The circadian system maintains physiological homeostasis by precisely orchestrating 24-hour cycles of metabolic and cardiovascular functions. Circadian disruption has been substantiated as a contributor to cardiometabolic dysfunction, significantly elevating the risk of obesity, type 2 diabetes, hypertension, and cardiovascular diseases, thereby emerging as a crucial target for global chronic disease prevention. In 2025, the American Heart Association (AHA) issued a dedicated scientific statement that systematically reviewed the regulatory mechanisms of circadian rhythms and their intrinsic links to cardiometabolic health. It highlighted the pivotal role of modifiable behavioral factors, including light exposure, sleep-wake patterns, meal timing, and timing of physical activity, and proposed multi-faceted intervention strategies centered on chronotherapy. Considering the distinct circadian characteristics and chronic disease epidemiology in the Chinese population compared to Western counterparts, this article, grounded in the statement's core framework and incorporating evidence from localized Chinese research, provides a systematic interpretation of the biological basis of circadian rhythms, the pathophysiological mechanisms underlying disruption-related diseases, and potential intervention pathways. It particularly discusses the applicability of the statement's conclusions to clinical practice and public health strategies in China, aiming to offer an evidence-based reference for developing a cardiometabolic health support system tailored to the national context.

Objective: To explore the association between vegetable intake with glucose and lipid metabolism levels among school aged children, so as to provide scientific basis for dietary intervention on children s metabolic health. Methods: Based on a natural population cohort in Jiulongpo District and Fengdu County of Chongqing, 2 133 school aged children aged 6-9 years were enrolled in the baseline survey in 2014, and 2 029 children completed the follow up in 2019. Questionnaire surveys were used to collect vegetable intake, general demographic and lifestyle data. Height, weight and waist circumference were measured, and glucose and lipid metabolism indicators such as fasting blood glucose (FBG), triglyceride (TG) and total cholesterol (TC), low densith lipoprotein triglyceride (LDL-C), high densith lipoprotein triglyceride (HDL-C) were detected. Mann-Whitney U test and Kruskal-Wallis H test were used for intergroup comparisons in multivariate analysis, and mixed effects linear regression model was used to analyze the association between vegetable intake and glucose and lipid metabolism. Results: The levels of FBG, TG, TC, HDL-C and LDL-C at baseline and follow up were [4.09(3.90,4.48), 0.84(0.60,1.14), 3.49(3.09,3.91), 1.25(1.09,1.46), 1.69 ( 1.39 ,2.02)；4.31(4.00,4.64), 0.92(0.71,1.22), 3.49(3.12,3.87), 1.36(1.16,1.57), 1.77(1.51,2.06)] mmol/L, respectively. Among these indicators, FBG, TG, HDL-C and LDL-C all increased significantly ( Z =-12.08, -7.82, -9.82, -5.37, all P < 0.01 ). The detection rate of low HDL-C levels at follow up (13.11%) was significantly lower than that at baseline (18.10%) ( χ 2=19.57, P <0.05). At baseline, there were significant differences in FBG, TC, TG, HDL-C and LDL-C among children with different vegetable intake levels ( H =68.47, 30.16, 11.02, 13.27, 44.70); at followup, only HDL-C showed significant intergroup differences ( H =13.10)(all P <0.05). Mixed effects linear regression model showed that after adjusting for confounding factors, vegetable intake was significantly negatively correlated with blood glucose levels among school aged children ( β=-0.03, 95%CI = -0.05 to -0.01, P <0.01). Conclusion Higher vegetable intake can independently reduce the risk of abnormal blood glucose in school aged children, which is of great significance for maintaining glucose metabolic health.

