d group,the 40 d group,the 60 d group,the 80 d group and the T2DM group.The 0 d group was fed with normal diet,while the other four groups were fed with high-fat diet to establish the prediabetes model.On this basis,the T2DM group was given low-dose multiple intraperitoneal injections of streptozotocin(STZ)to establish the T2DM model.The fasting and intraperitoneal glucose tolerance test(IPGTT)and insulin tol-erance test(IPITT)blood glucose of mice in each group were detected,and the expression of the DOK1 gene in nine tissues(heart,liver,kidney,skeletal muscle,pancreas,adipose,spleen,lung and colon tissues)was de-tected by qPCR.The level of DOK1 in serum was determined by ELISA,and the lipid level in serum was measured by an automatic biochemical analyzer.The correlations between serum DOK1 and TG,TC,HDL-C,LDL-C,lipoprotein A[LP(a)],and free fatty acids(FFA)were analyzed by Spearman correlation analysis.Re-sults The prediabetic and T2DM model mice were successfully established.Compared with the 0 d group,the blood glucose and lipid levels in the 80 d group and the T2DM group were significantly increased(P<0.001).Compared with the 0 d group,the expression level of DOK1 mRNA in the T2DM group was significantly de-creased in heart,liver,kidney,skeletal muscle,pancreas and adipose tissue(P<0.05).Compared with the 0 d group,the expression level of DOK1 mRNA in the 80 d group was significantly decreased in heart,liver,kid-ney and skeletal muscle tissue(P<0.05).Compared with the 0 d group,the expression levels of DOK1 mR-NA in the 40 d group and the 60 d group was significantly decreased in the liver tissues(P<0.05).Compared with group 0 d,there was no statistically significant difference in the expression level of DOK1 mRNA in the spleen,lung and colon tissues among each group(P>0.05).DOK1 in the 80 d group and the T2DM group was negatively correlated with TG,TC,LDL-C,LP(a),and FFA(r=-0.787 8,-0.727 2,-0.763 7,-0.764 2,-0.892 5,P<0.001),while positively correlated with HDL-C(r=0.961 3,P<0.001).Conclu-sion The reduction of DOK is related to the mechanism of insulin resistance and may play a key role in lipid metabolism disorders associated with diabetes.

Objective To investigate the effect and mechanisms of celecoxib on right heart function in mice with acute high-altitude hypoxia exposure.Methods Male C57BL/6J mice(7 weeks old)were housed in a hypobaric chamber simulating an altitude of 5 800 m for 2 d to establish an animal model of acute hypobaric hypoxia.①Eighteen mice were randomly assigned to plain+saline(P+S),high-altitude hypoxia exposure+saline(H+S),and high-altitude hypoxia exposure+celecoxib(H+Cel).Body weight and routine blood indicators were measured,and cardiac ultrasound examination were performed for heart rate(HR),pulmonary artery acceleration time to ejection time ratio(AT/ET),tricuspid annular plane systolic excursion(TAPSE),tricuspid annular systolic velocity(S'),and left ventricular ejection fraction(LVEF)and fractional shortening(FS).Targeted metabolomic profiling was applied to detect the cardiac arachidonic acid(AA)metabolite levels.The contents of 12,13-dihydroxy-9Z-octadecenoic acid(12,13-diHOME)in the heart,liver,brown adipose tissue,and plasma were quantified by ELISA.② Eighteen mice were randomly assigned into plain+saline(P+S),high-altitude hypoxia exposure+saline(H+S)and high-altitude hypoxia exposure+12,13-diHOME(H+di)groups.Body weight,routine blood tests,and echocardiography were performed as above.