ObjectiveTo identify the prototypical components and metabolites absorbed into blood and cerebrospinal fluid of Schisandrae Chinensis Fructus（SCF） based on sequential metabolism combined with liquid chromatography-mass spectrometry. MethodBlood and cerebrospinal fluid samples of integrated metabolism， intestinal metabolism and hepatic metabolism were collected from male SD rats after gavage and in situ intestinal perfusion administration， and ultra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC Q-Exactive Orbitrap MS） was used to analyze and compare the differences in the spectra of SCF extract， blank plasma， administered plasma， blank cerebrospinal fluid and administered cerebrospinal fluid with ACQUITY UPLC BEH Shield RP18 column（2.1 mm×100 mm， 1.7 µm）， the mobile phase was acetonitrile（A）-0.1% formic acid aqueous solution（B） for gradient elution（0-7 min， 95%B； 7-12 min， 95%-35%B； 12-17 min， 35%-15%B； 17-20 min， 15%-12%B； 20-22 min， 12%-5%B； 22-23 min， 5%B； 23-25 min， 5%-95%B； 25-28 min， 95%B）. And heated electrospray ionization（HESI） was used with positive and negative ion modes， the scanning range was m/z 100-1 500. The prototypical constituents and their metabolites absorbed into blood and cerebrospinal fluid of SCF were identified according to the retention time， characteristic fragments， molecular formulae and the information of reference substances. ResultA total of 42 chemical components were identified in the extract of SCF， including lignans， flavonoids， amino acids， tannins， and others， of which lignans were the main ones. A total of 27 prototypical components and 14 metabolites were identified in plasma samples from different sites. A total of 15 prototypical components and 9 metabolites were identified in cerebrospinal fluid. The main metabolic reactions involved in the formation of metabolites were mainly demethylation， methylation， demethoxylation and hydroxylation. ConclusionThrough the systematic identification of the prototypical components and metabolites of SCF in rats， it provides data support for further better exploring the material basis of SCF in the treatment of central nervous system diseases.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

Objective To explore the status quo of treatment adherence and its influencing factors in community management of patients with chronic diseases in Nanjing. Methods A total of 673 patients with chronic diseases managed by community health service centers in Nanjing were selected. The general data of the study subjects were collected. MMAS-8 Scale, the Chinese version of WHQOL-BREF and PSS-Fa were used to evaluate the treatment adherence, quality of life and family support level. Pearson correlation was used to analyze the correlation between MMAS-8 score and WHQOL-BREF Chinese version and PSS-Fa score, and logistic regression analysis was used to investigate the influencing factors of treatment adherence. Results The MMAS-8 score was positively correlated with WHQOL-BREF Chinese version psychological and social management domain score and PSS-Fa score , logistic regression analysis results suggested that > 65 years of age (OR =1.723) was a risk factor for poor treatment adherence, undergraduate and above education level (OR = 0.582), annual family income > 80 000 yuan (OR = 0.603), comorbidity of chronic diseases (OR = 0.718), better overall evaluation of their own quality of life (OR = 0.547) , and high family support level (OR = 0.619) were protective factors for poor treatment adherence, and the above differences were statistically significant (P < 0.05) . Conclusion There is still room to improve the treatment adherence of patients with chronic diseases in community management in Nanjing . It is necessary to focus on elderly patients, strengthen the education of patients with single chronic diseases and improve the quality of life and family support level of patients.

OBJECTIVE To explore the changes in chemical compositions and the characteristics of “fried charcoal and saving properties” based on the carbon-frying process of Sophora japonica and its bud. METHODS The slightly， moderately and heavily carbon-fried samples of S. japonica and its bud were prepared. The fingerprints of S. japonica， its bud and carbon-fried samples were established， and common peaks were identified. HPLC method was used to determine the contents of identified components and differential analysis was also performed； the differential components were screened by using chemometric methods， and their content ratios were used to characterize the “fried charcoal and saving properties” of S. japonica and its bud. RESULTS There were 9 common peaks in the fingerprints of S. japonica and its carbon-fried samples， 8 common peaks in those of S. japonica bud and its carbon-fried samples. In the fingerprints of S. japonica and its bud， and their different fried products， 6 components were identified， such as rutin， kaempferol-3-O-rutinoside， isorhamnetin-3-O-rutinoside， quercetin， kaempferol，isorhamnetin. Among them， the contents of rutin， kaempferol-3-O-rutinoside and isorhamnetin-3-O-rutinoside were the highest in slightly carbon-fried samples of S. japonica bud， and the contents of quercetin and isorhamnetin were the highest in moderately carbon-fried samples of S. japonica bud， and the contents of kaempferol were higher in moderately and healily carbon-fried samples of S. japonica bud. The chemometric results showed that the variable importance projection values of rutin and quercetin were both greater than 1. The range of rutin-quercetin content ratio between 9.00-14.00 and 3.00-6.00 respectively could characterize “fried charcoal and saving properties” of S. japonica and its bud. CONCLUSIONS There are significant differences in the chemical compositions of raw and fried products of S. japonica and its bud. Rutin and quercetin may be the differential components that affect their quality， and the ratio range of the two can be used to characterize the “fried charcoal and saving properties” of S. japonica and its bud in the future.

