Ulcerative colitis（UC） is a chronic non-specific inflammatory bowel disease characterized by inflammation and ulceration of the colonic mucosa and submucosa， and its complex pathogenesis involves immune abnormality， oxidative stress and other factors. The nuclear transcription factor E₂-related factor 2（Nrf2）， encoded by the Nfe212 gene， plays a central role in antioxidant responses. It not only activates various antioxidant response elements such as heme oxygenase-1（HO-1） and quinone oxidoreductase 1（NQO1）， but also enhances the activity of glutathione-S-transferase（GST） and superoxide dismutase 1（SOD1）， effectively eliminating reactive oxygen species（ROS） accumulated in the body， and mitigating oxidative stress-induced damage to intestinal mucosa. In addition， Nrf2 can reduce the release of inflammatory factors and infiltration of immune cells by regulating immune response， cell apoptosis and autophagy pathways， thereby alleviating intestinal inflammation and promoting the repair and regeneration of damaged mucosa. Based on this， this paper reviews the research progress of Chinese materia medica in the prevention and treatment of UC by modulating the Nrf2 signaling pathway. It deeply explores the physiological role of Nrf2， the molecular mechanism of activation， the protective effect in the pathological process of UC， and how active ingredients in Chinese materia medica regulate the Nrf2 signaling pathway through multiple pathways to exert their potential mechanisms. These studies have revealed in depth that Chinese materia medica can effectively combat oxidative stress by regulating the Nrf2 signaling pathway. It can also play a role in anti-inflammatory， promoting autophagy， inhibiting apoptosis， protecting the intestinal mucosal barrier， and promoting intestinal mucosal repair， providing new ideas and methods for the multi-faceted treatment of UC.

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.

Objective: Negative symptoms in schizophrenia indicate a poor prognosis. However, the mechanisms underlying the development of negative symptoms remain unclear. This study investigated the relationship between negative symptoms in schizophrenia and frontal alpha asymmetry (FAA). Methods: The study used a 32-channel electroencephalography to acquire alpha power in 4 target-paired sites in each patient. Regional alpha asymmetry was calculated based on the alpha power using EEGLAB Frontal Alpha Asymmetry Toolbox. Results: Sixty schizophrenia patients with predominant negative symptoms (PNS), 72 stabilized schizophrenia (SS) patients, and 73 healthy control (HC) participants were enrolled in this study. No significant differences were observed in FAA between the PNS and SS groups, although both groups exhibited reduced P3-P4 alpha asymmetry compared to HCs. A positive correlation was found between F7-F8 alpha asymmetry and illness duration. Additionally, a predictive model based on P3-P4 alpha asymmetry scores was able to differentiate schizophrenia patients from HCs, achieving a sensitivity of 71.2% and a specificity of 72.6%. Conclusion This study highlighted that parietal alpha asymmetry could serve as a valuable diagnostic tool for schizophrenia.

BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.