③ Thirty-two mice were randomly divided into high-altitude hypoxia exposure+saline(H+S),high-altitude hypoxia exposure+celecoxib(H+Cel),high-altitude hypoxia exposure+soluble epoxide hydrolase inhibitor(sEHI)(H+sEHI),and high-altitude hypoxia exposure+sEHI+celecoxib(H+sEHI+Cel)groups.Body weight,routine blood tests,and echocardiography were performed as above.Cardiac and plasma contents of 12,13-diHOME and epoxyeicosatrienoic acids(EETs)were measured by ELISA.Results ① Compared to the P+S group,the H+S group exhibited significantly reduction of cardiac 12,13-diHOME level(P<0.001),increased counts of white blood cells(WBC)and neutrophils(P<0.01)and decreased TAPSE,S'and AT/ET both at resting state and under stress(P<0.01,P<0.001).Compared to the H+S group,the H+Cel group exhibited significantly increase of cardiac 12,13-diHOME level(P<0.05),reduced WBC and lymphocyte counts(P<0.01,P<0.05)and improved TAPSE and S'levels at resting state and under stress(P<0.01,P<0.001).② Compared to the H+S group,the H+di group demonstrated significantly improvement of TAPSE at basal and under stress(P<0.001)and a trend towards improved TAPSE at resting state(P=0.0532),but no obvious differences was observed in WBC and neutrophil counts between the H+di group and the H+S group.③ Compared to the H+Cel group,both the H+sEHI and H+sEHI+Cel groups exhibited significantly reduction of cardiac 12,13-diHOME level(P<0.01,P<0.05)though no statistical changes in cardiac function indicators.Compared to the H+S group,WBC counts and lymphocyte were decreased,and serum EETs level was incrased in the H+Cel group,H+sEHI group and H+sEHI+Cel group(P<0.01,P<0.001).Conclusion Celecoxib can elevate cardiac level of 12,13-diHOME and improves right heart function in mice after acute high-altitude hypoxia exposure through the CYP450-sEH metabolic pathway.

Objective:To investigate the clinical value of abdominal adipose volume in predicting early tumor recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 132 HCC patients with tumor diameter ≤5 cm who were admitted to The First Affiliated Hospital of Army Medical University from December 2017 to October 2019 were collected. There were 110 males and 22 females, aged (51±4)years. All patients underwent resection of HCC. Preoperative computer tomography scanning was performed and the visceral and subcutaneous fats of patients were quantified using the Mimics Research 21.0 software. Based on time to postoperative tumor recurrence patients were divided to two categories: early recurrence and non-early recurrence. Observation indicators: (1) consistency analy-sis; (2) analysis of factors influencing early tumor recurrence after resection of HCC and construction of prediction model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribu-tion were represented as M( Q1,Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Consistency analysis was conducted using the intragroup correlation coefficient (ICC) test. Multivariate analysis was performed using the binary Logistic regression model forward method. Independent risk factors influencing early tumor recurrence after resection of HCC were screened. The area under curve (AUC) of receiver operating characteristic (ROC) curve was applied to select the optimal cut-off value to classify high and low risks of recurrence. The Kaplan-Meier method was used to draw survival curve and calculate survival time. The Log-Rank test was used for survival analysis. Results:(1) Consistency analysis. The consistency ICC of abdominal fat parameters of visceral fat volume (VFV), subcutaneous fat volume, visceral fat area, and subcutaneous fat area measured by 2 radiologists were 0.84, 1.00, 0.86, and 0.94, respectively. (2) Analysis of factors influencing early tumor recurr-ence after resection of HCC and construction of prediction model. All 132 patients were followed up after surgery for 662(range, 292-1 111)days. During the follow-up, there were 52 patients with non-early recurrence and 80 patients with early recurrence. Results of multivariate analysis showed that VFV was an independent factor influencing early tumor recurrence after resection of HCC ( odds