ObjectiveTo examine the inhibitory effects of berberine compounds， including columbamine， on acetylcholinesterase from the perspectives of drug-target binding affinity and kinetics and explore the blood-brain barrier （BBB） permeability of these compounds in different multi-component backgrounds. MethodThe median inhibitory concentration （IC₅₀） of acetylcholinesterase by berberine compounds including columbamine was measured using the Ellman-modified spectrophotometric method. The binding kinetic parameters （K_off） of these compounds with acetylcholinesterase were determined using the enzyme activity recovery method. A qualitative analysis of the ability of these components to penetrate the BBB and arrive at the brain tissue in diverse multi-component backgrounds （including medicinal herbs and compound formulas） was conducted using ultra performance liquid chromatography-high resolution mass spectrometry （UPLC-HRMS）. ResultBerberine compounds， including columbamine， exhibited strong inhibition of acetylcholinesterase， with IC₅₀ values in the nanomolar range. Moreover， they displayed better drug-target binding kinetics characteristics （with smaller K_off values） than the positive control of donepezil hydrochloride （P<0.01）， indicating a longer inhibition duration of acetylcholinesterase. Berberine components such as columbamine could penetrate the BBB to arrive at brain tissue in the form of a monomer， as well as in the multi-component backgrounds of Coptis and Phellodendri Chinensis Cortex medicinal extracts and the compound formula Huanglian Jiedutang. ConclusionThese berberine compounds such as columbamine exhibit a strong inhibitory effect on acetylcholinesterase and can arrive at brain tissue in multi-component backgrounds. In the level of pharmacological substance， this supports the clinical efficacy of compound Huanglian Jiedutang in improving Alzheimer's disease， providing data support for elucidating the pharmacological basis of compound Huanglian Jiedutang.

Objective To quantitatively analyze and evaluate the content of rehabilitation policy for people with disabilities in China. Methods This study focused on ten national policies of disability rehabilitation issued from 2021 to 2023.It employed text mining techniques to process policy texts and constructed a policy modeling consistency index model for dis-ability rehabilitation policies in China.The relevant policies were evaluated and analyzed quantitatively. Results The disability rehabilitation policies in China were relatively comprehensive in terms of policy transparency,op-erational mechanisms and policy nature.However,there was still a need for optimization in terms of policy per-spectives,target groups,incentive mechanisms,and other aspects. Conclusion The overall quality of disability rehabilitation policy texts at the national level in China is relatively good.There is a need to further enhance the predictability of policy objectives,clarify the responsibilities and division of labor among various departments,and improve policy incentive mechanisms in future policy formulation,which will further refine China's disability rehabilitation policy system and contribute to high-quality develop-ment of the disability cause.

Objective To assess the elderly health-related rehabilitation services(HRRS)needs from a community and population perspective and construct a community-based elderly HRRS framework. Methods The limitation of the elderly HRRS was analyzed,a community-based elderly rehabilitation service framework based on the International Classification of Functioning,Disability,and Health(ICF)was guided,and the imple-mentation path was proposed. Results This paper analyzed the evaluation,provision and models of existing community rehabilitation services both do-mestically and internationally.It combined the background and practical requirements of China's new era to eluci-date the connotation of HRRS for the elderly in the community.It proposed constructing a community-based el-derly HRRS framework guided by ICF.The paper also offered implementation strategies for promoting communi-ty-based elderly HRRS,focusing on enhancing leadership and policy,financing,human resources,service provi-sion,technology,and digital intelligence empowerment.It provided reference and insights for advancing the na-tional strategy of population aging and implementing the Healthy China strategy. Conclusion It is suggested to continue to accelerate the development of rehabilitation capacity,and increase the supply of HRRS,to meet the diverse needs of the masses of HRRS.

