Attention deficit hyperactivity disorder （ADHD） is often accompanied by tic disorder. The core pathogenesis is considered to be ministerial fire scorching yin and internal stirring of deficient wind， which leads to disharmony between the body and spirit， resulting in clinical manifestations. The treatment principles emphasize nourishing yin fluids， calming ministerial fire， and extinguishing endogenous wind （内风）. The method of nourishing yin fluids is applied throughout the entire treatment process， commonly using ingredients such as Shudihuang （Rehmanniae Radix Praeparata）， Shanzhuyu （Corni Fructus）， Gouqizi （Lycii Fructus）， Wuweizi （Schisandrae Chinensis Fructus）， and Tusizi （Cuscutae Semen）. These are combined with approaches to harmonize the zang-fu organs， primarily including extinguishing liver wind， clearing heart fire， nourishing kidney water， and strengthening spleen earth， thereby stabilizing ministerial fire and extinguishing endogenous wind. Additionally， emotional regulation and smoothing emotional constraint are essential to improve clinical symptoms in children with ADHD comorbid with tic disorder.

ObjectiveTo characterize the quality differences among different germplasm and introduced varieties of Bupleurum scorzonerifolium roots（BSR）， and explore the underlying molecular mechanisms， providing a basis for high-quality production and quality control. MethodsWild BSR from Yulin（YLW） served as the quality reference， we conducted comparative analysis among YLW， locally domesticated wild germplasm in Yulin（YLC3）， Daqing germplasm introduced and cultivated in Yulin（YLDQC3）， and locally cultivated germplasm in Daqing（DQC3）. A combination of traditional pharmacognostic methods and modern multi-omics analyses was employed， including macroscopic traits（appearance， odor）， microscopic features（proportions of cork， phloem， xylem）， cell wall component contents（hemicellulose， cellulose， lignin）， carbohydrate contents（starch， water-soluble polysaccharides）， marker compound contents（ethanol-soluble extracts， total saponins， liposoluble extracts， and saikosaponins A， B₂， C， D）， metabolomics， and transcriptomics， in order to systematically characterize quality differences and investigate molecular mechanisms among these samples. ResultsMacroscopically， Yulin-produced BSR（YLW， YLC3， YLDQC3） exhibited significantly greater weight， length， and upper and middle diameters than Daqing-produced BSR（DQC3）. Odor-wise， YLW and YLC3 had a a fragrance taste， YLDQC3 had a rancid oil odor， and DQC3 had a sweet and fragrant taste. Microscopically， Yulin germplasm（YLW， YLC3） and Daqing germplasm（YLDQC3， DQC3） shared similar structural features， respectively. However， Yulin germplasm showed significantly higher proportions of cork and phloem， as well as stronger xylem vessel staining intensity compared to Daqing germplasm. Regarding various component contents， Yulin germplasm contained significantly higher levels of ethanol-soluble extracts， total saponins， and saikosaponins A， B₂， C， D， while Daqing germplasm had significantly higher levels of hemicellulose， starch， and liposoluble extracts. After introduction to Yulin， the Daqing germplasm（YLDQC3） showed increased starch， water-soluble polysaccharides and liposoluble extracts contents， decreased cell wall component content， but no significant difference in other component contents. Metabolomics revealed that saponins and terpenes accumulated significantly in Yulin germplasm， while alcohols and aldehydes accumulated predominantly in Daqing germplasm. Transcriptomics indicated similar gene expression patterns within the same germplasm but specificity between different germplasms. Integrative metabolomic-transcriptomic analysis identified 145 potential key genes associated with the saikosaponin biosynthesis pathway， including one acetyl-coenzyme A（CoA） acetyltransferase gene（ACAT）， one 3-hydroxy-3-methylglutaryl-coenzyme A synthase gene（HMGS）， two hydroxymethylglutaryl-CoA（HMG-CoA） reductase genes（HMG）， one phosphomevalonate kinase gene（PMK）， one 1-deoxy-D-xylose-5-phosphate synthase gene（CLA）， one hydroxymethylbuten-1-aldol synthase gene（HDR）， two farnesyl pyrophosphate synthase genes（FPPS）， one squalene synthase gene（SQS）， one β-amyrin synthase gene（BAS）， 102 cytochrome P450（CYP450） gene family members， and 32 uridine diphosphate-glucuronosyltransferase（UGT） gene family members. ConclusionAmong the three cultivated types， YLC3 most closely resembles YLW in appearance， microscopic features， contents of major bioactive constituents， metabolomic and transcriptomic profiles. Yulin germplasm exhibits superior saponin synthesis capability compared to Daqing germplasm， and Yulin region is more suitable for the growth of B. scorzonerifolium. Based on these findings， it is recommended that artificial cultivation in northern Shaanxi and similar regions utilize the local Yulin germplasm source cultivated for at least three years.