Objective: To construct a risk prediction model for pediatric metabolic dysfunction associated steatotic liver disease (MASLD), so as to provide practical tool for the early identification of high risk children. Methods: A healthy cohort of children in Southwest China was established from January 2021 to April 2025. A nested case-control study design was used to include 507 cases MASLD group and 507 cases in non MASLD group. Data on physical measurements, blood biochemical parameters, and liver ultrasound indicators were collected. Conditional Logistic regression was used to analyze the relationship between individual variables and MASLD, Lasso regression was applied for multivariable screening, and a high risk prediction model was constructed and presented in the form of a nomogram. Internal validation was performed using 10 repeated ten fold cross validations to assess model discrimination, accuracy, sensitivity, and specificity. Results: Logistic regression analysis showed that MASLD was associated with central obesity ( OR=22.11, 95%CI =15.62-31.29), apolipoprotein B ( OR=30.24, 95%CI =12.42-73.63), increased hepatorenal echo ( OR=326.00, 95%CI =183.87-578.01), hepatomegaly ( OR=24.98, 95%CI =16.66-37.46) (all P <0.05). The Lasso regression jointly selected 6 key variables, including hepatorenal echo, central obesity, hepatomegaly, right liver lobe inclination, body mass index, and alanine amino transferase. The results of cross validation showed that the average area under the curve (AUC) was 0.999 5, the average accuracy was 98.74%, and the sensitivity and specificity were 98.21% and 99.22% respectively, indicating a good predictive effect of the model. Conclusion The risk prediction model for high risk MASLD among children based on ultrasound and clinical indicators has good prediction effect, which is helpful for the early identification and risk stratification of pediatric MASLD.

Objective: To investigate the association between body weight standardized vitamin B intakes and blood pressure among school aged children, so as to provide evidence for developing dietary guidance and intervention strategies of promoting healthy blood pressure in children. Methods: The data were derived from a pediatric health cohort established in both urban and rural areas of Chongqing. A total of 1 368 primary school students in grades one to three were recruited for the baseline survey between October and November 2014 by using a stratified cluster random sampling design. From February to March 2019, 1 283 participants completed the first follow up assessment. Dietary intake and sociodemographic characteristics were assessed using a food frequency questionnaire and a self administered questionnaire. Blood pressure, height, weight, and other anthropometric indicators were measured. Body weight standardized intakes of six B vitamins(B 1, B 2, B 3, B 6, B 9, and B 12 )were categorized into tertiles( T1-T 3). Linear mixed effects models were applied to examine the associations between body weight standardized vitamin B intakes and changes in systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP). In addition, mixed effects Logistic regression models were used to assess the risk of elevated blood pressure. Results: Linear mixed effects model regression analyses showed that, after adjusting for potential confounders including age, sex, and family history of obesity, body weight standardized B vitamin intake was negatively associated with SBP, DBP, and MAP in school aged children ( β =-7.79 to -0.68, all P <0.05). Results from the mixed effects Logistic regression models showed that, compared with the T 1 group, children in the T 3 group had a lower risk of elevated blood pressure for vitamin B 1 ( OR=0.40, 95%CI =0.25-0.64), B 2 ( OR=0.36, 95%CI =0.23-0.58), B 3 ( OR=0.47, 95%CI =0.31-0.72, B 6 ( OR=0.37, 95%CI =0.22-0.60), B 9 ( OR=0.36, 95%CI =0.21-0.60), and B 12 ( OR= 0.56 , 95%CI =0.37-0.86)(all P <0.05). Conclusions Body weight standardized B vitamins were associated with changes in blood pressure levels and the risk of elevated blood pressure among school aged children. Ensuring sufficient dietary intakes of vitamin B may help prevent and control of abnormal blood pressure in children.

Coronary CT-derived fractional flow reserve (CT-FFR) is a noninvasive alternative to invasive FFR for assessing the hemodynamic significance of coronary artery stenosis. CT-FFR uses routinely acquired coronary CT angiography (CCTA) with artificial intelligence and computational fluid dynamics to estimate pressure gradients, thereby supporting clinical decisionmaking without procedural risk. Adoption and implementation vary widely across regions. In Asia, South Korea exclusively uses HeartMedi+, which enables rapid analysis, streamlined workflow integration, and high user satisfaction. Japan relies primarily on FFR CT, which has national reimbursement and significantly influences treatment strategies, reducing unnecessary invasive procedures. Hong Kong, Singapore, Taiwan, Thailand, and Vietnam remain in early or exploratory phases due to cost, reimbursement, and infrastructure barriers. In the United States, CT-FFR is guideline-endorsed and reimbursed, where HeartFlow is the most widely used, supported by robust clinical validation and outcome data. Despite regional variability, CTFFR offers a noninvasive solution that enhances patient management, reduces unnecessary invasive testing, and is poised for broader clinical integration as technology and validation advance.