Objective:To analyze the variations of serum lymphocyte subsets, immunoglobulins, and complement levels in patients with cheilitis, and to explore the associations between the changes in serum immune levels and the onset of cheilitis.Methods:A retrospective analysis was conducted on 153 patients with cheilitis who visited the Department of Stomatology, The First Affiliated Hospital of Zhengzhou University from January 2017 to December 2023. They were compared with 50 healthy individuals who visited the physical examination department during the same period. The changes of serum lymphocyte subsets, immunoglobulins, and complement levels in patients with cheilitis were analyzed. Main detection indicators as the percentage of total T lymphocytes (T%), helper/inducer T lymphocytes (CD4 +T%), absolute numbers of total T lymphocytes (T#), absolute numbers of helper/inducer T lymphocytes (CD4 +T#), percentage of natural killer cells (NK%), absolute numbers of B lymphocytes (B#), immunoglobulins IgG, IgM and complement C3, C4 were included. Multivariate logistic regression was used to explore the relationship between serum lymphocyte subsets, immunoglobulins, complement levels and cheilitis. Subgroup analysis was further conducted on patients with cheilitis based on gender, age, cheilitis type and severity. Results:The levels of T% [69.54% (64.41%, 75.14%)], CD4 +T% [(35.09±7.10)%], T# [1 328.00 (1 054.00, 1 560.50)], and CD4 +T# [653.00 (505.00, 831.50)] in the cheilitis group were significantly lower than those in the control group respectively [72.33% (69.41%, 75.47%), (39.07±5.84)%, 1 483.50 (1 245.75, 1 805.25), 769.00 (687.25, 933.00), with the corresponding statistical test results of Z=-2.64, P=0.008; t=3.58, P<0.001; Z=-2.80, P=0.005; Z=-3.80, P<0.001]. The level of NK% [16.21% (12.16%, 21.29%)] was significantly higher in the cheilitis group compared to the control group [14.61% (10.97%, 17.87%)] ( Z=-2.28, P=0.023). IgG [12.29 (10.77, 13.73) g/L] and IgM levels [1.18 (0.86, 1.58) g/L] were significantly higher in the cheilitis group than in the control group respectively [11.52 (10.16, 12.91) g/L, 0.99 (0.77, 1.26) g/L] ( Z=-2.24, P=0.025; Z=-2.10, P=0.036), while complement C3 [(1.09±0.17) g/L] and C4 levels [0.23 (0.19, 0.28) g/L] were significantly lower in the cheilitis group compared to the control [(1.18±0.17) g/L, 0.31(0.24, 0.35) g/L] ( t=3.10, P=0.002; Z=-4.79, P<0.001). Logistic regression analysis showed that elevated IgG ( P=0.021), decreased C4 ( P<0.001), decreased CD4 +T% ( P=0.003), and decreased T# ( P=0.035) were independent influencing factors for the occurrence of cheilitis. The rate of abnormal lymphocyte immune analysis in the cheilitis group [68.0% (104/153)] was significantly higher than that in the control group [24.0% (12/50)] (χ 2=29.76, P<0.001). The rate of abnormal immunoglobulin and complement detection in the cheilitis group [41.8% (64/153)] was significantly higher than that in the control group [4.0% (2/50)] (χ 2=24.58, P<0.001). The rate of detection abnormalities in female patients with cheilitis [51.5% (53/103)] was significantly higher than in male ones [22.0% (11/50)] (χ 2=12.00, P=0.001). Patients with granulomatous cheilitis had significantly lower levels of T# [1 136.50 (663.75, 1 310.50)] and B# [162.50 (104.00, 225.50)] compared to those with chronic cheilitis [1 366.00 (1 063.03, 1 602.00), 202.48 (148.00, 298.00)] ( Z=-2.35, P=0.019; Z=-2.16, P=0.031). Conclusions:Patients with cheilitis exhibit a certain degree of imbalance on cellular immunity, humoral immunity, and innate immunity, which may be related to the onset of cheilitis.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective:To explore the application effect of early nursing intervention based on NNN-link in social disorders of children with autism spectrum disorders (ASD) .Methods:A total of 126 hospitalized children with ASD in the Rehabilitation Center of Henan Children's Hospital from January to May 2023 were selected as research subjects by convenience sampling. They were randomly divided into an intervention group ( n=63) and a control group ( n=63) using a random number table. The control group received routine care, while the intervention group received early nursing intervention based on NNN-link in addition to routine care. The Social Disorder-related Nursing Diagnosis Outcome Scales and the Childhood Autism Rating Scale (CARS) scores were compared between the two groups before and after intervention. Results:After the early nursing intervention, the scores for family atmosphere, participation in leisure activities, participation in play, social skills, and social participation were higher in the intervention group compared to the control group, the differences were statistically significant ( P<0.05). The CARS scores of the intervention group were also lower than those of the control group, the differences were statistically significant ( P<0.05) . Conclusions:Early nursing intervention based on NNN-link can effectively improve the social disorder conditions of children with ASD, reduce their autism symptoms, and promote recovery.