ObjectiveTo observe and compare the effects of different concentrations of cyclophosphamide (CTX) in inducing premature ovarian insufficiency (POI) model in mice and investigate the mechanism of injury. MethodsThirty-two 6~8-week-old female C57BL/6J mice were randomly divided into four groups (n=8 per group) using a weight-based block randomization method. The POI model was established via a single intraperitoneal injection of 75 mg/kg cyclophosphamide (CTX), 120 mg/kg CTX, 120 mg/kg CTX + 12 mg/kg Busulfan, or an equivalent volume of normal saline (control). Ovarian coefficients, serum estradiol (E₂) and follicle-stimulating hormone (FSH) levels were measured. Western blotting was performed to assess changes in ovarian expression levels of NAD-dependent deacetylase sirtuin-5 (SIRT5) and forkhead box O3a (FOXO3a) under different modeling conditions. After determining the optimal CTX concentration for modeling, an additional forty 6~8-week-old femal C57BL/6J mice were randomly divided into five groups (n=8 per group) using a weight-based block randomization method: saline control, 120 mg/kg CTX sampling at 1, 2, 7, or 14 days after modeling. Western blotting was used to evaluate temporal changes of ovarian SIRT5 and FOXO3a protein expression. ResultsCompared with the saline control, all concentrations of CTX (75 mg/kg CTX, 120 mg/kg CTX) and 120 mg/kg CTX + 12 mg/kg Busulfan induced POI injury in mice. The 120 mg/kg CTX group exhibited smaller changes in ovarian coefficients (P<0.001) and E₂ levels (P<0.05), whereas the 120 mg/kg CTX + 12 mg/kg Busulfan group showed rough and reduced luster fur, sluggish response and was in the worst state. Compared with the saline control group, FOXO3a expression was significantly down-regulated (P<0.05), while SIRT5 remained unchanged in the 75 mg/kg CTX group (P>0.05). In contrast, both SIRT5 (P<0.05) and FOXO3a (P<0.05) were significantly down-regulated in the 120 mg/kg CTX group. Further analysis revealed that on day 2 and 7 after 120 mg/kg CTX modeling, the expressions of SIRT5 (P<0.01) and FOXO3a (P<0.001) were significantly down-regulated, with the largest decrease observed on day 7 (SIRT5, P<0.000 1; FOXO3a, P<0.000 1). ConclusionOvarian injury in the POI model induced by 120 mg/kg CTX is milder than that in the POI model induced by 75 mg/kg CTX. Moreover, the expression changes of SIRT5 and FOXO3a are most significant on day 7 after modeling induced by 120 mg/kg CTX, which may be related to the inhibition of the SIRT5-FOXO3a signaling pathway.

Signal transducer and activator of transcription 3(STAT3)is an intracellular signaling factor that plays a critical role in various cellular processes,including the growth,differentiation,apoptosis,and immune response of cells.Aberrant activation of T helper cell 17(Th17)is closely associated with the morbidity and progress of various autoimmune diseases.STAT3 participates in the pathogenesis of Sj?gren syndrome by inducing excessive proliferation and abnormal differentiation of Th17 cells and affecting lymphocyte infiltration into exocrine glands.Therefore,targeting the STAT3 signaling pathway represents a potential novel therapeutic approach for the treatment of Sj?gren syndrome.This review summarizes the research of STAT3 in the pathogenesis and progression of Sj?gren syndrome through regulating Th17 cells,focusing on current inhibitors targeting the STAT3 signaling pathway as potential therapeutic targets for Sj?gren syndrome.

Objective: To explore the effects of whole wheat flour on blood glucose and lipid levels and antioxidant capacity of high-fat fed mice. Methods: Thirty-two male C57BL/6J mice at ages of 3 to 4 weeks were randomly divided into 4 groups with 8 mice in each group. The normal control group was fed with ordinary diet, the high-fat diet group was fed with high-fat diet, the whole wheat flour group was fed with high-fat diet and whole wheat flour, and the refined wheat flour group was fed with high-fat diet and refined wheat flour. Nine weeks later, blood was collected from the tail for measurement of fasting blood glucose (FBG), and blood was also collected from the eyeball to determine the levels of total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) and malondialdehyde (MDA). Adipose tissue was taken and weighed after death. Body weight, total food intake, Lee's index, adipose index, blood glucose, blood lipids, and antioxidant indicators were compared among the four groups of mice. Results: Compared with the normal control group, the mice in the high-fat diet group, whole wheat flour group, and refined wheat flour group exhibited increased body weight, total food intake, Lee's index, and adipose index, as well as decreased GSH-Px levels; the high-fat diet group had elevated levels of TC, TG, LDL-C and MDA (all P<0.05). When compared to the high-fat diet group, the whole wheat flour group showed lower Lee's index and adipose index, but the difference was not statistically significant (both P>0.05). Both the whole wheat flour group and the refined wheat flour group had reduced levels of TC, TG, LDL-C, and MDA, as well as increased GSH-Px levels (all P<0.05). Conclusions Whole wheat flour can effectively reduce the body weight of high-fat feeding mice, improve blood lipid levels, and enhance antioxidant capacity. However, there was no significant difference in the effects of whole wheat flour and refined wheat flour on mice during the experimental period.