ratio=4.07, 95% confidence interval as 2.27-7.27, P<0.05). The AUC of ROC curve based on VFV was 0.78 (95% confidence interval as 0.70-0.85), and the sensitivity and specificity were 72.2 % and 77.4 %, respectively. The optimal cut-off value of VFV was 1.255 dm 3, and all 132 patients were divided into the high-risk early postoperative recurrence group of 69 cases with VFV >1.255 dm 3, and the low-risk early postoperative recurrence group of 63 cases with VFV ≤1.255 dm 3. The disease-free survival time of the high-risk early postoperative recurrence group and the low-risk early post-operative recurrence group were 414(193,702)days and 1 047(620,1 219)days, showing a significant difference between them ( χ2=31.17, P<0.05). Conclusions:VFV is an independent factor influen-cing early tumor recurrence of HCC after resection. As a quantitative indicator of abdominal fat, it can predict the prognosis of HCC patients.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Objective:To investigate the effect of astragaloside IV (AS-IV) regulating the signal axis of stromal cell-derived factor-1α (SDF-1α)/CXC chemokine receptor 4 (CXCR4) on the mobilization of bone marrow endothelial progenitor cells (EPCs) to peripheral blood in diabetes skin ulcer (DSU) rats.Methods:Twenty four SPF grade male Sprague Dawley (SD) rats were selected to make the model of type 2 diabetes rats by intraperitoneal injection of 30 mg/kg 1% (plastid ratio) streptozotocin, and then round full-thickness skin with a diameter of 2 cm was cut on both sides of the waist and back to make the skin ulcer model of diabetes rats. After that, they were randomly divided into AS-IV group (50 mg/kg AS-IV), blocker group (50 mg/kg AS-IV+ 5 mg/kg AMD3100) and model group. At the same time, a blank group ( n=8) was set up, The drug was administered via intraperitoneal injection, and the model group and blank group were treated with 0.9% NaCl of equal volume. On the 10th day, peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats were collected. The number of EPCs in peripheral blood of each group of rats was measured by flow cytometry, and the protein expression of SDF-1α and CXCR4 in peripheral blood, femoral bone marrow, and wound neovascularization tissues of rats was detected by enzyme-linked immunosorbent assay (ELISA); At the same time, the wound healing rates of each group were tested. Results:On the 10th and 21st day after modeling, the wound healing rate of each group of rats was compared. The blank group healed the fastest, while the model group healed the slowest. The AS-IV group had better healing than the model group and the blocker group, and the difference was statistically significant (all P<0.05). On the 10th day after modeling, the positive rates of peripheral blood EPCs in the white group, AS-IV group, and blocker group were significantly higher than those in the model group (all P<0.05), while the positive rates of peripheral blood EPCs in the blocker group were significantly lower than those in the AS-IV group (all P<0.05). On the 10th day after modeling, the protein expression of SDF-1α and CXCR4 in the wound, serum, and bone marrow of the model group was the lowest, while the protein expression in the blank group was the highest (all P<0.05). The protein expression of SDF-1α and CXCR4 in the wound, serum, bone marrow of the AS-IV group was significantly higher than that of the blocker group and model group, and the difference was statistically significant (all P<0.05). Conclusions:Astragaloside IV can promote the mobilization and migration of endothelial progenitor cells from bone marrow to peripheral blood in diabetes ulcer rats by regulating SDF-1α/CXCR4 signal axis, and can participate in angiogenesis of diabetes ulcer wounds as seed cells to promote the healing of diabetes skin ulcers.