ObjectiveTo study the mechanism by which Shexiang Tongxin dropping pills （STDP） ameliorate the dysfunction of coronary microvascular endothelial cells in the rat model of heart failure. MethodsThe heart failure model was established by ligation of the left anterior descending coronary artery in rats， which were then allocated into sham， model， STDP， and telmisartan （TLM） groups and treated for 21 days. The heart function was detected by echocardiography， and the levels of myocardial injury markers， nitric oxide （NO）， endothelin-1 （ET1）， and angiotensinⅡ （AngⅡ） were determined by enzyme-linked immunosorbent assay （ELISA）. The protein levels of endothelial nitric oxide synthase （eNOS） and inducible nitric oxide synthase （iNOS） were determined by Western blot. The model of cardiac microvascular endothelial cell injury was established by AngⅡ induction and then treated with the STDP-containing serum （5%， 10%， and 20%） for 24 h. The levels of NO and ET1 were measured by ELISA. Western blot was employed to determine the protein levels of eNOS， iNOS， angiotensin-converting enzyme 2 （ACE2）， and angiotensinⅡ receptor 2 （AT2）. MLN-4760， an ACE2 inhibitor， was used to explore the mechanism underpinning the regulatory effect of STDP on the ACE2-AT2/MAS pathway. ResultsCompared with the sham group， the model group showed decreases in left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） （P<0.05）， a decline in serum NO level， elevations in serum AngⅡ and ET1 levels， a reduction in p-eNOS/eNOS ratio， and up-regulation in iNOS expression （P<0.05）. Compared with the model group， STDP increased LVEF， LVFS， and cardiac output （P<0.05）， raised the level of NO and lowered the levels of AngⅡ and ET1 in the serum （P<0.05）， increased the p-eNOS/eNOS value， and inhibited iNOS expression （P<0.05）. Compared with the AngⅡ group， STDP increased the NO content and decreased the ET1 content in endothelial cells （P<0.05）， increased the p-eNOS/eNOS ratio， and inhibited the iNOS expression （P<0.05）. The ACE2 inhibitor MLN-4760 reversed the regulatory effects of STDP on p-eNOS， eNOS， and iNOS. ConclusionSTDP improves the cardiac function in the rat model of heart failure， enhances the synthesis and release of NO in cardiac microvascular endothelial cells， reduces AngⅡ and ET1 levels， and regulates the expression of p-eNOS and eNOS， thereby ameliorating the dysfunction of microvascular endothelial cells in heart failure. This mechanism is related to the upregulation of the expression of proteins in the ACE2-AT2/MAS pathway.

ObjectiveThis study aims to analyze animal models of anxiety disorder based on the clinical characteristics of anxiety disorder in traditional Chinese and Western medicine， systematically assess the clinical compatibility， and provide suggestions for the construction of animal models with a high degree of clinical compatibility between traditional Chinese and Western medicine. MethodsRelevant literature on animal models of anxiety disorder was retrieved from global databases. Scoring scales were developed according to the etiology， pathogenesis， and diagnostic criteria of anxiety disorder in both traditional Chinese and Western medicine. The animal models of anxiety disorder in the literature were analyzed， and their clinical compatibility was systematically assessed to identify reference-worthy models. ResultsThe average clinical compatibility of existing animal models of anxiety disorder was 42.13% for traditional Chinese medicine and 50.94% for Western medicine. Among these， the chronic unpredictable mild stress （CUMS） model had the highest compatibility with both traditional Chinese and Western medicine. However， current models rarely reflect the clinical syndromes of traditional Chinese medicine in depth， and show limitations in syndrome differentiation. ConclusionThe existing animal models of anxiety disorder are mostly established using single-factor approaches， which fail to comprehensively simulate the onset process and physiopathological characteristics of anxiety disorder. These models also neglect the syndrome-based indicators emphasized in traditional Chinese medicine. In the future， the model development should incorporate the clinical characteristics of syndromes in both traditional Chinese and Western medicine， establish standardized evaluation criteria for anxiety disorder models， and utilize multifactorial approaches to enhance the representativeness of animal models in traditional Chinese medicine.

To investigate the therapeutic effect and related mechanisms of hordenine on ovalbumin (OVA)-induced allergic rhinitis (AR) in rats, HE and AB-PAS staining were used to detect the improvement of pathological damage to the nasal mucosa induced by hordenine. ELISA was employed to detect the effect of hordenine on OVA-sIgE in serum and IL-4 in the nasal mucosa supernatant of rats. IHC and Western blot experiments were undertaken to examine the effect of hordenine on Th1/Th2 cell balance. Bioinformatics analysis was performed to predict pathways, which were verified by in vivo and in vitro experiments. The experimental results showed that hordenine could alleviate the behavioral manifestations of OVA-induced AR rats, alleviate nasal mucosal pathological damage caused by AR, and reduce the secretion of OVA-sIgE and IL-4. In addition, hordenine could regulate the Th1/Th2 balance. Bioinformatics analysis results showed that the potential pathway of action of hordenine on AR was the phosphoinositide 3 kinase (PI3K)/protein kinase B (Akt) signaling pathway. The in vivo experimental results showed that the expression of PI3K and p-Akt proteins in the nasal mucosa of the model group rats was significantly increased (P < 0.01), and that the protein expression level was significantly decreased after the administration of hordenine, which was also confirmed by an in vitro experiment. This study suggests that hordenine may regulate Th1/Th2 cell balance through the PI3K/Akt signaling pathway, thereby exerting an alleviating effect on OVA-induced AR.