OBJECTIVE To investigate the mechanism by which Shenfukang capsule （SFK） ameliorates renal interstitial fibrosis （RIF） by regulating macrophage-fibroblast crosstalk via the signal transducer and activator of transcription 3 （STAT3）/Yes-associated protein （YAP） pathway. METHODS RAW264.7 macrophages were induced to polarize with transforming growth factor-β 1 （TGF-β 1 ）. Subsequently， a non-contact co-culture system of macrophages with renal fibroblasts NRK-49F， as well as a non-contact co-culture system of macrophages with YAP-knockdown renal fibroblasts， were established. Cells were treated with low， medium， and high concentrations （4， 8， 16 μg/mL） of SFK， as well as a STAT3 inhibitor （STAT3-I，1.64 μg/mL） and losartan potassium tablets （positive control， 0.28 μg/mL）， for 48 h. After intervention， the protein and mRNA expression levels of CD86， CD163， and STAT3 in macrophages， as well as CD86， F4/80， and STAT3 mRNA， were detected. In co-cultured renal fibroblasts， the protein and mRNA expression levels of α -smooth muscle actin （ α -SMA）， Vimentin， collagen type Ⅰ （Col-Ⅰ）， matrix metalloproteinase-1 （MMP-1）， and YAP were detected. In co-cultured YAP-knockdown renal fibroblasts， the protein and mRNA expression levels of α -SMA， Vimentin， and MMP-1 were also detected. RESULTS Following TGF-β 1 induction， the protein expression levels of CD86， CD163， and STAT3， as well as the mRNA expression levels of CD86， F4/80， and STAT3 in macrophages were significantly increased （ P ＜0.05）. The conditioned medium from polarized macrophages activated renal fibroblasts， as evidenced by significantly increased protein and mRNA expression levels of α -SMA， Vimentin， Col-Ⅰ， and YAP， and significantly decreased protein and mRNA expression levels of MMP-1 in renal fibroblasts （ P ＜0.05）. Treatment with SFK and STAT3-I reversed the changes in the above indicators， with the medium concentration SFK group showing stronge r effects on some indicators than the low and high concentration groups. In the non-contact co-culture experiment of macrophages and YAP-knockdown renal fibroblasts， there were no statistically significant differences in the protein and mRNA expression of α-SMA， Vimentin， and MMP-1 among the groups. CONCLUSIONS SFK can inhibit macrophage-renal fibroblast crosstalk by blocking the STAT3/YAP pathway， thereby delaying the progression of RIF.