To address the problem of low accuracy in multi-classification recognition of motor imagery electroencephalogram(EEG)signals,a recognition method is proposed based on differential entropy and convolutional neural network for 4-class classification of motor imagery.EEG signals are extracted into 4 frequency bands(Alpha,Beta,Theta,and Gamma)through the filter,followed by the computation of differential entropy for each frequency band.According to the spatial characteristics of brain electrodes,the data structure is reconstructed into three-dimensional EEG signal feature cube which is input into convolutional neural network for 4-class classification.The method achieves an accuracy of 95.88%on the BCI Competition IV-2a public dataset.Additionally,a 4-class classification motor imagery dataset is established in the laboratory for the same processing,and an accuracy of 94.50%is obtained.The test results demonstrate that the proposed method exhibits superior recognition performance.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Objective:To investigate the risk factors of olfactory dysfunction (OD) of female patients with primary Sj?gren′s syndrome (pSS) and a prediction model was constructed.Methods:A total of 252 female pSS patients in the Third Municipal Hospital of Huzhou, from January 2021 to 2023 were recruited. According to the olfactory function,they were divided into OD group (144 cases) and without OD group (108 cases).The independent risk factors of OD were evaluated and the clinical prediction efficiency of the model was analyzed by receiver operating characteristic (ROC) curve, Hosmer-Lemeshow goodness-of-fit test and the decision curve analysis (DCA) curve.Results:The rate of OD was 57.1%((144/252)) in female pSS patients. Hyposmia was the main olfactory disorder in OD group (140/144, 97.2%). Univariate analysis showed that there were significant differences between OD and without OD groups, including disease course ( t=-2.05, P=0.040), RF( t=2.90, P=0.004), IgG( t=4.41, P=0.001), C3( t=5.47, P=0.001), ESSPRI( t=2.55, P=0.011), ESSDAI( t=3.80, P=0.001), HAMD ( t=3.38, P=0.001). Logistic regression analysis showed that high serum RF, IgG and low complement 3, high scores of ESSDAI and HAMD high scores were independent risk factors for pSS patients with OD patients[ OR(95% CI)=1.01(1.01, 1.03), 1.21(1.06, 1.38), 0.98(0.96, 0.89), 1.52 (1.20, 1.92), 1.13(1.03, 1.23)] ( P value were 0.016, 0.005, 0.004, <0.001 and 0.007 respectively). Based on the above independent risk factors, we constructed the prediction model nomogram and performed the internal data validation. The ROC curve AUC (95% CI) of the modeling group was 0.83(0.77, 0.89) and validation group was 0.69(0.57, 0.82), the prediction model was well differentiated.Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had good calibration ability ( P=0.083), and the DCA curve display model is clinically valuable. Conclusion:The clinical prediction model developed in this study can be used to assess the risk of pSS-OD development, which is helpful for early detection and timely interention so can improve the quality of life of pSS-OD patients in turn.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

Objective To study the relationship between lipid metabolism and liver function indexes in prediabetic population,and explore the predictive value of these indexes for prediabetes.Methods 546 patients with prediabetes who underwent physical examination in the First Affiliated Hospital of Xi'an Jiaotong University from April 2020 to August 2021 were selected as case group(PreDM group)and 546 patients with normal glucose tolerance as control group(NGT group).There was no significant difference in baseline data between the two groups after tendency matching score.The levels of lipid metabolism and liver function indicators were compared between the two groups;the correlation between lipid metabolism and liver function indicators in the PreDM group was analyzed;the influencing factors of prediabetes were screened by using binary logistic regression analysis;the predictive effect of lipid metabolism and liver function indicators on prediabetes was judged by using the ROC curve.Results Glutamic pyruvic transaminase(ALT),glutamic pyruvic transaminase/glutamic oxaloacetic transaminase ratio(ALT/AST),cholinesterase(CHE),gamma glutamyltransferase(GGT),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol/high density lipoprotein cholesterol ratio(TC/HDL-C)and triglyceride/high density lipoprotein cholesterol ratio(TG/HDL-C)in PreDM group were higher than those in NGT group(all P＜0.05).Spearman correlation analysis showed that TG/HDL-C in PreDM group had the positive correlation with ALT,ALT/AST,CHE and GGT(r=0.256,0.256,0.293,0.122,all P＜0.05).Multivariate stepwise logistic regression analysis showed that ALT/AST,GGT,TC/HDL-C and TG/HDL-C had the greatest effect on prediabetes(OR=2.124,1.027,1.196,1.260),and the combination of the four had the highest differential diagnostic value(AUC＞0.70).Conclusion There are more abnormal indexes of blood lipid and liver zymogram in prediabetic population,and the combination of ALT/AST,GGT,TC/HDL-C and TG/HDL-C is more effective in predicting prediabetes.