Tumor metabolic reprogramming and immune escape synergistically promote tumor progression, in which methionine (Met) metabolism plays a key role through epigenetic regulation and immune microenvironment remodelling. This paper systematically summarzes the mechanisms by which aberrant Met metabolism leads to “methionine addiction” and maintains the malignant phenotype of tumor cells, and describes its multiple modulations of the immune system: inducing T-cell depletion, promoting the polarization of M2-type macrophages, inhibiting the activity of NK cells, and enhancing the function of tumor-associated fibroblasts. Furthermore, therapeutic strategies targeting Met metabolism, including methionine-restricted diets, metabolic enzyme (MAT2A, NNMT) inhibitors, and epigenetic targets (PRMT5 inhibitors), are explored to provide theoretical reference for the development of Met-targeted therapies.

ObjectiveTo investigate the main risk factors for liver cirrhosis in chronic hepatitis B （CHB） patients with high metabolic risk， to establish a noninvasive predictive model， and to compare the diagnostic efficiency of this model and other models including fibrosis-4 （FIB-4）， aspartate aminotransferase-to-platelet ratio index （APRI）， gamma-glutamyl transpeptidase-to-platelet ratio （GPR）， and Forns index. MethodsA total of 527 CHB patients with high metabolic risks who were admitted to The Second Affiliated Hospital of Guangxi Medical University from September 1， 2017 to October 31， 2022 were enrolled as subjects， and they were randomly divided into modeling group with 368 patients and validation group with 159 patients at a ratio of 7∶3. The LASSO regression analysis and the multivariate Logistic regression analysis were performed for the modeling group to identify independent risk factors， and a nomogram model was established. The receiver operating characteristic （ROC） curve， the calibration curve， and the decision curve analysis were used to validate the nomogram prediction model in the modeling group and the validation group and assess its discriminatory ability， calibration， and clinical practicability. The Delong test was used to compare the area under the ROC curve （AUC） of the nomogram prediction model and other models. ResultsThe multivariate Logistic regression analysis showed that prealbumin （odds ratio ［OR］ = 0.993， 95% confidence interval ［CI］： 0.988 — 0.999， P= 0.019）， thrombin time （OR=1.182， 95% CI： 1.006 — 1.385， P=0.047）， log₁₀ total bilirubin （TBil） （OR=1.710， 95%CI： 1.239 — 2.419， P=0.001）， and log₁₀ alpha-fetoprotein （AFP） （OR=1.327， 95%CI： 1.052 — 1.683， P=0.018） were independent influencing factors for liver cirrhosis in CHB patients with high metabolic risks. A nomogram model for risk prediction was established based on the multivariate analysis， which had an AUC of 0.837 （95%CI： 0.788 — 0.888）， a specificity of 73.5%， and a sensitivity of 84.7%， as well as a significantly higher diagnostic efficiency than the models of FIB-4 （0.739）， APRI （0.802）， GPR （0.800）， and Forns index （0.709） （Z=2.815， 2.271， 1.989， and 2.722， P=0.005， 0.017， 0.045， and 0.006）. ConclusionThe nomogram model established based on prealbumin， thrombin time， log₁₀ TBil， and log₁₀ AFP has a certain clinical application value.

Liver failure （LF） is a severe clinical syndrome characterized by severe impairment or decompensation of liver function. At present， the key role of immune molecules in the pathogenesis of LF has been well established. These molecules not only directly participate in the pathological process of LF， but also influence the course of LF by modulating the behavior of immune cells. In addition， immune molecules can be used as potential biomarkers for evaluating the prognosis of LF. This article summarizes the role of immune molecules in LF and explores the therapeutic strategies based on these immune molecules， in order to provide new directions for the diagnosis and treatment of LF.