OBJECTIVE To provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules. METHODS Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography （HPLC） fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）. The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile， the contents of neochlorogenic acid （NGA）， chlorogenic acid （CHA）， cryptochlorogenic acid （CGA）， forsythoside A （FTA）， 3，5-O-dicaffeoylquinic acid （3，5-O- DA）， 4，5-O-dicaffeoylquinic acid （4，5-O-DA）， and angoroside C （AGC） in the samples were determined by HPLC. RESULTS The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples， and 7 of them were identified [NGA （peak 2）， CHA （peak 3）， CGA （peak 5）， FTA （peak 11）， 3，5-O-DA （peak 12）， 4，5-O-DA （peak 13）， and AGC （peak 14）]； the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories； the results of OPLS-DA indicated that peak 4 （unknown）， peak 11 （FTA）， peak 8 （unknown）， peak 9 （unknown）， and peak 1 （unknown） were the differential components. The content ranges of NGA， CHA， CGA， 3，5-O-DA， FTA， 4，5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7， 0.269 1-0.506 3， 0.228 1-0.461 1， 0.443 9-1.044 6， 0.066 7-0.155 7， 0.062 8-0.143 8， and 0.057 4-0.105 7 mg/g， respectively. CONCLUSIONS The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable， and can be used for the quality evaluation of Qingwen hufei granules.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective To construct glucose oxidase（GOx）–loaded nanogels （GONGs）, optimize their formulation, and evaluate their capacity to inhibit the Warburg effect in glioma cells. Methods A responsive polymer （HAM） was synthesized and used to self-assemble GONGs, which were then characterized. Encapsulation efficiency and drug loading were determined using fluorescence spectrophotometry. Biocompatibility was tested by measuring cytotoxicity and hemolytic activity. Western blotting was used to evaluate the effects of GONGs on the expression of proteins associated with the Warburg phenotype and oxidative damage in glioma cells. Results GONGs prepared at a drug–to–polymer ratio of 1∶10 exhibited a particle size of 140.3 nm and a zeta potential of −27.2 mV. Compared with free GOx, GONGs markedly reduced cytotoxicity, increased the IC₅₀ in hUVEC cells from 2.150 nmol/L to 74.86 nmol/L, and significantly decreased hemolysis. At a GOx concentration of 2 nmol/L, GONGs effectively downregulated glycolysis-related proteins, such as HK2 and LDHA, and inhibited glutamine metabolism in glioma cells. Conclusion GONGs exhibited high GOx loading capacity, significantly reduced GOx-induced cytotoxicity, inhibited the Warburg effect in glioma cells and induced oxidative damage.

OBJECTIVE To observe the effects of Modified shaoyao gancao decoction on intestinal transit function， intestinal flora and the contents of metabolites [γ aminobutyric acid （GABA） and 5-hydroxytryptamine （5-HT）] in slow transit constipation （STC） rats. METHODS SD rats were randomly divided into blank group （10 rats） and modeling group （30 rats）， with half male and half female. The STC model was established by intragastric administration of Compound diphenoxylate tablets in the modeling group. The successfully modeled rats were randomly divided into model group， Modified shaoyao gancao decoction group [56 g/（kg·d）， calculated by crude drug] and positive control group [lactulose 2.09 g/（kg·d）]， with 10 rats in each group. Each administration group was given relevant medicine intragastrically， the blank group and model group received an equivalent volume of normal saline， once a day， for 14 consecutive days. During the experiment， the general situation of rats was observed in each group. After the last medication， the body weight was measured， and the Bristol score was used to evaluate the fecal characteristics. The fecal moisture content， intestinal propulsion rate， and the contents of GABA and 5-HT in intestinal content were detected； the diversity of intestinal flora in intestinal contents was investigated， and the correlation between the contents of GABA， 5-HT and relative abundance of microbiota was analyzed. RESULTS Compared with the model group， general conditions such as small body shape， sparse and rough fur， and slow movement were all improved in Modified shaoyao gancao decoction body weight， Bristol score， fecal moisture content，intestinal propulsion rate， 5-HT content， Chao1 index and Shannon index were increased significantly， while GABA content and Simpson index were decreased significantly （P＜0.05）. The intestinal flora of rats in the Modified shaoyao gancao decoction group could be classified as the same as the blank group， but was far from the model group； the relative abundances of Desulfobacterota， Firmicutes and Bacteroidota in this group showed a tendency of pull back， but the differences were not statistically significant compared to model group （P＞0.05）. Desulfobacterota was an intergroup differential factor （P＜0.05）. The content of GABA was negatively correlated with the relative abundance of Bacteroidota， Cyanobacteria， Patescibacteria and Actinobacteriota （P＜0.05）. The content of 5-HT was positively correlated with the relative abundance of Campilobacterota （P＜0.05）. CONCLUSIONS Modified shaoyao gancao decoction can improve the fecal properties and intestinal motility of STC rats. Its mechanism may be related to improving intestinal flora and then affecting the contents of GABA and 5-HT in intestinal contents. In addition， the contents of GABA and 5-HT may be significantly correlated with the relative abundance of specific bacterial phyla such as Bacteroidota and Campilobacterota.

