BackgroundAnxiety exhibits a rising prevalence among college students. Investigating the mechanisms through which family function relates to anxiety and examining the moderating role of emotion regulation strategies within this context hold substantial implications for promoting mental health among college students. However， existing research has not sufficiently elucidated the complex interplay among family function， emotion regulation， and anxiety among college students. Further research is warranted to clarify the underlying mechanisms linking family function to anxiety outcomes and to examine the potential moderating role of emotion regulation strategies in this causal pathway. ObjectiveTo explore the relationship between family function and anxiety among lower-grade college students， and to validate the moderating role of emotion regulation strategies in this relationship， thereby offering evidence-based insights for anxiety reduction interventions in this population. MethodsIn March 2023， a total of 1 980 first- and second-year students from a comprehensive university in Shanghai were selected using the cluster sampling method. A self-designed demographic questionnaire， the Emotion Regulation Questionnaire （ERQ）， the Family Adaptability and Cohesion Evaluation Scale Ⅱ-Chinese Version （FACES Ⅱ-CV）， and the Symptom Checklist-90 （SCL-90） were utilized for assessment. Pearson correlation analysis and Spearman correlation analysis were employed to test the correlations of each variable. Hierarchical linear regression analysis was conducted to certify the moderating role of emotion regulation strategies in the relationship between family function and anxiety. ResultsCompared with female students， male students scored significantly lower on ERQ cognitive reappraisal （t=-5.793， P<0.01） but significantly higher on ERQ expressive suppression （t=8.359， P<0.01）. For lower-grade college students， scores on adaptability and cohesion subscales of FACES Ⅱ-CV showed a positive association with cognitive reappraisal in ERQ （r=0.251， 0.302， P<0.01）， while simultaneously displaying negative correlations with both expressive suppression in ERQ （r=-0.113， -0.154， P<0.01） and anxiety in SCL-90 （r=-0.243， -0.202， P<0.01）. Notably， anxiety scores in SCL-90 were inversely related to cognitive reappraisal scores in ERQ （r=-0.159， P<0.01） but directly associated with expressive suppression scores in ERQ （r=0.171， P<0.01）. Hierarchical regression analysis indicated that cognitive reappraisal significantly moderated the relationship between family cohesion and anxiety （β=-0.421， P<0.01）. ConclusionThe cognitive reappraisal strategy serves as a moderator in the relationship between family cohesion and anxiety， potentially mitigating the escalation of anxiety levels associated with family dysfunction. ［Funded by Science and Technology Development Fund of Shanghai Pudong New Area （number， PKJ2023-Y21）］