Infectious diarrhea is a gastrointestinal infectious disease caused by a wide range of pathogens and found throughout the world. It is one of the most important public health problems in the world and the second leading cause of death among children under five years of age. The pathogens of infectious diarrhea include viral diarrhea pathogens, bacterial diarrhea pathogens, and parasites. Viruses are the most frequent pathogens, mainly including norovirus, rotavirus, astrovirus and sapovirus. The most frequently identified organisms causing bacterial diarrhea are diarrheagenic Escherichia coli, Salmonella, Shigella, Vibrio parahaemolyticus and Campylobacter. This paper provides an overview of the epidemiological trends and changes in the pathogen spectrum of infectious diarrhea for better understanding the distribution and epidemiological features of infectious diarrhea in China, and hopes to provide reference for developing prevention and control strategies and reducing the disease burden.

Objective To establish a prediction model for in-hospital mortality risk in patients with sepsis-induced coagulopathy based on LASSO regression.Methods Patients with sepsis-induced coagulopathy ad-mitted to intensive care unit(ICU)at Beth Israel Deaconess Medical Center during 2008 to 2019 were selected from the Medical Information Market for Intensive Care(MIMIC)-Ⅳ database(version 2.1)for retrospective study.The study subjects were randomly divided into modeling group and verification group,and the feature variables were screened by LASSO regression.The feature variables were analyzed by multivariate Logistic re-gression to determine independent risk factors,and the nomogram prediction model was established at the same time.The model performance was evaluated by drawing calibration curve and receiver operating charac-teristic(ROC)curve,as well as decision curve analysis.Results A total of 4 994 patients with sepsis-induced coagulopathy admitted to ICU for the first time were enrolled in this study.They were randomly divided into a model group(n=3 495)and a validation group(n=1 499)at a ratio of 7:3.Multivariate Logistic regres-sion analysis showed that age,mean respiratory rate,mean corpuscular hemoglobin concentration,red blood cell count,platelet count,prothrombin time,anion gap,acute physiological score Ⅲ and acute kidney injury were independent risk factors for in-hospital mortality of patients with sepsis-induced coagulopathy.Based on the above independent risk factors,a nomographic prediction model was constructed.The area under the ROC curve and 95％confidence interval of the nomogram in the modeling group and validation group were 0.864(0.849-0.880)and 0.877(0.852-0.901),respectively.The sensitivity was 0.795 and 0.763,and the speci-ficity was 0.779 and 0.843,respectively.The calibration curve suggested that the predicted probability was ba-sically consistent with the actual probability,and the decision curve analysis showed that it had good clinical net benefits within a wide range of threshold.Conclusion The nomogram model based on MIMIC-Ⅳ database has good predictive value for predicting the in-hospital mortality of patients with sepsis-induced coagulopathy and can be used to guide clinical work.

