The onset and progression of chronic heart failure （CHF） are closely associated with myocardial energy metabolism disorders， and this pathological process significantly affects patient prognosis. Traditional Chinese medicine （TCM）， grounded in time-based medical theories such as the correspondence between humans and nature and the theory of circadian flow of meridians （Ziwu Liuzhu）， exhibits intrinsic consistency with modern circadian rhythm theory， providing a unique theoretical framework for understanding and intervening in CHF from a temporal perspective. This article systematically explores the impact of circadian rhythms on energy metabolism and the potential mechanisms by which TCM active ingredients intervene in CHF through a review of relevant literature. It is found that various TCM active ingredients， including flavonoids （such as nobiletin）， alkaloids （such as berberine）， and polyphenols （such as resveratrol）， can improve mitochondrial function， promote fatty acid oxidation， enhance glucose uptake and utilization efficiency， maintain metabolic balance， and alleviate oxidative stress and inflammatory responses in myocardial cells by regulating the expression and rhythms of core circadian clock genes such as CLOCK， BMAL1， PER， and CRY. These actions thereby correct energy metabolism disorders and improve cardiac function. Further exploration of the interaction mechanisms between these components and the circadian rhythms holds promise for providing novel theoretical foundations and potential intervention strategies for the prevention and treatment of CHF.

BackgroundIn recent years， the incidence of depression among adolescents has been increasing steadily， posing a serious threat to their physical and mental health and even leading to severe consequences such as self-harm and suicide. At the same time， the detection rate of subclinical depression symptoms among adolescents is even higher. Although these symptoms do not meet the clinical diagnostic criteria， they have significantly affected their quality of life， and their persistence over time may further develop into depression. Therefore， in-depth exploration of adolescent depression symptoms and the predictive factors holds significant practical significance and research value. However， up to now， no large-scale investigation and research on depression symptoms among children and adolescents has been conducted in Inner Mongolia Autonomous Region. ObjectiveTo understand the prevalence of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region， in order to provide references for formulating scientific and effective prevention strategies and intervention measures. MethodsBy using the cluster stratified random sampling method， 6 281 students from the third grade of primary school to the second grade of high school in 12 leagues and cities of Inner Mongolia Autonomous Region were selected in March 2024. A self-designed questionnaire and the Self-rating Depression Scale （SDS） were used for on-site investigation. ResultsA total of 6 058 （96.45%） children and adolescents completed the valid questionnaire survey， and 2 728 cases （45.03%） were found to have depressive symptoms. There were statistically significant differences in the detection rates of depressive symptoms among children and adolescents of different genders， ages， whether they were only children， different family types， family monthly income， parents' educational levels， and whether the mother was employed （χ²=33.769， 40.618， 48.593， 29.972， 142.648， 195.999， 168.190， 5.445， P<0.05 or 0.01）.The results of the Logistic regression analysis showed that for children and adolescents， being female， aged between 12 and 16， over 16 years old， not being an only child， living in a reconstituted family， having a monthly family income of less than 5 000 yuan， and having parents with an education level of primary school or below were predictors of depressive symptoms （OR=1.241， 1.427， 1.273， 1.177， 1.549， 1.278， 1.462， 1.417， 1.514， 1.929， 1.660， 1.528， P<0.05 or 0.01）. ConclusionThe detection rate of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region is relatively high. Factors that may predict depressive symptoms in children and adolescents include female gender， ages between 12 and 16， ages over 16 years old， non-only children， families with a restructured structure， monthly family income of less than 5 000 yuan， and parents with an education level of primary school or below. ［Funded by Science and Technology Planning Project of the Inner Mongolia Autonomous Region （number， 2022YFSH0119）］