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

ObjectiveThis paper aims to investigate the potential molecular biological mechanism of Buyang Huanwu Tongfeng decoction in treating hyperuricemia and gouty arthritis by network pharmacology and molecular docking technology and preliminarily verify the mechanism through animal experiments. MethodsThe active ingredients and targets in the Buyang Huanwu Tongfeng decoction were obtained by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and ETCM databases. The DisGeNET and GeneCards databases were utilized to acquire disease targets associated with hyperuricemia and gouty arthritis. These disease targets were then intersected with drug targets to identify key targets. The R language ClusterProfiler package and Python were employed for conducting gene ontology（GO） enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） enrichment analysis. The regulatory network diagram of the drug-key target-function-pathway was visualized using Cytoscape 3.9.1 software， and the protein-protein interaction （PPI） network for key targets was depicted. Finally， the hub gene was determined through topological analysis. Auto Dock， PyMOL， and other software were used for molecular docking to explore the possible therapeutic mechanism of Buyang Huanwu Tongfeng decoction for hyperuricemia and gouty arthritis. In animal experiments， a composite rat model of hyperuricemia induced by intraperitoneal injection of oteracil potassium combined with gouty arthritis induced by the modified Coderre method was established. Through hematoxylin-eosin（HE） staining， uric acid test， enzyme linked immunosorbent assay（ELISA）， Western blot， and real-time polymerase chain reaction（Real-time PCR）， the molecular mechanism and key targets of Buyang Huanwu Tongfeng decoction for treating hyperuricemia and gouty arthritis were observed. ResultsAfter screening and removing duplicate values， 76 active ingredients and 15 key targets were finally obtained. GO enrichment analysis yielded that the treatment of hyperuricemia and gouty arthritis with Buyang Huanwu Tongfeng decoction was significantly associated with acute inflammatory response， astrocyte activation， regulation of interleukin （IL）-8 production， nuclear receptor activity， and binding of growth factor receptor. KEGG pathway enrichment analysis obtained that the key target genes were significantly associated with the IL-17 signaling pathway， advanced glycosylation end/receptor of advanced glycation endproducts（AGE/RAGE） signaling pathway， anti-inflammatory， and other pathways. PPI network indicated that albumin（ALB）， peroxisome proliferator-activated receptor-γ （PPAR-γ）， IL-6， IL-1β， and C-reactive protein（CRP） were the key protein targets. The molecular docking results showed that ALB had the strongest binding force with beta-carotene （β-carotene）. Biochemical results showed that blood uric acid decreased in the Buyang Huanwu Tongfeng decoction groups. HE staining results showed that the low-dose （7.76 g·kg^-1·d^-1）， medium-dose （15.53 g·kg^-1·d^-1）， and high-dose （31.05 g·kg^-1·d^-1） groups of Buyang Huanwu Tongfeng decoction had different degrees of remission， and the remission of the high-dose group was the most obvious. Fibroblastic tissue hyperplasia in synovial joints accompanied with inflammatory cell infiltration， as well as inflammatory cell infiltration in renal tissue of the high-dose group was significantly reduced， followed by the medium-dose and low-dose groups， and the expression of ALB， PPAR-γ， IL-6， IL-1β， and CRP was down-regulated to different degrees. ConclusionBy regulating the targets such as ALB， PPAR-γ， IL-6， IL-1β， and CRP， inhibiting the PPAR-γ/nuclear transcription factor （NF）-κB pathway， and reducing AGEs/RAGE-mediated inflammation， Buyang Huanwu Tongfeng decoction exerts anti-inflammatory and analgesic effects and activates blood circulation and diuresis in the treatment of hyperuricemia and gouty arthritis.

Objective: To explore the associations of moderate to vigorous intensity physical activity (MVPA) and sedentary behavior (SB) among primary and secondary school students and their parents, so as to provide a scientific basis for formulating targeted physical activity promotion strategies for children and adolescents. Methods: From 2021 to 2022, basic information and 24 h movement behaviors of 2 484 pairs of students and their parents were collected from five primary and secondary schools in Haizhu District, Guangzhou City, with a convenient sampling combining with cluster sampling method. Component regression models were constructed to analyze the relationship between parental MVPA, SB and primary and secondary school students MVPA and SB, and a component isochronous substitution model was used to explore the effects of mutual substitution between parental MVPA, residual components (time use components other than SB during the 24 h period), and SB on the behavioral activities of MVPA and SB in primary and secondary school students. Results: Parental MVPA and SB of students in grade 1 to 3 were positively correlated with both students MVPA and SB ( β=0.06, 0.12, P <0.01). The component isochronous substitution model showed that substituting 10 and 20 minutes of MVPA for SB by parents in grade 1 to 3 was associated with an increase in MVPA of students, and substituting 10 and 20 minutes of residual ingredients for SB was associated with a decrease in SB of students, with mean changes of 0.8 (95% CI =0.4-1.2) and 1.4 (95% CI =0.7-2.2) and -1.4 (95% CI =-1.7 to -1.1) and -2.9 (95% CI =-3.4 to -2.3)( P <0.05). No statistically significant associations were observed between parents of students in grades 4 to 6 and 7 to 9 and students physical activity and sedentary behaviour ( P >0.05). Conclusions Parents of students in grades 1 to 3 increases MVPA and decrease SB are beneficial to increase MVPA and decrease SB of students. Parents could promote physical activity among primary and secondary school students, and the intervention gateway should be advanced, with the low grades as the optimal intervention period.