Background::Risk assessment and treatment stratification for three-vessel coronary disease (TVD) remain challenging. This study aimed to investigate the prognostic value of left atrial volume index (LAVI) with the Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score II, and its association with the long-term prognosis after three strategies (percutaneous coronary intervention [PCI], coronary artery bypass grafting [CABG], and medical therapy [MT]) in patients with TVD.Methods::This study was a post hoc analysis of a large, prospective cohort of patients with TVD in China, that aimed to determine the long-term outcomes after PCI, CABG, or optimal MT alone. A total of 8943 patients with TVD were consecutively enrolled between 2004 and 2011 at Fuwai Hospital. A total of 7818 patients with available baseline LAVI data were included in the study. Baseline, procedural, and follow-up data were collected. The primary endpoint was major adverse cardiac and cerebrovascular events (MACCE), which was a composite of all-cause death, myocardial infarction (MI), and stroke. Secondary endpoints included all-cause death, cardiac death, MI, revascularization, and stroke. Long-term outcomes were evaluated among LAVI quartile groups. Results::During a median follow-up of 6.6 years, a higher LAVI was strongly associated with increased risk of MACCE (Q3: hazard ratio [HR] 1.20, 95% confidence interval [CI] 1.06-1.37, P = 0.005; Q4: HR 1.85, 95%CI 1.64-2.09, P <0.001), all-cause death (Q3: HR 1.41, 95% CI 1.17-1.69, P <0.001; Q4: HR 2.54, 95%CI 2.16-3.00, P <0.001), and cardiac death (Q3: HR 1.81, 95% CI 1.39-2.37, P <0.001; Q4: HR 3.47, 95%CI 2.71-4.43, P <0.001). Moreover, LAVI significantly improved discrimination and reclassification of the SYNTAX score II. Notably, there was a significant interaction between LAVI quartiles and treatment strategies for MACCE. CABG was associated with lower risk of MACCE than MT alone, regardless of LAVI quartiles. Among patients in the fourth quartile, PCI was associated with significantly increased risk of cardiac death compared with CABG (HR: 5.25, 95% CI: 1.97-14.03, P = 0.001). Conclusions::LAVI is a potential index for risk stratification and therapeutic decision-making in patients with three-vessel coronary disease. CABG is associated with improved long-term outcomes compared with MT alone, regardless of LAVI quartiles. When LAVI is severely elevated, PCI is associated with higher risk of cardiac death than CABG.

Objective To explore the accuracy and clinical application value of artificial intelligence(AI)-based coronary computed tomography angiography(CCTA)in the evaluation of coronary artery stenosis in patients with acute coronary syndrome(ACS).Methods Fifty-four patients with suspected ACS who underwent CCTA examination and invasive coronary angiography(ICA)within 72 h were retrospectively selected.The CCTA images of all patients were processed by AI(AI group)and manual post-pro-cessing(manual group),respectively.The image quality,work efficiency and detection rate of coronary artery stenosis were compared between AI group and manual group.With ICA results as the gold standard,the sensitivity,specificity,positive predictive value,negative predictive value and accuracy of AI in the diagnosis of ACS patients with coronary artery stenosis(≥50％)in CCTA were analyzed,and the consistency of AI and ICA examination results was tested.Results The image quality of CCTA in AI group(grade Ⅰ 27.8％)was better than that in manual group(grade Ⅰ 14.8％),but there was no statistical difference between the two groups(X2=2.707,P＞0.05).The average diagnosis time of AI group(89.67 s±33.21 s)was significantlyshorter than that of manual group(813.33 s±301.84 s)and the difference was statistically significant(t=-17.512,P＜0.001),and the average time gain rate was 88.97％.There was no statistical difference in the detection rate of coronary artery stenosis(≥50％)between AI group and manual group(x2=0.003,P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,and accuracy of AI in diagnosis of ACS were 87.60％,96.44％,80.30％,97.92％,and 95.19％,respectively,which were significantly consistent with the results of ICA examina-tion(Kappa=0.810,P＜0.05).Conclusion AI-assisted diagnosis can correctly identify the coronary artery tree with better image,significantly shorten the diagnosis time of CCTA in ACS patients with high accuracy,and can provide a strong basis for the early treat-ment of patients with acute chest pain.

Objective To explore the molecular mechanism of programmed cell death 10(PDCD10)mediating glioma migration.Methods A PDCD10-silenced glioma cell line(U251)was constructed by siRNA,and the cells were treated with Okadaic Acid(OA),a protein phosphatase 2A(PP2A)phosphatase inhibitor,to investigate the effect of down-regulation of PDCD10 on the behavior of U251 cells;Western Blot(WB)was applied to detect the expression of PDCD10,PP2A,PP2Ac-307,p38 and pP38 in the control group and PDCD10 down-regulation group of U251 cells,to study the mechanism of PDCD10 regulation of PP2A/p38 signaling.Results Down-regulation of PDCD10 in U251 cells promoted the cells migration(P＜0.05),which could be inhibited by PP2A phosphatase inhibitor OA(P＜0.01).Further studies showed that down-regulation of PDCD10 promoted glioma cell migration via modulating the phosphorylation of PP2A,which in turn altered the activity of p38(P＜0.01).Conclusion PDCD10 may mediate glioma cell migration by regulating PP2A/p38 signaling.

Background/Aims: Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods: A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results: Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.