OBJECTIVE To analyze the differences in chemical components of Gardenia jasminoides before and after processing with ginger， and to evaluate the quality differences among different producing areas. METHODS Ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry was used to analyze the compositional differences of G. jasminoides before and after processing with ginger. The water content， total ash， and ethanol-soluble extract content of ginger- processed G. jasminoides were determined according to the 2020 edition of Chinese Pharmacopoeia. High performance liquid chromatography was adopted to determine the contents of genipin gentiobioside， geniposide， crocin Ⅰ and crocin Ⅱ in ginger- processed G. jasminoides. RESULTS A total of 49 chemical components were identified from raw G. jasminoides and ginger- processed G. jasminoides， including 14 flavonoids， 15 iridoids， 10 organic acids， 2 alkaloids and 8 other compounds. Among them， 42 components were detected in raw G. jasminoides， 28 in ginger-processed G. jasminoides， and 21 components were common to both. After processing with ginger， raw G. jasminoides lost 21 components （including iridoids， flavonoids， alkaloids， and others）， while 7 chemical components were added （including coumarins， organic acids， organic acid esters， and flavonoids）. For the 15 batches of ginger-processed G. jasminoides， the water content ranged from 5.64% to 7.11%， total ash from 2.92% to 4.87%， and ethanol-soluble extract from 40.61% to 58.02%. The average contents of genipin gentiobioside， geniposide， crocin Ⅰ and crocin Ⅱ were 0.108 7， 0.542 2， 0.565 0， and 0.012 5 mg/g， respectively. CONCLUSIONS After processing with ginger， G. jasminoides loses 21 components， while 7 new components are added. Differences are observed in the water content， total ash， ethanol-soluble extract， and the contents of genipin gentiobioside， geniposide， crocin Ⅰ， and crocin Ⅱ of ginger-processed G. jasminoides from different producing areas. Notably， samples from Fujian exhibit high contents of genipin gentiobioside and ethanol-soluble extract， while samples from Jiangxi have a high content of crocin Ⅰ.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

Objective:To examine the roles played by peer attachment and cognitive fusion in the association between negative life events and depression,as well as the differences in these relationships of variables among pri-mary and secondary school students.Methods:A total of 2 767 students(1 950 elementary school students and 817 middle school students)were selected.The Adolescent Life Events Scale,the Experiences in Close Relationships-Relationship Structures Questionnaire,the Cognitive Fusion Questionnaire,and the Patient Health Questionnaire were used to measure negative life events,peer attachment,cognitive fusion,and depression,respectively.Results:Negative life events,peer attachment,cognitive fusion and depression were positively correlated with each other(r=0.36-0.75,Ps＜0.001);the mediation effects of peer attachment and cognitive fusion and their chain mediation effects were 0.04,0.30,and 0.04,respectively,accounting for 6.7％,50％,and 6.7％of the total effect.There were significant differences in the chain mediation model between primary and secondary school students(△x2=47.12,△df=6,P＜0.001),and significant gender differences in the chain mediation effect among primary school students(△x2=43.72,△df=6,P＜0.001).Conclusion:Negative life events influence depression in primary and secondary school students both directly and indirectly through peer attachment and cognitive fusion.Negative life e-vents have greater impact on primary school students'(particularly girls)peer attachment.Peer attachment has grea-ter impact on secondary school students' cognitive fusion.Cognitive fusion has greater impact on primary school students' depression.Peer attachment has greater impact on primary school boys' depression.

Objective:To examine the roles played by peer attachment and cognitive fusion in the association between negative life events and depression,as well as the differences in these relationships of variables among pri-mary and secondary school students.Methods:A total of 2 767 students(1 950 elementary school students and 817 middle school students)were selected.The Adolescent Life Events Scale,the Experiences in Close Relationships-Relationship Structures Questionnaire,the Cognitive Fusion Questionnaire,and the Patient Health Questionnaire were used to measure negative life events,peer attachment,cognitive fusion,and depression,respectively.Results:Negative life events,peer attachment,cognitive fusion and depression were positively correlated with each other(r=0.36-0.75,Ps＜0.001);the mediation effects of peer attachment and cognitive fusion and their chain mediation effects were 0.04,0.30,and 0.04,respectively,accounting for 6.7％,50％,and 6.7％of the total effect.There were significant differences in the chain mediation model between primary and secondary school students(△x2=47.12,△df=6,P＜0.001),and significant gender differences in the chain mediation effect among primary school students(△x2=43.72,△df=6,P＜0.001).Conclusion:Negative life events influence depression in primary and secondary school students both directly and indirectly through peer attachment and cognitive fusion.Negative life e-vents have greater impact on primary school students'(particularly girls)peer attachment.Peer attachment has grea-ter impact on secondary school students' cognitive fusion.Cognitive fusion has greater impact on primary school students' depression.Peer attachment has greater impact on primary school boys' depression.