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Objective To investigate the impact of different δ-catenin expression levels on brain small-world network alterations before and after chemotherapy in breast cancer patients using resting-state function-al MRI(rs-fMRI).Methods A total of 66 breast cancer patients who were pathologically diagnosed and did not receive the first chemotherapy were included and divided into the high-expression(DH)group(n=31)and the low-expression(DL)group(n=35)according to the expression level of δ-catenin.rs-fMRI were per-formed before and after chemotherapy respectively to calculate the attributes of the brain small-world net-work,including parameters such as node local efficiency(NE),betweenness centrality(BC),degree centrality(DC)and the changes in the attributes of the brain small-world network of patients before and after chemo-therapy were analyzed.Results There was no statistically significant difference in the longitudinal comparison of network indicators such as small-world coefficient(σ),characteristic path length(λ),cluster coefficient(γ),local clustering coefficient(Cp),average shortest path length(Lp),global efficiency(Eg),and local effi-ciency(Eloc)before and after chemotherapy between the DL group and the DH group(P>0.05).In the DL group,post-chemotherapy NE values was decreased in the left olfactory cortex,bilateral orbital superior fron-tal gyri,right gyrus rectus,and left caudate nucleus,while increased in the bilateral central operculum,left su-perior parietal gyrus,right superior temporal gyrus,and temporal pole of the right superior temporal gyrus.In the DH group,post-chemotherapy NE values was decreased in the bilateral supplementary motor area and right angular gyrus,and right superior temporal gyrus,but increased in the left globus pallidus.Post-chemo-therapy BC values in the DL group was decreased in the left pericalcarine cortex,right lingual gyrus,and left caudate nucleus,and increased in the left medial superior frontal gyrus.In the DH group,post-chemotherapy BC values was decreased in the right supplementary motor area and right caudate nucleus,while increased in the right posterior cingulate gyrus and left globus pallidus.Post-chemotherapy DC values in the DL group was decreased in the left supplementary motor area,right gyrus rectus,and left caudate nucleus,but increased in the right opercular part of the inferior frontal gyrus,right central operculum,right temporal pole of the superi-or temporal gyrus,right superior temporal gyrus,left superior parietal gyrus,left angular gyrus,and bilateral supramarginal gyri.In the DH group,post-chemotherapy DC values was decreased in the left precentral gyrus,bilateral supplementary motor areas,left fusiform gyrus,right angular gyrus,and right superior temporal gy-rus,while increased in the left globus pallidus.Conclusion The high expression of δ-catenin may further ag-gravate the damage of chemotherapy to the brain small-world network of breast cancer patients,mainly invol-ving motor and cognition-related brain regions.

Objective:To investigate the distribution characteristics of cognition-related lifestyles of elderly in communities and explore the integrated effects on early cognitive decline.Methods:The participants were from the Project of Prevention and Intervention of Neurodegenerative Disease for Elderly in China. A total of 2 537 older adults aged ≥60 years without dementia in the 2015 baseline survey and the 2017 follow-up survey were included. The information about their cognition-related lifestyles, including physical exercise, social interaction, leisure activity, sleep quality, smoking status, and alcohol consumption, were collected through questionnaire survey and the integrated scores were calculated. Multivariate logistic regression analysis was used to assess the association between integrated cognition-related lifestyle score and early cognitive decline.Results:In the 2 537 older adults surveyed, 28.7% had score of 5-6, while only 4.8% had high scores for all 6 healthy lifestyles. Significant differences in healthy lifestyle factor distributions were observed between men and women. Multivariate logistic regression model showed that the risks for early cognitive decline in the older adults who had lifestyle score of 4 and 5-6 were lower than that in those with lifestyle score of 0-3 ( OR=0.683, 95% CI: 0.457-1.019; OR=0.623, 95% CI: 0.398-0.976; trend P=0.030). In the women, the risks for early cognitive decline was lower in groups with score of 4 and 5-6 than in group with score of 0-3 ( OR=0.491, 95% CI: 0.297-0.812; OR=0.556, 95% CI: 0.332-0.929; trend P=0.024). Conclusion:Cognition-related healthy lifestyles are associated with significantly lower risk for early cognitive decline in the elderly, especially in women.