ObjectiveTo investigate the efficacy of C-reactive protein （CRP） in predicting the progression to acute-on-chronic liver failure （ACLF） within 90 days after disease onset in patients with acute decompensation （AD） of cirrhosis， and to provide a reference for the early identification of high-risk populations in clinical practice. MethodsA retrospective study was conducted among 906 patients with liver cirrhosis who were hospitalized due to AD in Nanjing Second Hospital from January 1， 2015 to October 31， 2024， and demographic features， AD type， and laboratory markers were collected on admission. The primary endpoint was progression to ACLF within 90 days after admission， and according to the presence or absence of ACLF， the patients were divided into non-ACLF group with 676 patients and ACLF group with 230 patients. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The univariate and multivariate Cox proportional-hazards regression models were used to identify independent predictive factors for ACLF. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of CRP and existing scoring systems （Model for End-Stage Liver Disease ［MELD］， Child-Turcotte-Pugh ［CTP］ score， and Chronic Liver Failure Consortium Acute Decompensation ［CLIF-C AD］ score）， and the restricted cubic spline analysis was used to investigate the nonlinear relationship between CRP and the risk of ACLF. Youden index was used to determine the optimal predictive cut-off value for CRP， and the Kaplan-Meier survival curve was plotted for risk stratification， while the log-rank test was used for survival analysis. ResultsAmong the 906 AD patients， the incidence rate of ACLF was 25.39% within 90 days. The incidence rate of ACLF within 90 days was 45.1% in the 264 patients with bacterial infection and 17.3% in the 642 patients without bacterial infection （χ²=74.791， P<0.001）. Among the 906 patients， 312 patients （34.44%） had acute-on-chronic pre-liver failure （pre-ACLF）， with a significantly higher proportion of patients who progressed to ACLF than those in the non-pre-ACLF group ［60.58% （189/312） vs 6.90% （41/594）， χ²=310.234， P<0.001］. Among the 230 patients with ACLF， there were 102 patients with stable ACLF （44.35%） and 128 patients with unstable ACLF （55.65%）， with a significant difference in CRP between the two groups of patients （U=5 234.500， P<0.001）. The restricted cubic spline analysis showed a significant nonlinear relationship between CRP and the risk of ACLF （P<0.001）. The optimal cut-off value of CRP was determined as 10.16 mg/L based on the Youden index， with a sensitivity of 70.4% and a specificity of 64.5%. The Kaplan-Meier curve analysis showed that the high-risk group with CRP≥10.16 mg/L had a significantly higher event-free survival rate of ACLF within 90 days compared with the low-risk group （P<0.001）. The multivariate Cox regression analysis showed that AD type-hepatic encephalopathy （hazard ratio ［HR］=4.199， 95% confidence interval ［CI］： 3.056 — 5.770， P<0.001）， AD type-bacterial infection （HR=1.826， 95%CI： 1.356 — 2.459， P<0.001）， CRP （≥10.16 mg/L） （HR=2.356， 95%CI： 1.825 — 3.047， P<0.001）， white blood cell count （HR=1.021， 95%CI： 1.002 — 1.041， P=0.035）， hemoglobin （HR=0.994， 95%CI： 0.989 — 0.999， P=0.025）， international normalized ratio （HR=1.657， 95%CI： 1.372 — 2.001， P<0.001）， total bilirubin （HR=1.003， 95%CI： 1.002 — 1.004， P<0.001）， albumin （HR=0.956， 95%CI： 0.926 — 0.986， P=0.004）， creatinine （HR=1.005， 95%CI： 1.004 — 1.006， P<0.001）， serum sodium （HR=0.976， 95%CI： 0.956 — 0.997， P=0.025）， and lactate dehydrogenase （HR=1.001， 95%CI： 1.001 — 1.002， P<0.001） were all independent predictive factors for progression to ACLF within 90 days. The ROC curve analysis showed that CRP alone had an area under the ROC curve （AUC） of 0.724 （95%CI： 0.685 — 0.763） in predicting ACLF， and CRP+MELD score had the best predictive performance （AUC=0.870， 95%CI： 0.843 — 0.898）， while CRP+CTP score and CRP+CLIF-C AD score had an AUC of 0.852 （95%CI： 0.823 — 0.881） and 0.845 （95%CI： 0.812 — 0.877）， respectively. There was a significant increase in model performance after integration （P<0.05）. ConclusionSerum CRP level on admission is an independent predictive factor for progression to ACLF within 90 days in patients with AD of cirrhosis， and a CRP level of ≥10.16 mg/L can be used as a simple threshold for identifying high-risk patients. Incorporating CRP into existing assessment systems may enhance the early identification of patients at a high risk for ACLF， which provides a reference for clinical intervention.

The Pharmacopeia of the People’s Republic of China 2025 Edition (referred to as the Chinese Pharmacopoeia 2025 Edition, ChP 2025) will be promulgated and implemented. This article introduces the process of development of ChP 2025 Edition (Volume Ⅱ), including the selection, the revision of general notices,the addition and revision of drug monographs, etc., and provides some analysis and examples to illustrate,which can facilitate the readers to understand and implement the ChP 2025 Edition (Volume Ⅱ).

As a cutting-edge technology in minimally invasive surgery,single-port robotic surgery systems have demonstrated significant advantages in gynecology.This study reviewed 22 clinical research papers on the application of single-port robotic surgery in gynecology,involving 2 130 patients.The data indicated that,compared with conventional surgery,single-port robotic surgery had advantages such as a shorter learning curve,reduced intraoperative blood loss,improved cosmetic outcomes,and fewer postoperative complications,particularly in managing benign conditions like uterine fibroids.However,its application in gynecological malignancies remains challenging.Future research will require large-scale,multicentre studies with long-term follow-up to validate long-term efficacy.Advancing novel materials and integrating artificial intelligence with single-port robotic systems will help overcome current limitations,propelling gynecological surgery towards greater precision and minimally invasive techniques.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.

Objective:To evaluate the causal relationship between autism spectrum disorder (ASD) and chronic pancreatitis (CP) using a bidirectional two-sample Mendelian randomization (MR) analysis.Methods:Based on genome-wide association study (GWAS) data, forward and reverse two-sample MR analyses were conducted to examine the causal relationship between ASD and CP. Single-nucleotide polymorphisms (SNPs) reaching genome-wide significance were selected from the GWAS data as candidate instrumental variables, and the Steiger directionality test was used to confirm the causal direction. The inverse-variance weighted (IVW) method was applied as the primary analysis to estimate the causal effect of the exposure on the outcome. MR-Egger regression and weighted median methods were used as supplementary sensitivity analyses to assess the robustness of the results. Pleiotropy and heterogeneity tests were performed to evaluate the reliability of the findings.Results:The forward MR analysis ultimately identified 29 SNPs. The IVW analysis indicated that ASD had a significant positive causal effect on CP risk ( OR=1.197, 95% CI 1.047-1.368, P=0.008), with no evidence of horizontal pleiotropy or significant heterogeneity. In the reverse MR analysis, 17 SNPs were included; the IVW analysis did not detect a significant causal effect of CP on ASD ( OR=0.990, 95% CI 0.935-1.047, P=0.717), also with no evidence of horizontal pleiotropy or significant heterogeneity. Causal effect estimates from MR-Egger regression and weighted median analyses were generally consistent with those of IVW. Conclusions:These findings indicate that, at the level of genetic susceptibility, ASD is a risk factor for CP.