Naringenin (4,5,7-trihydroxyflavonoid) is a naturally occurring bioflavonoid found in citrus fruits, which plays an important role in metabolic syndrome, neurological disorders, and cardiovascular diseases. However, the pharmacological mechanism and biological function of naringenin on anti-angiogenesis and anti-tumor immunity have not yet been elucidated. Our study firstly demonstrates that naringenin inhibits the growth of hepatocellular carcinoma (HCC) cells both in vivo and in vitro. Naringenin diminishes the ability of HCC cells to induce tube formation and migration of human umbilical vein endothelial cells (HUVECs) and suppresses neovascularization in chicken chorioallantoic membrane (CAM) assays. Meanwhile, in vivo results demonstrate that naringenin can significantly upregulate level of CD8⁺ T cells, subsequently increasing the level of immune-related cytokines in the tumor immune microenvironment. Mechanistically, we found that naringenin facilitate the K48-linked ubiquitination and subsequent protein degradation of vascular endothelial growth factor A (VEGFA) and mesenchymal-epithelial transition factor (c-Met), which reduces the expression of programmed death ligand 1 (PD-L1). Importantly, combination therapy naringenin with PD-L1 antibody or bevacizumab provided better therapeutic effects in liver cancer. Our study reveals that naringenin can effectively inhibit angiogenesis and anti-tumor immunity in liver cancer by degradation of VEGFA and c-Met in a K48-linked ubiquitination manner. This work enlightens the potential effect of naringenin as a promising therapeutic strategy against anti-angiogenesis and anti-tumor immunity in HCC.

Objective To construct a model combining with traditional Chinese medicine(TCM)syndrome for predicting the risk of disease progression in patients with idiopathic membranous nephropathy(IMN)by machine learning methods,thus to quantitatively evaluating the value of TCM syndrome in the prediction of the risk of disease progression in IMN.Methods Monofactor analysis,recursive feature elimination(RFE)and multivariate binary Logistic regression analysis were used to screen the independent related factors affecting the risk of disease progression of IMN,and then a risk prediction model was constructed.A total of 102 patients with IMN were randomly assigned to the training set and the test set in a ratio of 65∶35,and then the comparison was conducted in the performance indicators of accuracy,sensitivity,specificity,F1 value,and area under the receiver operating characteristic(ROC)area under the curve(AUC)of the risk prediction model with or without the inclusion of the TCM syndrome information.Results Before the inclusion of TCM syndrome information,12 clinical characteristic variables for patients with MN were obtained after monofactor analysis combined with RFE screening,and they were age,hemoglobin quantification,urinary occult blood,24-hour urine protein quantification,urine protein-creatinine ratio,estimated glomerular filtration rate(eGFR),creatinine,uric acid,alanine transaminase,anti-phospholipase A2 receptor antibody(PLA2R-Ab),total cholesterol,and low-density lipoprotein cholesterd.A risk cholesterol prediction model containing the above variables was constructed.The multivariate binary Logistic regression analysis showed that the differences of the clinical variables mentioned above between the training-set group and test-set group were statistically significant,and the risk prediction model presented good sensitivity and predictability.Monofactor analysis combined with RFE screening was performed again after the inclusion of TCM syndrome information,and then 14 variables were obtained,which included blood stasis syndrome and dampness obstruction syndrome.The sensitivity and specificity of the model with the inclusion of the TCM syndrome information were significantly improved when compared with those without the inclusion of TCM syndrome information.Conclusion The results of the study initially indicate that TCM syndrome can be used as an important supplementary variable for predicting the risk of disease progression in IMN,and will provide a reference for intelligent diagnosis through the integration of traditional Chinese and western medicine information,and will supply the guidance for the treatment of IMN with TCM.