Objective To explore the clinical effect of honey in preoperative bowel preparation for colonoscopy in hospitalized patients.Methods 87 patients from April 2022 to July 2022 and underwent preoperative bowel preparation for colonoscopy were selected as the research subjects.Convenience sampling was used to divide them into a control group(n=43)and an observation group(n=44).The control group received a conventional regimen of taking compound polyethylene glycol(PEG)electrolyte powder(Heshuang),while the observation group added 20 mL of honey to the Heshuang solution.Compare the cleanliness of intestine,and palatability of the taste,the incidence of adverse reactions,satisfaction of patients,and the rate of willingness for prepeat bowel preparation between the two groups.Results The intestinal cleanliness of the two groups of patients was equivalent,the difference was not statistically significant(P＞0.05).The incidence and severity of nausea,abdominal bloating,hypoglycemia,and anal irritation in the observation group were lower than those in the control group,the differences were statistically significant(P＜0.05).The observation group had better taste,patients satisfaction,and the willingness for prepeat bowel preparation compared to the control group,the differences were statistically significant(P＜0.05).Conclusion Honey can improve the taste of Heshuang,reduce the severity of oral adverse reactions,increase patient satisfaction,and increase the rate of willingness for prepeat bowel preparation.

Objective:To evaluate the efficacy of pecto-intercostal fascial block (PIFB)-pectoral nerve block type Ⅱ (PECS Ⅱ block)-general anesthesia for modified radical mastectomy.Methods:Forty-six patients, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, aged 40-65 yr, scheduled for elective modified radical mastectomy, were divided into 2 groups ( n=23 each) using a random number table method: PECS Ⅱ block-general anesthesia group (group P+ G) and PIFB-PECS Ⅱ block-general anesthesia group (group P+ P+ G). The patients received ultrasound-guided PECS Ⅱ block (P+ G group) or PIFB combined with PECS Ⅱ block (P+ P+ G group) in the pre-anesthesia room. Then the patients were admitted to the operating room, and midazolam, propofol, sufentanil and cisatracurium were used for anesthesia induction, and sevoflurane, remifentanil and cisatracurium were used for anesthesia maintenance. The intraoperative consumption of remifentanil, emergence time and extubation time were recorded. Flurbiprofen axetil 50 mg was intravenously injected as rescue analgesic after operation, and visual analog scale score was maintained ≤3 at rest. The requirement for rescue analgesia and occurrence of nausea and vomiting within 24 h after operation were recorded. Results:Compared with group P+ G, the intraoperative consumption of remifentanil was significantly decreased, the emergence time and extubation time were shortened, the rate of rescue analgesia within 24 h after operation was decreased, the time of first rescue analgesia was prolonged ( P<0.05), and no significant change was found in the incidence of nausea and vomiting in group P+ P+ G ( P>0.05). Conclusions:Compared with PECS Ⅱ block-general anesthesia, PIFB-PECS Ⅱ block-general anesthesia can reduce the amount of intraoperative opioids, inhibit postoperative hyperalgesia and promote early postoperative recovery when used for modified radical mastectomy.

Objective To analyze the epidemic characteristics of varicella and the genetic characteristics of varicella zoster virus (VZV) in Yangzhou in 2021, and to provide a theoretical basis for the scientific prevention and control of varicella in Yangzhou. Methods Descriptive epidemiological analysis was carried out on the varicella outbreaks reported in Yangzhou in 2021. Throat swabs or herpes fluid samples from varicella cases in 2021 were collected, and the viral nucleic acid was detected by real-time fluorescent quantitative PCR. The genotype and evolutionary relationship of the virus strain were determined according to the 6 SNPs in the ORF22 gene fragment sequence. Results In 2021, there were 20 varicella outbreaks in Yangzhou, involving 147 cases, all of which occurred in kindergartens and primary and secondary schools, and the peak incidence was in the age group of 4-7 years old. The high incidence time of the outbreaks was from May to July, and from November to January of the next year. The varicella vaccination rate of the cases was low, and all were 1-dose vaccination. The gene sequencing results of 8 samples were J/clade 2, and 3 of them had A-C synonymous mutation at position 37997 in ORF22 sequence. Conclusion In 2021, varicella outbreaks in Yangzhou occurred mainly in kindergartens and schools. Preschool children are susceptible, all of which are caused by J/clade 2 varicella-zoster virus. It is suggested to strengthen the monitoring and management of the varicella epidemic situation in schools in the city, and at the same time incorporate the varicella vaccine into the routine immunization program of the city and strengthen 2 doses of varicella vaccination.