OBJECTIVE To observe the effects of Modified shaoyao gancao decoction on intestinal transit function， intestinal flora and the contents of metabolites [γ aminobutyric acid （GABA） and 5-hydroxytryptamine （5-HT）] in slow transit constipation （STC） rats. METHODS SD rats were randomly divided into blank group （10 rats） and modeling group （30 rats）， with half male and half female. The STC model was established by intragastric administration of Compound diphenoxylate tablets in the modeling group. The successfully modeled rats were randomly divided into model group， Modified shaoyao gancao decoction group [56 g/（kg·d）， calculated by crude drug] and positive control group [lactulose 2.09 g/（kg·d）]， with 10 rats in each group. Each administration group was given relevant medicine intragastrically， the blank group and model group received an equivalent volume of normal saline， once a day， for 14 consecutive days. During the experiment， the general situation of rats was observed in each group. After the last medication， the body weight was measured， and the Bristol score was used to evaluate the fecal characteristics. The fecal moisture content， intestinal propulsion rate， and the contents of GABA and 5-HT in intestinal content were detected； the diversity of intestinal flora in intestinal contents was investigated， and the correlation between the contents of GABA， 5-HT and relative abundance of microbiota was analyzed. RESULTS Compared with the model group， general conditions such as small body shape， sparse and rough fur， and slow movement were all improved in Modified shaoyao gancao decoction body weight， Bristol score， fecal moisture content，intestinal propulsion rate， 5-HT content， Chao1 index and Shannon index were increased significantly， while GABA content and Simpson index were decreased significantly （P＜0.05）. The intestinal flora of rats in the Modified shaoyao gancao decoction group could be classified as the same as the blank group， but was far from the model group； the relative abundances of Desulfobacterota， Firmicutes and Bacteroidota in this group showed a tendency of pull back， but the differences were not statistically significant compared to model group （P＞0.05）. Desulfobacterota was an intergroup differential factor （P＜0.05）. The content of GABA was negatively correlated with the relative abundance of Bacteroidota， Cyanobacteria， Patescibacteria and Actinobacteriota （P＜0.05）. The content of 5-HT was positively correlated with the relative abundance of Campilobacterota （P＜0.05）. CONCLUSIONS Modified shaoyao gancao decoction can improve the fecal properties and intestinal motility of STC rats. Its mechanism may be related to improving intestinal flora and then affecting the contents of GABA and 5-HT in intestinal contents. In addition， the contents of GABA and 5-HT may be significantly correlated with the relative abundance of specific bacterial phyla such as Bacteroidota and Campilobacterota.

BackgroundDepression is a prevalent emotional problem in adolescents， and parental psychological control is an important predictor of adolescent depression. However， existing research on the acting mechanism between the two is not adequate. ObjectiveTo explore the pathway of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students， so as to provide references for reducing the incidence risk of depression in such population. MethodsFrom February to April 2023， 1 100 students across 2 middle schools and 2 high schools in Zhongshan city were selected as subjects. The survey was conducted adopting Parental Psychological Control Questionnaire， Chinese Frost Multidimensional Perfectionism Scale （CFMPS）， sense of academic stress subscale in Mental Health Inventory of Middle School Student （MMHI-60） and Center for Epidemiological Studies-Depression Scale （CES-D）. Spearman correlation analysis was adopted to examine the correlation between scores of all scales above， and Amos 24.0 was used to test the mediating path of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students. ResultsAmong the 1 009 valid questionnaires withdrew （91.73% of the total）， 261 students were detected to have depressive symptoms （25.87%）. As the results of Spearman correlation analysis showed， the scores of the Parental Psychological Control Questionnaire， score of negative perfectionism dimension in CFMPS， score of sense of academic stress subscale in MMHI-60 and CES-D score were positively correlated with each other （r=0.323~0.644， P<0.05 or 0.01）. The direct effect value of parental psychological control on depressive symptoms in secondary school students was 0.128 （95% CI： 0.061~0.201）， accounting for 31.37% of the total effect. Negative perfectionism and academic stress played independently as intermediatory roles between parental psychological control and depressive symptoms in secondary school students， and the indirect effect values were 0.099 （95% CI： 0.068~0.133） and 0.100 （95% CI： 0.060~0.143）， accounting for 24.27% and 24.51% of the total effect， respectively. Negative perfectionism and academic stress acted combinedly as the chain effect pathway between parental psychological control and depressve symptoms in secondary school students， with the indirect effect value of 0.081 （95% CI： 0.060~0.106） accounting for 19.85% of the total effect. ConclusionParental psychological control can affect the depressive symptoms among secondary school students directly， and through independent or chain paths of negative perfectionism and academic stress indirectly. ［Funded by Zhongshan Social Welfare Technology Research Project （number， 2022B1060）］