Objective To develop an appropriate comprehensive scale for mild cognitive impairment in Parkinson dis-ease(PD-MCI)due to various diagnostic methods for PD-MCI and a lack of consensus on the applicable neuropsychological scales for PD-MCI.Methods A total of 92 non-dementia PD patients with a confirmed diagnosis were enrolled in this study,and all patients were assessed using the comprehensive scale of five cognitive domains recommended by the Chinese version of PD-MCI guidelines and Movement Disorder Society(MDS).Based on the norms of healthy controls assessed by the same scale,the patients were divided into non-cognitive impairment PD group and PD-MCI group.The t-test was used to observe the consistency between groups;the receiver operating characteristic(ROC)curve was used to investigate the cut-off value of each scale with the highest sensitivity and specificity in identifying the impairment in each cognitive domain of PD-MCI;a binary lo-gistic regression analysis was used to determine the specific contents of the comprehensive cognitive domain assessment scale for PD-MCI.Results This study showed that the ten-point comprehensive cognitive domain assessment scale based on long-time memory in Brief Visuospatial Memory Test,Clock Drawing Test,digit span backward test,Trail Making Test A,Verbal Flu-ency Test,Trail Making Test B,Similarities,Boston Naming Test,long-time recall memory in Auditory Verbal Learning Test,and short-time recall memory in Wechsler Memory Scale-IV Logical Memory Test had a significant diagnostic validity in predict-ing PD-MCI,with an area under the ROC curve of 0.971(95%CI 0.941?1.000).Conclusion The recommended cut-off value can be used to perform a subtype analysis of PD-MCI and observe the outcome and clinical specificity of different subtypes of PD-MCI,and therefore,it has a certain clinical significance.

Objective To establish the delimitation norm of cognitive domain assessment scales for Parkinson dis-ease(PD)in Beijing,China,and to investigate the optimal cut-off values for determining abnormal neuropsychological as-sessments.Methods A total of 33 normal middle-aged and elderly individuals in communities and 89 patients with non-dementia PD were included in this study,and all subjects underwent global cognitive function screening and cognitive do-main assessments.According to whether Montreal Cognitive Assessment(MoCA)score was greater than 25 points,the pa-tients with PD were divided into mild cognitive impairment group(PD-MCI group)and normal cognition group(PD-NC group).In order to compare the consistency between PD-related cognitive domain assessment scales and global cognitive function screening in the diagnosis of PD-MCI,different cut-off values below the appropriate norms(i.e.,1.00 standard deviation,1.28 standard deviations,1.64 standard deviations,1.96 standard deviations below the mean)were examined for sensitivity,specificity,positive predictive value,and negative predictive value to obtain the optimal cut-off value.Results The delimitation norm of PD-related cognitive domain assessment scales was established for Beijing,and the re-sults showed that 1.96 standard deviations had the highest consistency in the diagnosis of PD-MCI and PD-NC,with the best sensitivity and specificity.Conclusion This study establishes the delimitation norm of PD-related cognitive domain assess-ment scales and fills the blank of the unbounded value of most domestic PD cognitive impairment assessment scales,and it also proposes the optimal cut-off value of abnormal neuropsychological assessment,which provides a reference standard for the cognitive domain assessment of PD patients in China and helps clinicians to identify cognitive decline in PD patients and adopt intervention measures in the early stage.

Objective To evaluate the equity of health human resources allocation in traditional Chinese(TCM)hospitals from 2012 to 2021,and forecast the number of various health technicians,so as to provide theoretical basis for the reasonable allocation of health human resources of TCM health service.Methods The data of health personnel in TCM hospitals were collected,and Theil index and clustering degree were used to analyze the equity of health human resource allocation.The grey GM(1,1)model was used to predict the demand of health personnel in TCM hospitals.Results From 2012 to 2021,the health human resources of TCM hospitals in China showed an overall growth trend.According to the analysis of Theil index in each region,the contribution rate of Theil index showed that the difference between regions was the main factor causing the difference in personnel allocation.The concentration degree of TCM hospitals in terms of geographical allocation was eastern region,central region and western region,respectively.Conclusion The expansion of high-quality medical resources and the rational allocation of TCM resources should be promoted.Clear target responsibility,promote fine management,improve the fairness of medical personnel allocation;Based on traditional advantages,broaden training ideas,and effectively build a multi-dimensional training system for TCM talents.