OBJECTIVE To explore the influencing factors of Shenfukang capsule in the treatment of chronic kidney disease （CKD） and construct a nomogram prediction model for evaluating its therapeutic efficacy. METHODS CKD patients who were hospitalized from July 2019 to August 2022 in the First Affiliated Hospital of Guangxi Medical University and treated with Shenfukang capsule were selected as study subjects. Clinical data of the patients were collected from the hospital’s electronic medical record system， and they were divided into an effective group and an ineffective group based on treatment outcomes. Lasso-Logistic multivariate regression analysis was used to screen the influencing factors of the efficacy of Shenfukang capsule. Using the effectiveness of Shenfukang capsule treatment as the prediction outcome and the screened influencing factors as predictor variables， a nomogram prediction model was constructed using R software. All patients were randomly divided into a training cohort and a validation cohort. The discriminative ability， calibration， and clinical net benefit of the model were evaluated using the receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis， respectively. RESULTS Lasso-Logistic regression analysis revealed that concurrent diabetes mellitus， decreased levels of blood urea nitrogen， triglycerides， and serum phosphorus， as well as prolonged prothrombin time and elevated apolipoprotein AⅠ levels， were influencing factors for reduced efficacy of Shenfukang capsule in CKD treatment. The evaluation results of the nomogram prediction model showed that the area under curve values were 0.745 and 0.797 in the training and validation cohorts， respectively， which were close and both exceeded 0.70， indicating stable predictive performance. The calibration curves demonstrated good agreement in both datasets， suggesting satisfactory calibration performance. The clinical decision curves were positioned above the two extreme reference lines， indicating high clinical benefit of the model. CONCLUSIONS Diabetes mellitus， blood urea nitrogen， triglycerides， apolipoprotein AⅠ， serum phosphorus， and prothrombin time were factors associated with the efficacy of Shenfukang capsule in CKD patients. The nomogram prediction model established in this study may provide a basis for rational clinical application of Shenfukang capsule and for improving its therapeutic efficacy in CKD.

OBJECTIVE To explore the influencing factors of Shenfukang capsule in the treatment of chronic kidney disease （CKD） and construct a nomogram prediction model for evaluating its therapeutic efficacy. METHODS CKD patients who were hospitalized from July 2019 to August 2022 in the First Affiliated Hospital of Guangxi Medical University and treated with Shenfukang capsule were selected as study subjects. Clinical data of the patients were collected from the hospital’s electronic medical record system， and they were divided into an effective group and an ineffective group based on treatment outcomes. Lasso-Logistic multivariate regression analysis was used to screen the influencing factors of the efficacy of Shenfukang capsule. Using the effectiveness of Shenfukang capsule treatment as the prediction outcome and the screened influencing factors as predictor variables， a nomogram prediction model was constructed using R software. All patients were randomly divided into a training cohort and a validation cohort. The discriminative ability， calibration， and clinical net benefit of the model were evaluated using the receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis， respectively. RESULTS Lasso-Logistic regression analysis revealed that concurrent diabetes mellitus， decreased levels of blood urea nitrogen， triglycerides， and serum phosphorus， as well as prolonged prothrombin time and elevated apolipoprotein AⅠ levels， were influencing factors for reduced efficacy of Shenfukang capsule in CKD treatment. The evaluation results of the nomogram prediction model showed that the area under curve values were 0.745 and 0.797 in the training and validation cohorts， respectively， which were close and both exceeded 0.70， indicating stable predictive performance. The calibration curves demonstrated good agreement in both datasets， suggesting satisfactory calibration performance. The clinical decision curves were positioned above the two extreme reference lines， indicating high clinical benefit of the model. CONCLUSIONS Diabetes mellitus， blood urea nitrogen， triglycerides， apolipoprotein AⅠ， serum phosphorus， and prothrombin time were factors associated with the efficacy of Shenfukang capsule in CKD patients. The nomogram prediction model established in this study may provide a basis for rational clinical application of Shenfukang capsule and for improving its therapeutic efficacy in CKD.

