ObjectiveTo investigate the changing trends of the incidence rate， prevalence rate， mortality rate， and disability-adjusted life years （DALYs） of benign hepatobiliary and pancreatic diseases among people aged 15 — 39 years in China in 1990 — 2021. MethodsThe data of 2021 Global Burden of Disease Study were downloaded to obtain the epidemiological data of liver fibrosis/chronic liver disease， benign gallbladder/biliary tract diseases， and pancreatitis among people aged 15 — 39 years in China， and estimated annual percentage change （EAPC） was calculated to assess the changing trends of incidence， prevalence， mortality， and DALY rates. The Bayesian age-period-cohort model was used to predict the incidence and mortality rates from 2022 to 2030. ResultsIn 2021， there were 10 448 778 new cases of benign hepatobiliary and pancreatic diseases among the individuals aged 15 — 39 years in China， which was increased by 3.8% compared with the data in 1990， while the numbers of prevalent cases， deaths， and DALYs were reduced by 20.4%， 59.6%， and 50.2%， respectively. In 2021， the age-standardized incidence rates of liver fibrosis/chronic liver disease， benign gallbladder/biliary tract diseases， and pancreatitis were 1 104.40/100 000， 1 045.05/100 000， and 16.64/100 000， respectively； the age-standardized prevalence rates were 20 592.37/100 000， 2 364.85/100 000， and 9.43/100 000， respectively； the age-standardized mortality rates were 1.61/100 000， 0.04/100 000， and 0.18/100 000， respectively. From 1990 to 2021， there was a tendency of increase in the age-standardized incidence rate of liver fibrosis/chronic liver disease （EAPC=0.43， 95% confidence interval ［CI］： 0.23 — 0.63）， and there was also a tendency of increase in the age-standardized incidence and prevalence rates of benign gallbladder/biliary tract diseases （incidence rate： EAPC=1.07， 95%CI： 0.91 — 1.24； prevalence rate： EAPC=0.75， 95%CI： 0.59 — 0.89）， while there was a tendency of reduction in the age-standardized mortality rate of all three disease categories. Predictions for 2022 — 2030 indicated a potential reduction in the incidence rate of benign gallbladder/biliary tract diseases and an increase in the incidence rate of pancreatitis. ConclusionThere has been an overall upward trend in the incidence rate of liver fibrosis/chronic liver disease and gallbladder/biliary tract diseases over the past three decades， and it is needed to pay attention to the disease burden of benign hepatobiliary diseases among the people aged 15 — 39 years in China.

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.

ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Objective To investigate the biological behavior of EMP1 in pancreatic cancer cells and the molecular mechanism of EMP1 in promoting tumor progression.Methods A stable EMP1 knockdown cell line was obtained by lentivirus transfection.The effect of EMP1 on the proliferation of cancer cells was determined by CCK-8 and clonal formation assay.The effect of EMP1 on the migration and invasion of cancer cells was detected by scratch test and Transwell test.The influence of EMP1 on downstream signaling pathways was investigated by Western blot.Results The results of qRT-PCR and Western blot showed that EMP1 was highly expressed in pancreatic cancer cells.The results of CCK-8,colony formation,scratch,and Transwell assays indicated that EMP1 promoted the proliferation,migration,and invasion of pancreatic cancer cells.Western blot results revealed that EMP1 might promote tumor progression through the PI3K/AKT signaling pathway.Conclusion This study suggested that EMP1 may activate the PI3K/AKT signaling pathway to promote the proliferation,migration,and invasion of pancreatic cancer cells,thereby positively regulating tumor progression.

Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Objective To investigate the biological behavior of EMP1 in pancreatic cancer cells and the molecular mechanism of EMP1 in promoting tumor progression.Methods A stable EMP1 knockdown cell line was obtained by lentivirus transfection.The effect of EMP1 on the proliferation of cancer cells was determined by CCK-8 and clonal formation assay.The effect of EMP1 on the migration and invasion of cancer cells was detected by scratch test and Transwell test.The influence of EMP1 on downstream signaling pathways was investigated by Western blot.Results The results of qRT-PCR and Western blot showed that EMP1 was highly expressed in pancreatic cancer cells.The results of CCK-8,colony formation,scratch,and Transwell assays indicated that EMP1 promoted the proliferation,migration,and invasion of pancreatic cancer cells.Western blot results revealed that EMP1 might promote tumor progression through the PI3K/AKT signaling pathway.Conclusion This study suggested that EMP1 may activate the PI3K/AKT signaling pathway to promote the proliferation,migration,and invasion of pancreatic cancer cells,thereby positively regulating tumor progression.