BackgroundCognitive function is closely related to an individual's quality of life and social functioning， with approximately 20%~35% of patients with depressive disorder experiencing some degree of cognitive impairment even after clinical symptom remission. Existing evidence suggests that tACS can improve specific cognitive domains， such as memory function， while its effects on other cognitive dimensions， such as executive functioning， attention， and information processing speed， remain unclear. ObjectiveTo explore the effects of tACS on the multidimensional cognitive functions and emotional problems of patients with depressive disorder， thus to provide references for the treatment of depressive disorder. MethodsForty-nine patients with depressive disorder who were hospitalized in the Fourth People's Hospital of Wuhu from November 2022 to October 2024 and met the diagnostic criteria for depressive disorder outlined in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， were selected as study participants. Subjects were randomly divided into study group （n=23） and control group （n=26） based on Microsoft Excel. Both groups received sertraline treatment. The initial dose was 50 mg/day， which gradually titrated upward based on individual variability， drug tolerance， and therapeutic response， with a maintenance dose ranging from 100 to 200 mg/day. In addition， the study group underwent tACS therapy for 4 weeks， with 5 sessions per week， each lasting 20 minutes. The control group received sham stimulation， in which the stimulus was interrupted after the first 30 seconds. At baseline， the 4^th week， and the 12^th week of treatment， patients were assessed using the Hamilton Depression Scale-17 item （HAMD-17）， Hamilton Anxiety Scale （HAMA）， and MATRICS Consensus Cognitive Battery （MCCB）. ResultsRepeated measures analysis of variance indicated that both the time effect and the time×group interaction effect for HAMD-17 scores were statistically significant between the two groups （F=260.437， 25.309， P<0.01）. At week 12 of treatment， the HAMD-17 score in the study group was lower than that in the control group （t=4.236， P<0.01）. For HAMA scores， the time effect， group effect， and time×group interaction effect were all statistically significant between the two groups （F=248.082， 4.506， 9.500， P<0.05 or 0.01）. At weeks 4 and 12， study group reported lower HAMA scores compared with control group （t=4.580， 2.608， P<0.05 or 0.01）. Regarding the MCCB scores for attention/vigilance， verbal learning， and overall composite， the time effect， group effect， and time×group interaction effect were all statistically significant between the two groups （F=70.331， 27.882， 51.679， 5.560， 10.948， 7.860， 8.490， 3.874， 5.025， P<0.05 or 0.01）. After intervention， the study group showed significantly higher MCCB scores for attention/vigilance， verbal learning， and overall composite at both week 4 （t=-2.149， -3.530， -2.740， P<0.05） and week 12 （t=-3.534， -3.576， -3.838， P<0.01） when compared to the control group. ConclusionThe combined tACS and sertraline therapy may demonstrate superior efficacy to pharmacotherapy alone in the short term for improving attention/vigilance， verbal learning， overall cognitive function， and anxiety symptoms in patients with depressive disorders. Based on the 12-week outcomes， the combined tACS and sertraline therapy not only sustaine its previously observed advantages in improving cognitive domains and anxiety symptoms， but also demonstrate potentially superior efficacy over monotherapy in alleviating depressive symptoms. ［Fund by Clinical Medical Research Transformation Special Project of Anhui Province （number， 202204295107020065）］

Objective: To develop a quality appraisal tool for case reports in traditional Chinese medicine (TCM) based on their characteristics. [Methods]: An extensive literature search was conducted in Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), and China Science and Technology Journal Database (CSTJ), focusing on expert consensus statements and checklists for TCM case reports. Relevant items were extracted, and a Delphi method involving 34 experts was used in two rounds to rate each item on a 5-point Likert scale. Items were screened based on measures of central tendency and coordination (including total score, mean score, percentage of items rated as unimportant, and coefficient of variation). The weighted average method was used to determine item weights and construct the appraisal tool. Internal consistency was assessed using Cronbach’s α coefficient. The finalized tool was pilot-tested by two reviewers independently appraising 20 case reports, with an additional four reviewers evaluating 5 of these cases to compare inter-rater consistency. Results: A total of 9 513 articles were retrieved, and 96 items from 25 articles were extracted. After two rounds of the Delphi method, 27 items across 10 domains were retained. The Cronbach’s α coefficient was 0.72 in the first round (acceptable range), and 0.96 in the second round, indicating strong internal consistency. The tool was piloted by six reviewers, achieving a kappa value of 0.663 and a Kendall’s coefficient of concordance of 0.845, demonstrating high consistency among reviewers. Conclusion The developed TCM case report quality appraisal tool, consisting of 27 items in 10 domains, offers a scientific and reliable means of assessing the quality of TCM case reports. The tool showed high consistency and practical utility, and its application is expected to enhance the standardization, scientific rigor, and evidence quality of TCM case reports, facilitating the integration of traditional medical knowledge with modern evidence-based standards.